Spatial-Frequency Non-local Convolutional LSTM Network for pRCC Classification. - Yu Zhao 009; Yuan Liu; Yansheng Kan; Anjany Sekuboyina; Diana Waldmannstetter; Hongwei Li 004; Xiaobin Hu; Xiaozhi Zhao; Kuangyu Shi; Bjoern H. Menze (MICCAI (6), 2019)

Deep Reinforcement Learning for Organ Localization in CT. - Fernando Navarro; Anjany Sekuboyina; Diana Waldmannstetter; Jan C. Peeken; Stephanie E. Combs; Bjoern H. Menze (MIDL, 2020)

Deep learning-based parameter mapping for joint relaxation and diffusion tensor MR Fingerprinting. - Carolin M. Pirkl; Pedro A. Gómez; Ilona Lipp; Guido Buonincontri; Miguel Molina-Romero; Anjany Sekuboyina; Diana Waldmannstetter; Jonathan Dannenberg; Sebastian Endt; Alberto Merola; Joseph R. Whittaker; Valentina Tomassini; et al. (MIDL, 2020)

Reinforced Redetection of Landmark in Pre- and Post-operative Brain Scan Using Anatomical Guidance for Image Alignment. - Diana Waldmannstetter; Fernando Navarro; Benedikt Wiestler; Jan S. Kirschke; Anjany Sekuboyina; Ester Molero; Bjoern H. Menze (WBIR, 2020)

Coarse-to-Fine Adversarial Networks and Zone-Based Uncertainty Analysis for NK/T-Cell Lymphoma Segmentation in CT/PET Images. - Xiaobin Hu; Rui Guo; Jieneng Chen; Hongwei Li 004; Diana Waldmannstetter; Yu Zhao 009; Biao Li; Kuangyu Shi; Bjoern H. Menze (IEEE J. Biomed. Health Informatics, 2020)

Residual learning for 3D motion corrected quantitative MRI: Robust clinical T1, T2 and proton density mapping. - Carolin M. Pirkl; Matteo Cencini; Jan W. Kurzawski; Diana Waldmannstetter; Hongwei Li 004; Anjany Sekuboyina; Sebastian Endt; Luca Peretti; Graziella Donatelli; Rosa Pasquariello; Michela Tosetti; Mauro Costagli; et al. (MIDL, 2021)

The Brain Tumor Sequence Registration Challenge: Establishing Correspondence between Pre-Operative and Follow-up MRI scans of diffuse glioma patients. - Bhakti Baheti; Diana Waldmannstetter; Satrajit Chakrabarty; Hamed Akbari; Michel Bilello; Benedikt Wiestler; Julian Schwarting; Evan Calabrese; Jeffrey D. Rudie; Syed Amaan Abidi; Mina Mousa; Javier E. Villanueva-Meyer; et al. (CoRR, 2021)

Learning residual motion correction for fast and robust 3D multiparametric MRI. - Carolin M. Pirkl; Matteo Cencini; Jan W. Kurzawski; Diana Waldmannstetter; Hongwei Li 004; Anjany Sekuboyina; Sebastian Endt; Luca Peretti; Graziella Donatelli; Rosa Pasquariello; Mauro Costagli; Guido Buonincontri; et al. (Medical Image Anal., 2022)

Primitive Simultaneous Optimization of Similarity Metrics for Image Registration. - Diana Waldmannstetter; Benedikt Wiestler; Julian Schwarting; Ivan Ezhov; Marie Metz; Spyridon Bakas; Bhakti Baheti; Satrajit Chakrabarty; Daniel Rueckert; Jan S. Kirschke; Rolf A. Heckemann; Marie Piraud; et al. (BrainLes/SWITCH@MICCAI, 2023)

Primitive Simultaneous Optimization of Similarity Metrics for Image Registration. - Diana Waldmannstetter; Florian Kofler; Benedikt Wiestler; Julian Schwarting; Ivan Ezhov; Marie Metz; Daniel Rueckert; Jan S. Kirschke; Marie Piraud; Bjoern H. Menze (CoRR, 2023)

The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting. - Florian Kofler; Felix Meissen; Felix Steinbauer; Robert Graf; Eva Oswald; Ezequiel de la Rosa; Hongwei Bran Li; Ujjwal Baid; Florian A. Hölzl; Özgün Turgut; Izabela Horvath; Diana Waldmannstetter; et al. (CoRR, 2023)

Framing image registration as a landmark detection problem for better representation of clinical relevance. - Diana Waldmannstetter; Benedikt Wiestler; Julian Schwarting; Ivan Ezhov; Marie Metz; Spyridon Bakas; Bhakti Baheti; Satrajit Chakrabarty; Jan S. Kirschke; Rolf A. Heckemann; Marie Piraud; Florian Kofler; et al. (CoRR, 2023)

Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA. - Kaiyuan Yang 003; Fabio Musio; Yihui Ma; Norman Juchler; Johannes C. Paetzold; Rami Al-Maskari; Luciano Höher; Hongwei Bran Li; Ibrahim Ethem Hamamci; Anjany Sekuboyina; Suprosanna Shit; Houjing Huang; et al. (CoRR, 2023)

Learn-Morph-Infer: A new way of solving the inverse problem for brain tumor modeling. - Ivan Ezhov; Kevin Scibilia; Katharina Franitza; Felix Steinbauer; Suprosanna Shit; Lucas Zimmer; Jana Lipková; Florian Kofler; Johannes C. Paetzold; Luca Canalini; Diana Waldmannstetter; Martin J. Menten; et al. (Medical Image Anal., 2023)

QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge. - Hongwei Bran Li; Fernando Navarro; Ivan Ezhov; Amirhossein Bayat; Dhritiman Das; Florian Kofler; Suprosanna Shit; Diana Waldmannstetter; Johannes C. Paetzold; Xiaobin Hu; Benedikt Wiestler; Lucas Zimmer; et al. (CoRR, 2024)

Brain Tumor Sequence Registration (BraTS-Reg) Challenge Dataset. - Bhakti Baheti; Satrajit Chakrabarty; Hamed Akbari; Michel Bilello; Benedikt Wiestler; Julian Schwarting; Evan Calabrese; Jeffrey D. Rudie; Syed Amaan Abidi; Mina Mousa; Javier E. Villanueva-Meyer; Brandon K. K. Fields; et al. (Zenodo, 2025)