Suprosanna Shit
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
24
Venues
9
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
24 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation. | Bastian Wittmann, Yannick Wattenberg, Tamaz Amiranashvili, Suprosanna Shit, Bjoern H. Menze |
| 2025 | MICCAI | Reconstruct or Generate: Exploring the Spectrum of Generative Modeling for Cardiac MRI. | Niklas Bubeck, Yundi Zhang, Suprosanna Shit, Daniel Rueckert, Jiazhen Pan |
| 2025 | MICCAI | Parametric Shape Models for Vessels Learned from Segmentations via Differentiable Voxelization. | Alina F. Dima, Suprosanna Shit, Huaqi Qiu, Robbie Holland, Tamara T. Mueller, Fabio Musio, Kaiyuan Yang, Bjoern H. Menze, Rickmer Braren, Marcus R. Makowski, Daniel Rueckert |
| 2025 | MICCAI | Semantically Consistent Discrete Diffusion for 3D Biological Graph Modeling. | Chinmay Prabhakar, Suprosanna Shit, Tamaz Amiranashvili, Hongwei Bran Li, Bjoern H. Menze |
| 2025 | WACV | Cross-Domain and Cross-Dimension Learning for Image-to-Graph Transformers. | Alexander H. Berger, Laurin Lux, Suprosanna Shit, Ivan Ezhov, Georgios Kaissis, Martin J. Menten, Daniel Rueckert, Johannes C. Paetzold |
| 2024 | ICPR | GRAtt-VIS: Gated Residual Attention for Video Instance Segmentation. | Tanveer Hannan, Rajat Koner, Maximilian Bernhard, Suprosanna Shit, Bjoern H. Menze, Volker Tresp, Matthias Schubert, Thomas Seidl |
| 2024 | MICCAI | Supervised Contrastive Learning for Image-to-Graph Transformers. | Anna Banaszak, Alexander H. Berger, Laurin Lux, Suprosanna Shit, Daniel Rueckert, Johannes C. Paetzold |
| 2024 | MICCAI | Topologically Faithful Multi-class Segmentation in Medical Images. | Alexander H. Berger, Laurin Lux, Nico Stucki, Vincent Brgin, Suprosanna Shit, Anna Banaszak, Daniel Rueckert, Ulrich Bauer, Johannes C. Paetzold |
| 2024 | MICCAI | 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 |
| 2024 | MICCAI | Whole Heart 3D+T Representation Learning Through Sparse 2D Cardiac MR Images. | Yundi Zhang, Chen Chen, Suprosanna Shit, Sophie Starck, Daniel Rueckert, Jiazhen Pan |
| 2023 | AAAI | InstanceFormer: An Online Video Instance Segmentation Framework. | Rajat Koner, Tanveer Hannan, Suprosanna Shit, Sahand Sharifzadeh, Matthias Schubert, Thomas Seidl, Volker Tresp |
| 2023 | ICCV | A skeletonization algorithm for gradient-based optimization. | Martin J. Menten, Johannes C. Paetzold, Veronika A. Zimmer, Suprosanna Shit, Ivan Ezhov, Robbie Holland, Monika Probst, Julia A. Schnabel, Daniel Rueckert |
| 2023 | ICML | Topologically Faithful Image Segmentation via Induced Matching of Persistence Barcodes. | Nico Stucki, Johannes C. Paetzold, Suprosanna Shit, Bjoern H. Menze, Ulrich Bauer |
| 2023 | MICCAI | Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations. | Julian McGinnis, Suprosanna Shit, Hongwei Bran Li, Vasiliki Sideri-Lampretsa, Robert Graf, Maik Dannecker, Jiazhen Pan, Nil Stolt Ans, Mark Mhlau, Jan S. Kirschke, Daniel Rueckert, Benedikt Wiestler |
| 2023 | MICCAI | Global k-Space Interpolation for Dynamic MRI Reconstruction Using Masked Image Modeling. | Jiazhen Pan, Suprosanna Shit, zgn Turgut, Wenqi Huang, Hongwei Bran Li, Nil Stolt Ans, Thomas Kstner, Kerstin Hammernik, Daniel Rueckert |
| 2022 | ECCV | Relationformer: A Unified Framework for Image-to-Graph Generation. | Suprosanna Shit, Rajat Koner, Bastian Wittmann, Johannes C. Paetzold, Ivan Ezhov, Hongwei Li, Jiazhen Pan, Sahand Sharifzadeh, Georgios Kaissis, Volker Tresp, Bjoern H. Menze |
| 2022 | WACV | METGAN: Generative Tumour Inpainting and Modality Synthesis in Light Sheet Microscopy. | Izabela Horvath, Johannes C. Paetzold, Oliver Schoppe, Rami Al-Maskari, Ivan Ezhov, Suprosanna Shit, Hongwei Li, Ali Ertrk, Bjoern H. Menze |
| 2021 | CVPR | clDice - A Novel Topology-Preserving Loss Function for Tubular Structure Segmentation. | Suprosanna Shit, Johannes C. Paetzold, Anjany Sekuboyina, Ivan Ezhov, Alexander Unger, Andrey Zhylka, Josien P. W. Pluim, Ulrich Bauer, Bjoern H. Menze |
| 2020 | MICCAI | Cranial Implant Prediction Using Low-Resolution 3D Shape Completion and High-Resolution 2D Refinement. | Amirhossein Bayat, Suprosanna Shit, Adrian Kilian, Jrgen T. Liechtenstein, Jan S. Kirschke, Bjoern H. Menze |
| 2020 | MICCAI | A Distance-Based Loss for Smooth and Continuous Skin Layer Segmentation in Optoacoustic Images. | Stefan Gerl, Johannes C. Paetzold, Hailong He, Ivan Ezhov, Suprosanna Shit, Florian Kofler, Amirhossein Bayat, Giles Tetteh, Vasilis Ntziachristos, Bjoern H. Menze |
| 2020 | MICCAI | Aν-Net: Automatic Detection and Segmentation of Aneurysm. | Suprosanna Shit, Ivan Ezhov, Johannes C. Paetzold, Bjoern H. Menze |
| 2019 | MICCAI | Neural Parameters Estimation for Brain Tumor Growth Modeling. | Ivan Ezhov, Jana Lipkov, Suprosanna Shit, Florian Kofler, Nora Collomb, Benjamin Lemasson, Emmanuel Luc Barbier, Bjoern H. Menze |
| 2019 | MICCAI | Shape-Aware Complementary-Task Learning for Multi-organ Segmentation. | Fernando Navarro, Suprosanna Shit, Ivan Ezhov, Johannes C. Paetzold, Andrei Gafita, Jan C. Peeken, Stephanie E. Combs, Bjoern H. Menze |
| 2018 | ICASSP | Phasesplit: A Variable Splitting Framework for Phase Retrieval. | Subhadip Mukherjee, Suprosanna Shit, Chandra Sekhar Seelamantula |