Research talks

Seminar: Utilizing crowdsourcing approaches to curate large-scale datasets for computational pathology applications

Nov 2022: Tissue and Image Analytics seminar at the University of Warwick, UK.

Journal Club: Beck et al., 2011, Systematic Analysis of Breast Cancer Morphology Uncovers Stromal Features (Arabic)

Sep 2021: Presentation for the ABCDE foundation

Seminar: NuCLS: A Scalable Crowdsourcing Approach and Dataset

Seminar: NuCLS scalable crowdsourcing, deep learning approach and dataset

Mar 2021: Seminar at the US Food and Drug Administration.

Presentation: Developing quality ground truth for machine-learning algorithms in pathology

May 2020: Introductory presentation about work funded by grant U01CA220401.

Journal Club: Elsebaie et al., 2018, Management of Low and Intermediate Risk Adult Rhabdomyosarcoma (Arabic)

Feb 2020: Presentation for the ABCDE foundation

Seminar: Unbiased learning from large-scale histology images - the case for crowdsourcing

Feb 2019: Computer Science Department Seminar, Emory University.

Seminar: Predicting cancer outcomes with machine learning

Oct 2017: Emory University Academic Exchange seminar.