DGR-MIL

Code for Multiple Instance Active Learning for Object Detection, CVPR 2021

cGAN-based Multi Organ Nuclei Segmentation

Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology (LMRL Workshop, NeurIPS 2021)

Stain normalization tools for histological analysis and computational pathology

Corresponding code of 'Quiros A.C., Murray-Smith R., Yuan K. Pathology GAN: Learning deep representations of cancer tissue. Proceedings of The 3rd International Conference on Medical Imaging with Deep Learning (MIDL) 2020'

A pipeline to segment tissue from the background in histological images

Corresponding code of 'Quiros A.C.+, Coudray N.+, Yeaton A., Yang X., Chiriboga L., Karimkhan A., Narula N., Pass H., Moreira A.L., Le Quesne J.*, Tsirigos A.*, and Yuan K.* Mapping the landscape of histomorphological cancer phenotypes using self-supervised learning on unlabeled, unannotated pathology slides. 2024'

MICCAI2022: Multiple Instance Learning with Mixed Supervision in Gleason Grading.

? [AAAI 2025] Queryable Prototype Multiple Instance Learning with Vision-Language Models for Incremental Whole Slide Image Classification

The implementation of CDMI-Net in Paper - Deep Multiple Instance Learning for Landslide Mapping