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 (CBMS, 2006)

Quantifizierung neurodegenerativer Veränderungen bei der Alzheimer Krankheit. - Klaus H. Fritzsche; Frederik L. Giesel; Philipp A. Thomann; Horst K. Hahn; Marco Essig; Hans-Peter Meinzer (Bildverarbeitung für die Medizin, 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 (Computer-Aided Diagnosis, 2008)

A simulator for surgery training: optimal sensory stimuli in a bone pinning simulation. - Stefan Dänzer; Klaus H. Fritzsche (Image-Guided Procedures, 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)

Vorhersage des Krankheitsverlaufes von leichten kognitiven Beeinträchtigungen durch automatisierte MRT Morphometrie. - Klaus H. Fritzsche; Sarah Schlindwein; Bram Stieltjes; Marco Essig; Hans-Peter Meinzer (Bildverarbeitung für die Medizin, 2009)

MITK-DI. - Klaus H. Fritzsche; Hans-Peter Meinzer (Bildverarbeitung für die Medizin, 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 (Image-Guided Procedures, 2010)

Directional assessment of fiber integrity in Q-ball imaging. - Klaus H. Fritzsche; Frederik B. Laun; Bram Stieltjes; Hans-Peter Meinzer (Image Processing, 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)

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)

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)

Tract-Based Spatial Statistics of the Corpus Callosum using Different Tensor-Derived Indices. - Thomas van Bruggen; Bram Stieltjes; Hans-Peter Meinzer; Klaus H. Fritzsche (Bildverarbeitung für die Medizin, 2011)

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 (Bildverarbeitung für die Medizin, 2012)

MITK global tractography. - Peter F. Neher; Bram Stieltjes; Marco Reisert; Ignaz Reicht; Hans-Peter Meinzer; Klaus H. Fritzsche (Image Processing, 2012)

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 (Bildverarbeitung für die Medizin, 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 (CDMRI/MMBC@MICCAI, 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 (CDMRI/MMBC@MICCAI, 2013)

Fiberfox: An Extensible System for Generating Realistic White Matter Software Phantoms. - Peter F. Neher; Frederik B. Laun; Bram Stieltjes; Klaus H. Maier-Hein (CDMRI/MMBC@MICCAI, 2013)

Model-Based Super-Resolution of Diffusion MRI. - Alexandra Tobisch; Peter F. Neher; Matthew C. Rowe; Klaus H. Maier-Hein; Hui Zhang 005 (CDMRI/MMBC@MICCAI, 2013)

The Medical Imaging Interaction Toolkit: challenges and advances. - Marco Nolden; Sascha Zelzer; Alexander Seitel; Diana Wald; Michael Müller 001; Alfred M. Franz; Daniel Maleike; Markus Fangerau; Matthias Baumhauer; Lena Maier-Hein; Klaus H. Maier-Hein; Hans-Peter Meinzer; et al. (Int. J. Comput. Assist. Radiol. Surg., 2013)

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 (Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data, 2014)

Erzeugung von Referenzdaten für Kopfbewegungskorrektur in Diffusion-MRI. - Jan Hering; Peter F. Neher; Hans-Peter Meinzer; Klaus H. Maier-Hein (Bildverarbeitung für die Medizin, 2014)

Active shape models incorporating isolated landmarks for medical image annotation. - Tobias Norajitra; Hans-Peter Meinzer; Bram Stieltjes; Klaus H. Maier-Hein (Computer-Aided Diagnosis, 2014)

Using Linked Data and Web APIs for Automating the Pre-processing of Medical Images. - Philipp Gemmeke; Maria Maleshkova; Patrick Philipp 002; Michael Götz; Christian Weber 001; Benedikt Kämpgen; Marco Nolden; Klaus H. Maier-Hein; Achim Rettinger (COLD, 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)

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)

Automatische Tumorsegmentierung mit spärlich annotierter Lernbasis. - Michael Götz; Christian Weber 001; Franciszek Binczyk; Joanna Polanska; Rafal Tarnawski; Barbara Bobek-Billewicz; Hans-Peter Meinzer; Bram Stieltjes; Klaus H. Maier-Hein (Bildverarbeitung für die Medizin, 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 (Bildverarbeitung für die Medizin, 2015)

