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29 repositories
- HEST: Bringing Spatial Transcriptomics and Histopathology together - NeurIPS 2024
- 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
- Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology - CVPR 2024
- Multimodal prototyping for cancer survival prediction - ICML 2024
- Towards a general-purpose foundation model for computational pathology - Nature Medicine
- A vision-language foundation model for computational pathology - Nature Medicine
CLAM
PublicOpen source tools for computational pathology - Nature BME- Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021
- Demographic bias in misdiagnosis by computational pathology models - Nature Medicine
tox-foundation-ui
PublicHIPT
PublicHierarchical Image Pyramid Transformer - CVPR 2022 (Oral)MAPS
PublicMachine learning for Analysis of Proteomics in Spatial biology - Nature Communications- Visual 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
- Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell
varpool
PublicPathomicFusion
PublicFusing Histology and Genomics via Deep Learning - IEEE TMINucleiSegmentation
PubliccGAN-based Multi Organ Nuclei SegmentationCRANE
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
- Federated Learning for Computational Pathology - Medical Image Analysis
TOAD
PublicAI-based pathology predicts origins for cancers of unknown primary - Nature