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Pathology Grand Rounds - Data-Efficient and Multimodal Computational Pathology

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Friday, October 22, 2021
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12:00 pm - 1:00 pm
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Faisal Mahmood, PhD, Harvard Medical School and Brigham and Women’s Hospital
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Pathology Grand Rounds

During this presentation, learners will review:

* Data-efficient methods for weakly-supervised whole slide classification with examples in cancer diagnosis and subtyping, allograft rejection etc. (Nature Biomedical Engineering, 2021)

* Harnessing weakly-supervised, fast and data-efficient WSI classification for identifying origins for cancers of unknown primary (Nature, 2021)

* Discovering integrative histology-genomic prognostic markers via interpretable multimodal deep learning (IEEE TMI, 2020)

* Deploying weakly supervised models in low resource settings without slide scanners, network connections, computational resources and expensive microscopes

* Bias and fairness in computational pathology algorithms

Type: LECTURE/TALK