Automatisierung von Vorverarbeitungsschritten für medizinische Bilddaten mit semantischen Technologien. - Patrick Philipp 002; Maria Maleshkova; Michael Götz; Christian Weber 001; Benedikt Kämpgen; Sascha Zelzer; Klaus H. Maier-Hein; Miriam Klauß; Achim Rettinger (Bildverarbeitung für die Medizin, 2015)

Überwachtes Lernen zur Prädiktion von Tumorwachstum. - Christian Weber 001; Michael Götz; Franciszek Binczyk; Joanna Polanska; Rafal Tarnawski; Barbara Bobek-Billewicz; Hans-Peter Meinzer; Bram Stieltjes; Klaus H. Maier-Hein (Bildverarbeitung für die Medizin, 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 (CURAC, 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 (Computer-Aided Diagnosis, 2015)

Input Data Adaptive Learning (IDAL) for Sub-acute Ischemic Stroke Lesion Segmentation. - Michael Götz; Christian Weber 001; Christoph Kolb; Klaus H. Maier-Hein (Brainles@MICCAI, 2015)

A Machine Learning Based Approach to Fiber Tractography Using Classifier Voting. - Peter F. Neher; Michael Götz; Tobias Norajitra; Christian Weber 001; Klaus H. Maier-Hein (MICCAI (1), 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)

Fallspezifisches Lernen zur automatischen Läsionssegmentierung in multimodalen MR-Bildern. - Michael Götz; Christoph Kolb; Christian Weber 001; Sebastian Regnery; Klaus H. Maier-Hein (Bildverarbeitung für die Medizin, 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 (Bildverarbeitung für die Medizin, 2016)

Machine-learning based comparison of CT-perfusion maps and dual energy CT for pancreatic tumor detection. - Michael Götz; Stephan Skornitzke; Christian Weber 001; Franziska Fritz; Philipp Mayer; Marco Koell; Wolfram Stiller; Klaus H. Maier-Hein (Computer-Aided Diagnosis, 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 (MICCAI (2), 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 001; Lena Maier-Hein; Klaus H. Maier-Hein (Image Processing, 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)

DALSA: Domain Adaptation for Supervised Learning From Sparsely Annotated MR Images. - Michael Götz; Christian Weber 001; Franciszek Binczyk; Joanna Polanska; Rafal Tarnawski; Barbara Bobek-Billewicz; Ullrich Köthe; Jens Kleesiek; Bram Stieltjes; Klaus H. Maier-Hein (IEEE Trans. Medical Imaging, 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)

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 (Bildverarbeitung für die Medizin, 2017)

Training mit positiven und unannotierten Daten für automatische Voxelklassifikation. - Michael Götz; Klaus H. Maier-Hein (Bildverarbeitung für die Medizin, 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 (Bildverarbeitung für die Medizin, 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 (Bildverarbeitung für die Medizin, 2017)

Effective user guidance in online interactive semantic segmentation. - Jens Petersen; Martin Bendszus; Jürgen Debus; Sabine Heiland; Klaus H. Maier-Hein (Computer-Aided Diagnosis, 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 (STACOM@MICCAI, 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 (BrainLes@MICCAI, 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; et al. (MICCAI (1), 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 (MICCAI (1), 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 (MICCAI (3), 2017)

Revealing Hidden Potentials of q-Space Imaging in Breast Cancer. - Paul Jaeger 002; 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; et al. (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)

Direct White Matter Bundle Segmentation using Stacked U-Nets. - Jakob Wasserthal; Peter F. Neher; Fabian Isensee; 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 001; Beat Müller; Hannes Kenngott; Stefanie Speidel; Klaus H. Maier-Hein; et al. (CoRR, 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)

MiMSeg - an algorithm for automated detection of tumor tissue on NMR apparent diffusion coefficient maps. - Franciszek Binczyk; Bram Stjelties; Christian Weber 001; Michael Götz; Klaus H. Maier-Hein; Hans-Peter Meinzer; Barbara Bobek-Billewicz; Rafal Tarnawski; Joanna Polanska (Inf. Sci., 2017)

