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Suprosanna Shit

17 papers · 2020–2025 · 8 conferences · across top CS/AI conferences

Achievements

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+9 more ↓ πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (7) πŸƒ Academic Marathon (5) 🌍 Conference Polyglot (8) πŸ—ΊοΈ Taxonomy Completionist (27)
🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (8) 🀝 Dynamic Duo (11) ⚑ Prolific Year (5) πŸš€ Conference Pioneer πŸ’Ž Century Club (17) πŸ—ƒοΈ Keyword Collector (57) πŸ”₯ Unstoppable (6)

Conferences

MIDL (5) MICCAI (4) CVPR (2) WACV (2) AAAI (1) ECCV (1) ICCV (1) ICML (1)

Papers

Semantically Consistent Discrete Diffusion for 3D Biological Graph Modeling MICCAI 2025 Cross-Domain and Cross-Dimension Learning for Image-to-Graph Transformers WACV 2025 vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation CVPR 2025 Whole Heart 3D+T Representation Learning Through Sparse 2D Cardiac MR Images MICCAI 2024 3D Vessel Graph Generation Using Denoising Diffusion MICCAI 2024 Topologically faithful multi-class segmentation in medical images MICCAI 2024 Modeling the acquisition shift between axial and sagittal MRI for diffusion superresolution to enable axial spine segmentation MIDL 2024 VariViT: A Vision Transformer for Variable Image Sizes MIDL 2024 InstanceFormer: An Online Video Instance Segmentation Framework AAAI 2023 Vesselformer: Towards Complete 3D Vessel Graph Generation from Images MIDL 2023 ViT-AE++: Improving Vision Transformer Autoencoder for Self-supervised Medical Image Representations MIDL 2023 A Skeletonization Algorithm for Gradient-Based Optimization ICCV 2023 Topologically Faithful Image Segmentation via Induced Matching of Persistence Barcodes ICML 2023 Relationformer: A Unified Framework for Image-to-Graph Generation ECCV 2022 METGAN: Generative Tumour Inpainting and Modality Synthesis in Light Sheet Microscopy WACV 2022 clDice - A Novel Topology-Preserving Loss Function for Tubular Structure Segmentation CVPR 2021 Red-GAN: Attacking class imbalance via conditioned generation. Yet another medical imaging perspective. MIDL 2020