Klaus H. Maier-Hein

According to our database, Klaus H. Maier-Hein authored at least 259 papers between 2006 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Medical Image De-Identification Benchmark Challenge.

Linmin Pei, Sutton Granger, Michael W. Rutherford, Ulrike Wagner, Tracy S. Nolan, Kirk E. Smith, Phillip Farmer, Peter Gu, Ambar Rana, Kailing Chen, Thomas Ferleman, Brian Park, Ye Wu, Jordan Kojouharov, Gargi Singh, Jon Lemon, Tyler Willis, Milos Vukadinovic, Grant Duffy, Bryan He, David Ouyang, Marco Pereanez, Daniel D. Samber, Derek A. Smith, Christopher Cannistraci, Zahi Fayad, David S. Mendelson, Michele Bufano, Elmar Kotter, Hamideh Haghiri, Rajesh Baidya, Stefan Dvoretskii, Klaus H. Maier-Hein, Marco Nolden, Christopher Ablett, Silvia Siggillino, Sandeep Kaushik, Hongzhu Jiang, Sihan Xie, Zhiyu Wan, Alex Michie, Simon J. Doran, Angeline Aurelia Waly, Felix A. Nathaniel Liang, Humam Arshad Mustagfirin, Michelle Grace Felicia, Kuo Po Chih, Rahul Krish, Ghulam Rasool, Nidhal Bouaynaya, Nikolas Koutsoubis, Kyle Naddeo, Kartik Pandit, Tony O'Sullivan, Raj Krish, Qinyan Pan, Scott Gustafson, Benjamin Kopchick, Laura Opsahl-Ong, Andrea Olvera-Morales, Jonathan Pinney, Kathryn Johnson, Theresa Do, Juergen Klenk, Maria Diaz, Arti Singh, Rong Chai, David A. Clunie, Fred W. Prior, Keyvan Farahani

CoRR, July, 2025

Divide and Conquer: A Large-Scale Dataset and Model for Left-Right Breast MRI Segmentation.

Maximilian Rokuss, Benjamin Hamm, Yannick Kirchhoff, Klaus H. Maier-Hein

CoRR, July, 2025

Automated Ensemble Multimodal Machine Learning for Healthcare.

Fergus Imrie, Stefan Denner, Lucas S. Brunschwig, Klaus H. Maier-Hein, Mihaela van der Schaar

IEEE J. Biomed. Health Informatics, June, 2025

Inclusive, Differentially Private Federated Learning for Clinical Data.

Santhosh Parampottupadam, Melih Cosgun, Sarthak Pati, Maximilian Zenk, Saikat Roy, Dimitrios Bounias, Benjamin Hamm, Sinem Sav, Ralf Floca, Klaus H. Maier-Hein

CoRR, May, 2025

Advances in Automated Fetal Brain MRI Segmentation and Biometry: Insights from the FeTA 2024 Challenge.

Vladyslav Zalevskyi, Thomas Sanchez, Misha P. T. Kaandorp, Margaux Roulet, Diego Fajardo Rojas, Liu Li, Jana Hutter, Hongwei Bran Li, Matthew J. Barkovich, Hui Ji, Luca Wilhelmi, Aline Dändliker, Céline Steger, Mériam Koob, Yvan Gomez, Anton Jakovcic, Melita Klaic, Ana Adzic, Pavel Markovic, Gracia Grabaric, Milan Rados, Jordina Aviles Verdera, Gregor Kasprian, Gregor Dovjak, Raphael Gaubert-Rachmühl, Maurice Aschwanden, Qi Zeng, Davood Karimi, Denis Peruzzo, Tommaso Ciceri, Giorgio Longari, Rachika E. Hamadache, Amina Bouzid, Xavier Lladó, Simone Chiarella, Gerard Martí-Juan, Miguel Ángel González Ballester, Marco Castellaro, Marco Pinamonti, Valentina Visani, Robin Cremese, Keïn Sam, Fleur Gaudfernau, Param Ahir, Mehul Parikh, Maximilian Zenk, Michael Baumgartner, Klaus H. Maier-Hein, Li Tianhong, Yang Hong, Zhao Longfei, Domen Preloznik, Ziga Spiclin, Jae Won Choi, Muyang Li, Jia Fu, Guotai Wang, Jingwen Jiang, Lyuyang Tong, Bo Du, Andrea Gondova, Sungmin You, Kiho Im, Abdul Qayyum, Moona Mazher, Steven A. Niederer, András Jakab, Roxane Licandro, Kelly Payette, Meritxell Bach Cuadra

CoRR, May, 2025

Segmenting the Inferior Alveolar Canal in CBCTs Volumes: The ToothFairy Challenge.

Federico Bolelli, Luca Lumetti, Shankeeth Vinayahalingam, Mattia Di Bartolomeo, Arrigo Pellacani, Kevin Marchesini, Niels van Nistelrooij, Pieter van Lierop, Tong Xi, Yusheng Liu, Rui Xin, Tao Yang, Lisheng Wang, Haoshen Wang, Chenfan Xu, Zhiming Cui, Marek Wodzinski, Henning Müller, Yannick Kirchhoff, Maximilian Rokuss, Klaus H. Maier-Hein, Jae-Hwan Han, Wan Kim, Hong-Gi Ahn, Tomasz Szczepanski, Michal K. Grzeszczyk, Przemyslaw Korzeniowski, Vicent Caselles Costa, Xavier Paolo Burgos-Artizzu, Ferran Prados Carrasco, Stefaan Berge', Bram van Ginneken, Alexandre Anesi, Costantino Grana

IEEE Trans. Medical Imaging, April, 2025

nnLandmark: A Self-Configuring Method for 3D Medical Landmark Detection.

Alexandra Ertl, Shuhan Xiao, Stefan Denner, Robin Peretzke, David Zimmerer, Peter Neher, Fabian Isensee, Klaus H. Maier-Hein

CoRR, April, 2025

Large Scale Supervised Pretraining For Traumatic Brain Injury Segmentation.

Constantin Ulrich, Tassilo Wald, Fabian Isensee, Klaus H. Maier-Hein

CoRR, April, 2025

Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-ray: Summary of the PENGWIN 2024 Challenge.

Yudi Sang, Yanzhen Liu, Sutuke Yibulayimu, Yunning Wang, Benjamin D. Killeen, Mingxu Liu, Ping-Cheng Ku, Ole Johannsen, Karol Gotkowski, Maximilian Zenk, Klaus H. Maier-Hein, Fabian Isensee, Peiyan Yue, Yi Wang, Haidong Yu, Zhaohong Pan, Yutong He, Xiaokun Liang, Daiqi Liu, Fuxin Fan, Artur Jurgas, Andrzej Skalski, Yuxi Ma, Jing Yang, Szymon Plotka, Rafal Litka, Gang Zhu, Yingchun Song, Mathias Unberath, Mehran Armand, Dan Ruan, S. Kevin Zhou, Qiyong Cao, Chunpeng Zhao, Xinbao Wu, Yu Wang

CoRR, April, 2025

nnInteractive: Redefining 3D Promptable Segmentation.

Fabian Isensee, Maximilian Rokuss, Lars Krämer, Stefan Dinkelacker, Ashis Ravindran, Florian Stritzke, Benjamin Hamm, Tassilo Wald, Moritz Langenberg, Constantin Ulrich, Jonathan Deissler, Ralf Floca, Klaus H. Maier-Hein

CoRR, March, 2025

Primus: Enforcing Attention Usage for 3D Medical Image Segmentation.

Tassilo Wald, Saikat Roy, Fabian Isensee, Constantin Ulrich, Sebastian Ziegler, Dasha Trofimova, Raphael Stock, Michael Baumgartner, Gregor Köhler, Klaus H. Maier-Hein

CoRR, March, 2025

Bridging vision language model (VLM) evaluation gaps with a framework for scalable and cost-effective benchmark generation.

Tim Rädsch, Leon D. Mayer, Simon Pavicic, A. Emre Kavur, Marcel Knopp, Baris Öztürk, Klaus H. Maier-Hein, Paul F. Jaeger, Fabian Isensee, Annika Reinke, Lena Maier-Hein

CoRR, February, 2025

Multi-Class Segmentation of Aortic Branches and Zones in Computed Tomography Angiography: The AortaSeg24 Challenge.

Muhammad Imran, Jonathan R. Krebs, Vishal Balaji Sivaraman, Teng Zhang, Amarjeet Kumar, Walker R. Ueland, Michael J. Fassler, Jinlong Huang, Xiao Sun, Lisheng Wang, Pengcheng Shi, Maximilian Rokuss, Michael Baumgartner, Yannick Kirchhoff, Klaus H. Maier-Hein, Fabian Isensee, Shuolin Liu, Bing Han, Bong Thanh Nguyen, Dong-jin Shin, Park Ji-Woo, Mathew Choi, Kwang-Hyun Uhm, Sung-Jea Ko, Chanwoong Lee, Jaehee Chun, Jin Sung Kim, Minghui Zhang, Hanxiao Zhang, Xin You, Yun Gu, Zhaohong Pan, Xuan Liu, Xiaokun Liang, Markus Tiefenthaler, Enrique Almar-Munoz, Matthias Schwab, Mikhail Kotyushev, Rostislav Epifanov, Marek Wodzinski, Henning Müller, Abdul Qayyum, Moona Mazher, Steven A. Niederer, Zhiwei Wang, Kaixiang Yang, Jintao Ren, Stine Sofia Korreman, Yuchong Gao, Hongye Zeng, Haoyu Zheng, Rui Zheng, Jinghua Yue, Fugen Zhou, Bo Liu, Alexander Cosman, Muxuan Liang, Chang Zhao, Gilbert R. Upchurch Jr., Jun Ma, Yuyin Zhou, Michol A. Cooper, Wei Shao

CoRR, February, 2025

Tumor Detection, Segmentation and Classification Challenge on Automated 3D Breast Ultrasound: The TDSC-ABUS Challenge.

Gongning Luo, Mingwang Xu, Hongyu Chen, Xinjie Liang, Xing Tao, Dong Ni, Hyunsu Jeong, Chulhong Kim, Raphael Stock, Michael Baumgartner, Yannick Kirchhoff, Maximilian Rokuss, Klaus H. Maier-Hein, Zhikai Yang, Tianyu Fan, Nicolas Boutry, Dmitry Tereshchenko, Arthur Moine, Maximilien Charmetant, Jan Sauer, Hao Du, Xiang-Hui Bai, Vipul Pai Raikar, Ricardo Montoya-del-Angel, Robert Marti, Miguel Luna, Dongmin Lee, Abdul Qayyum, Moona Mazher, Qihui Guo, Changyan Wang, Navchetan Awasthi, Qiaochu Zhao, Wei Wang, Kuanquan Wang, Qiucheng Wang, Suyu Dong

CoRR, January, 2025

ScaleMAI: Accelerating the Development of Trusted Datasets and AI Models.

Wenxuan Li, Pedro R. A. S. Bassi, Tianyu Lin, Yu-Cheng Chou, Xinze Zhou, Yucheng Tang, Fabian Isensee, Kang Wang, Qi Chen, Xiaowei Xu, Xiaoxi Chen, Lizhou Wu, Qilong Wu, Yannick Kirchhoff, Maximilian Rokuss, Saikat Roy, Yuxuan Zhao, Dexin Yu, Kai Ding, Constantin Ulrich, Klaus H. Maier-Hein, Yang Yang, Alan L. Yuille, Zongwei Zhou

CoRR, January, 2025

nnActive: A Framework for Evaluation of Active Learning in 3D Biomedical Segmentation.

Carsten T. Lüth, Jeremias Traub, Kim-Celine Kahl, Till J. Bungert, Lukas Klein, Lars Krämer, Paul F. Jaeger, Fabian Isensee, Klaus H. Maier-Hein

Trans. Mach. Learn. Res., 2025

SURE-VQA: Systematic Understanding of Robustness Evaluation in Medical VQA Tasks.

Kim-Celine Kahl, Selen Erkan, Jeremias Traub, Carsten T. Lüth, Klaus H. Maier-Hein, Lena Maier-Hein, Paul F. Jaeger

Trans. Mach. Learn. Res., 2025

Comparative benchmarking of failure detection methods in medical image segmentation: Unveiling the role of confidence aggregation.

Maximilian Zenk, David Zimmerer, Fabian Isensee, Jeremias Traub, Tobias Norajitra, Paul F. Jäger, Klaus H. Maier-Hein

Medical Image Anal., 2025

SegRap2023: A benchmark of organs-at-risk and gross tumor volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma.