Fiber tractography using machine learning. - Peter F. Neher; Marc-Alexandre Côté; Jean-Christophe Houde; Maxime Descoteaux; Klaus H. Maier-Hein (NeuroImage, 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)

Tractography Challenge ISMRM 2015 b=3000s/mm² Data. - Peter F. Neher; Jean-Christophe Houde; Maxime Descoteaux; Klaus H. Maier-Hein (Zenodo, 2017)

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 (Bildverarbeitung für die Medizin, 2018)

Abstract: Revealing Hidden Potentials of the q-Space Signal in Breast Cancer. - Paul Jaeger 002; 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; et al. (Bildverarbeitung für die Medizin, 2018)

Advanced Deep Learning Methods. - Paul Jäger 002; Fabian Isensee; Jens Petersen; David Zimmerer; Jakob Wasserthal; Klaus Hermann Maier-Hein (Bildverarbeitung für die Medizin, 2018)

Towards Whole-body CT Bone Segmentation. - André Klein; Jan Warszawski; Jens Hillengaß; Klaus Hermann Maier-Hein (Bildverarbeitung für die Medizin, 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 (Bildverarbeitung für die Medizin, 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 (Bildverarbeitung für die Medizin, 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 (Bildverarbeitung für die Medizin, 2018)

No New-Net. - Fabian Isensee; Philipp Kickingereder; Wolfgang Wick; Martin Bendszus; Klaus H. Maier-Hein (BrainLes@MICCAI (2), 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 (RAMBO+BIA+TIA@MICCAI, 2018)

Anchor-Constrained Plausibility (ACP): A Novel Concept for Assessing Tractography and Reducing False-Positives. - Peter F. Neher; Bram Stieltjes; Klaus H. Maier-Hein (MICCAI (3), 2018)

Tract Orientation Mapping for Bundle-Specific Tractography. - Jakob Wasserthal; Peter F. Neher; Klaus H. Maier-Hein (MICCAI (3), 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 (NeurIPS, 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 001; Beat Müller; Hannes Kenngott; Stefanie Speidel; et al. (Int. J. Comput. Assist. Radiol. Surg., 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 002; Patrick Scholz 001; Tal Arbel; Hrvoje Bogunovic; Andrew P. Bradley; Aaron Carass; Carolin Feldmann; Alejandro F. Frangi; et al. (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)

Context-encoding Variational Autoencoder for Unsupervised Anomaly Detection. - David Zimmerer; Simon A. A. Kohl; Jens Petersen; Fabian Isensee; Klaus H. Maier-Hein (CoRR, 2018)

TractSeg - Fast and accurate white matter tract segmentation. - Jakob Wasserthal; Peter Neher; Klaus H. Maier-Hein (NeuroImage, 2018)

Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved? - Olivier Bernard 001; Alain Lalande; Clément Zotti; Frederic Cervenansky; Xin Yang 009; Pheng-Ann Heng; Irem Cetin; Karim Lekadir; Oscar Camara 001; Miguel Ángel González Ballester; Gerard Sanroma; Sandy Napel; et al. (IEEE Trans. Medical Imaging, 2018)

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 (Bildverarbeitung für die Medizin, 2019)

Abstract: Anchor-Constrained Plausibility - A Novel Concept for Assessing Tractography and Reducing False-Positives. - Peter F. Neher; Bram Stieltjes; Klaus H. Maier-Hein (Bildverarbeitung für die Medizin, 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 (Bildverarbeitung für die Medizin, 2019)

Abstract: Tract Orientation Mapping for Bundle-Specific Tractography. - Jakob Wasserthal; Peter F. Neher; Klaus H. Maier-Hein (Bildverarbeitung für die Medizin, 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 (MICCAI (2), 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 (UNSURE/CLIP@MICCAI, 2019)

Unsupervised Anomaly Localization Using Variational Auto-Encoders. - David Zimmerer; Fabian Isensee; Jens Petersen; Simon Kohl; Klaus H. Maier-Hein (MICCAI (4), 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 (ML4H@NeurIPS, 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)

