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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

Challenges and Opportunities of End-to-End Learning in Medical Image Classification - Paul F. Jäger (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)

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

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)

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)

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)

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)

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)

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)

Improving Explainability of Disentangled Representations using Multipath-Attribution Mappings. - Lukas Klein; João B. S. Carvalho; Mennatallah El-Assady; Paolo Penna; Joachim M. Buhmann; Paul F. Jaeger (MIDL, 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)

From Correlation to Causation: Formalizing Interpretable Machine Learning as a Statistical Process. - Lukas Klein; Mennatallah El-Assady; Paul F. Jäger (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)

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)

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: 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)

A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification. - Paul F. Jaeger; Carsten T. Lüth; Lukas Klein; Till J. Bungert (ICLR, 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)

Understanding Silent Failures in Medical Image Classification. - Till J. Bungert; Levin Kobelke; Paul F. Jäger (MICCAI (3), 2023)

Deployment of Image Analysis Algorithms Under Prevalence Shifts. - Patrick Godau; Piotr Kalinowski; Evangelia Christodoulou; Annika Reinke; Minu Tizabi; Luciana Ferrer; Paul F. Jäger; Lena Maier-Hein (MICCAI (3), 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)

Navigating the Pitfalls of Active Learning Evaluation: A Systematic Framework for Meaningful Performance Assessment. - Carsten T. Lüth; Till J. Bungert; Lukas Klein; Paul F. Jaeger (NeurIPS, 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)

Toward Realistic Evaluation of Deep Active Learning Algorithms in Image Classification. - Carsten T. Lüth; Till J. Bungert; Lukas Klein; Paul F. Jaeger (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)

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: 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: Understanding Silent Failures in Medical Image Classification. - Till J. Bungert; Levin Kobelke; Paul F. Jaeger (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)

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)

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)

Confidence Intervals Uncovered: Are We Ready for Real-World Medical Imaging AI? - Evangelia Christodoulou; Annika Reinke; Rola Houhou; Piotr Kalinowski; Selen Erkan; Carole H. Sudre; Ninon Burgos; Sofiène Boutaj; Sophie Loizillon; Maëlys Solal; Nicola Rieke; Veronika Cheplygina; et al. (MICCAI (10), 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)

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)

Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics. - Lukas Klein; Carsten T. Lüth; Udo Schlegel; Till J. Bungert; Mennatallah El-Assady; Paul F. Jaeger (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)

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)

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)

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)

Why context matters in VQA and Reasoning: Semantic interventions for VLM input modalities. - Kenza Amara; Lukas Klein; Carsten T. Lüth; Paul Jäger 002; Hendrik Strobelt; Mennatallah El-Assady (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)

Metrics Reloaded: A framework for trustworthy image analysis validation. - Ali Emre Kavur; Annika Reinke; Paul F. Jäger; Fabian Isensee; Tim Rädsch; Minu Dietlinde Tizabi; Lena Maier-Hein (Zenodo, 2024)

Deep Interactive Segmentation of Medical Images: A Systematic Review and Taxonomy. - Zdravko Marinov; Paul F. Jäger; Jan Egger; Jens Kleesiek; Rainer Stiefelhagen (IEEE Trans. Pattern Anal. Mach. Intell., 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)

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)

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)

Application-driven validation of posteriors in inverse problems. - Tim J. Adler; Jan-Hinrich Nölke; Annika Reinke; Minu Dietlinde Tizabi; Sebastian Gruber 001; Dasha Trofimova; Lynton Ardizzone; Paul F. Jaeger; Florian Buettner 001; Ullrich Köthe; Lena Maier-Hein (Medical Image Anal., 2025)

Navigating prevalence shifts in image analysis algorithm deployment. - Patrick Godau; Piotr Kalinowski; Evangelia Christodoulou; Annika Reinke; Minu Tizabi; Luciana Ferrer; Paul Jäger 002; Lena Maier-Hein (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)

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)

TxGemma: Efficient and Agentic LLMs for Therapeutics. - Eric Wang; Samuel Schmidgall; Paul F. Jaeger; Fan Zhang; Rory Pilgrim; Yossi Matias; Joelle K. Barral; David J. Fleet; Shekoofeh Azizi (CoRR, 2025)