Xiangde Luo, Jia Fu, Yunxin Zhong, Shuolin Liu, Bing Han, Mehdi Astaraki, Simone Bendazzoli, Iuliana Toma-Dasu, Yiwen Ye, Ziyang Chen, Yong Xia, Yanzhou Su, Jin Ye, Junjun He, Zhaohu Xing, Hongqiu Wang, Lei Zhu, Kaixiang Yang, Xin Fang, Zhiwei Wang, Chan Woong Lee, Sang Joon Park, Jaehee Chun, Constantin Ulrich, Klaus H. Maier-Hein, Nchongmaje Ndipenoch, Alina Dana Miron, Yongmin Li, Yimeng Zhang, Yu Chen, Lu Bai, Jinlong Huang, Chengyang An, Lisheng Wang, Kaiwen Huang, Yunqi Gu, Tao Zhou, Mu Zhou, Shichuan Zhang, Wenjun Liao, Guotai Wang, Shaoting Zhang

Medical Image Anal., 2025

Corrigendum to "PSFHS challenge report: pubic symphysis and fetal head segmentation from intrapartum ultrasound images" [Medical Image Analysis 99 (2025),103353].

Jieyun Bai, Zihao Zhou, Zhanhong Ou, Gregor Köhler, Raphael Stock, Klaus H. Maier-Hein, Marawan Elbatel, Robert Martí, Xiaomeng Li, Yaoyang Qiu, Panjie Gou, Gongping Chen, Lei Zhao, Jianxun Zhang, Yu Dai, Fangyijie Wang, Guénolé Silvestre, Kathleen M. Curran, Hongkun Sun, Jing Xu, Pengzhou Cai, Lu Jiang, Libin Lan, Dong Ni, Mei Zhong, Gaowen Chen, Víctor M. Campello, Yaosheng Lu, Karim Lekadir

Medical Image Anal., 2025

PSFHS challenge report: Pubic symphysis and fetal head segmentation from intrapartum ultrasound images.

Jieyun Bai, Zihao Zhou, Zhanhong Ou, Gregor Köhler, Raphael Stock, Klaus H. Maier-Hein, Marawan Elbatel, Robert Martí, Xiaomeng Li, Yaoyang Qiu, Panjie Gou, Gongping Chen, Lei Zhao, Jianxun Zhang, Yu Dai, Fangyijie Wang, Guénolé C. M. Silvestre, Kathleen M. Curran, Hongkun Sun, Jing Xu, Pengzhou Cai, Lu Jiang, Libin Lan, Dong Ni, Mei Zhong, Gaowen Chen, Víctor M. Campello, Yaosheng Lu, Karim Lekadir

Medical Image Anal., 2025

Real-world federated learning in radiology: hurdles to overcome and benefits to gain.

Markus R. Bujotzek, Ünal Akünal, Stefan Denner, Peter Neher, Maximilian Zenk, Eric Frodl, Astha Jaiswal, Moon S. Kim, Nicolai R. Krekiehn, Manuel Nickel, Richard Ruppel, Marcus Both, Felix Döllinger, Marcel Opitz, Thorsten Persigehl, Jens Kleesiek, Tobias Penzkofer, Klaus H. Maier-Hein, Andreas Bucher, Rickmer Braren

J. Am. Medical Informatics Assoc., 2025

Leveraging foundation models for content-based image retrieval in radiology.

Stefan Denner, David Zimmerer, Dimitrios Bounias, Markus Bujotzek, Shuhan Xiao, Raphael Stock, Lisa Kausch, Philipp Schader, Tobias Penzkofer, Paul F. Jäger, Klaus H. Maier-Hein

Comput. Biol. Medicine, 2025

Enhancing Predictive Imaging Biomarker Discovery Through Treatment Effect Analysis.

Shuhan Xiao, Lukas Klein, Jens Petersen, Philipp Vollmuth, Paul F. Jaeger, Klaus H. Maier-Hein

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

ReSi: A Comprehensive Benchmark for Representational Similarity Measures.

Max Klabunde, Tassilo Wald, Tobias Schumacher, Klaus H. Maier-Hein, Markus Strohmaier, Florian Lemmerich

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Revisiting MAE Pre-training for 3D Medical Image Segmentation.

Tassilo Wald, Constantin Ulrich, Stanislav Lukyanenko, Andrei Goncharov, Alberto Paderno, Maximilian Miller, Leander Maerkisch, Paul F. Jaeger, Klaus H. Maier-Hein

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

LesionLocator: Zero-Shot Universal Tumor Segmentation and Tracking in 3D Whole-Body Imaging.

Maximilian Rokuss, Yannick Kirchhoff, Seval Akbal, Balint Kovacs, Saikat Roy, Constantin Ulrich, Tassilo Wald, Lukas T. Rotkopf, Heinz-Peter Schlemmer, Klaus H. Maier-Hein

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Abstract: Longitudinal Segmentation of MS Lesions via Temporal Difference Weighting.

Maximilian Rokuss, Yannick Kirchhoff, Saikat Roy, Balint Kovacs, Constantin Ulrich, Tassilo Wald, Maximilian Zenk, Stefan Denner, Fabian Isensee, Philipp Vollmuth, Jens Kleesiek, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2025, 2025

Abstract: Client Security Alone Fails in Federated Learning - 2D and 3D Attack Insights.

Santhosh Parampottupadam, Ralf Floca, Dimitrios Bounias, Benjamin Hamm, Saikat Roy, Sinem Sav, Maximilian Zenk, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2025, 2025

Unified Framework for Foreground and Anonymization Area Segmentation in CT and MRI Data.

Michal Nohel, Constantin Ulrich, Jonathan Suprijadi, Tassilo Wald, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2025, 2025

Abstract: Skeleton Recall Loss - Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures.

Yannick Kirchhoff, Maximilian Rokuss, Saikat Roy, Balint Kovacs, Constantin Ulrich, Tassilo Wald, Maximilian Zenk, Philipp Vollmuth, Jens Kleesiek, Fabian Isensee, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2025, 2025

Abstract: nnU-Net Revisited - Call for Rigorous Validation in 3D Medical Image Segmentation.

Fabian Isensee, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Saikat Roy, Klaus H. Maier-Hein, Paul F. Jäger

Proceedings of the Bildverarbeitung für die Medizin 2025, 2025

Abstract: Learned Image Compression for HE-stained Histopathological Images via Stain Deconvolution.

Maximilian Fischer, Peter Neher, Tassilo Wald, Constantin Ulrich, Peter J. Schüffler, Shuhan Xiao, Silvia Dias Almeida, Alexander Muckenhuber, Rickmer Braren, Michael Götz, Jens Kleesiek, Marco Nolden, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2025, 2025

Precision ICU Resource Planning - A Multimodal Model for Brain Surgery Outcomes.

Maximilian Fischer, Florian M. Hauptmann, Robin Peretzke, Paul Naser, Peter Neher, Jan-Oliver Neumann, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2025, 2025

Abstract: Real-world Federated Learning in Radiology - Hurdles to Overcome and Benefits to Gain.

Markus Bujotzek, Ünal Akünal, Stefan Denner, Peter Neher, Maximilian Zenk, Klaus H. Maier-Hein, Andreas Bucher, Rickmer Braren

Proceedings of the Bildverarbeitung für die Medizin 2025, 2025

2024

Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challenge.

Kendall Schmidt, Benjamin Bearce, Ken Chang, Laura Coombs, Keyvan Farahani, Marawan Elbatel, Kaouther Mouheb, Robert Marti, Ruipeng Zhang, Ya Zhang, Yanfeng Wang, Yaojun Hu, Haochao Ying, Yuyang Xu, Conrad Testagrose, Mutlu Demirer, Vikash Gupta, Ünal Akünal, Markus Bujotzek, Klaus H. Maier-Hein, Yi Qin, Xiaomeng Li, Jayashree Kalpathy-Cramer, Holger R. Roth

Medical Image Anal., 2024

An OpenMind for 3D medical vision self-supervised learning.

Tassilo Wald, Constantin Ulrich, Jonathan Suprijadi, Michal Nohel, Robin Peretzke, Klaus H. Maier-Hein

CoRR, 2024

Unlocking the Potential of Digital Pathology: Novel Baselines for Compression.

Maximilian Fischer, Peter Neher, Peter J. Schüffler, Sebastian Ziegler, Shuhan Xiao, Robin Peretzke, David A. Clunie, Constantin Ulrich, Michael Baumgartner, Alexander Muckenhuber, Silvia Dias Almeida, Michael Götz, Jens Kleesiek, Marco Nolden, Rickmer Braren, Klaus H. Maier-Hein

CoRR, 2024

RadioActive: 3D Radiological Interactive Segmentation Benchmark.

Constantin Ulrich, Tassilo Wald, Emily Tempus, Maximilian Rokuss, Paul F. Jaeger, Klaus H. Maier-Hein

CoRR, 2024

Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?

Pedro R. A. S. Bassi, Wenxuan Li, Yucheng Tang, Fabian Isensee, Zifu Wang, Jieneng Chen, Yu-Cheng Chou, Yannick Kirchhoff, Maximilian Rokuss, Ziyan Huang, Jin Ye, Junjun He, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Saikat Roy, Klaus H. Maier-Hein, Paul F. Jaeger, Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Yong Xia, Zhaohu Xing, Lei Zhu, Yousef Sadegheih, Afshin Bozorgpour, Pratibha Kumari, Reza Azad, Dorit Merhof, Pengcheng Shi, Ting Ma, Yuxin Du, Fan Bai, Tiejun Huang, Bo Zhao, Haonan Wang, Xiaomeng Li, Hanxue Gu, Haoyu Dong, Jichen Yang, Maciej A. Mazurowski, Saumya Gupta, Linshan Wu, Jiaxin Zhuang, Hao Chen, Holger Roth, Daguang Xu, Matthew B. Blaschko, Sergio Decherchi, Andrea Cavalli, Alan L. Yuille, Zongwei Zhou

CoRR, 2024

Revisiting MAE pre-training for 3D medical image segmentation.

Tassilo Wald, Constantin Ulrich, Stanislav Lukyanenko, Andrei Goncharov, Alberto Paderno, Leander Maerkisch, Paul F. Jäger, Klaus H. Maier-Hein

CoRR, 2024

Data-Centric Strategies for Overcoming PET/CT Heterogeneity: Insights from the AutoPET III Lesion Segmentation Challenge.

Balint Kovacs, Shuhan Xiao, Maximilian Rokuss, Constantin Ulrich, Fabian Isensee, Klaus H. Maier-Hein

CoRR, 2024

From FDG to PSMA: A Hitchhiker's Guide to Multitracer, Multicenter Lesion Segmentation in PET/CT Imaging.

Maximilian Rokuss, Balint Kovacs, Yannick Kirchhoff, Shuhan Xiao, Constantin Ulrich, Klaus H. Maier-Hein, Fabian Isensee

CoRR, 2024

Visual Prompt Engineering for Medical Vision Language Models in Radiology.

Stefan Denner, Markus Bujotzek, Dimitrios Bounias, David Zimmerer, Raphael Stock, Paul F. Jäger, Klaus H. Maier-Hein

CoRR, 2024

LNQ 2023 challenge: Benchmark of weakly-supervised techniques for mediastinal lymph node quantification.

Reuben Dorent, Roya Khajavi, Tagwa Idris, Erik Ziegler, Bhanusupriya Somarouthu, Heather Jacene, Ann S. LaCasce, Jonathan Deissler, Jan Ehrhardt, Sofija Engelson, Stefan M. Fischer, Yun Gu, Heinz Handels, Satoshi Kasai, Satoshi Kondo, Klaus H. Maier-Hein, Julia A. Schnabel, Guotai Wang, Litingyu Wang, Tassilo Wald, Guang-Zhong Yang, Hanxiao Zhang, Minghui Zhang, Steven D. Pieper, Gordon J. Harris, Ron Kikinis, Tina Kapur

CoRR, 2024

Fair Evaluation of Federated Learning Algorithms for Automated Breast Density Classification: The Results of the 2022 ACR-NCI-NVIDIA Federated Learning Challenge.

Kendall Schmidt, Ben Bearce, Ken Chang, Laura Coombs, Keyvan Farahani, Marawan Elbatel, Kaouther Mouheb, Robert Marti, Ruipeng Zhang, Yao Zhang, Yanfeng Wang, Yaojun Hu, Haochao Ying, Yuyang Xu, Conrad Testagrose, Mutlu Demirer, Vikash Gupta, Ünal Akünal, Markus Bujotzek, Klaus H. Maier-Hein, Yi Qin, Xiaomeng Li, Jayashree Kalpathy-Cramer, Holger R. Roth

CoRR, 2024

Automatic classification of prostate MR series type using image content and metadata.

Deepa Krishnaswamy, Balint Kovacs, Stefan Denner, Steven D. Pieper, David A. Clunie, Christopher P. Bridge, Tina Kapur, Klaus H. Maier-Hein, Andrey Fedorov

CoRR, 2024

Embarrassingly Simple Scribble Supervision for 3D Medical Segmentation.

Karol Gotkowski, Carsten T. Lüth, Paul F. Jäger, Sebastian Ziegler, Lars Krämer, Stefan Denner, Shuhan Xiao, Nico Disch, Klaus H. Maier-Hein, Fabian Isensee

CoRR, 2024

Pre-examinations Improve Automated Metastases Detection on Cranial MRI.