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)

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)

IJCARS: BVM 2019 special issue. - Andreas Maier 001; Thomas M. Deserno; Heinz Handels; Klaus H. Maier-Hein; Christoph Palm; Thomas Tolxdorff (Int. J. Comput. Assist. Radiol. Surg., 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; et al. (Int. J. Comput. Assist. Radiol. Surg., 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; et al. (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)

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)

An attempt at beating the 3D U-Net. - Fabian Isensee; Klaus H. Maier-Hein (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)

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; et al. (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)

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 002; Guangrui Mu; Zhiyong Lin; Miofei Han; Guang Yao; Yaozong Gao; et al. (CoRR, 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)

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)

Simulated dMRI images and ground truth of random fiber phantoms in various configurations. - Peter F. Neher; Klaus H. Maier-Hein (Zenodo, 2019)

Abstract: MITK-ModelFit. - Ina Kompan; Charlotte Debus; Michael Ingrisch; Klaus H. Maier-Hein; Amir Abdollahi; Marco Nolden; Ralf Floca (Bildverarbeitung für die Medizin, 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 (Bildverarbeitung für die Medizin, 2020)

Abstract: Unsupervised Anomaly Localization Using Variational Auto-Encoders. - David Zimmerer; Fabian Isensee; Jens Petersen; Simon Kohl; Klaus H. Maier-Hein (Bildverarbeitung für die Medizin, 2020)

nnU-Net for Brain Tumor Segmentation. - Fabian Isensee; Paul F. Jäger; Peter M. Full; Philipp Vollmuth; Klaus H. Maier-Hein (BrainLes@MICCAI (2), 2020)

Studying Robustness of Semantic Segmentation Under Domain Shift in Cardiac MRI. - Peter M. Full; Fabian Isensee; Paul F. Jäger; Klaus H. Maier-Hein (M&Ms and EMIDEC/STACOM@MICCAI, 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)

Robust Medical Instrument Segmentation Challenge 2019. - Tobias Roß; Annika Reinke; Peter M. Full; Martin Wagner 001; Hannes Kenngott; Martin Apitz; Hellena Hempe; Diana Mîndroc-Filimon; Patrick Scholz 001; Thuy Nuong Tran; Pierangela Bruno; Pablo Arbeláez; et al. (CoRR, 2020)

OR-UNet: an Optimized Robust Residual U-Net for Instrument Segmentation in Endoscopic Images. - Fabian Isensee; Klaus H. Maier-Hein (CoRR, 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)

The future of digital health with federated learning. - Nicola Rieke; Jonny Hancox; Wenqi Li 001; Fausto Milletarì; Holger R. Roth; Shadi Albarqouni; Spyridon Bakas; Mathieu N. Galtier; Bennett A. Landman; Klaus H. Maier-Hein; Sébastien Ourselin; Micah J. Sheller; et al. (npj Digit. Medicine, 2020)

Abstract: Studying Robustness of Semantic Segmentation under Domain Shift in Cardiac MRI. - Peter M. Full; Fabian Isensee; Paul F. Jäger; Klaus H. Maier-Hein (Bildverarbeitung für die Medizin, 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 (Bildverarbeitung für die Medizin, 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 (Bildverarbeitung für die Medizin, 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 (Bildverarbeitung für die Medizin, 2021)

nnDetection: A Self-configuring Method for Medical Object Detection. - Michael Baumgartner 001; Paul F. Jäger; Fabian Isensee; Klaus H. Maier-Hein (MICCAI (5), 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 (MICCAI (4), 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 (MICCAI (3), 2021)

Automatic image-based pedicle screw planning. - Lisa Kausch; Moritz Scherer 002; Sarina Thomas; André Klein; Fabian Isensee; Klaus H. Maier-Hein (Image-Guided Procedures, 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 (UAI, 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)

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)

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)

