Fabian Bongratz

About me:

I am a PhD student interested in medical image segmentation, 3D reconstruction, and shape analysis. My ultimate goal is to bring intelligent and robust algorithms into clinical practice. Before joining AI-Med, I completed the Master’s program Robotics, Cognition, Intelligence at TUM.

E-mail: fabi.bongratz@tum.de

Profiles: LinkedIn; GitHub

 

 

Research interests:

  • Medical Image Analysis
  • Image Segmentation
  • Geometric Deep Learning
  • 3D Reconstruction
  • Shape Analysis

Publications:

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

Keep the Faith: Faithful Explanations in Convolutional Neural Networks for Case-Based Reasoning Proceedings Article Forthcoming

In: AAAI Conference on Artificial Intelligence, 2024, Forthcoming.

Abstract | Links | BibTeX

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

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

In: Medical Image Analysis, vol. 93, pp. 103093, 2024, ISSN: 1361-8415.

Abstract | Links | BibTeX

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

Abdominal organ segmentation via deep diffeomorphic mesh deformations Journal Article

In: Scientific Reports, vol. 13, no. 1, 2023.

Abstract | Links | BibTeX

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

Vertex Correspondence in Cortical Surface Reconstruction Conference

Medical Image Computing and Computer Assisted Intervention -- MICCAI 2023, vol. 14227, Springer Nature Switzerland, Cham, 2023, ISBN: 978-3-031-43993-3.

Abstract | Links | BibTeX

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

Joint Reconstruction and Parcellation of Cortical Surfaces Proceedings Article

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

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 Proceedings Article

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

Abstract | Links | BibTeX