Anne-Marie Rickmann

AbdomenNet: deep neural network for abdominal organ segmentation in epidemiologic imaging studies

F. Bamberg, C. Wachinger, Annette Peters, 2022, BMC Medical Imaging.

Vox2Cortex: Fast Explicit Reconstruction of Cortical Surfaces from 3D MRI Scans with Geometric Deep Neural Networks

C. Wachinger, Sebastian Pölsterl, Anne-Marie Rickmann, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Importance Driven Continual Learning for Segmentation Across Domains pdf

Christian Wachinger, Anne-Marie Rickmann, Abhijit Guha Roy, 2020, MLMI@MICCAI.

STRUDEL: Self-Training with Uncertainty Dependent Label Refinement across Domains

Christian Wachinger, Anne-Marie Rickmann, Fabian Gröger, 2021, MLMI@MICCAI.

Joint Reconstruction and Parcellation of Cortical Surfaces

C. Wachinger, Sebastian Pölsterl, Ignacio Sarasua, 2022, MLCN@MICCAI.

HALOS: Hallucination-free Organ Segmentation after Organ Resection Surgery

Tom Nuno Wolf, C. Wachinger, Anne-Marie Rickmann, 2023, IPMI.