Katerina Deike-Hofmann, Dorottya Dancs, Daniel Paech, Heinz-Peter Schlemmer, Klaus H. Maier-Hein, Philipp Bäumer, Alexander Radbruch, Michael Götz

CoRR, 2024

Leveraging Foundation Models for Content-Based Medical Image Retrieval in Radiology.

Stefan Denner, David Zimmerer, Dimitrios Bounias, Markus Bujotzek, Shuhan Xiao, Lisa Kausch, Philipp Schader, Tobias Penzkofer, Paul F. Jäger, Klaus H. Maier-Hein

CoRR, 2024

RecycleNet: Latent Feature Recycling Leads to Iterative Decision Refinement.

Gregor Köhler, Tassilo Wald, Constantin Ulrich, David Zimmerer, Paul F. Jaeger, Jörg K. H. Franke, Simon Kohl, Fabian Isensee, Klaus H. Maier-Hein

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Decoupling Semantic Similarity from Spatial Alignment for Neural Networks.

Tassilo Wald, Constantin Ulrich, Priyank Jaini, Gregor Köhler, David Zimmerer, Stefan Denner, Fabian Isensee, Michael Baumgartner, Klaus H. Maier-Hein

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Overcoming Common Flaws in the Evaluation of Selective Classification Systems.

Jeremias Traub, Till J. Bungert, Carsten T. Lüth, Michael Baumgartner, Klaus H. Maier-Hein, Lena Maier-Hein, Paul F. Jaeger

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?

Pedro R. A. S. Bassi, Wenxuan Li, Yucheng Tang, Fabian Isensee, Zifu Wang, Jieneng Chen, Yu-Cheng Chou, Yannick Kirchhoff, Maximilian Rokuss, Ziyan Huang, Jin Ye, Junjun He, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Saikat Roy, Klaus H. Maier-Hein, Paul F. Jaeger, Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Yong Xia, Zhaohu Xing, Lei Zhu, Yousef Sadegheih, Afshin Bozorgpour, Pratibha Kumari, Reza Azad, Dorit Merhof, Pengcheng Shi, Ting Ma, Yuxin Du, Fan Bai, Tiejun Huang, Bo Zhao, Haonan Wang, Xiaomeng Li, Hanxue Gu, Haoyu Dong, Jichen Yang, Maciej A. Mazurowski, Saumya Gupta, Linshan Wu, Jia-Xin Zhuang, Hao Chen, Holger Roth, Daguang Xu, Matthew B. Blaschko, Sergio Decherchi, Andrea Cavalli, Alan L. Yuille, Zongwei Zhou

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Mitigating False Predictions in Unreasonable Body Regions.

Constantin Ulrich, Catherine Knobloch, Julius Holzschuh, Tassilo Wald, Maximilian Rokuss, Maximilian Zenk, Maximilian Fischer, Michael Baumgartner, Fabian Isensee, Klaus H. Maier-Hein

Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

Beyond Heatmaps: A Comparative Analysis of Metrics for Anomaly Localization in Medical Images.

David Zimmerer, Klaus H. Maier-Hein

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2024

Longitudinal Segmentation of MS Lesions via Temporal Difference Weighting.

Maximilian Rokuss, Yannick Kirchhoff, Saikat Roy, Balint Kovacs, Constantin Ulrich, Tassilo Wald, Maximilian Zenk, Stefan Denner, Fabian Isensee, Philipp Vollmuth, Jens Kleesiek, Klaus H. Maier-Hein

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 Workshops, 2024

Optimizing nnU-Net with OpenVINO for Fast CPU Inference in Abdominal Organ Segmentation.

Yannick Kirchhoff, Ashis Ravindran, Maximilian Rokuss, Benjamin Hamm, Constantin Ulrich, Klaus H. Maier-Hein, Fabian Isensee

Proceedings of the Fast, Low-Resource, Accurate Robust Organ and Pan-cancer Segmentation, 2024

Efficient Cross-Modality Abdominal Organ Segmentation Using nnU-Net and MIND Descriptors.

Yannick Kirchhoff, Maximilian Rokuss, Benjamin Hamm, Ashis Ravindran, Constantin Ulrich, Klaus H. Maier-Hein, Fabian Isensee

Proceedings of the Fast, Low-Resource, Accurate Robust Organ and Pan-cancer Segmentation, 2024

Efficient Pan-Cancer Lesion Segmentation from Partially Labeled Data with nnU-Net.

Yannick Kirchhoff, Maximilian Rokuss, Benjamin Hamm, Ashis Ravindran, Constantin Ulrich, Klaus H. Maier-Hein, Fabian Isensee

Proceedings of the Fast, Low-Resource, Accurate Robust Organ and Pan-cancer Segmentation, 2024

Enhanced nnU-Net Architectures for Automated MRI Segmentation of Head and Neck Tumors in Adaptive Radiation Therapy.

Jessica Kächele, Maximilian Zenk, Maximilian Rokuss, Constantin Ulrich, Tassilo Wald, Klaus H. Maier-Hein

Proceedings of the Head and Neck Tumor Segmentation for MR-Guided Applications, 2024

Evaluating Pretraining Strategies for OCT-Based Macular Degeneration Classification.

Jessica Kächele, Robin Peretzke, Alexandra Ertl, Maximilian Fischer, Marlin Hanstein, Florian M. Hauptmann, Dimitrios Bounias, Marco Nolden, Peter Neher, Klaus H. Maier-Hein

Proceedings of the Image-Based Prediction of Retinal Disease Progression, 2024

nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation.

Fabian Isensee, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Saikat Roy, Klaus H. Maier-Hein, Paul F. Jäger

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Scaling nnU-Net for CBCT Segmentation.

Fabian Isensee, Yannick Kirchhoff, Lars Krämer, Maximilian Rokuss, Constantin Ulrich, Klaus H. Maier-Hein

Proceedings of the Supervised and Semi-supervised Multi-structure Segmentation and Landmark Detection in Dental Data, 2024

Learned Image Compression for HE-Stained Histopathological Images via Stain Deconvolution.

Maximilian Fischer, Peter Neher, Tassilo Wald, Silvia Dias Almeida, Shuhan Xiao, Peter J. Schüffler, Rickmer Braren, Michael Götz, Alexander Muckenhuber, Jens Kleesiek, Marco Nolden, Klaus H. Maier-Hein

Proceedings of the Medical Optical Imaging and Virtual Microscopy Image Analysis, 2024

Back to the Future: Challenges of Sparse and Irregular Medical Image Time Series.

Nico Disch, Robin Peretzke, Saikat Roy, Constantin Ulrich, David Zimmerer, Rainer Stiefelhagen, Jens Kleesiek, Klaus H. Maier-Hein

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 Workshops, 2024

ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation.

Kim-Celine Kahl, Carsten T. Lüth, Maximilian Zenk, Klaus H. Maier-Hein, Paul F. Jaeger

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures.

Yannick Kirchhoff, Maximilian Rokuss, Saikat Roy, Balint Kovacs, Constantin Ulrich, Tassilo Wald, Maximilian Zenk, Philipp Vollmuth, Jens Kleesiek, Fabian Isensee, Klaus H. Maier-Hein

Proceedings of the Computer Vision - ECCV 2024, 2024

Segment Anything in Medical Images with nnUNet.

Raphael Stock, Yannick Kirchhoff, Maximilian Rokuss, Ashis Ravindran, Klaus H. Maier-Hein

Proceedings of the Medical Image Segmentation Foundation Models. CVPR 2024 Challenge: Segment Anything in Medical Images on Laptop, 2024

Abstract: Multi-dataset Approach to Medical Image Segmentation - MultiTalent.

Constantin Ulrich, Fabian Isensee, Tassilo Wald, Maximilian Zenk, Michael Baumgartner, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Abstract: 3D Medical Image Segmentation with Transformer-based Scaling of ConvNets - MedNeXt.

Saikat Roy, Gregor Köhler, Michael Baumgartner, Constantin Ulrich, Fabian Isensee, Paul F. Jaeger, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Abstract: Semi-automatic White Matter Tract Segmentation using Active Learning atTRACTive.

Robin Peretzke, Klaus H. Maier-Hein, Jonas Bohn, Yannick Kirchhoff, Saikat Roy, Sabrina Oberli-Palma, Daniela Becker, Pavlina Lenga, Peter Neher

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Harmonized Import of Clinical Research Data for the Open Source Image Analysis Platform Kaapana.

Lucas Kulla, Philipp Schader, Klaus H. Maier-Hein, Marco Nolden

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Abstract: Anatomy-informed Data Augmentation for Enhanced Prostate Cancer Detection.

Balint Kovacs, Nils Netzer, Michael Baumgartner, Carolin Eith, Dimitrios Bounias, Clara Meinzer, Paul F. Jäger, Kevin S. Zhang, Ralf Floca, Adrian Schrader, Fabian Isensee, Regula Gnirs, Magdalena Görtz, Viktoria Schütz, Albrecht Stenzinger, Markus Hohenfellner, Heinz-Peter Schlemmer, Ivo Wolf, David Bonekamp, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Abstract: RecycleNet - Latent Feature Recycling Leads to Iterative Decision Refinement.

Gregor Köhler, Tassilo Wald, Constantin Ulrich, David Zimmerer, Paul F. Jaeger, Jörg K. H. Franke, Simon Kohl, Fabian Isensee, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Abstract: Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning.

Maximilian Fischer, Peter Neher, Peter J. Schüffler, Shuhan Xiao, Silvia Dias Almeida, Constantin Ulrich, Alexander Muckenhuber, Rickmer Braren, Michael Götz, Jens Kleesiek, Marco Nolden, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Abstract: Deep Learning-based Detection of Vessel Occlusions on CT-Angiography in Patients with Suspected Acute Ischemic Stroke.

Gianluca Brugnara, Michael Baumgartner, Edwin D. Scholze, Katerina Deike-Hofmann, Klaus Kades, Jonas Scherer, Stefan Denner, Hagen Meredig, Aditya Rastogi, Mustafa A. Mahmutoglu, Christian Ulfert, Ulf Neuberger, Silvia Schönenberger, Kai Schlamp, Zeynep Bendella, Thomas Pinetz, Carsten Schmeel, Wolfgang Wick, Peter A. Ringleb, Ralf Floca, Markus Möhlenbruch, Alexander Radbruch, Martin Bendszus, Klaus H. Maier-Hein, Philipp Vollmuth

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Abstract: Object Detection for Breast Diffusion-weighted Imaging.

Dimitrios Bounias, Michael Baumgartner, Peter Neher, Balint Kovacs, Ralf Floca, Paul F. Jaeger, Lorenz A. Kapsner, Jessica Eberle, Dominique Hadler, Frederik B. Laun, Sabine Ohlmeyer, Klaus H. Maier-Hein, Sebastian Bickelhaupt

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Abstract: Radiomics Processing Toolkit - Role of Feature Computation on Prediction Performance.

Jonas R. Bohn, Christian M. Heidt, Silvia Dias Almeida, Lisa Kausch, Michael Götz, Marco Nolden, Petros Christopoulos, Stephan Rheinheimer, Alan A. Peters, Oyunbileg von Stackelberg, Hans-Ulrich Kauczor, Klaus H. Maier-Hein, Claus Peter Heußel, Tobias Norajitra

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Abstract: Reformulating COPD Classification on Chest CT Scans as Anomaly Detection using Contrastive Representations - cOOpD.

Silvia Dias Almeida, Carsten T. Lüth, Tobias Norajitra, Tassilo Wald, Marco Nolden, Paul F. Jäger, Claus Peter Heussel, Jürgen Biederer, Oliver Weinheimer, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

2023

The Liver Tumor Segmentation Benchmark (LiTS).

Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis, Adi Szeskin, Colin Jacobs, Gabriel Efrain Humpire Mamani, Gabriel Chartrand, Fabian Lohöfer, Julian Walter Holch, Wieland H. Sommer, Felix Hofmann, Alexandre Hostettler, Naama Lev-Cohain, Michal Drozdzal, Michal Marianne Amitai, Refael Vivanti, Jacob Sosna, Ivan Ezhov, Anjany Sekuboyina, Fernando Navarro, Florian Kofler, Johannes C. Paetzold, Suprosanna Shit, Xiaobin Hu, Jana Lipková, Markus Rempfler, Marie Piraud, Jan Kirschke, Benedikt Wiestler, Zhiheng Zhang, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Michela Antonelli, Woong Bae, Miriam Bellver, Lei Bi, Hao Chen, Grzegorz Chlebus, Erik B. Dam, Qi Dou, Chi-Wing Fu, Bogdan Georgescu, Xavier Giró-i-Nieto, Felix Grün, Xu Han, Pheng-Ann Heng, Jürgen Hesser, Jan Hendrik Moltz, Christian Igel, Fabian Isensee, Paul Jäger, Fucang Jia, Krishna Chaitanya Kaluva, Mahendra Khened, Ildoo Kim, Jae-Hun Kim, Sungwoong Kim, Simon Kohl, Tomasz K. Konopczynski, Avinash Kori, Ganapathy Krishnamurthi, Fan Li, Hongchao Li, Junbo Li, Xiaomeng Li, John S. Lowengrub, Jun Ma, Klaus H. Maier-Hein, Kevis-Kokitsi Maninis, Hans Meine, Dorit Merhof, Akshay Pai, Mathias Perslev, Jens Petersen, Jordi Pont-Tuset, Jin Qi, Xiaojuan Qi, Oliver Rippel, Karsten Roth, Ignacio Sarasua, Andrea Schenk, Zengming Shen, Jordi Torres, Christian Wachinger, Chunliang Wang, Leon Weninger, Jianrong Wu, Daguang Xu, Xiaoping Yang, Simon Chun-Ho Yu, Yading Yuan, Miao Yue, Liping Zhang, Manuel Jorge Cardoso, Spyridon Bakas, Rickmer Braren, Volker Heinemann, Christopher Pal, An Tang, Samuel Kadoury, Luc Soler, Bram van Ginneken, Hayit Greenspan, Leo Joskowicz, Bjoern H. Menze

Medical Image Anal., 2023

Look Ma, no code: fine tuning nnU-Net for the AutoPET II challenge by only adjusting its JSON plans.

