Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

Suprosanna Shit

Image-Based Biomedical Modeling Group (IBBM)
Ph.D. Student, Trabit Fellow
Advisor: Prof. Dr. Bjoern Menze

Fakultät für Informatik
Technische Universität München

Office: TranslaTUM Room No. 22.2.34 / IMETUM

: 089 4140 9101

Find me on Linkedin
Find me on Google Scholar
GitHub Repository

Research Interests

  • Physics Motivated Deep Learning: Deep learning to solve inverse problems in pysics.
  • Medical Image Analysis: Analysis of 4D flow MRI.
  • Generative Modelling: Adversarial learning to model physical processes.
  • Baysian Deep learning: Uncertainty quantification in deep learning.

Student Projects

We are inviting applications for several exciting research opportunities for Master students with our group. Please also feel free to reach out if you are interested in a Bachelor thesis, research project, etc. The projects are intended for students in Informatics, Electrical Engineering, or related fields. Currently, active projects include but not limited to:


J. Paetzold, M.I.Todorov, O. Schoppe, G. Tetteh, S. Shit, B. Menze, A. Ertuerk
Machine learning analysis of whole mouse brain vasculature.
Nature Methods volume 17, pages442-449 (2020) (bib)
J. Paetzold, S. Shit, I. Ezhov, G. Tetteh, A. Ertuerk, B. Menze
clDice-a Novel Connectivity-Preserving Loss Function for Vessel Segmentation
Medical Imaging Meets NeurIPS? 2019 (Workshop), Vancouver, Canada, December 2019. (bib)
F. Navarro, S. Shit, I. Ezhov, J. Paetzold, A. Gafita, J. Peeken, S. Combs, B. Menze
Shape-Aware Complementary-Task Learning for Multi-Organ Segmentation
Proceedings of the 10th International Workshop on Machine Learning in Medical Imaging (MLMI 2019), Shenzhen, China, October 2019. (bib)
I. Ezhov, J. Lipkova, S. Shit, F. Kofler, N. Collomb, B. Lemasson, E. Barbier, B. Menze
Neural parameters estimation for brain tumor growth modeling
Proceedings of the 22th International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Shenzhen, China, October 2019. (bib)

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