S. Yip

Multi-Field-of-View Deep Learning Model Predicts Nonsmall Cell Lung Cancer Programmed Death-Ligand 1 Status from Whole-Slide Hematoxylin and Eosin Images

Lingdao Sha, Bolesław L Osinski, Irvin Ho, 2019, Journal of pathology informatics.

Interpretable multimodal deep learning for real-time pan-tissue pan-disease pathology search on social media

Andrew J. Schaumberg, Wendy C. Juarez-Nicanor, Sarah J. Choudhury, 2020, Modern Pathology.

A Morphology Focused Diffusion Probabilistic Model for Synthesis of Histopathology Images

Puria Azadi Moghadam, A. Bashashati, J. Lennerz, 2022, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

Synthesis of diagnostic quality cancer pathology images by generative adversarial networks

Yiping Wang, Anne Mills, Ali Bashashati, 2020, The Journal of pathology.

Synthesis of diagnostic quality cancer pathology images

Yiping Wang, Steven J.M. Jones, Ali Bashashati, 2020, bioRxiv.

Deep-learning based classification distinguishes sarcomatoid malignant mesotheliomas from benign spindle cell mesothelial proliferations

Adrian B Levine, A. Bashashati, L. Chirieac, 2021, Modern Pathology.

Automatic estimation of ulcerative colitis severity from endoscopy videos using ordinal multi-instance learning pdf

Evan Schwab, Aleksandar Stojmirovic, Gabriela Oana Cula, 2021, Comput. methods Biomech. Biomed. Eng. Imaging Vis..

The utility of color normalization for AI‐based diagnosis of hematoxylin and eosin‐stained pathology images

Adrian B Levine, Stephen S. F. Yip, A. Bashashati, 2021, The Journal of pathology.

Rise of the Machines: Advances in Deep Learning for Cancer Diagnosis.

Robin Coope, Jasleen Grewal, Adrian B Levine, 2019, Trends in cancer.

Large-Scale Annotation of Histopathology Images from Social Media

Bin Xu, Andrew J. Schaumberg, Wendy C. Juarez-Nicanor, 2018, bioRxiv.