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 001; Spyridon Bakas (Comput. Medical Imaging Graph., 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; et al. (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 016; Russell Taki Shinohara; et al. (CoRR, 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 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 002; Guangrui Mu; Zhiyong Lin; Miofei Han; Guang Yao; Yaozong Gao; et al. (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; et al. (Medical Image Anal., 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 001; Hannes Kenngott; Martin Apitz; Hellena Hempe; Diana Mîndroc-Filimon; Patrick Scholz 001; Thuy Nuong Tran; Pierangela Bruno; Pablo Arbeláez; et al. (Medical Image Anal., 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)

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 010; Zhiqiang He 002; Jun Ma 016; Mario Parreño; Alberto Albiol; et al. (IEEE Trans. Medical Imaging, 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)

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 (Bildverarbeitung für die Medizin, 2022)

Efficient DICOM Image Tagging and Cohort Curation Within Kaapana. - Klaus Kades; Jonas Scherer; Jan Scholtyssek; Tobias Penzkofer; Marco Nolden; Klaus H. Maier-Hein (Bildverarbeitung für die Medizin, 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 (Bildverarbeitung für die Medizin, 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 (Bildverarbeitung für die Medizin, 2022)

Unsupervised Anomaly Detection in the Wild. - David Zimmerer; Daniel Paech; Carsten T. Lüth; Jens Petersen; Gregor Köhler; Klaus H. Maier-Hein (Bildverarbeitung für die Medizin, 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 002; Klaus H. Maier-Hein; Jens Kleesiek; Rainer Stiefelhagen (BMVC, 2022)

Accurate Detection of Mediastinal Lesions with nnDetection. - Michael Baumgartner 001; Peter M. Full; Klaus H. Maier-Hein (CuRIOUS/KiPA/MELA@MICCAI, 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 (MOVI@MICCAI, 2022)

Towards Real-World Federated Learning in Medical Image Analysis Using Kaapana. - Klaus Kades; Jonas Scherer; Maximilian Zenk; Marius Kempf; Klaus H. Maier-Hein (DeCaF/FAIR@MICCAI, 2022)

A Noisy nnU-Net Student for Semi-supervised Abdominal Organ Segmentation. - Gregor Köhler; Fabian Isensee; Klaus H. Maier-Hein (FLARE@MICCAI, 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; et al. (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 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)

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; et al. (Medical Image Anal., 2022)

Rapid artificial intelligence solutions in a pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge. - Holger R. Roth; Ziyue Xu 001; Carlos Tor-Díez; Ramon Sánchez-Jacob; Jonathan Zember; Jose Molto; Wenqi Li 001; Sheng Xu 001; Baris Turkbey; Evrim Turkbey; Dong Yang 005; Ahmed Harouni; et al. (Medical Image Anal., 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 002; Tim Adler; Jens Petersen; Gregor Köhler; Tobias Roß; Annika Reinke; Antanas Kascenas; Bjørn Sand Jensen; Alison Q. O'Neil; et al. (IEEE Trans. Medical Imaging, 2022)

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 (Bildverarbeitung für die Medizin, 2023)

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)

Extending nnU-Net Is All You Need. - Fabian Isensee; Constantin Ulrich; Tassilo Wald; Klaus H. Maier-Hein (Bildverarbeitung für die Medizin, 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 (Bildverarbeitung für die Medizin, 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 (Bildverarbeitung für die Medizin, 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 (Bildverarbeitung für die Medizin, 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; et al. (Bildverarbeitung für die Medizin, 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 002; Tim Adler; Jens Petersen; Gregor Köhler; Tobias Roß; Annika Reinke; Antanas Kascenas; Bjørn Sand Jensen; Alison Q. O'Neil; et al. (Bildverarbeitung für die Medizin, 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; et al. (CVPR, 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 (MICCAI (5), 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; et al. (MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI, 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 (DEMI@MICCAI, 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 (MICCAI (7), 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)

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 (MICCAI (8), 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)

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 (MLMI@MICCAI (2), 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)

[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)

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)

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)

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)

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)

The Liver Tumor Segmentation Benchmark (LiTS). - Patrick Bilic; Patrick Ferdinand Christ; Hongwei Li 004; Eugene Vorontsov; Avi Ben-Cohen; Georgios Kaissis; Adi Szeskin; Colin Jacobs; Gabriel Efrain Humpire Mamani; Gabriel Chartrand; Fabian Lohöfer; Julian Walter Holch; et al. (Medical Image Anal., 2023)

