Relaxation-compensated CEST-MRI of the human brain at 7 T: Unbiased insight into NOE and amide signal changes in human glioblastoma. - Moritz Zaiss; Johannes Windschuh; Daniel Paech; Jan-Eric Meissner; Sina Burth; Benjamin Schmitt; Philip Kickingereder; Benedikt Wiestler; Wolfgang Wick; Martin Bendszus; Heinz-Peter Schlemmer; Mark E. Ladd; et al. (NeuroImage, 2015)

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)

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)

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

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)

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)

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)

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)

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)

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: 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)

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)

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)

Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge. - Dominic LaBella; Ujjwal Baid; Omaditya Khanna; Shan McBurney-Lin; Ryan McLean; Pierre Nedelec; Arif Rashid; Nourel Hoda Tahon; Talissa Altes; Radhika Bhalerao; Yaseen Dhemesh; Devon Godfrey; et al. (CoRR, 2024)

The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI. - Maria Correia de Verdier; Rachit Saluja; Louis Gagnon; Dominic LaBella; Ujjwal Baid; Nourel Hoda Tahon; Martha Foltyn-Dumitru; Jikai Zhang; Maram Alafif; Saif Baig; Ken Chang; Gennaro D'Anna; et al. (CoRR, 2024)

Brain Tumor Segmentation (BraTS) Challenge 2024: Meningioma Radiotherapy Planning Automated Segmentation. - Dominic LaBella; Katherine Schumacher; Michael Mix; Kevin Leu; Shan McBurney-Lin; Pierre Nedelec; Javier E. Villanueva-Meyer; Jonathan Shapey; Tom Vercauteren; Kazumi Chia; Omar Al-Salihi; Justin Leu; et al. (CoRR, 2024)

Efficient MedSAMs: Segment Anything in Medical Images on Laptop. - Jun Ma 016; Feifei Li 010; Sumin Kim; Reza Asakereh; Bao-Hiep Le; Dang-Khoa Nguyen-Vu; Alexander Pfefferle; Muxin Wei; Ruochen Gao; Donghang Lyu; Songxiao Yang; Lennart Purucker; et al. (CoRR, 2024)

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)

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)

OHIF -SAM2: Accelerating Radiology Workflows with Meta Segment Anything Model 2. - Jaeyoung Cho; Aditya Rastogi; Jingyu Liu; Kai Schlamp; Philipp Vollmuth (ISBI, 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)