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University of Cambridge
- Cambridge, UK
- https://shangqigao.github.io/
Stars
DeepSpot: Deep learning model for predicting spatial transcriptomics from H&E histopathology images. Supports spot-level (Visium) and single-cell (Xenium) resolution.
Training-Free OOD Medical Tumor Segmentation via Anatomical Reasoning and Statistical Rejection
GigaTIME: Multimodal AI generates virtual population for tumor microenvironment modeling (Cell)
[NeurIPS'25] Towards Generalizable Retina Vessel Segmentation with Deformable Graph Priors
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Facilitates creating modular specialized agents that coordinate across diverse data types and tools like M365 and Teams to assist multi-disciplinary healthcare workflows—such as cancer care.
Large-scale semi-supervised framework with 1B+ labeled masks from 48K+ datasets with test-time adaptation to new domains (ICCV 2025).
[ICCV 2023] CLIP-Driven Universal Model; Rank first in MSD Competition.
Notebooks for working with The Cancer Imaging Archive datasets. Have you written one? Submit a PR!
M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language Models
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
BiomedParse: A Foundation Model for Joint Segmentation, Detection, and Recognition of Biomedical Objects Across Nine Modalities
GraphGen: A Scalable Approach to Domain-agnostic Labeled Graph Generation
Tools for the processing of Magnetic Resonance (MR) and histological data in body imaging applications
Clinical Histopathology Imaging Evaluation Foundation Model
The official code for "SegVol: Universal and Interactive Volumetric Medical Image Segmentation".
Official Code Repository for the paper "Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations" (ICML 2022)
Official pytorch repository for "Diffusion Posterior Sampling for General Noisy Inverse Problems"
BiomedGPT: A Generalist Vision-Language Foundation Model for Diverse Biomedical Tasks