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Ashish Sharma
Researcher at Emory University
Publications - 112
Citations - 3478
Ashish Sharma is an academic researcher from Emory University. The author has contributed to research in topics: Grid computing & Middleware (distributed applications). The author has an hindex of 25, co-authored 111 publications receiving 2379 citations. Previous affiliations of Ashish Sharma include Louisiana State University & Ohio State University.
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Journal ArticleDOI
Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images.
Joel H. Saltz,Rajarsi Gupta,Le Hou,Tahsin Kurc,Pankaj Singh,Vu Nguyen,Dimitris Samaras,Kenneth R. Shroyer,Tianhao Zhao,Rebecca Batiste,John Van Van Arnam,Ilya Shmulevich,Arvind Rao,Alexander J. Lazar,Ashish Sharma,Vesteinn Thorsson +15 more
TL;DR: Obtaining spatial lymphocytic patterns linked to the rich genomic characterization of TCGA samples demonstrates one use for the TCGA image archives with insights into the tumor-immune microenvironment.
Journal ArticleDOI
Early Prediction of Sepsis From Clinical Data: The PhysioNet/Computing in Cardiology Challenge 2019.
Matthew A. Reyna,Christopher S. Josef,Russell Jeter,Supreeth P. Shashikumar,Supreeth P. Shashikumar,M. Brandon Westover,Shamim Nemati,Shamim Nemati,Gari D. Clifford,Gari D. Clifford,Ashish Sharma +10 more
TL;DR: Diverse computational approaches predict the onset of sepsis several hours before clinical recognition, but generalizability to different hospital systems remains a challenge.
Journal ArticleDOI
AI in Medical Imaging Informatics: Current Challenges and Future Directions
Andreas S. Panayides,Amir A. Amini,Nenad Filipovic,Ashish Sharma,Sotirios A. Tsaftaris,Alistair A. Young,David J. Foran,Nhan Do,Spyretta Golemati,Tahsin Kurc,Kun Huang,Konstantina S. Nikita,Ben P. Veasey,Michalis Zervakis,Joel H. Saltz,Constantinos S. Pattichis +15 more
TL;DR: Integrative analytics approaches driven by associate research branches highlighted in this study promise to revolutionize imaging informatics as known today across the healthcare continuum for both radiology and digital pathology applications.
Journal ArticleDOI
Twenty Years of Digital Pathology: An Overview of the Road Travelled, What is on the Horizon, and the Emergence of Vendor-Neutral Archives.
TL;DR: An account of how the virtual microscope evolved from the need to visualize and manage satellite data for earth science applications is provided and differences between traditional image algorithms that extract pixel-, object-, and semantic-level features versus deep learning methods are highlighted.
Journal ArticleDOI
Improving Normal Tissue Complication Probability Models: The Need to Adopt a "Data-Pooling" Culture
Joseph O. Deasy,Søren M. Bentzen,Andrew Jackson,Randall K. Ten Haken,Ellen Yorke,L.S. Constine,Ashish Sharma,Lawrence B. Marks +7 more
TL;DR: Data pooling has already been carried out effectively in a few normal tissue complication probability studies and should become a common strategy, greatly enhancing the capability to construct predictive models that are more widely applicable and better powered to accurately identify key predictive factors.