Chinmay Prabhakar

According to our database, Chinmay Prabhakar authored at least 21 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Sparse Representation Learning for Vessels.

Chinmay Prabhakar, Bastian Wittmann, Paul Büschl, Hongwei Bran Li, Bjoern Menze, Suprosanna Shit

CoRR, May, 2026

Graph Energy Matching: Transport-Aligned Energy-Based Modeling for Graph Generation.

Michal Balcerak, Suprosana Shit, Chinmay Prabhakar, Sebastian Kaltenbach, Michael S. Albergo, Yilun Du, Bjoern Menze

CoRR, March, 2026

VesselTok: Tokenizing Vessel-like 3D Biomedical Graph Representations for Reconstruction and Generation.

Chinmay Prabhakar, Bastian Wittmann, Tamaz Amiranashvili, Paul Büschl, Ezequiel de la Rosa, Julian McGinnis, Benedikt Wiestler, Bjoern Menze, Suprosanna Shit

CoRR, March, 2026

Progidiff: Prompt-Guided Diffusion-Based Medical Image Segmentation.

Yuan Lin, Murong Xu, Marc Hölle, Chinmay Prabhakar, Andreas K. Maier, Vasileios Belagiannis, Bjoern Menze, Suprosanna Shit

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

Circle of Willis Centerline Graphs: A Dataset and Baseline Algorithm.

Fabio Musio, Norman Juchler, Kaiyuan Yang, Suprosanna Shit, Chinmay Prabhakar, Bjoern H. Menze, Sven Hirsch

CoRR, October, 2025

Circle of Willis Centerline Graphs and Morphometric Features.

Fabio Musio, Norman Juchler, Kaiyuan Yang, Suprosanna Shit, Chinmay Prabhakar, Bjoern Menze, Sven Hirsch

Dataset, October, 2025

Semantically Consistent Discrete Diffusion for 3D Biological Graph Modeling.

Chinmay Prabhakar, Suprosanna Shit, Tamaz Amiranashvili, Hongwei Bran Li, Bjoern H. Menze

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

2024

QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge.

Hongwei Bran Li, Fernando Navarro, Ivan Ezhov, Amirhossein Bayat, Dhritiman Das, Florian Kofler, Suprosanna Shit, Diana Waldmannstetter, Johannes C. Paetzold, Xiaobin Hu, Benedikt Wiestler, Lucas Zimmer, Tamaz Amiranashvili, Chinmay Prabhakar, Christoph Berger, Jonas Weidner, Michelle Alonso-Basanta, Arif Rashid, Ujjwal Baid, Wesam Adel, Deniz Alis, Bhakti Baheti, Yingbin Bai, Ishaan Bhat, Sabri Can Cetindag, Wenting Chen, Li Cheng, Prasad Dutande, Lara Dular, Mustafa A. Elattar, Ming Feng, Shengbo Gao, Henkjan Huisman, Weifeng Hu, Shubham Innani, Wei Jiat, Davood Karimi, Hugo J. Kuijf, Jin Tae Kwak, Hoang Long Le, Xiang Lia, Huiyan Lin, Tongliang Liu, Jun Ma, Kai Ma, Ting Ma, Ilkay Öksüz, Robbie Holland, Arlindo L. Oliveira, Jimut Bahan Pal, Xuan Pei, Maoying Qiao, Anindo Saha, Raghavendra Selvan, Linlin Shen, João Lourenço Silva, Ziga Spiclin, Sanjay N. Talbar, Dadong Wang, Wei Wang, Xiong Wang, Yin Wang, Ruiling Xia, Kele Xu, Yanwu Yan, Mert Yergin, Shuang Yu, Lingxi Zeng, YingLin Zhang, Jiachen Zhao, Yefeng Zheng, Martin Zukovec, Richard K. G. Do, Anton S. Becker, Amber L. Simpson, Ender Konukoglu, András Jakab, Spyridon Bakas, Leo Joskowicz, Bjoern H. Menze

CoRR, 2024

Link Prediction for Flow-Driven Spatial Networks.

