Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification. - Christoph Haarburger; Michael Baumgartner 001; Daniel Truhn; Mirjam Broeckmann; Hannah Schneider; Simone Schrading; Christiane Kuhl; Dorit Merhof (MICCAI (4), 2019)

Delira: A High-Level Framework for Deep Learning in Medical Image Analysis. - Christoph Haarburger; Justus Schock; Michael Baumgartner 001; Oliver Rippel; Dorit Merhof (J. Open Source Softw., 2019)

nnDetection: A Self-configuring Method for Medical Object Detection. - Michael Baumgartner 001; Paul F. Jäger; Fabian Isensee; Klaus H. Maier-Hein (MICCAI (5), 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 001; Pascal Bourdon; Riccardo de Feo; Tommaso Di Noto; Florian Dubost; Augusto Fava-Sanches; Xue Feng 001; et al. (NeuroImage, 2021)

Abstract: nnDetection - A Self-configuring Method for Medical Object Detection. - Michael Baumgartner 001; Paul F. Jäger; Fabian Isensee; Klaus H. Maier-Hein (Bildverarbeitung für die Medizin, 2022)

Heterogeneous Model Ensemble For Automatic Polyp Detection and Tracking In Colonoscopy. - Amine Yamlahi; Patrick Godau; Thuy Nuong Tran; Lucas-Raphael Muller; Tim Adler; Minu Tizabi; Michael Baumgartner 001; Paul Jäger 002; Lena Maier-Hein (EndoCV@ISBI, 2022)

Accurate Detection of Mediastinal Lesions with nnDetection. - Michael Baumgartner 001; Peter M. Full; Klaus H. Maier-Hein (CuRIOUS/KiPA/MELA@MICCAI, 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 001; Mauricio Reyes 001; Michael A. Riegler; Manuel Wiesenfarth; Michael Baumgartner 001; et al. (CoRR, 2022)

MONAI: An open-source framework for deep learning in healthcare. - M. Jorge Cardoso; Wenqi Li 001; Richard Brown 004; Nic Ma; Eric Kerfoot; Yiheng Wang; Benjamin Murray; Andriy Myronenko; Can Zhao 001; Dong Yang 005; Vishwesh Nath; Yufan He; et al. (CoRR, 2022)

Taming Detection Transformers for Medical Object Detection. - Marc K. Ickler; Michael Baumgartner 001; Saikat Roy; Tassilo Wald; Klaus H. Maier-Hein (Bildverarbeitung für die Medizin, 2023)

Anatomy-Informed Data Augmentation for Enhanced Prostate Cancer Detection. - Balint Kovacs; Nils Netzer; Michael Baumgartner 001; Carolin Eith; Dimitrios Bounias; Clara Meinzer; Paul F. Jäger; Kevin S. Zhang; Ralf Floca; Adrian Schrader; Fabian Isensee; Regula Gnirs; et al. (MICCAI (7), 2023)

MedNeXt: Transformer-Driven Scaling of ConvNets for Medical Image Segmentation. - Saikat Roy; Gregor Köhler; Constantin Ulrich; Michael Baumgartner 001; Jens Petersen; Fabian Isensee; Paul F. Jäger; Klaus H. Maier-Hein (MICCAI (4), 2023)

MultiTalent: A Multi-dataset Approach to Medical Image Segmentation. - Constantin Ulrich; Fabian Isensee; Tassilo Wald; Maximilian Zenk; Michael Baumgartner 001; Klaus H. Maier-Hein (MICCAI (3), 2023)

Understanding metric-related pitfalls in image analysis validation. - Annika Reinke; Minu Tizabi; Michael Baumgartner 001; Matthias Eisenmann; Doreen Heckmann-Nötzel; A. Emre Kavur; Tim Rädsch; Carole H. Sudre; Laura Ación; Michela Antonelli; Tal Arbel; Spyridon Bakas; et al. (CoRR, 2023)

