Scalable storage of whole slide images and fast retrieval of tiles using Apache Spark. - Daniel E. Lopez Barron; Dig Vijay Kumar Yarlagadda; Praveen Rao 001; Ossama Tawfik; Deepthi S. Rao (Digital Pathology, 2018)

A system for one-shot learning of cervical cancer cell classification in histopathology images. - Dig Vijay Kumar Yarlagadda; Praveen Rao 001; Deepthi S. Rao; Ossama Tawfik (Digital Pathology, 2019)

Beyond Classification: Whole Slide Tissue Histopathology Analysis By End-To-End Part Learning. - Chensu Xie; Hassan Muhammad; Chad M. Vanderbilt; Raul Caso; Dig Vijay Kumar Yarlagadda; Gabriele Campanella; Thomas J. Fuchs (MIDL, 2020)

Deep Multi-Magnification Networks for multi-class breast cancer image segmentation. - David Joon Ho; Dig Vijay Kumar Yarlagadda; Timothy M. D'Alfonso; Matthew G. Hanna; Anne Grabenstetter; Peter Ntiamoah; Edi Brogi; Lee K. Tan; Thomas J. Fuchs (Comput. Medical Imaging Graph., 2021)

Integrated digital pathology at scale: A solution for clinical diagnostics and cancer research at a large academic medical center. - Peter J. Schüffler; Luke Geneslaw; Dig Vijay Kumar Yarlagadda; Matthew G. Hanna; Jennifer Samboy; Evangelos Stamelos; Chad M. Vanderbilt; John Philip; Marc-Henri Jean; Lorraine Corsale; Allyne Manzo; Neeraj H. G. Paramasivam; et al. (J. Am. Medical Informatics Assoc., 2021)

Discrete Representation Learning for Modeling Imaging-based Spatial Transcriptomics Data. - Dig Vijay Kumar Yarlagadda; Joan Massagué; Christina S. Leslie (ICCV (Workshops), 2023)