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Nanjing University of Informationa Science and Technology
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Segment Anything in Medical Images
a generalist algorithm for cellular segmentation with human-in-the-loop capabilities
Style Transfer as Optimal Transport
Fusing Histology and Genomics via Deep Learning - IEEE TMI
Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell
Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole Slide Images - ICCV 2021
Code associated to the publication: Scaling self-supervised learning for histopathology with masked image modeling, A. Filiot et al., MedRxiv (2023). We publicly release Phikon 🚀
Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology - CVPR 2024
Multi-modal Graph learning for Disease Prediction (IEEE Trans. on Medical imaging, TMI2022)
[Nature Machine Intelligence 2024] Code and evaluation repository for the paper
Multimodal deep learning model for long-term cancer survival prediction
[ICCV 2023 Oral] Multiple Instance Learning Framework with Masked Hard Instance Mining for Whole Slide Image Classification
HoVer-Net inference code for simultaneous nuclear segmentation and classification
Weakly-supervised learning pipeline for histopathology images. Publications: Biomarker prediction in colorectal cancer (CRC)
Data and code to accompany our Nature publication
The implement for Comparison Detector: Convolutional Neural Networks for Cervical Cell Detection in the Limited-data Scenario.
A generative toolkit to translate H&E images to multiplexed IHC
CEll spatial Organization-based graph convolutional network
Official code for the paper "A Good Feature Extractor Is All You Need for Weakly Supervised Pathology Slide Classification"
A Transformer Model Exploiting Histology Images and Spatial Gene Expression
Downloading and Creating labels for the TCGA lung Whole Slide Images
Code for our BVM workshop submission "Attention-based Multiple Instance Learning for Survival Prediction on Lung Cancer Tissue Microarrays"
Unofficial Instructions for downloading TCIA-CPTAC Pathology Images Lung Cohorts: LUAD, LSCC (aka LUSC)