Chinmay Prabhakar

According to our database, Chinmay Prabhakar authored at least 10 papers between 2021 and 2024.

Collaborative distances:

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

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

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