The Lancet

Development and validation of a deep learning-based framework for automated lung CT segmentation and acute respiratory distress syndrome prediction: a multicenter cohort study

aDepartment of Critical Care Medicine, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China bDepartment of Critical Care Medicine, Shanghai Sixth People's Hospital ...
GitHub

PRDiT: Pixel-Level Residual Diffusion Transformer for Scalable 3D CT Volume Generation

Poster and project page links will be added when available. Generating high-resolution 3D CT volumes with fine details remains challenging due to substantial computational demands and optimization ...
GitHub

ProtoSAM - One shot segmentation with foundational models

Link to our paper here. This work is the successor of DINOv2-based-Self-Supervised-Learning (Link to Paper). This work introduces a new framework, ProtoSAM, for one-shot image segmentation. It ...
Frontiers

End-to-end deep learning pipeline for opportunistic vertebral fracture and Schmorl’s node detection from routine CT scans

Upon uploading a CT-scan, the system initiates automatic preprocessing followed by vertebra segmentation using our deep learning model. The model outputs include binary vertebral masks and anatomical ...