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30 repositories
- Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology - CVPR 2024
- A vision-language foundation model for computational pathology - Nature Medicine
- Towards a general-purpose foundation model for computational pathology - Nature Medicine
- HEST: Bringing Spatial Transcriptomics and Histopathology together - NeurIPS 2024 (Spotlight)
- Open source tools for computational pathology - Nature BME
- Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction - CVPR 2024
- MADELEINE: multi-stain slide representation learning (ECCV'24)
- Transcriptomics-guided Slide Representation Learning in Computational Pathology - CVPR 2024
- Analysis of 3D pathology samples using weakly supervised AI - Cell
- Multimodal prototyping for cancer survival prediction - ICML 2024
hest-website
PublicPatch-GCN
PublicContext-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021- Demographic bias in misdiagnosis by computational pathology models - Nature Medicine
tox-foundation-ui
Public- Hierarchical Image Pyramid Transformer - CVPR 2022 (Oral)
- Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications
MAXIM
PublicMI-Zero
PublicVisual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images - CVPR 2023- Fast and scalable search of whole-slide images via self-supervised deep learning - Nature Biomedical Engineering
MANTA
Public- Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell
- Fusing Histology and Genomics via Deep Learning - IEEE TMI
- cGAN-based Multi Organ Nuclei Segmentation
CRANE
PublicDeep learning enabled assessment of cardiac allograft rejection from endomyocardial biopsies- Nature Medicine- Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole Slide Images - ICCV 2021
HistoFL
PublicFederated Learning for Computational Pathology - Medical Image Analysis- AI-based pathology predicts origins for cancers of unknown primary - Nature