Suprosanna Shit

University of Zurich — Switzerland

Medicine · Health Sciences

20h-index3.3kcitations132works10.12yr avg
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Research Topics

Radiomics and Machine Learning in Medical Imaging(25), Medical Image Segmentation Techniques(20), Advanced Neural Network Applications(19), Medical Imaging and Analysis(17), AI in cancer detection(14)

Publications132 total

SigVLP: Sigmoid Volume-Language Pre-Training for Self-Supervised CT-Volume Adaptive Representation Learning
ArXiv.org·2026Open Access
SigVLP: Sigmoid Volume-Language Pre-Training for Self-Supervised CT-Volume Adaptive Representation Learning
arXiv (Cornell University)·2026Open Access
Circle of Willis centerline graphs : a dataset and baseline algorithm
ZHAW Digital Collection·2026Open Access
VariViT: A Vision Transformer for Variable Image Sizes
ArXiv.org·2026Open Access
VariViT: A Vision Transformer for Variable Image Sizes
arXiv (Cornell University)·2026Open Access
Circle of Willis centerline graphs: A dataset and baseline algorithm
Neuroscience Informatics·2026Open Access
ProGiDiff: Prompt-Guided Diffusion-Based Medical Image Segmentation
ArXiv.org·2026Open Access
ProGiDiff: Prompt-Guided Diffusion-Based Medical Image Segmentation
arXiv (Cornell University)·2026Open Access
Automatic quantification of human skin anatomy and microvasculature biomarkers by optoacoustic mesoscopy with machine learning
2025
Optimizing Rank for High-Fidelity Implicit Neural Representations
arXiv (Cornell University)·2025Open Access
The MICCAI Federated Tumor Segmentation (FeTS) Challenge 2024: Efficient and Robust Aggregation Methods
The Journal of Machine Learning for Biomedical Imaging·2025· 2 citedOpen Access
Better Tokens for Better 3D: Advancing Vision-Language Modeling in 3D Medical Imaging
arXiv (Cornell University)·2025Open Access
Circle of Willis Centerline Graphs: A Dataset and Baseline Algorithm
arXiv (Cornell University)·2025Open Access
SVAG-Bench: A Large-Scale Benchmark for Multi-Instance Spatio-temporal Video Action Grounding
arXiv (Cornell University)·2025Open Access
Parametric Shape Models for Vessels Learned from Segmentations via Differentiable Voxelization
Lecture notes in computer science·2025
Semantically Consistent Discrete Diffusion for 3D Biological Graph Modeling
Lecture notes in computer science·2025
Latent Interpolation Learning Using Diffusion Models for Cardiac Volume Reconstruction
arXiv (Cornell University)·2025Open Access
Towards cardiac MRI foundation models: Comprehensive visual-tabular representations for whole-heart assessment and beyond
Medical Image Analysis·2025Open Access
DeepISLES: a clinically validated ischemic stroke segmentation model from the ISLES'22 challenge
Nature Communications·2025· 4 citedOpen Access
CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography
arXiv (Cornell University)·2025Open Access
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Frequent Co-authors

Bjoern Menze(33), Ivan Ezhov(30), Johannes C. Paetzold(27), Hongwei Li(16), Benedikt Wiestler(15), Florian Kofler(13), Jan S. Kirschke(12), Fernando Navarro(10), Anjany Sekuboyina(8), Claus Zimmer(7), Jana Lipková(6), Marie Piraud(6), Spyridon Bakas(6), Daniel Rueckert(6), Fabian Isensee(5), Jun Ma(5), Florian Kofler(4), Klaus Maier‐Hein(4), Augusto Fava-Sanches(4), Martin J. Menten(4)