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 (Bildverarbeitung für die Medizin, 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; et al. (Bildverarbeitung für die Medizin, 2024)

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: 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 (Bildverarbeitung für die Medizin, 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 (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)

Harmonized Import of Clinical Research Data for the Open Source Image Analysis Platform Kaapana. - Lucas Kulla; Philipp Schader; Klaus H. Maier-Hein; Marco Nolden (Bildverarbeitung für die Medizin, 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 (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)

Segment Anything in Medical Images with nnUNet. - Raphael Stock; Yannick Kirchhoff; Maximilian Rokuss; Ashis Ravindran; Klaus H. Maier-Hein (MedSAM@CVPR, 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 (ECCV (77), 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 (ICLR, 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 (LDTM/MMMI/ML4MHD/ML-CDS@MICCAI, 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 (MOVI@MICCAI, 2024)

Scaling nnU-Net for CBCT Segmentation. - Fabian Isensee; Yannick Kirchhoff; Lars Krämer; Maximilian Rokuss; Constantin Ulrich; Klaus H. Maier-Hein (ToothFairy/3DTeethLand/STS@MICCAI, 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)

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 (DIAMOND/MARIO@MICCAI, 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 (HNTS-MRG@MICCAI, 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 (FLARE@MICCAI, 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 (FLARE@MICCAI, 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 (FLARE@MICCAI, 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 (LDTM/MMMI/ML4MHD/ML-CDS@MICCAI, 2024)

Beyond Heatmaps: A Comparative Analysis of Metrics for Anomaly Localization in Medical Images. - David Zimmerer; Klaus H. Maier-Hein (UNSURE@MICCAI, 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)

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 (WACV, 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)

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)

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)

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)

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 010; Yanfeng Wang 001; Yaojun Hu; et al. (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; et al. (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)

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)

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)

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)

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)

RadioActive: 3D Radiological Interactive Segmentation Benchmark. - Constantin Ulrich; Tassilo Wald; Emily Tempus; Maximilian Rokuss; Paul F. Jaeger; 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 001; Alexander Muckenhuber; Silvia Dias Almeida; Michael Götz; et al. (CoRR, 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)

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 002; Yanfeng Wang 001; Yaojun Hu; et al. (Medical Image Anal., 2024)

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 (Bildverarbeitung für die Medizin, 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 (Bildverarbeitung für die Medizin, 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; et al. (Bildverarbeitung für die Medizin, 2025)

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)

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 (Bildverarbeitung für die Medizin, 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 (Bildverarbeitung für die Medizin, 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 (Bildverarbeitung für die Medizin, 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 (Bildverarbeitung für die Medizin, 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 (CVPR, 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 (CVPR, 2025)

ReSi: A Comprehensive Benchmark for Representational Similarity Measures. - Max Klabunde; Tassilo Wald; Tobias Schumacher 002; Klaus H. Maier-Hein; Markus Strohmaier; Florian Lemmerich (ICLR, 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 (WACV, 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)

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 002; Nicolai R. Krekiehn; Manuel Nickel; Richard Ruppel; Marcus Both; et al. (J. Am. Medical Informatics Assoc., 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 001; Yaoyang Qiu; Panjie Gou; Gongping Chen; et al. (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 001; Yaoyang Qiu; Panjie Gou; Gongping Chen; et al. (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 003; Yong Xia 001; Yanzhou Su; et al. (Medical Image Anal., 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)

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)

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)

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 004; Qi Chen; Xiaowei Xu; Xiaoxi Chen; Lizhou Wu; et al. (CoRR, 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)

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, 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)

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; et al. (CoRR, 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; et al. (CoRR, 2025)

Large Scale Supervised Pretraining For Traumatic Brain Injury Segmentation. - Constantin Ulrich; Tassilo Wald; Fabian Isensee; Klaus H. Maier-Hein (CoRR, 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, 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 003; Tao Yang 037; et al. (IEEE Trans. Medical Imaging, 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)

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, 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, 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, 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; et al. (CoRR, 2025)