Fabian Isensee, Klaus H. Maier-Hein

CoRR, 2023

Exploring new ways: Enforcing representational dissimilarity to learn new features and reduce error consistency.

Tassilo Wald, Constantin Ulrich, Fabian Isensee, David Zimmerer, Gregor Köhler, Michael Baumgartner, Klaus H. Maier-Hein

CoRR, 2023

SAM.MD: Zero-shot medical image segmentation capabilities of the Segment Anything Model.

Saikat Roy, Tassilo Wald, Gregor Köhler, Maximilian Rokuss, Nico Disch, Julius Holzschuh, David Zimmerer, Klaus H. Maier-Hein

CoRR, 2023

Transformer Utilization in Medical Image Segmentation Networks.

Saikat Roy, Gregor Köhler, Michael Baumgartner, Constantin Ulrich, Jens Petersen, Fabian Isensee, Klaus H. Maier-Hein

CoRR, 2023

Understanding metric-related pitfalls in image analysis validation.

Annika Reinke, Minu Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Carole H. Sudre, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Matthew B. Blaschko, Florian Büttner, M. Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Ben Glocker, Patrick Godau, Robert Haase, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Jens Kleesiek, Florian Kofler, Thijs Kooi, Annette Kopp-Schneider, Michal Kozubek, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, Karel G. M. Moons, Henning Müller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Susanne M. Rafelski, Nasir M. Rajpoot, Mauricio Reyes, Michael A. Riegler, Nicola Rieke, Julio Saez-Rodriguez, Clara I. Sánchez, Shravya Shetty, Maarten van Smeden, Ronald M. Summers, Abdel A. Taha, Aleksei Tiulpin, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Manuel Wiesenfarth, Ziv R. Yaniv, Paul F. Jäger, Lena Maier-Hein

CoRR, 2023

[Work in progress] Scalable, out-of-the box segmentation of individual particles from mineral samples acquired with micro CT.

Karol Gotkowski, Shuvam Gupta, Jose R. A. Godinho, Camila G. S. Tochtrop, Klaus H. Maier-Hein, Fabian Isensee

CoRR, 2023

CRADL: Contrastive Representations for Unsupervised Anomaly Detection and Localization.

Carsten T. Lüth, David Zimmerer, Gregor Köhler, Paul F. Jaeger, Fabian Isensee, Jens Petersen, Klaus H. Maier-Hein

CoRR, 2023

Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning.

Maximilian Fischer, Peter Neher, Peter J. Schüffler, Shuhan Xiao, Silvia Dias Almeida, Constantin Ulrich, Alexander Muckenhuber, Rickmer Braren, Michael Götz, Jens Kleesiek, Marco Nolden, Klaus H. Maier-Hein

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

MultiTalent: A Multi-dataset Approach to Medical Image Segmentation.

Constantin Ulrich, Fabian Isensee, Tassilo Wald, Maximilian Zenk, Michael Baumgartner, Klaus H. Maier-Hein

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

MedNeXt: Transformer-Driven Scaling of ConvNets for Medical Image Segmentation.

Saikat Roy, Gregor Köhler, Constantin Ulrich, Michael Baumgartner, Jens Petersen, Fabian Isensee, Paul F. Jäger, Klaus H. Maier-Hein

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

atTRACTive: Semi-automatic White Matter Tract Segmentation Using Active Learning.

Robin Peretzke, Klaus H. Maier-Hein, Jonas Bohn, Yannick Kirchhoff, Saikat Roy, Sabrina Oberli-Palma, Daniela Becker, Pavlina Lenga, Peter Neher

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Anatomy-Informed Data Augmentation for Enhanced Prostate Cancer Detection.

Balint Kovacs, Nils Netzer, Michael Baumgartner, Carolin Eith, Dimitrios Bounias, Clara Meinzer, Paul F. Jäger, Kevin S. Zhang, Ralf Floca, Adrian Schrader, Fabian Isensee, Regula Gnirs, Magdalena Goertz, Viktoria Schuetz, Albrecht Stenzinger, Markus Hohenfellner, Heinz-Peter Schlemmer, Ivo Wolf, David Bonekamp, Klaus H. Maier-Hein

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Shape-Based Pose Estimation for Automatic Standard Views of the Knee.

Lisa Kausch, Sarina Thomas, Holger Kunze, Jan Siad El Barbari, Klaus H. Maier-Hein

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Efficient Large Scale Medical Image Dataset Preparation for Machine Learning Applications.

Stefan Denner, Jonas Scherer, Klaus Kades, Dimitrios Bounias, Philipp Schader, Lisa Kausch, Markus Bujotzek, Andreas Michael Bucher, Tobias Penzkofer, Klaus H. Maier-Hein

Proceedings of the Data Engineering in Medical Imaging - First MICCAI Workshop, 2023

RPTK: The Role of Feature Computation on Prediction Performance.

Jonas R. Bohn, Christian M. Heidt, Silvia Dias Almeida, Lisa Kausch, Michael Götz, Marco Nolden, Petros Christopoulos, Stephan Rheinheimer, Alan A. Peters, Oyunbileg von Stackelberg, Hans-Ulrich Kauczor, Klaus H. Maier-Hein, Claus Peter Heussel, Tobias Norajitra

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

cOOpD: Reformulating COPD Classification on Chest CT Scans as Anomaly Detection Using Contrastive Representations.

Silvia Dias Almeida, Carsten T. Lüth, Tobias Norajitra, Tassilo Wald, Marco Nolden, Paul F. Jäger, Claus Peter Heussel, Jürgen Biederer, Oliver Weinheimer, Klaus H. Maier-Hein

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Why is the Winner the Best?

Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali, Vincent Andrearczyk, Marc Aubreville, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha M. Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, A. Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, Jonathan Rafael-Patino, Vivek Singh Bawa, Stefanie Speidel, Carole H. Sudre, Kimberlin M. H. van Wijnen, Martin Wagner, D. Wei, Amine Yamlahi, Moi Hoon Yap, C. Yuan, Maximilian Zenk, A. Zia, David Zimmerer, Dogu Baran Aydogan, Binod Bhattarai, Louise Bloch, Raphael Brüngel, J. Cho, C. Choi, Q. Dou, Ivan Ezhov, Christoph M. Friedrich, C. Fuller, Rebati Raman Gaire, Adrian Galdran, Álvaro García-Faura, Maria Grammatikopoulou, S. Hong, Mostafa Jahanifar, I. Jang, Abdolrahim Kadkhodamohammadi, I. Kang, Florian Kofler, S. Kondo, Hugo Jaco Kuijf, M. Li, M. Luu, Tomaz Martincic, Pedro Morais, Mohamed A. Naser, Bruno Oliveira, David Owen, S. Pang, J. Park, S. Park, Szymon Plotka, Élodie Puybareau, Nasir M. Rajpoot, K. Ryu, Numan Saeed, Adam Shephard, Pengcheng Shi, Dejan Stepec, Ronast Subedi, Guillaume Tochon, Helena R. Torres, Hélène Urien, João L. Vilaça, Kareem A. Wahid, H. Wang, J. Wang, L. Wang, X. Wang, Benedikt Wiestler, Marek Wodzinski, F. Xia, J. Xie, Z. Xiong, Sen Yang, Y. Yang, Zixuan Zhao, Klaus H. Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Abstract: MOOD 2020 - A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images.

David Zimmerer, Peter M. Full, Fabian Isensee, Paul Jäger, Tim Adler, Jens Petersen, Gregor Köhler, Tobias Roß, Annika Reinke, Antanas Kascenas, Bjørn Sand Jensen, Alison Q. O'Neil, Jeremy Tan, Benjamin Hou, James Batten, Huaqi Qiu, Bernhard Kainz, Nina Shvetsova, Irina Fedulova, Dmitry V. Dylov, Baolun Yu, Jianyang Zhai, Jingtao Hu, Runxuan Si, Sihang Zhou, Siqi Wang, Xinyang Li, Xuerun Chen, Yang Zhao, Sergio Naval Marimont, Giacomo Tarroni, Victor Saase, Lena Maier-Hein, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

Abstract: Automated Detection and Quantification of Brain Metastases on Clinical MRI Data using CNNs.

Irada Pflüger, Tassilo Wald, Fabian Isensee, Marianne Schell, Hagen Meredig, Kai Schlamp, Denise Bernhardt, Gianluca Brugnara, Claus Peter Heußel, Juergen Debus, Wolfgang Wick, Martin Bendszus, Klaus H. Maier-Hein, Philipp Vollmuth

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

Contrastive Representations for Unsupervised Anomaly Detection and Localization.

Carsten T. Lüth, David Zimmerer, Gregor Köhler, Paul F. Jaeger, Fabian Isensee, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

Abstract: C-arm Positioning for Standard Projections During Spinal Implant Placement.

Lisa Kausch, Sarina Thomas, Holger Kunze, Tobias Norajitra, André Klein, Leonardo Ayala, Jan Siad El Barbari, Maxim Privalov, Sven Yves Vetter, Andreas H. Mahnken, Lena Maier-Hein, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

Abstract: Towards Real-world Federated Learning in Medical Image Analysis using Kaapana.

Klaus Kades, Jonas Scherer, Maximilian Zenk, Marius Kempf, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

Extending nnU-Net Is All You Need.

Fabian Isensee, Constantin Ulrich, Tassilo Wald, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

Taming Detection Transformers for Medical Object Detection.

Marc K. Ickler, Michael Baumgartner, Saikat Roy, Tassilo Wald, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

Abstract: Deep-learning on Lossily Compressed Pathology Images - Adverse Effects for ImageNet Pre-trained Models.

Maximilian Fischer, Peter Neher, Michael Götz, Shuhan Xiao, Silvia Dias Almeida, Peter J. Schüffler, Alexander Muckenhuber, Rickmer Braren, Jens Kleesiek, Marco Nolden, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

2022

MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images.

David Zimmerer, Peter M. Full, Fabian Isensee, Paul Jäger, Tim Adler, Jens Petersen, Gregor Köhler, Tobias Roß, Annika Reinke, Antanas Kascenas, Bjørn Sand Jensen, Alison Q. O'Neil, Jeremy Tan, Benjamin Hou, James Batten, Huaqi Qiu, Bernhard Kainz, Nina Shvetsova, Irina Fedulova, Dmitry V. Dylov, Baolun Yu, Jianyang Zhai, Jingtao Hu, Runxuan Si, Sihang Zhou, Siqi Wang, Xinyang Li, Xuerun Chen, Yang Zhao, Sergio Naval Marimont, Giacomo Tarroni, Victor Saase, Lena Maier-Hein, Klaus H. Maier-Hein

IEEE Trans. Medical Imaging, 2022

Rapid artificial intelligence solutions in a pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge.

Holger R. Roth, Ziyue Xu, Carlos Tor-Díez, Ramon Sánchez-Jacob, Jonathan Zember, Jose Molto, Wenqi Li, Sheng Xu, Baris Turkbey, Evrim Turkbey, Dong Yang, Ahmed Harouni, Nicola Rieke, Shishuai Hu, Fabian Isensee, Claire Tang, Qinji Yu, Jan Sölter, Tong Zheng, Vitali Liauchuk, Ziqi Zhou, Jan Hendrik Moltz, Bruno Oliveira, Yong Xia, Klaus H. Maier-Hein, Qikai Li, Andreas Husch, Luyang Zhang, Vassili Kovalev, Li Kang, Alessa Hering, João L. Vilaça, Mona Flores, Daguang Xu, Bradford J. Wood, Marius George Linguraru

Medical Image Anal., 2022

C-arm positioning for standard projections during spinal implant placement.

Lisa Kausch, Sarina Thomas, Holger Kunze, Tobias Norajitra, André Klein, Leonardo Ayala, Jan Siad El Barbari, Eric Mandelka, Maxim Privalov, Sven Yves Vetter, Andreas H. Mahnken, Lena Maier-Hein, Klaus H. Maier-Hein

Medical Image Anal., 2022

MONAI: An open-source framework for deep learning in healthcare.

