Suprosanna Shit
17 papers · 2020–2025 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (28) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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Topic Evolution
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Dynamic Duo
(11)
π
Conference Pioneer
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
π
Renaissance Researcher
(5)
ποΈ
Keyword Collector
(67)
Top co-authors
Research topics
Deep Learning
(11)
Computer Vision
(8)
Machine Learning
(7)
Architectures
(5)
Domain-Specific
(5)
Processing
(5)
Application Areas
(4)
Healthcare & Medicine
(3)
Analysis
(3)
Clinical
(3)
Models
(3)
Artificial Intelligence
(2)
Learning Types Β· Deep Learning
(2)
Learning Types Β· Machine Learning
(2)
Optimization & Theory
(2)
Keywords
medical imaging
(4)
image segmentation
(4)
domain adaptation
(3)
semantic segmentation
(2)
transformer architecture
(2)
vision transformer
(2)
data augmentation
(1)
object detection
(1)
contrastive learning
(1)
persistent homology
(1)
gradient-based optimization
(1)
self-supervised learning
(1)
transfer learning
(1)
video instance segmentation
(1)
image synthesis
(1)
image generation
(1)
deep learning
(1)
class imbalance
(1)
zero-shot learning
(1)
representation learning
(1)
Papers
Cross-Domain and Cross-Dimension Learning for Image-to-Graph Transformers
WACV 2025
Semantically Consistent Discrete Diffusion for 3D Biological Graph Modeling
MICCAI 2025
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation
CVPR 2025
3D Vessel Graph Generation Using Denoising Diffusion
MICCAI 2024
Modeling the acquisition shift between axial and sagittal MRI for diffusion superresolution to enable axial spine segmentation
MIDL 2024
Topologically faithful multi-class segmentation in medical images
MICCAI 2024
VariViT: A Vision Transformer for Variable Image Sizes
MIDL 2024
Whole Heart 3D+T Representation Learning Through Sparse 2D Cardiac MR Images
MICCAI 2024
A Skeletonization Algorithm for Gradient-Based Optimization
ICCV 2023
InstanceFormer: An Online Video Instance Segmentation Framework
AAAI 2023
Topologically Faithful Image Segmentation via Induced Matching of Persistence Barcodes
ICML 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
METGAN: Generative Tumour Inpainting and Modality Synthesis in Light Sheet Microscopy
WACV 2022
Relationformer: A Unified Framework for Image-to-Graph Generation
ECCV 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