Anne-Marie Rickmann

PhD Candidate

I joined AI-Med as a PhD student in June 2019. My research focuses on developing Machine Learning solutions for Medical Image Analysis with a focus on segmentation.

Previously I completed my master’s degree in Biomedical Computing at TUM and worked on my Master Thesis at AI-Med.


E-mail: annemarie.rickmann [at], Annemarie.Rickmann [at]



Research Interests:

  • Medical Image Segmentation
  • 3D Convolutional Neural Networks

For students interested in doing a Master Thesis on medical image segmentation, please see this open project.


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

HALOS: Hallucination-free Organ Segmentation after Organ Resection Surgery Inproceedings Forthcoming

In: IPMI: International Conference on Information Processing in Medical Imaging 2023, Forthcoming.

Abstract | Links | BibTeX

Rickmann, Anne-Marie; Bongratz, Fabian; P"olsterl, Sebastian; Sarasua, Ignacio; Wachinger, Christian

Joint Reconstruction and Parcellation of Cortical Surfaces Inproceedings

In: International Workshop on Machine Learning in Clinical Neuroimaging, pp. 3–12, Springer, 2022.

Links | BibTeX

Rickmann, Anne-Marie; Senapati, Jyotirmay; Kovalenko, Oksana; Peters, Annette; Bamberg, Fabian; Wachinger, Christian

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

In: BMC Medical Imaging, vol. 22, no. 168, 2022.

Abstract | Links | BibTeX

Bongratz, Fabian; Rickmann, Anne-Marie; Pölsterl, Sebastian; Wachinger, Christian

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

In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

Abstract | Links | BibTeX

Gröger, Fabian; Rickmann, Anne-Marie; Wachinger, Christian

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

Machine Learning in Medical Imaging (MLMI), 2021.

Abstract | Links | BibTeX

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

Importance Driven Continual Learning for Segmentation Across Domains Inproceedings

In: Liu, Mingxia; Yan, Pingkun; Lian, Chunfeng; Cao, Xiaohuan (Ed.): Machine Learning in Medical Imaging, pp. 423–433, Springer International Publishing, Cham, 2020, ISBN: 978-3-030-59861-7.

Abstract | Links | BibTeX

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

Recalibrating 3D ConvNets with Project & Excite Journal Article

In: IEEE Transactions on Medical Imaging, 2020.

Links | BibTeX

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

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

In: Medical Image Computing and Computer Aided Intervention, Springer, 2019.

Abstract | Links | BibTeX