'Project & Excite' Modules for Segmentation of Volumetric Medical Scans. - Anne-Marie Rickmann; Abhijit Guha Roy; Ignacio Sarasua; Nassir Navab; Christian Wachinger (MICCAI (2), 2019)

Importance Driven Continual Learning for Segmentation Across Domains. - Sinan Özgür Özgün; Anne-Marie Rickmann; Abhijit Guha Roy; Christian Wachinger (MLMI@MICCAI, 2020)

Recalibrating 3D ConvNets With Project & Excite. - Anne-Marie Rickmann; Abhijit Guha Roy; Ignacio Sarasua; Christian Wachinger (IEEE Trans. Medical Imaging, 2020)

STRUDEL: Self-training with Uncertainty Dependent Label Refinement Across Domains. - Fabian Gröger; Anne-Marie Rickmann; Christian Wachinger (MLMI@MICCAI, 2021)

Vox2Cortex: Fast Explicit Reconstruction of Cortical Surfaces from 3D MRI Scans with Geometric Deep Neural Networks. - Fabian Bongratz; Anne-Marie Rickmann; Sebastian Pölsterl; Christian Wachinger (CVPR, 2022)

Joint Reconstruction and Parcellation of Cortical Surfaces. - Anne-Marie Rickmann; Fabian Bongratz; Sebastian Pölsterl; Ignacio Sarasua; Christian Wachinger (MLCN@MICCAI, 2022)

AbdomenNet: deep neural network for abdominal organ segmentation in epidemiologic imaging studies. - Anne-Marie Rickmann; Jyotirmay Senapati; Oksana P. Kovalenko; Annette Peters; Fabian Bamberg; Christian Wachinger (BMC Medical Imaging, 2022)

HALOS: Hallucination-Free Organ Segmentation After Organ Resection Surgery. - Anne-Marie Rickmann; Murong Xu; Tom Nuno Wolf; Oksana P. Kovalenko; Christian Wachinger (IPMI, 2023)

Vertex Correspondence in Cortical Surface Reconstruction. - Anne-Marie Rickmann; Fabian Bongratz; Christian Wachinger (MICCAI (8), 2023)

Meshes Meet Voxels: Abdominal Organ Segmentation via Diffeomorphic Deformations. - Fabian Bongratz; Anne-Marie Rickmann; Christian Wachinger (CoRR, 2023)

Keep the Faith: Faithful Explanations in Convolutional Neural Networks for Case-Based Reasoning. - Tom Nuno Wolf; Fabian Bongratz; Anne-Marie Rickmann; Sebastian Pölsterl; Christian Wachinger (AAAI, 2024)

V2C-Long: Longitudinal Cortex Reconstruction with Spatiotemporal Correspondence. - Fabian Bongratz; Jan Fecht; Anne-Marie Rickmann; Christian Wachinger (CoRR, 2024)

Neural deformation fields for template-based reconstruction of cortical surfaces from MRI. - Fabian Bongratz; Anne-Marie Rickmann; Christian Wachinger (Medical Image Anal., 2024)

Using Foundation Models as Pseudo-label Generators for Pre-clinical 4D Cardiac CT Segmentation. - Anne-Marie Rickmann; Stephanie Thorn; Shawn S. Ahn; Supum Lee; Selen Uman; Taras Lysyy; Rachel Burns; Nicole Guerrera; Francis G. Spinale; Jason A. Burdick; Albert J. Sinusas; James S. Duncan (FIMH (2), 2025)

Progressive Test Time Energy Adaptation for Medical Image Segmentation. - Xiaoran Zhang; Byung-Woo Hong; Hyoungseob Park; Daniel H. Pak; Anne-Marie Rickmann; Lawrence H. Staib; James S. Duncan; Alex Wong 001 (CoRR, 2025)

Vertex Correspondence and Self-Intersection Reduction in Cortical Surface Reconstruction. - Anne-Marie Rickmann; Fabian Bongratz; Christian Wachinger (IEEE Trans. Medical Imaging, 2025)