| Differentially private graph classification with gnns TT Mueller, JC Paetzold, C Prabhakar, D Usynin, D Rueckert, G Kaissis arXiv preprint arXiv:2202.02575, 2022 | 15 | 2022 |
| Whole brain vessel graphs: A dataset and benchmark for graph learning and neuroscience JC Paetzold, J McGinnis, S Shit, I Ezhov, P Büschl, C Prabhakar, ... Thirty-fifth Conference on Neural Information Processing Systems Datasets …, 2021 | 14 | 2021 |
| Differentially private graph neural networks for whole-graph classification TT Mueller, JC Paetzold, C Prabhakar, D Usynin, D Rueckert, G Kaissis IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 | 12 | 2022 |
| Suprosanna Shit, Ivan Ezhov, Paul Büschl, Chinmay Prabhakar, Anjany Sekuboyina, Mihail Todorov, Georgios Kaissis, Ali Ertürk, et al. 2021. Whole Brain Vessel Graphs: A Dataset … JC Paetzold, J McGinnis Thirty-fifth Conference on Neural Information Processing Systems Datasets …, 2021 | 7 | 2021 |
| ViT-AE++: improving vision transformer autoencoder for self-supervised medical image representations C Prabhakar, H Li, J Yang, S Shit, B Wiestler, B Menze Medical Imaging with Deep Learning, 666-679, 2024 | 6 | 2024 |
| Whole brain vessel graphs: a dataset and benchmark for graph learning and neuroscience (vesselgraph) JC Paetzold, J McGinnis, S Shit, I Ezhov, P Büschl, C Prabhakar, ... arXiv preprint arXiv:2108.13233, 2021 | 6 | 2021 |
| Link Prediction for Flow-Driven Spatial Networks B Wittmann, JC Paetzold, C Prabhakar, D Rueckert, B Menze Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 3 | 2024 |
| Structured Knowledge Graphs for Classifying Unseen Patterns in Radiographs C Prabhakar, A Sekuboyina, HB Li, JC Paetzold, S Shit, T Amiranashvili, ... Geometric Deep Learning in Medical Image Analysis, 45-60, 2022 | 2 | 2022 |
| VariViT: A Vision Transformer for Variable Image Sizes A Varma, S Shit, C Prabhakar, D Scholz, HB Li, D Rueckert, B Wiestler Medical Imaging with Deep Learning, 2024 | 1 | 2024 |
| Vesselformer: Towards Complete 3D Vessel Graph Generation from Images C Prabhakar, S Shit, JC Paetzold, I Ezhov, R Koner, H Li, FS Kofler, ... Medical Imaging with Deep Learning, 320-331, 2024 | 1 | 2024 |
| A Domain-specific Perceptual Metric via Contrastive Self-supervised Representation: Applications on Natural and Medical Images HB Li, C Prabhakar, S Shit, J Paetzold, T Amiranashvili, J Zhang, ... arXiv preprint arXiv:2212.01577, 2022 | 1 | 2022 |
| Graflow: Neural Blood Flow Solver for Vascular Graph S Shit, C Prabhakar, JC Paetzold, MJ Menten, B Wittmann, I Ezhov Geometric Deep Learning in Medical Image Analysis (Extended abstracts), 2022 | 1 | 2022 |
| Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR Images C Prabhakar, HB Li, JC Paetzold, T Loehr, C Niu, M Mühlau, D Rueckert, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | | 2023 |
| HeteroKG: Knowledge graphs for multi-modal learning C Prabhakar, A Sekuboyina, S Shit Geometric Deep Learning in Medical Image Analysis (Extended abstracts), 2022 | | 2022 |