Transformer Utilization in Medical Image Segmentation Networks. - Saikat Roy; Gregor Köhler; Michael Baumgartner 001; Constantin Ulrich; Jens Petersen; 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 001; Klaus H. Maier-Hein (CoRR, 2023)

Abstract: Object Detection for Breast Diffusion-weighted Imaging. - Dimitrios Bounias; Michael Baumgartner 001; 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; et al. (Bildverarbeitung für die Medizin, 2024)

Abstract: Deep Learning-based Detection of Vessel Occlusions on CT-Angiography in Patients with Suspected Acute Ischemic Stroke. - Gianluca Brugnara; Michael Baumgartner 001; Edwin D. Scholze; Katerina Deike-Hofmann; Klaus Kades; Jonas Scherer; Stefan Denner; Hagen Meredig; Aditya Rastogi; Mustafa A. Mahmutoglu; Christian Ulfert; Ulf Neuberger; et al. (Bildverarbeitung für die Medizin, 2024)

Abstract: Anatomy-informed Data Augmentation for Enhanced Prostate Cancer Detection. - Balint Kovacs; Nils Netzer; Michael Baumgartner 001; Carolin Eith; Dimitrios Bounias; Clara Meinzer; Paul F. Jäger; Kevin S. Zhang; Ralf Floca; Adrian Schrader; Fabian Isensee; Regula Gnirs; et al. (Bildverarbeitung für die Medizin, 2024)

Abstract: 3D Medical Image Segmentation with Transformer-based Scaling of ConvNets - MedNeXt. - Saikat Roy; Gregor Köhler; Michael Baumgartner 001; Constantin Ulrich; Fabian Isensee; Paul F. Jaeger; Klaus H. Maier-Hein (Bildverarbeitung für die Medizin, 2024)

Abstract: Multi-dataset Approach to Medical Image Segmentation - MultiTalent. - Constantin Ulrich; Fabian Isensee; Tassilo Wald; Maximilian Zenk; Michael Baumgartner 001; Klaus H. Maier-Hein (Bildverarbeitung für die Medizin, 2024)

nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation. - Fabian Isensee; Tassilo Wald; Constantin Ulrich; Michael Baumgartner 001; Saikat Roy; Klaus H. Maier-Hein; Paul F. Jäger (MICCAI (9), 2024)

Mitigating False Predictions in Unreasonable Body Regions. - Constantin Ulrich; Catherine Knobloch; Julius Holzschuh; Tassilo Wald; Maximilian Rokuss; Maximilian Zenk; Maximilian Fischer; Michael Baumgartner 001; Fabian Isensee; Klaus H. Maier-Hein (MLMI@MICCAI (2), 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 002; Junjun He; et al. (NeurIPS, 2024)

Overcoming Common Flaws in the Evaluation of Selective Classification Systems. - Jeremias Traub; Till J. Bungert; Carsten T. Lüth; Michael Baumgartner 001; Klaus H. Maier-Hein; Lena Maier-Hein; Paul F. Jaeger (NeurIPS, 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 001; Klaus H. Maier-Hein (NeurIPS, 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 002; Junjun He; et al. (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 001; Alexander Muckenhuber; Silvia Dias Almeida; Michael Götz; et al. (CoRR, 2024)

Abstract: nnU-Net Revisited - Call for Rigorous Validation in 3D Medical Image Segmentation. - Fabian Isensee; Tassilo Wald; Constantin Ulrich; Michael Baumgartner 001; Saikat Roy; Klaus H. Maier-Hein; Paul F. Jäger (Bildverarbeitung für die Medizin, 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 001; Hyunsu Jeong; Chulhong Kim; Raphael Stock; Michael Baumgartner 001; Yannick Kirchhoff; Maximilian Rokuss; et al. (CoRR, 2025)

Multi-Class Segmentation of Aortic Branches and Zones in Computed Tomography Angiography: The AortaSeg24 Challenge. - Muhammad Imran 013; 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; et al. (CoRR, 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 001; Gregor Köhler; Klaus H. Maier-Hein (CoRR, 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; et al. (CoRR, 2025)