Extending nnU-Net Is All You Need. - Fabian Isensee; Constantin Ulrich; Tassilo Wald; Klaus H. Maier-Hein (Bildverarbeitung für die Medizin, 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)

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: 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: 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)

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)

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)

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)

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)

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)

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)

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)

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: 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)

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)

ScaleMAI: Accelerating the Development of Trusted Datasets and AI Models. - Wenxuan Li; Pedro R. A. S. Bassi; Tianyu Lin; Yu-Cheng Chou; Xinze Zhou; Yucheng Tang; Fabian Isensee; Kang Wang; Qi Chen; Xiaowei Xu; Xiaoxi Chen; Lizhou Wu; 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)

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)

Large Scale Supervised Pretraining For Traumatic Brain Injury Segmentation. - Constantin Ulrich; Tassilo Wald; Fabian Isensee; Klaus H. Maier-Hein (CoRR, 2025)