Chinmay Prabhakar

25 papers A 1Journal 15Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Graph Energy Matching: Transport-Aligned Energy-Based Modeling for Graph Generation.
CoRR
Michal Balcerak, Suprosana Shit, Chinmay Prabhakar, Sebastian Kaltenbach, Michael S. Albergo, Yilun Du, Bjoern Menze
2026 J jnl
ProGiDiff: Prompt-Guided Diffusion-Based Medical Image Segmentation.
CoRR
Yuan Lin, Murong Xu, Marc Hölle, Chinmay Prabhakar, Andreas Maier, Vasileios Belagiannis, Bjoern Menze, Suprosanna Shit
2026 J jnl
VariViT: A Vision Transformer for Variable Image Sizes.
CoRR
Aswathi Varma, Suprosanna Shit, Chinmay Prabhakar, Daniel Scholz, Hongwei Bran Li, Bjoern Menze, Daniel Rueckert, Benedikt Wiestler
2026 J jnl
VesselTok: Tokenizing Vessel-like 3D Biomedical Graph Representations for Reconstruction and Generation.
CoRR
Chinmay Prabhakar, Bastian Wittmann, Tamaz Amiranashvili, Paul Büschl, Ezequiel de la Rosa, Julian McGinnis, Benedikt Wiestler, Bjoern Menze, Suprosanna Shit
2025 J jnl
Circle of Willis Centerline Graphs: A Dataset and Baseline Algorithm.
CoRR
Fabio Musio, Norman Juchler, Kaiyuan Yang, Suprosanna Shit, Chinmay Prabhakar, Bjoern H. Menze, Sven Hirsch
2025 — conf
Semantically Consistent Discrete Diffusion for 3D Biological Graph Modeling.
MICCAI (12)
Chinmay Prabhakar, Suprosanna Shit, Tamaz Amiranashvili, Hongwei Bran Li, Bjoern H. Menze
2025 J jnl
Semantically Consistent Discrete Diffusion for 3D Biological Graph Modeling.
CoRR
Chinmay Prabhakar, Suprosanna Shit, Tamaz Amiranashvili, Hongwei Bran Li, Bjoern H. Menze
2024 — conf
3D Vessel Graph Generation Using Denoising Diffusion.
MICCAI (11)
Chinmay Prabhakar, Suprosanna Shit, Fabio Musio, Kaiyuan Yang, Tamaz Amiranashvili, Johannes C. Paetzold, Hongwei Bran Li, Bjoern H. Menze
2024 J jnl
3D Vessel Graph Generation Using Denoising Diffusion.
CoRR
Chinmay Prabhakar, Suprosanna Shit, Fabio Musio, Kaiyuan Yang, Tamaz Amiranashvili, Johannes C. Paetzold, Hongwei Bran Li, Bjoern H. Menze
2024 — conf
GenerateCT: Text-Conditional Generation of 3D Chest CT Volumes.
ECCV (79)
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
2024 A conf
Link Prediction for Flow-Driven Spatial Networks.
WACV
Bastian Wittmann, Johannes C. Paetzold, Chinmay Prabhakar, Daniel Rueckert, Bjoern H. Menze
2024 J jnl
QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge.
CoRR
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
2024 — conf
VariViT: A Vision Transformer for Variable Image Sizes.
MIDL
Aswathi Varma, Suprosanna Shit, Chinmay Prabhakar, Daniel Scholz, Hongwei Bran Li, Bjoern H. Menze, Daniel Rueckert, Benedikt Wiestler
2023 J jnl
Differentially Private Graph Neural Networks for Whole-Graph Classification.
IEEE Trans. Pattern Anal. Mach. Intell.
Tamara T. Mueller, Johannes C. Paetzold, Chinmay Prabhakar, Dmitrii Usynin, Daniel Rueckert, Georgios Kaissis
2023 J jnl
Link Prediction for Flow-Driven Spatial Networks.
CoRR
Bastian Wittmann, Johannes C. Paetzold, Chinmay Prabhakar, Daniel Rueckert, Bjoern H. Menze
2023 — conf
Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR Images.
MICCAI (8)
Chinmay Prabhakar, Hongwei Bran Li, Johannes C. Paetzold, Timo Loehr, Chen Niu, Mark Mühlau, Daniel Rueckert, Benedikt Wiestler, Bjoern H. Menze
2023 J jnl
Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR Images.
CoRR
Chinmay Prabhakar, Hongwei Bran Li, Johannes C. Paetzold, Timo Loehr, Chen Niu, Mark Mühlau, Daniel Rueckert, Benedikt Wiestler, Bjoern H. Menze
2023 — conf
Vesselformer: Towards Complete 3D Vessel Graph Generation from Images.
MIDL
Chinmay Prabhakar, Suprosanna Shit, Johannes C. Paetzold, Ivan Ezhov, Rajat Koner, Hongwei Li, Florian Sebastian Kofler, Bjoern H. Menze
2023 — conf
ViT-AE++: Improving Vision Transformer Autoencoder for Self-supervised Medical Image Representations.
MIDL
Chinmay Prabhakar, Hongwei Li, Jiancheng Yang, Suprosanna Shit, Benedikt Wiestler, Bjoern H. Menze
2023 J jnl
ViT-AE++: Improving Vision Transformer Autoencoder for Self-supervised Medical Image Representations.
CoRR
Chinmay Prabhakar, Hongwei Bran Li, Jiancheng Yang, Suprosanna Shit, Benedikt Wiestler, Bjoern H. Menze
2022 J jnl
A Domain-specific Perceptual Metric via Contrastive Self-supervised Representation: Applications on Natural and Medical Images.
CoRR
Hongwei Bran Li, Chinmay Prabhakar, Suprosanna Shit, Johannes C. Paetzold, Tamaz Amiranashvili, Jianguo Zhang, Daniel Rueckert, Juan Eugenio Iglesias, Benedikt Wiestler, Bjoern H. Menze
2022 J jnl
Differentially Private Graph Classification with GNNs.
CoRR
Tamara T. Mueller, Johannes C. Paetzold, Chinmay Prabhakar, Dmitrii Usynin, Daniel Rueckert, Georgios Kaissis
2022 — conf
Structured Knowledge Graphs for Classifying Unseen Patterns in Radiographs.
GeoMedIA
Chinmay Prabhakar, Anjany Sekuboyina, Hongwei Bran Li, Johannes C. Paetzold, Suprosanna Shit, Tamaz Amiranashvili, Jens Kleesiek, Bjoern H. Menze
2021 J jnl
Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience (VesselGraph).
CoRR
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
2021 — conf
Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience.
NeurIPS Datasets and Benchmarks
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