M. Jorge Cardoso, Wenqi Li, Richard Brown, Nic Ma, Eric Kerfoot, Yiheng Wang, Benjamin Murray, Andriy Myronenko, Can Zhao, Dong Yang, Vishwesh Nath, Yufan He, Ziyue Xu, Ali Hatamizadeh, Wentao Zhu, Yun Liu, Mingxin Zheng, Yucheng Tang, Isaac Yang, Michael Zephyr, Behrooz Hashemian, Sachidanand Alle, Mohammad Zalbagi Darestani, Charlie Budd, Marc Modat, Tom Vercauteren, Guotai Wang, Yiwen Li, Yipeng Hu, Yunguan Fu, Benjamin Gorman, Hans J. Johnson, Brad W. Genereaux, Barbaros S. Erdal, Vikash Gupta, Andres Diaz-Pinto, Andre Dourson, Lena Maier-Hein, Paul F. Jaeger, Michael Baumgartner, Jayashree Kalpathy-Cramer, Mona Flores, Justin S. Kirby, Lee A. D. Cooper, Holger R. Roth, Daguang Xu, David Bericat, Ralf Floca, S. Kevin Zhou, Haris Shuaib, Keyvan Farahani, Klaus H. Maier-Hein, Stephen R. Aylward, Prerna Dogra, Sébastien Ourselin, Andrew Feng

CoRR, 2022

Metrics reloaded: Pitfalls and recommendations for image analysis validation.

Lena Maier-Hein, Annika Reinke, Evangelia Christodoulou, Ben Glocker, Patrick Godau, Fabian Isensee, Jens Kleesiek, Michal Kozubek, Mauricio Reyes, Michael A. Riegler, Manuel Wiesenfarth, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Minu Dietlinde Tizabi, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Peter Bankhead, Arriel Benis, M. Jorge Cardoso, Veronika Cheplygina, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Bram van Ginneken, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Pierre Jannin, Charles E. Kahn, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Annette Kopp-Schneider, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, David Moher, Karel G. M. Moons, Henning Müller, Felix Nickel, Brennan Nichyporuk, Jens Petersen, Nasir M. Rajpoot, Nicola Rieke, Julio Saez-Rodriguez, Clarisa Sánchez Gutiérrez, Shravya Shetty, Maarten van Smeden, Carole H. Sudre, Ronald M. Summers, Abdel A. Taha, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Paul F. Jäger

CoRR, 2022

Federated Learning Enables Big Data for Rare Cancer Boundary Detection.

Sarthak Pati, Ujjwal Baid, Brandon Edwards, Micah J. Sheller, Hans Shih-Han Wang, G. Anthony Reina, Patrick Foley, Alexey Gruzdev, Deepthi Karkada, Christos Davatzikos, Chiharu Sako, Satyam Ghodasara, Michel Bilello, Suyash Mohan, Philipp Vollmuth, Gianluca Brugnara, Chandrakanth J. Preetha, Felix Sahm, Klaus H. Maier-Hein, Maximilian Zenk, Martin Bendszus, Wolfgang Wick, Evan Calabrese, Jeffrey D. Rudie, Javier E. Villanueva-Meyer, Soonmee Cha, Madhura Ingalhalikar, Manali Jadhav, Umang Pandey, Jitender Saini, John Garrett, Matthew Larson, Robert Jeraj, Stuart Currie, Russell Frood, Kavi Fatania, Raymond Y. Huang, Ken Chang, Carmen Balaña Quintero, Jaume Capellades, Josep Puig, Johannes Trenkler, Josef Pichler, Georg Necker, Andreas Haunschmidt, Stephan Meckel, Gaurav Shukla, Spencer Liem, Gregory S. Alexander, et al.

CoRR, 2022

A Noisy nnU-Net Student for Semi-supervised Abdominal Organ Segmentation.

Gregor Köhler, Fabian Isensee, Klaus H. Maier-Hein

Proceedings of the Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation, 2022

Towards Real-World Federated Learning in Medical Image Analysis Using Kaapana.

Klaus Kades, Jonas Scherer, Maximilian Zenk, Marius Kempf, Klaus H. Maier-Hein

Proceedings of the Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health, 2022

Deep Learning on Lossily Compressed Pathology Images: Adverse Effects for ImageNet Pre-trained Models.

Maximilian Fischer, Peter Neher, Michael Götz, Shuhan Xiao, Silvia Dias Almeida, Peter J. Schüffler, Alexander Muckenhuber, Rickmer Braren, Jens Kleesiek, Marco Nolden, Klaus H. Maier-Hein

Proceedings of the Medical Optical Imaging and Virtual Microscopy Image Analysis, 2022

Accurate Detection of Mediastinal Lesions with nnDetection.

Michael Baumgartner, Peter M. Full, Klaus H. Maier-Hein

Proceedings of the Lesion Segmentation in Surgical and Diagnostic Applications, 2022

Detailed Annotations of Chest X-Rays via CT Projection for Report Understanding.

Constantin Marc Seibold, Simon Reiß, M. Saquib Sarfraz, Matthias A. Fink, Victoria Mayer, Jan Sellner, Moon-Sung Kim, Klaus H. Maier-Hein, Jens Kleesiek, Rainer Stiefelhagen

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Unsupervised Anomaly Detection in the Wild.

David Zimmerer, Daniel Paech, Carsten T. Lüth, Jens Petersen, Gregor Köhler, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

Realistic Evaluation of FixMatch on Imbalanced Medical Image Classification Tasks.

Maximilian Zenk, David Zimmerer, Fabian Isensee, Paul F. Jäger, Jakob Wasserthal, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

Abstract: C-arm Positioning for Spinal Standard Projections in Different Intra-operative Settings.

Lisa Kausch, Sarina Thomas, Holger Kunze, Tobias Norajitra, André Klein, Jan Siad El Barbari, Maxim Privalov, Sven Yves Vetter, Andreas H. Mahnken, Lena Maier-Hein, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

Efficient DICOM Image Tagging and Cohort Curation Within Kaapana.

Klaus Kades, Jonas Scherer, Jan Scholtyssek, Tobias Penzkofer, Marco Nolden, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

DICOM Whole Slide Imaging for Computational Pathology Research in Kaapana and the Joint Imaging Platform.

Maximilian Fischer, Philipp Schader, Rickmer Braren, Michael Götz, Alexander Muckenhuber, Wilko Weichert, Peter J. Schüffler, Jens Kleesiek, Jonas Scherer, Klaus Kades, Klaus H. Maier-Hein, Marco Nolden

Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

Abstract: nnDetection - A Self-configuring Method for Medical Object Detection.

Michael Baumgartner, Paul F. Jäger, Fabian Isensee, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

2021

Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge.

Víctor M. Campello, Polyxeni Gkontra, Cristian Izquierdo, Carlos Martín-Isla, Alireza Sojoudi, Peter M. Full, Klaus H. Maier-Hein, Yao Zhang, Zhiqiang He, Jun Ma, Mario Parreño, Alberto Albiol, Fanwei Kong, Shawn C. Shadden, Jorge Corral Acero, Vaanathi Sundaresan, Mina Saber, Mustafa A. Alattar, Hongwei Li, Bjoern H. Menze, Firas Khader, Christoph Haarburger, Cian M. Scannell, Mitko Veta, Adam Carscadden, Kumaradevan Punithakumar, Xiao Liu, Sotirios A. Tsaftaris, Xiaoqiong Huang, Xin Yang, Lei Li, Xiahai Zhuang, David Viladés, Martín Luís Descalzo, Andrea Guala, Lucia La Mura, Matthias G. W. Friedrich, Ria Garg, Julie Lebel, Filipe Henriques, Mahir Karakas, Ersin Çavus, Steffen E. Petersen, Sergio Escalera, Santi Seguí, José F. Rodríguez Palomares, Karim Lekadir

IEEE Trans. Medical Imaging, 2021

Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challenge.

Kimberley M. Timmins, Irene C. van der Schaaf, Edwin Bennink, Ynte M. Ruigrok, Xingle An, Michael Baumgartner, Pascal Bourdon, Riccardo de Feo, Tommaso Di Noto, Florian Dubost, Augusto Fava-Sanches, Xue Feng, Corentin Giroud, Inteneural Group, Minghui Hu, Paul F. Jaeger, Juhana Kaiponen, Michal Klimont, Yuexiang Li, Hongwei Li, Yi Lin, Timo Loehr, Jun Ma, Klaus H. Maier-Hein, Guillaume Marie, Bjoern H. Menze, Jonas Richiardi, Saifeddine Rjiba, Dhaval Shah, Suprosanna Shit, Jussi Tohka, Thierry Urruty, Urszula Walinska, Xiaoping Yang, Yunqiao Yang, Yin Yin, Birgitta K. Velthuis, Hugo J. Kuijf

NeuroImage, 2021

Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge.

Tobias Roß, Annika Reinke, Peter M. Full, Martin Wagner, Hannes Kenngott, Martin Apitz, Hellena Hempe, Diana Mîndroc-Filimon, Patrick Scholz, Thuy Nuong Tran, Pierangela Bruno, Pablo Arbeláez, Gui-Bin Bian, Sebastian Bodenstedt, Jon Lindström Bolmgren, Laura Bravo Sánchez, Hua-Bin Chen, Cristina González, Dong Guo, Pål Halvorsen, Pheng-Ann Heng, Enes Hosgor, Zeng-Guang Hou, Fabian Isensee, Debesh Jha, Tingting Jiang, Yueming Jin, Kadir Kirtaç, Sabrina Kletz, Stefan Leger, Zhixuan Li, Klaus H. Maier-Hein, Zhen-Liang Ni, Michael A. Riegler, Klaus Schoeffmann, Ruohua Shi, Stefanie Speidel, Michael Stenzel, Isabell Twick, Guotai Wang, Jiacheng Wang, Liansheng Wang, Lu Wang, Yujie Zhang, Yan-Jie Zhou, Lei Zhu, Manuel Wiesenfarth, Annette Kopp-Schneider, Beat P. Müller-Stich, Lena Maier-Hein

Medical Image Anal., 2021

CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation.

A. Emre Kavur, Naciye Sinem Gezer, Mustafa Baris, Sinem Aslan, Pierre-Henri Conze, Vladimir Groza, Duc Duy Pham, Soumick Chatterjee, Philipp Ernst, Savas Özkan, Bora Baydar, Dmitry A. Lachinov, Shuo Han, Josef Pauli, Fabian Isensee, Matthias Perkonigg, Rachana Sathish, Ronnie Rajan, Debdoot Sheet, Gurbandurdy Dovletov, Oliver Speck, Andreas Nürnberger, Klaus H. Maier-Hein, Gözde B. Akar, Gözde B. Ünal, Oguz Dicle, M. Alper Selver

Medical Image Anal., 2021

The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge.

Nicholas Heller, Fabian Isensee, Klaus H. Maier-Hein, Xiaoshuai Hou, Chunmei Xie, Fengyi Li, Yang Nan, Guangrui Mu, Zhiyong Lin, Miofei Han, Guang Yao, Yaozong Gao, Yao Zhang, Yixin Wang, Feng Hou, Jiawei Yang, Guangwei Xiong, Jiang Tian, Christopher Weight

Medical Image Anal., 2021

GP-ConvCNP: Better Generalization for Convolutional Conditional Neural Processes on Time Series Data.

Jens Petersen, Gregor Köhler, David Zimmerer, Fabian Isensee, Paul F. Jäger, Klaus H. Maier-Hein

CoRR, 2021

The Federated Tumor Segmentation (FeTS) Challenge.

Sarthak Pati, Ujjwal Baid, Maximilian Zenk, Brandon Edwards, Micah J. Sheller, G. Anthony Reina, Patrick Foley, Alexey Gruzdev, Jason Martin, Shadi Albarqouni, Yong Chen, Russell Taki Shinohara, Annika Reinke, David Zimmerer, John B. Freymann, Justin S. Kirby, Christos Davatzikos, Rivka R. Colen, Aikaterini Kotrotsou, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Hassan M. Fathallah-Shaykh, Roland Wiest, András Jakab, Marc-André Weber, Abhishek Mahajan, Lena Maier-Hein, Jens Kleesiek, Bjoern H. Menze, Klaus H. Maier-Hein, Spyridon Bakas

CoRR, 2021

Common Limitations of Image Processing Metrics: A Picture Story.

Annika Reinke, Matthias Eisenmann, Minu Dietlinde Tizabi, Carole H. Sudre, Tim Rädsch, Michela Antonelli, Tal Arbel, Spyridon Bakas, M. Jorge Cardoso, Veronika Cheplygina, Keyvan Farahani, Ben Glocker, Doreen Heckmann-Nötzel, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Jens Kleesiek, Tahsin M. Kurç, Michal Kozubek, Bennett A. Landman, Geert Litjens, Klaus H. Maier-Hein, Bjoern H. Menze, Henning Müller, Jens Petersen, Mauricio Reyes, Nicola Rieke, Bram Stieltjes, Ronald M. Summers, Sotirios A. Tsaftaris, Bram van Ginneken, Annette Kopp-Schneider, Paul Jäger, Lena Maier-Hein

CoRR, 2021

Analyzing magnetic resonance imaging data from glioma patients using deep learning.

