Temporal Feature Networks for CNN based Object Detection. - Michael Weber 009; Tassilo Wald; J. Marius Zöllner (IV, 2021)

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: 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)

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)

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)

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)

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: 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: 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)

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)

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)

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)

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)

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)

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)

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)

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)