Anne-Marie Rickmann

According to our database, Anne-Marie Rickmann authored at least 16 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Vertex Correspondence and Self-Intersection Reduction in Cortical Surface Reconstruction.

Anne-Marie Rickmann, Fabian Bongratz, Christian Wachinger

IEEE Trans. Medical Imaging, August, 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

CoRR, March, 2025

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

Proceedings of the Functional Imaging and Modeling of the Heart, 2025

2024

Neural deformation fields for template-based reconstruction of cortical surfaces from MRI.

Fabian Bongratz, Anne-Marie Rickmann, Christian Wachinger

Medical Image Anal., 2024

V2C-Long: Longitudinal Cortex Reconstruction with Spatiotemporal Correspondence.

Fabian Bongratz, Jan Fecht, Anne-Marie Rickmann, Christian Wachinger

CoRR, 2024

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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Meshes Meet Voxels: Abdominal Organ Segmentation via Diffeomorphic Deformations.

Fabian Bongratz, Anne-Marie Rickmann, Christian Wachinger

CoRR, 2023

Vertex Correspondence in Cortical Surface Reconstruction.

Anne-Marie Rickmann, Fabian Bongratz, Christian Wachinger

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

HALOS: Hallucination-Free Organ Segmentation After Organ Resection Surgery.

Anne-Marie Rickmann, Murong Xu, Tom Nuno Wolf, Oksana P. Kovalenko, Christian Wachinger

Proceedings of the Information Processing in Medical Imaging, 2023

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

Joint Reconstruction and Parcellation of Cortical Surfaces.

Anne-Marie Rickmann, Fabian Bongratz, Sebastian Pölsterl, Ignacio Sarasua, Christian Wachinger

Proceedings of the Machine Learning in Clinical Neuroimaging - 5th International Workshop, 2022

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

STRUDEL: Self-training with Uncertainty Dependent Label Refinement Across Domains.

Fabian Gröger, Anne-Marie Rickmann, Christian Wachinger

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

2020

Recalibrating 3D ConvNets With Project & Excite.

Anne-Marie Rickmann, Abhijit Guha Roy, Ignacio Sarasua, Christian Wachinger

IEEE Trans. Medical Imaging, 2020

Importance Driven Continual Learning for Segmentation Across Domains.

Sinan Özgür Özgün, Anne-Marie Rickmann, Abhijit Guha Roy, Christian Wachinger

Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

2019

'Project & Excite' Modules for Segmentation of Volumetric Medical Scans.

Anne-Marie Rickmann, Abhijit Guha Roy, Ignacio Sarasua, Nassir Navab, Christian Wachinger

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019