Bjoern H. Menze, Fabian Isensee, Roland Wiest, Benedikt Wiestler, Klaus H. Maier-Hein, Mauricio Reyes, Spyridon Bakas

Comput. Medical Imaging Graph., 2021

Computer-assisted contralateral side comparison of the ankle joint using flat panel technology.

Sarina Thomas, Lisa Kausch, Holger Kunze, Maxim Privalov, André Klein, Jan Siad El Barbari, Celia Martín Vicario, Jochen Franke, Klaus H. Maier-Hein

Int. J. Comput. Assist. Radiol. Surg., 2021

IJCARS: BVM 2021 special issue.

Andreas K. Maier, Thomas M. Deserno, Heinz Handels, Klaus H. Maier-Hein, Christoph Palm, Thomas Tolxdorff

Int. J. Comput. Assist. Radiol. Surg., 2021

Correction to: Toward automatic C‑arm positioning for standard projections in orthopedic surgery.

Lisa Kausch, Sarina Thomas, Holger Kunze, Maxim Privalov, Sven Yves Vetter, Jochen Franke, Andreas H. Mahnken, Lena Maier-Hein, Klaus H. Maier-Hein

Int. J. Comput. Assist. Radiol. Surg., 2021

GP-ConvCNP: Better generalization for conditional convolutional Neural Processes on time series data.

Jens Petersen, Gregor Köhler, David Zimmerer, Fabian Isensee, Paul F. Jäger, Klaus H. Maier-Hein

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Automatic image-based pedicle screw planning.

Lisa Kausch, Moritz Scherer, Sarina Thomas, André Klein, Fabian Isensee, Klaus H. Maier-Hein

Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

Continuous-Time Deep Glioma Growth Models.

Jens Petersen, Fabian Isensee, Gregor Köhler, Paul F. Jäger, David Zimmerer, Ulf Neuberger, Wolfgang Wick, Jürgen Debus, Sabine Heiland, Martin Bendszus, Philipp Vollmuth, Klaus H. Maier-Hein

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

C-Arm Positioning for Spinal Standard Projections in Different Intra-operative Settings.

Lisa Kausch, Sarina Thomas, Holger Kunze, Tobias Norajitra, André Klein, Jan Siad El Barbari, Maxim Privalov, Sven Yves Vetter, Andreas H. Mahnken, Lena Maier-Hein, Klaus H. Maier-Hein

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

nnDetection: A Self-configuring Method for Medical Object Detection.

Michael Baumgartner, Paul F. Jäger, Fabian Isensee, Klaus H. Maier-Hein

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Abstract: Joint Imaging Platform for Federated Clinical Data Analytics.

Jonas Scherer, Marco Nolden, Jens Kleesiek, Jasmin Metzger, Klaus Kades, Verena Schneider, Hanno Gao, Peter Neher, Ralf Floca, Heinz-Peter Schlemmer, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

Abstract: Towards Automatic C-arm Positioning for Standard Projections in Orthopedic Surgery.

Lisa Kausch, Sarina Thomas, Holger Kunze, Maxim Privalov, Sven Yves Vetter, Jochen Franke, Andreas H. Mahnken, Lena Maier-Hein, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

Abstract: Data Augmentation for Information Transfer - Why Controlling for Confounding Effects in Radiomic Studies is Important and How to do it.

Michael Götz, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

Abstract: Studying Robustness of Semantic Segmentation under Domain Shift in Cardiac MRI.

Peter M. Full, Fabian Isensee, Paul F. Jäger, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

2020

The future of digital health with federated learning.

Nicola Rieke, Jonny Hancox, Wenqi Li, Fausto Milletarì, Holger R. Roth, Shadi Albarqouni, Spyridon Bakas, Mathieu N. Galtier, Bennett A. Landman, Klaus H. Maier-Hein, Sébastien Ourselin, Micah J. Sheller, Ronald M. Summers, Andrew Trask, Daguang Xu, Maximilian Baust, M. Jorge Cardoso

npj Digit. Medicine, 2020

Representing Ambiguity in Registration Problems with Conditional Invertible Neural Networks.

Darya Trofimova, Tim Adler, Lisa Kausch, Lynton Ardizzone, Klaus H. Maier-Hein, Ullrich Köthe, Carsten Rother, Lena Maier-Hein

CoRR, 2020

OR-UNet: an Optimized Robust Residual U-Net for Instrument Segmentation in Endoscopic Images.

Fabian Isensee, Klaus H. Maier-Hein

CoRR, 2020

Robust Medical Instrument Segmentation Challenge 2019.

Tobias Roß, Annika Reinke, Peter M. Full, Martin Wagner, Hannes Kenngott, Martin Apitz, Hellena Hempe, Diana Mîndroc-Filimon, Patrick Scholz, Thuy Nuong Tran, Pierangela Bruno, Pablo Arbeláez, Gui-Bin Bian, Sebastian Bodenstedt, Jon Lindström Bolmgren, Laura Bravo Sánchez, Hua-Bin Chen, Cristina González, Dong Guo, Pål Halvorsen, Pheng-Ann Heng, Enes Hosgor, Zeng-Guang Hou, Fabian Isensee, Debesh Jha, Tingting Jiang, Yueming Jin, Kadir Kirtaç, Sabrina Kletz, Stefan Leger, Zhixuan Li, Klaus H. Maier-Hein, Zhen-Liang Ni, Michael A. Riegler, Klaus Schoeffmann, Ruohua Shi, Stefanie Speidel, Michael Stenzel, Isabell Twick, Guotai Wang, Jiacheng Wang, Liansheng Wang, Lu Wang, Yujie Zhang, Yan-Jie Zhou, Lei Zhu, Manuel Wiesenfarth, Annette Kopp-Schneider, Beat Peter Müller-Stich, Lena Maier-Hein

CoRR, 2020

Toward automatic C-arm positioning for standard projections in orthopedic surgery.

Lisa Kausch, Sarina Thomas, Holger Kunze, Maxim Privalov, Sven Yves Vetter, Jochen Franke, Andreas H. Mahnken, Lena Maier-Hein, Klaus H. Maier-Hein

Int. J. Comput. Assist. Radiol. Surg., 2020

Studying Robustness of Semantic Segmentation Under Domain Shift in Cardiac MRI.

Peter M. Full, Fabian Isensee, Paul F. Jäger, Klaus H. Maier-Hein

Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020

nnU-Net for Brain Tumor Segmentation.

Fabian Isensee, Paul F. Jäger, Peter M. Full, Philipp Vollmuth, Klaus H. Maier-Hein

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

Abstract: Unsupervised Anomaly Localization Using Variational Auto-Encoders.

David Zimmerer, Fabian Isensee, Jens Petersen, Simon Kohl, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

Abstract: Deep Probabilistic Modeling of Glioma Growth.

Jens Petersen, Paul F. Jäger, Fabian Isensee, Simon A. A. Kohl, Ulf Neuberger, Wolfgang Wick, Jürgen Debus, Sabine Heiland, Martin Bendszus, Philipp Kickingereder, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

Abstract: MITK-ModelFit.

Ina Kompan, Charlotte Debus, Michael Ingrisch, Klaus H. Maier-Hein, Amir Abdollahi, Marco Nolden, Ralf Floca

Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

2019

Simulated dMRI images and ground truth of random fiber phantoms in various configurations.

Peter F. Neher, Klaus H. Maier-Hein

Dataset, January, 2019

Bundle-specific tractography with incorporated anatomical and orientational priors.

Francois Rheault, Etienne St-Onge, Jasmeen Sidhu, Klaus H. Maier-Hein, Nathalie Tzourio-Mazoyer, Laurent Petit, Maxime Descoteaux

NeuroImage, 2019

Combined tract segmentation and orientation mapping for bundle-specific tractography.

Jakob Wasserthal, Peter F. Neher, Dusan Hirjak, Klaus H. Maier-Hein

Medical Image Anal., 2019

The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge.

Nicholas Heller, Fabian Isensee, Klaus H. Maier-Hein, Xiaoshuai Hou, Chunmei Xie, Fengyi Li, Yang Nan, Guangrui Mu, Zhiyong Lin, Miofei Han, Guang Yao, Yaozong Gao, Yao Zhang, Yixin Wang, Feng Hou, Jiawei Yang, Guangwei Xiong, Jiang Tian, Cheng Zhong, Jun Ma, Jack Rickman, Joshua Dean, Bethany Stai, Resha Tejpaul, Makinna Oestreich, Paul Blake, Heather Kaluzniak, Shaneabbas Raza, Joel Rosenberg, Keenan Moore, Edward Walczak, Zachary Rengel, Zachary Edgerton, Ranveer Vasdev, Matthew Peterson, Seán McSweeney, Sarah Peterson, Arveen Kalapara, Niranjan Sathianathen, Christopher Weight, Nikolaos Papanikolopoulos

CoRR, 2019

A Case for the Score: Identifying Image Anomalies using Variational Autoencoder Gradients.

David Zimmerer, Jens Petersen, Simon A. A. Kohl, Klaus H. Maier-Hein

CoRR, 2019

ModelHub.AI: Dissemination Platform for Deep Learning Models.

Ahmed Hosny, Michael Schwier, Christoph Berger, Evin Pinar Örnek, Mehmet Turan, Phi V. Tran, Leon Weninger, Fabian Isensee, Klaus H. Maier-Hein, Richard McKinley, Michael T. Lu, Udo Hoffmann, Bjoern H. Menze, Spyridon Bakas, Andriy Fedorov, Hugo J. W. L. Aerts

CoRR, 2019

High- and Low-level image component decomposition using VAEs for improved reconstruction and anomaly detection.

David Zimmerer, Jens Petersen, Klaus H. Maier-Hein

CoRR, 2019

An attempt at beating the 3D U-Net.

Fabian Isensee, Klaus H. Maier-Hein

CoRR, 2019

A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities.

Simon A. A. Kohl, Bernardino Romera-Paredes, Klaus H. Maier-Hein, Danilo Jimenez Rezende, S. M. Ali Eslami, Pushmeet Kohli, Andrew Zisserman, Olaf Ronneberger

CoRR, 2019

nnU-Net: Breaking the Spell on Successful Medical Image Segmentation.

Fabian Isensee, Jens Petersen, Simon A. A. Kohl, Paul F. Jäger, Klaus H. Maier-Hein

CoRR, 2019

Automated brain extraction of multi-sequence MRI using artificial neural networks.

Fabian Isensee, Marianne Schell, Irada Tursunova, Gianluca Brugnara, David Bonekamp, Ulf Neuberger, Antje Wick, Heinz-Peter Schlemmer, Sabine Heiland, Wolfgang Wick, Martin Bendszus, Klaus Hermann Maier-Hein, Philipp Kickingereder

CoRR, 2019

Computer-assisted intra-operative verification of surgical outcome for the treatment of syndesmotic injuries through contralateral side comparison.

Sarina Thomas, Fabian Isensee, Simon Kohl, Maxim Privalov, Nils Beisemann, Benedict Swartman, Holger Keil, Sven Yves Vetter, Jochen Franke, Paul Alfred Grützner, Lena Maier-Hein, Marco Nolden, Klaus H. Maier-Hein

Int. J. Comput. Assist. Radiol. Surg., 2019

IJCARS: BVM 2019 special issue.

Andreas Maier, Thomas M. Deserno, Heinz Handels, Klaus H. Maier-Hein, Christoph Palm, Thomas Tolxdorff

Int. J. Comput. Assist. Radiol. Surg., 2019

Guest editorial of the IJCARS - BVM 2018 special issue.

Andreas K. Maier, Thomas M. Deserno, Heinz Handels, Klaus H. Maier-Hein, Christoph Palm, Thomas Tolxdorff

Int. J. Comput. Assist. Radiol. Surg., 2019

Automatic bone segmentation in whole-body CT images.

André Klein, Jan Warszawski, Jens Hillengaß, Klaus H. Maier-Hein

Int. J. Comput. Assist. Radiol. Surg., 2019

MITK-ModelFit: A generic open-source framework for model fits and their exploration in medical imaging - design, implementation and application on the example of DCE-MRI.

Charlotte Debus, Ralf Floca, Michael Ingrisch, Ina Kompan, Klaus H. Maier-Hein, Amir Abdollahi, Marco Nolden

BMC Bioinform., 2019

Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection.

Paul F. Jaeger, Simon A. A. Kohl, Sebastian Bickelhaupt, Fabian Isensee, Tristan Anselm Kuder, Heinz-Peter Schlemmer, Klaus H. Maier-Hein

Proceedings of the Machine Learning for Health Workshop, 2019

Unsupervised Anomaly Localization Using Variational Auto-Encoders.

David Zimmerer, Fabian Isensee, Jens Petersen, Simon Kohl, Klaus H. Maier-Hein

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Reg R-CNN: Lesion Detection and Grading Under Noisy Labels.

