Search Results for author: Maha Shady

Found 3 papers, 3 papers with code

Pan-Cancer Integrative Histology-Genomic Analysis via Interpretable Multimodal Deep Learning

1 code implementation4 Aug 2021 Richard J. Chen, Ming Y. Lu, Drew F. K. Williamson, Tiffany Y. Chen, Jana Lipkova, Muhammad Shaban, Maha Shady, Mane Williams, Bumjin Joo, Zahra Noor, Faisal Mahmood

To validate that these model explanations are prognostic, we further analyzed high attention morphological regions in WSIs, which indicates that tumor-infiltrating lymphocyte presence corroborates with favorable cancer prognosis on 9 out of 14 cancer types studied.

Multimodal Deep Learning whole slide images

Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole Slide Images

1 code implementation ICCV 2021 Richard J. Chen, Ming Y. Lu, Wei-Hung Weng, Tiffany Y. Chen, Drew F.K. Williamson, Trevor Manz, Maha Shady, Faisal Mahmood

Survival outcome prediction is a challenging weakly-supervised and ordinal regression task in computational pathology that involves modeling complex interactions within the tumor microenvironment in gigapixel whole slide images (WSIs).

Multiple Instance Learning Question Answering +4

Deep Learning-based Computational Pathology Predicts Origins for Cancers of Unknown Primary

1 code implementation24 Jun 2020 Ming Y. Lu, Melissa Zhao, Maha Shady, Jana Lipkova, Tiffany Y. Chen, Drew F. K. Williamson, Faisal Mahmood

Cancer of unknown primary (CUP) is an enigmatic group of diagnoses where the primary anatomical site of tumor origin cannot be determined.

whole slide images

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