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mchen-caris's Projects

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One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification

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Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering

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Weakly-supervised learning pipeline for histopathology images. Publications: Biomarker prediction in colorectal cancer (CRC)

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source code of Inter-MIL: self-interactive multi-instance learning

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Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications

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Tools to build deep learning pipelines.

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Graph attention-based fusion of pathology images and gene expression for prediction of cancer survival

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TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification

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