Gregor N. Ramien, Paul F. Jaeger, Simon A. A. Kohl, Klaus H. Maier-Hein

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures, 2019

Deep Probabilistic Modeling of Glioma Growth.

Jens Petersen, Paul F. Jäger, Fabian Isensee, Simon A. A. Kohl, Ulf Neuberger, Wolfgang Wick, Jürgen Debus, Sabine Heiland, Martin Bendszus, Philipp Kickingereder, Klaus H. Maier-Hein

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Abstract: Tract Orientation Mapping for Bundle-Specific Tractography.

Jakob Wasserthal, Peter F. Neher, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019

Efficient Web-Based Review for Automatic Segmentation of Volumetric DICOM Images.

Tobias Stein, Jasmin Metzger, Jonas Scherer, Fabian Isensee, Tobias Norajitra, Jens Kleesiek, Klaus H. Maier-Hein, Marco Nolden

Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019

Abstract: Anchor-Constrained Plausibility - A Novel Concept for Assessing Tractography and Reducing False-Positives.

Peter F. Neher, Bram Stieltjes, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019

Abstract: nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation.

Fabian Isensee, Jens Petersen, André Klein, David Zimmerer, Paul F. Jaeger, Simon Kohl, Jakob Wasserthal, Gregor Köhler, Tobias Norajitra, Sebastian J. Wirkert, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019

2018

Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?

Olivier Bernard, Alain Lalande, Clément Zotti, Frederic Cervenansky, Xin Yang, Pheng-Ann Heng, Irem Cetin, Karim Lekadir, Oscar Camara, Miguel Ángel González Ballester, Gerard Sanroma, Sandy Napel, Steffen E. Petersen, Georgios Tziritas, Elias Grinias, Mahendra Khened, Alex Varghese, Ganapathy Krishnamurthi, Marc-Michel Rohé, Xavier Pennec, Maxime Sermesant, Fabian Isensee, Paul Jäger, Klaus H. Maier-Hein, Peter M. Full, Ivo Wolf, Sandy Engelhardt, Christian F. Baumgartner, Lisa M. Koch, Jelmer M. Wolterink, Ivana Isgum, Yeonggul Jang, Yoonmi Hong, Jay Patravali, Shubham Jain, Olivier Humbert, Pierre-Marc Jodoin

IEEE Trans. Medical Imaging, 2018

TractSeg - Fast and accurate white matter tract segmentation.

Jakob Wasserthal, Peter Neher, Klaus H. Maier-Hein

NeuroImage, 2018

Context-encoding Variational Autoencoder for Unsupervised Anomaly Detection.

David Zimmerer, Simon A. A. Kohl, Jens Petersen, Fabian Isensee, Klaus H. Maier-Hein

CoRR, 2018

nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation.

Fabian Isensee, Jens Petersen, André Klein, David Zimmerer, Paul F. Jaeger, Simon Kohl, Jakob Wasserthal, Gregor Köhler, Tobias Norajitra, Sebastian J. Wirkert, Klaus H. Maier-Hein

CoRR, 2018

Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions.

Lena Maier-Hein, Matthias Eisenmann, Annika Reinke, Sinan Onogur, Marko Stankovic, Patrick Scholz, Tal Arbel, Hrvoje Bogunovic, Andrew P. Bradley, Aaron Carass, Carolin Feldmann, Alejandro F. Frangi, Peter M. Full, Bram van Ginneken, Allan Hanbury, Katrin Honauer, Michal Kozubek, Bennett A. Landman, Keno März, Oskar Maier, Klaus H. Maier-Hein, Bjoern H. Menze, Henning Müller, Peter F. Neher, Wiro J. Niessen, Nasir M. Rajpoot, Gregory C. Sharp, Korsuk Sirinukunwattana, Stefanie Speidel, Christian Stock, Danail Stoyanov, Abdel Aziz Taha, Fons van der Sommen, Ching-Wei Wang, Marc-André Weber, Guoyan Zheng, Pierre Jannin, Annette Kopp-Schneider

CoRR, 2018

Exploiting the potential of unlabeled endoscopic video data with self-supervised learning.

Tobias Roß, David Zimmerer, Anant Suraj Vemuri, Fabian Isensee, Manuel Wiesenfarth, Sebastian Bodenstedt, Fabian Both, Philip Kessler, Martin Wagner, Beat Müller, Hannes Kenngott, Stefanie Speidel, Annette Kopp-Schneider, Klaus H. Maier-Hein, Lena Maier-Hein

Int. J. Comput. Assist. Radiol. Surg., 2018

A Probabilistic U-Net for Segmentation of Ambiguous Images.

Simon Kohl, Bernardino Romera-Paredes, Clemens Meyer, Jeffrey De Fauw, Joseph R. Ledsam, Klaus H. Maier-Hein, S. M. Ali Eslami, Danilo Jimenez Rezende, Olaf Ronneberger

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Tract Orientation Mapping for Bundle-Specific Tractography.

Jakob Wasserthal, Peter F. Neher, Klaus H. Maier-Hein

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Anchor-Constrained Plausibility (ACP): A Novel Concept for Assessing Tractography and Reducing False-Positives.

Peter F. Neher, Bram Stieltjes, Klaus H. Maier-Hein

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Domain Adaptation for Deviating Acquisition Protocols in CNN-Based Lesion Classification on Diffusion-Weighted MR Images.

Jennifer Kamphenkel, Paul F. Jäger, Sebastian Bickelhaupt, Frederik Bernd Laun, Wolfgang Lederer, Heidi Daniel, Tristan Anselm Kuder, Stefan Delorme, Heinz-Peter Schlemmer, Franziska König, Klaus H. Maier-Hein

Proceedings of the Image Analysis for Moving Organ, Breast, and Thoracic Images, 2018

No New-Net.

Fabian Isensee, Philipp Kickingereder, Wolfgang Wick, Martin Bendszus, Klaus H. Maier-Hein

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

Abstract: Physiological Parameter Estimation from Multispectral Images Unleashed.

Sebastian J. Wirkert, Anant Suraj Vemuri, Hannes Götz Kenngott, Sara Moccia, Michael Götz, Benjamin F. B. Mayer, Klaus Hermann Maier-Hein, Daniel S. Elson, Lena Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018

Abstract: Rekonstruktion der initialen Druckverteilung photoakustischer Bilder mit limitiertem Blickwinkel durch maschinelle Lernverfahren.

Dominik Waibel, Janek Gröhl, Fabian Isensee, Klaus Hermann Maier-Hein, Lena Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018

Abstract: Leveraging Open Source Software to Close Translational Gaps in Medical Image Computing.

Jens Petersen, Sabine Heiland, Martin Bendszus, Jürgen Debus, Marco Nolden, Caspar J. Goch, Klaus Hermann Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018

Towards Whole-body CT Bone Segmentation.

André Klein, Jan Warszawski, Jens Hillengaß, Klaus Hermann Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018

Advanced Deep Learning Methods.

Paul Jäger, Fabian Isensee, Jens Petersen, David Zimmerer, Jakob Wasserthal, Klaus Hermann Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018

Abstract: Revealing Hidden Potentials of the q-Space Signal in Breast Cancer.

Paul Jaeger, Sebastian Bickelhaupt, Frederik Bernd Laun, Wolfgang Lederer, Daniel Heidi, Tristan Anselm Kuder, Daniel Paech, David Bonekamp, Alexander Radbruch, Stefan Delorme, Heinz-Peter Schlemmer, Franziska Steudle, Klaus Hermann Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018

Automated Containerized Medical Image Processing Based on MITK and Python - A Modular System to Implement Medical Image Processing Pipelines and Visualize Meta Data.

Caspar J. Goch, Jasmin Metzger, Martin Hettich, André Klein, Tobias Norajitra, Michael Götz, Jens Petersen, Klaus H. Maier-Hein, Marco Nolden

Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018

2017

Tractography Challenge ISMRM 2015 b=3000s/mm² Data.

Peter F. Neher, Jean-Christophe Houde, Maxime Descoteaux, Klaus H. Maier-Hein

Dataset, October, 2017

3D Statistical Shape Models Incorporating Landmark-Wise Random Regression Forests for Omni-Directional Landmark Detection.

Tobias Norajitra, Klaus H. Maier-Hein

IEEE Trans. Medical Imaging, 2017

Fiber tractography using machine learning.

Peter F. Neher, Marc-Alexandre Côté, Jean-Christophe Houde, Maxime Descoteaux, Klaus H. Maier-Hein

NeuroImage, 2017

MiMSeg - an algorithm for automated detection of tumor tissue on NMR apparent diffusion coefficient maps.

Franciszek Binczyk, Bram Stjelties, Christian Weber, Michael Götz, Klaus H. Maier-Hein, Hans-Peter Meinzer, Barbara Bobek-Billewicz, Rafal Tarnawski, Joanna Polanska

Inf. Sci., 2017

Adversarial Networks for Prostate Cancer Detection.

Simon Kohl, David Bonekamp, Heinz-Peter Schlemmer, Kaneschka Yaqubi, Markus Hohenfellner, Boris Hadaschik, Jan-Philipp Radtke, Klaus H. Maier-Hein

CoRR, 2017

Exploiting the potential of unlabeled endoscopic video data with self-supervised learning.

Tobias Roß, David Zimmerer, Anant Suraj Vemuri, Fabian Isensee, Sebastian Bodenstedt, Fabian Both, Philip Kessler, Martin Wagner, Beat Müller, Hannes Kenngott, Stefanie Speidel, Klaus H. Maier-Hein, Lena Maier-Hein

CoRR, 2017

Direct White Matter Bundle Segmentation using Stacked U-Nets.

Jakob Wasserthal, Peter F. Neher, Fabian Isensee, Klaus H. Maier-Hein

CoRR, 2017

Adversarial Networks for the Detection of Aggressive Prostate Cancer.

Simon Kohl, David Bonekamp, Heinz-Peter Schlemmer, Kaneschka Yaqubi, Markus Hohenfellner, Boris Hadaschik, Jan-Philipp Radtke, Klaus H. Maier-Hein

CoRR, 2017

Revealing Hidden Potentials of q-Space Imaging in Breast Cancer.

Paul Jaeger, Sebastian Bickelhaupt, Frederik Bernd Laun, Wolfgang Lederer, Daniel Heidi, Tristan Anselm Kuder, Daniel Paech, David Bonekamp, Alexander Radbruch, Stefan Delorme, Heinz-Peter Schlemmer, Franziska Steudle, Klaus H. Maier-Hein

CoRR, 2017

Physiological Parameter Estimation from Multispectral Images Unleashed.

Sebastian J. Wirkert, Anant Suraj Vemuri, Hannes Götz Kenngott, Sara Moccia, Michael Götz, Benjamin F. B. Mayer, Klaus H. Maier-Hein, Daniel S. Elson, Lena Maier-Hein

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Learn to Track: Deep Learning for Tractography.

Philippe Poulin, Marc-Alexandre Côté, Jean-Christophe Houde, Laurent Petit, Peter F. Neher, Klaus H. Maier-Hein, Hugo Larochelle, Maxime Descoteaux

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Revealing Hidden Potentials of the q-Space Signal in Breast Cancer.

Paul F. Jaeger, Sebastian Bickelhaupt, Frederik Bernd Laun, Wolfgang Lederer, Daniel Heidi, Tristan Anselm Kuder, Daniel Paech, David Bonekamp, Alexander Radbruch, Stefan Delorme, Heinz-Peter Schlemmer, Franziska Steudle, Klaus H. Maier-Hein

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge.

Fabian Isensee, Philipp Kickingereder, Wolfgang Wick, Martin Bendszus, Klaus H. Maier-Hein

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017

Automatic Cardiac Disease Assessment on cine-MRI via Time-Series Segmentation and Domain Specific Features.

Fabian Isensee, Paul F. Jaeger, Peter M. Full, Ivo Wolf, Sandy Engelhardt, Klaus H. Maier-Hein

Proceedings of the Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, 2017

Effective user guidance in online interactive semantic segmentation.

Jens Petersen, Martin Bendszus, Jürgen Debus, Sabine Heiland, Klaus H. Maier-Hein

Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Quantification of Guidance Strategies in Online Interactive Semantic Segmentation of Glioblastoma MRI.

Jens Petersen, Sabine Heiland, Martin Bendszus, Jürgen Debus, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017

Brain Tumor Segmentation Using Large Receptive Field Deep Convolutional Neural Networks.

Fabian Isensee, Philipp Kickingereder, David Bonekamp, Martin Bendszus, Wolfgang Wick, Heinz-Peter Schlemmer, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017

Training mit positiven und unannotierten Daten für automatische Voxelklassifikation.

Michael Götz, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017

Tutorial: Deep Learning Advancing the State-of-the-Art in Medical Image Analysis.

Vincent Christlein, Florin C. Ghesu, Tobias Würfl, Andreas K. Maier, Fabian Isensee, Peter Neher, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017

2016

Multi-Objective Memetic Search for Robust Motion and Distortion Correction in Diffusion MRI.

