Lists (18)
Starred repositories
Code for Intervention-based Mixup Augmentation for Multiple Instance Learning in Whole-Slide Image Time-to-Event Analysis
A tissue and cell-level annotated H&E and PD-L1 histopathology image dataset in non-small cell lung cancer
[Scientific Data] The official code of "A Large-scale Synthetic Pathological Dataset for Deep Learning-enabled Segmentation of Breast Cancer"
Official implementation of RT-DETRv4: Painlessly Furthering Real-Time Object Detection with Vision Foundation Models
This is a clean, from-scratch PyTorch implementation of the **HOPE architecture**, based on the groundbreaking paper *"Nested Learning: The Illusion of Deep Learning"* (Behrouz et al., 2024).
A vision language model for gigapixel whole slide images in histopathology
The official code for "Boosting Pathology Foundation Models via Few-shot Prompt-tuning for Rare Cancer Subtyping"
Immunocto is a large immune cell database obtained from H&E whole slide images.
Creating generative augmentation using diffusion models
Accurate spatial quantification in computational pathology with multiple instance learning
NEO Series: Native Vision-Language Models from First Principles
nnMIL: A generalizable multiple instance learning framework for computational pathology
Use DINOv3’s powerful, self-supervised visual features + YOLOv12’s blazing-fast detection, all in one repo. Whether you have only a few hundred labeled images or a medium-sized dataset, DINOV3-YOLO…
[ICLR '26 Oral] Official repository of the paper "AnyUp: Universal Feature Upsampling".
Official Implementation of Upsample Anything: A Simple and Hard to Beat Baseline for Feature Upsampling
MedFoundationHub: A Secure and Lightweight Toolkit for Zero-shot VLM Deployment with Medical Foundation Models
Self-supervised pretraining of YOLO's CSPDarknet backbone using SimCLR and unlabeled COCO images.