Bastian Wittmann, Johannes C. Paetzold, Chinmay Prabhakar, Daniel Rueckert, Bjoern H. Menze

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

VariViT: A Vision Transformer for Variable Image Sizes.

Aswathi Varma, Suprosanna Shit, Chinmay Prabhakar, Daniel Scholz, Hongwei Bran Li, Bjoern H. Menze, Daniel Rueckert, Benedikt Wiestler

Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 2024

3D Vessel Graph Generation Using Denoising Diffusion.

Chinmay Prabhakar, Suprosanna Shit, Fabio Musio, Kaiyuan Yang, Tamaz Amiranashvili, Johannes C. Paetzold, Hongwei Bran Li, Bjoern H. Menze

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

GenerateCT: Text-Conditional Generation of 3D Chest CT Volumes.

Ibrahim Ethem Hamamci, Sezgin Er, Anjany Sekuboyina, Enis Simsar, Alperen Tezcan, Ayse Gulnihan Simsek, Sevval Nil Esirgun, Furkan Almas, Irem Dogan, Muhammed Furkan Dasdelen, Chinmay Prabhakar, Hadrien Reynaud, Sarthak Pati, Christian Bluethgen, Mehmet Kemal Özdemir, Bjoern H. Menze

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Differentially Private Graph Neural Networks for Whole-Graph Classification.

Tamara T. Mueller, Johannes C. Paetzold, Chinmay Prabhakar, Dmitrii Usynin, Daniel Rueckert, Georgios Kaissis

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Vesselformer: Towards Complete 3D Vessel Graph Generation from Images.

Chinmay Prabhakar, Suprosanna Shit, Johannes C. Paetzold, Ivan Ezhov, Rajat Koner, Hongwei Li, Florian Sebastian Kofler, Bjoern H. Menze

Proceedings of the Medical Imaging with Deep Learning, 2023

ViT-AE++: Improving Vision Transformer Autoencoder for Self-supervised Medical Image Representations.

Chinmay Prabhakar, Hongwei Li, Jiancheng Yang, Suprosanna Shit, Benedikt Wiestler, Bjoern H. Menze

Proceedings of the Medical Imaging with Deep Learning, 2023

Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR Images.

Chinmay Prabhakar, Hongwei Bran Li, Johannes C. Paetzold, Timo Loehr, Chen Niu, Mark Mühlau, Daniel Rueckert, Benedikt Wiestler, Bjoern H. Menze

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

A Domain-specific Perceptual Metric via Contrastive Self-supervised Representation: Applications on Natural and Medical Images.

Hongwei Bran Li, Chinmay Prabhakar, Suprosanna Shit, Johannes C. Paetzold, Tamaz Amiranashvili, Jianguo Zhang, Daniel Rueckert, Juan Eugenio Iglesias, Benedikt Wiestler, Bjoern H. Menze

CoRR, 2022

Differentially Private Graph Classification with GNNs.

Tamara T. Mueller, Johannes C. Paetzold, Chinmay Prabhakar, Dmitrii Usynin, Daniel Rueckert, Georgios Kaissis

CoRR, 2022

Structured Knowledge Graphs for Classifying Unseen Patterns in Radiographs.

Chinmay Prabhakar, Anjany Sekuboyina, Hongwei Bran Li, Johannes C. Paetzold, Suprosanna Shit, Tamaz Amiranashvili, Jens Kleesiek, Bjoern H. Menze

Proceedings of the Geometric Deep Learning in Medical Image Analysis, 2022

2021

Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience (VesselGraph).

Johannes C. Paetzold, Julian McGinnis, Suprosanna Shit, Ivan Ezhov, Paul Büschl, Chinmay Prabhakar, Mihail I. Todorov, Anjany Sekuboyina, Georgios Kaissis, Ali Ertürk, Stephan Günnemann, Bjoern H. Menze

CoRR, 2021

Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience.

Johannes C. Paetzold, Julian McGinnis, Suprosanna Shit, Ivan Ezhov, Paul Büschl, Chinmay Prabhakar, Anjany Sekuboyina, Mihail I. Todorov, Georgios Kaissis, Ali Ertürk, Stephan Günnemann, Bjoern H. Menze

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021