Anne-Marie Rickmann

According to our database, Anne-Marie Rickmann authored at least 13 papers between 2019 and 2024.

Collaborative distances:

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

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