Jan Hering, Ivo Wolf, Klaus H. Maier-Hein

IEEE Trans. Medical Imaging, 2016

DALSA: Domain Adaptation for Supervised Learning From Sparsely Annotated MR Images.

Michael Götz, Christian Weber, Franciszek Binczyk, Joanna Polanska, Rafal Tarnawski, Barbara Bobek-Billewicz, Ullrich Köthe, Jens Kleesiek, Bram Stieltjes, Klaus H. Maier-Hein

IEEE Trans. Medical Imaging, 2016

Deep MRI brain extraction: A 3D convolutional neural network for skull stripping.

Jens Kleesiek, Gregor Urban, Alexander Hubert, Daniel Schwarz, Klaus H. Maier-Hein, Martin Bendszus, Armin Biller

NeuroImage, 2016

A learning-based, fully automatic liver tumor segmentation pipeline based on sparsely annotated training data.

Michael Götz, Eric Heim, Keno März, Tobias Norajitra, Mohammadreza Hafezi, Nassim Fard, Arianeb Mehrabi, Max Knoll, Christian Weber, Lena Maier-Hein, Klaus H. Maier-Hein

Proceedings of the Medical Imaging 2016: Image Processing, 2016

Crowd-Algorithm Collaboration for Large-Scale Endoscopic Image Annotation with Confidence.

Lena Maier-Hein, Tobias Roß, Janek Gröhl, Ben Glocker, Sebastian Bodenstedt, Christian Stock, Eric Heim, Michael Götz, Sebastian J. Wirkert, Hannes Kenngott, Stefanie Speidel, Klaus H. Maier-Hein

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Machine-learning based comparison of CT-perfusion maps and dual energy CT for pancreatic tumor detection.

Michael Götz, Stephan Skornitzke, Christian Weber, Franziska Fritz, Philipp Mayer, Marco Koell, Wolfram Stiller, Klaus H. Maier-Hein

Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 2016

Statistische 3D-Formmodelle mit verteilter Erscheinungsmodellierung - Segmentierung per Abstimmung.

Tobias Norajitra, Sandy Engelhardt, Thomas Held, Sameer Al-Maisary, Raffaele De Simone, Hans-Peter Meinzer, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2016 - Algorithmen - Systeme, 2016

Fallspezifisches Lernen zur automatischen Läsionssegmentierung in multimodalen MR-Bildern.

Michael Götz, Christoph Kolb, Christian Weber, Sebastian Regnery, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2016 - Algorithmen - Systeme, 2016

2015

Strengths and weaknesses of state of the art fiber tractography pipelines - A comprehensive in-vivo and phantom evaluation study using Tractometer.

Peter F. Neher, Maxime Descoteaux, Jean-Christophe Houde, Bram Stieltjes, Klaus H. Maier-Hein

Medical Image Anal., 2015

A Machine Learning Based Approach to Fiber Tractography Using Classifier Voting.

Peter F. Neher, Michael Götz, Tobias Norajitra, Christian Weber, Klaus H. Maier-Hein

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Input Data Adaptive Learning (IDAL) for Sub-acute Ischemic Stroke Lesion Segmentation.

Michael Götz, Christian Weber, Christoph Kolb, Klaus H. Maier-Hein

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2015

3D statistical shape models incorporating 3D random forest regression voting for robust CT liver segmentation.

Tobias Norajitra, Hans-Peter Meinzer, Klaus H. Maier-Hein

Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

Crowdgestützte Organsegmentierung: Möglichkeiten und Grenzen.

Eric Heim, Tobias Roß, Tobias Norajitra, Marco Nolden, Keno März, Daniel Kondermann, Stefanie Speidel, Klaus H. Maier-Hein, Lena Maier-Hein

Proceedings of the 14. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie, 2015

Überwachtes Lernen zur Prädiktion von Tumorwachstum.

Christian Weber, Michael Götz, Franciszek Binczyk, Joanna Polanska, Rafal Tarnawski, Barbara Bobek-Billewicz, Hans-Peter Meinzer, Bram Stieltjes, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2015, Algorithmen - Systeme, 2015

Automatisierung von Vorverarbeitungsschritten für medizinische Bilddaten mit semantischen Technologien.

Patrick Philipp, Maria Maleshkova, Michael Götz, Christian Weber, Benedikt Kämpgen, Sascha Zelzer, Klaus H. Maier-Hein, Miriam Klauß, Achim Rettinger

Proceedings of the Bildverarbeitung für die Medizin 2015, Algorithmen - Systeme, 2015

A Memetic Search Scheme for Robust Registration of Diffusion-Weighted MR Images.

Jan Hering, Ivo Wolf, Tawfik Moher Alsady, Hans-Peter Meinzer, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2015, Algorithmen - Systeme, 2015

Automatische Tumorsegmentierung mit spärlich annotierter Lernbasis.

Michael Götz, Christian Weber, Franciszek Binczyk, Joanna Polanska, Rafal Tarnawski, Barbara Bobek-Billewicz, Hans-Peter Meinzer, Bram Stieltjes, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2015, Algorithmen - Systeme, 2015

2014

Methodological considerations on tract-based spatial statistics (TBSS).

Michael Bach, Frederik B. Laun, Alexander Leemans, Chantal M. W. Tax, Geert Jan Biessels, Bram Stieltjes, Klaus H. Maier-Hein

NeuroImage, 2014

Quantification of changes in language-related brain areas in autism spectrum disorders using large-scale network analysis.

Caspar J. Goch, Bram Stieltjes, Romy Henze, Jan Hering, Luise Poustka, Hans-Peter Meinzer, Klaus H. Maier-Hein

Int. J. Comput. Assist. Radiol. Surg., 2014

Using Linked Data and Web APIs for Automating the Pre-processing of Medical Images.

Philipp Gemmeke, Maria Maleshkova, Patrick Philipp, Michael Götz, Christian Weber, Benedikt Kämpgen, Marco Nolden, Klaus H. Maier-Hein, Achim Rettinger

Proceedings of the 5th International Workshop on Consuming Linked Data (COLD 2014) co-located with the 13th International Semantic Web Conference (ISWC 2014), 2014

Active shape models incorporating isolated landmarks for medical image annotation.

Tobias Norajitra, Hans-Peter Meinzer, Bram Stieltjes, Klaus H. Maier-Hein

Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, San Diego, 2014

Erzeugung von Referenzdaten für Kopfbewegungskorrektur in Diffusion-MRI.

Jan Hering, Peter F. Neher, Hans-Peter Meinzer, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2014, Algorithmen - Systeme, 2014

The Estimation of Free-Water Corrected Diffusion Tensors.

Ofer Pasternak, Klaus H. Maier-Hein, Christian F. Baumgartner, Martha Elizabeth Shenton, Yogesh Rathi, Carl-Fredrik Westin

Proceedings of the Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data, 2014

2013

The Medical Imaging Interaction Toolkit: challenges and advances.

Marco Nolden, Sascha Zelzer, Alexander Seitel, Diana Wald, Michael Müller, Alfred M. Franz, Daniel Maleike, Markus Fangerau, Matthias Baumhauer, Lena Maier-Hein, Klaus H. Maier-Hein, Hans-Peter Meinzer, Ivo Wolf

Int. J. Comput. Assist. Radiol. Surg., 2013

Model-Based Super-Resolution of Diffusion MRI.

Alexandra Tobisch, Peter F. Neher, Matthew C. Rowe, Klaus H. Maier-Hein, Hui Zhang

Proceedings of the Computational Diffusion MRI and Brain Connectivity, 2013

Fiberfox: An Extensible System for Generating Realistic White Matter Software Phantoms.

Peter F. Neher, Frederik B. Laun, Bram Stieltjes, Klaus H. Maier-Hein

Proceedings of the Computational Diffusion MRI and Brain Connectivity, 2013

A Quantitative Evaluation of Errors Induced by Reduced Field-of-View in Diffusion Tensor Imaging.

Jan Hering, Ivo Wolf, Hans-Peter Meinzer, Bram Stieltjes, Klaus H. Maier-Hein

Proceedings of the Computational Diffusion MRI and Brain Connectivity, 2013

Global Changes in the Connectome in Autism Spectrum Disorders.

Caspar J. Goch, Basak Oztan, Bram Stieltjes, Romy Henze, Jan Hering, Luise Poustka, Hans-Peter Meinzer, Bülent Yener, Klaus H. Maier-Hein

Proceedings of the Computational Diffusion MRI and Brain Connectivity, 2013

Quantification of Changes in Language-Related Brain Areas in Autism Spectrum Disorders Using Large-Scale Network Analysis.

Caspar J. Goch, Bram Stieltjes, Romy Henze, Jan Hering, Hans-Peter Meinzer, Klaus H. Fritzsche

Proceedings of the Bildverarbeitung für die Medizin 2013 - Algorithmen - Systeme, 2013

2012

MITK global tractography.

Peter F. Neher, Bram Stieltjes, Marco Reisert, Ignaz Reicht, Hans-Peter Meinzer, Klaus H. Fritzsche

Proceedings of the Medical Imaging 2012: Image Processing, 2012

Integration eines globalen Traktographieverfahrens in das Medical Imaging Interaction Toolkit.

Peter F. Neher, Bram Stieltjes, Marco Reisert, Ignaz Reicht, Hans-Peter Meinzer, Klaus H. Fritzsche

Proceedings of the Bildverarbeitung für die Medizin 2012 - Algorithmen - Systeme, 2012

2011

Tract-Based Spatial Statistics of the Corpus Callosum using Different Tensor-Derived Indices.

Thomas van Bruggen, Bram Stieltjes, Hans-Peter Meinzer, Klaus H. Fritzsche

Proceedings of the Bildverarbeitung für die Medizin 2011: Algorithmen - Systeme, 2011

2010

Opportunities and pitfalls in the quantification of fiber integrity: What can we gain from Q-ball imaging?

Klaus H. Fritzsche, Frederik B. Laun, Hans-Peter Meinzer, Bram Stieltjes

NeuroImage, 2010

The extensible open-source rigid and affine image registration module of the Medical Imaging Interaction Toolkit (MITK).

Daniel Stein, Klaus H. Fritzsche, Marco Nolden, Hans-Peter Meinzer, Ivo Wolf

Comput. Methods Programs Biomed., 2010

Automated MR morphometry to predict Alzheimer's disease in mild cognitive impairment.

Klaus H. Fritzsche, Bram Stieltjes, Sarah Schlindwein, Thomas van Bruggen, Marco Essig, Hans-Peter Meinzer

Int. J. Comput. Assist. Radiol. Surg., 2010

Directional assessment of fiber integrity in Q-ball imaging.

Klaus H. Fritzsche, Frederik B. Laun, Bram Stieltjes, Hans-Peter Meinzer

Proceedings of the Medical Imaging 2010: Image Processing, 2010

The MITK image guided therapy toolkit and its application for augmented reality in laparoscopic prostate surgery.

Matthias Baumhauer, Jochen Neuhaus, Klaus H. Fritzsche, Hans-Peter Meinzer

Proceedings of the Medical Imaging 2010: Visualization, 2010

MITK-DI.

Klaus H. Fritzsche, Hans-Peter Meinzer

Proceedings of the Bildverarbeitung für die Medizin 2010 - Algorithmen - Systeme, 2010

2009

Vorhersage des Krankheitsverlaufes von leichten kognitiven Beeinträchtigungen durch automatisierte MRT Morphometrie.

Klaus H. Fritzsche, Sarah Schlindwein, Bram Stieltjes, Marco Essig, Hans-Peter Meinzer

Proceedings of the Bildverarbeitung für die Medizin 2009: Algorithmen - Systeme, 2009

2008

A computational method for the estimation of atrophic changes in Alzheimer's disease and mild cognitive impairment.

Klaus H. Fritzsche, Aldo von Wangenheim, Daniel Duarte Abdala, Hans-Peter Meinzer

Comput. Medical Imaging Graph., 2008

A simulator for surgery training: optimal sensory stimuli in a bone pinning simulation.

Stefan Dänzer, Klaus H. Fritzsche

Proceedings of the Medical Imaging 2008: Visualization, 2008

Neurodegenerative changes in Alzheimer's disease: a comparative study of manual, semi-automated, and fully automated assessment using MRI.

Klaus H. Fritzsche, Frederik L. Giesel, Tobias Heimann, Philipp A. Thomann, Horst K. Hahn, Johannes Pantel, Johannes Schröder, Marco Essig, Hans-Peter Meinzer

Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, San Diego, 2008

Quantifizierung neurodegenerativer Veränderungen bei der Alzheimer Krankheit.

Klaus H. Fritzsche, Frederik L. Giesel, Philipp A. Thomann, Horst K. Hahn, Marco Essig, Hans-Peter Meinzer

Proceedings of the Bildverarbeitung für die Medizin 2008, 2008

2006

Automated MRI-Based Quantification of the Cerebral Atrophy Providing Diagnostic Information on Mild Cognitive Impairment and Alzheimer's Disease.

Klaus H. Fritzsche, Aldo von Wangenheim, Rüdiger Dillmann, Roland Unterhinninghofen

Proceedings of the 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2006), 2006