Sparse Representation Learning for Vessels
C. Prabhakar, B. Wittmann, P. Büschl, H. B. Li, B. Menze, and S. Shit.
Selected Publications
VesselTok: Tokenizing Vessel-like 3D Biomedical Graph Representations for Reconstruction and Generation
C. Prabhakar, B. Wittmann, T. Amiranashvili, P. Büschl, E. de la Rosa, J. McGinnis, B. Wiestler, B. Menze, and S. Shit.
Semantically Consistent Discrete Diffusion for 3D Biological Graph Modeling
C. Prabhakar, S. Shit, T. Amiranashvili, H. B. Li, and B. Menze.
Vit-AE++: Improving Vision Transformer Autoencoder for Self-Supervised Medical Image Representations
C. Prabhakar, H. Li, J. Yang, S. Shit, B. Wiestler, and B. Menze.
3D Vessel Graph Generation Using Denoising Diffusion
C. Prabhakar, S. Shit, F. Musio, et al.
VesselFormer: Towards Complete 3D Vessel Graph Generation from Images
C. Prabhakar, S. Shit, J. C. Paetzold, et al.
Self-Pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR Images
C. Prabhakar, H. B. Li, J. C. Paetzold, et al.
Structured Knowledge Graphs for Classifying Unseen Patterns in Radiographs
C. Prabhakar, A. Sekuboyina, H. B. Li, et al.
Education
2021 – present
Ph.D., University of Zurich, Switzerland
Department of Quantitative Biomedicine
2017 – 2020
M.Sc. Informatics, Technical University of Munich, Germany
Thesis: Natural Language Based 3D Object Localization in Volumetric Grids.
2010 – 2014
B.E. Computer Science, BIT Mesra, Ranchi, India
Industry Experience
2018 – 2019
Software Developer (Work Student), Intel
Munich, Germany
2014 – 2017
Analyst-System Developer, Verizon Data Services
Hyderabad, India
Service & Miscellaneous
2024 – 2025
Co-organizer
TopCoW and TopBrain MICCAI challenges
2022
Tutor
EXCITE Summer School — Applications of Machine Learning in Medical Domain