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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Robust Classification of Histology Images Exploiting Adversarial Auto EncodersNikhil Cherian Kurian, Gurparkash Singh, Poorvi Hebbar, et al.IEEE Transactions on Medical Imaging|April 1, 2022
Author's Reply to "MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge"Ruchika Verma, Neeraj Kumar, Abhijeet Patil, et al.Cancer Research Communications|December 31, 2024
Deep Learning Predicts Subtype Heterogeneity and Outcomes in Luminal A Breast Cancer Using Routinely Stained Whole-Slide ImagesNikhil Cherian Kurian, Peter H Gann, Neeraj Kumar, et al.Journal of Pathology Informatics|October 9, 2020
Deep Learning to Estimate Human Epidermal Growth Factor Receptor 2 Status from Hematoxylin and Eosin-Stained Breast Tissue ImagesDeepak Anand, Nikhil Cherian Kurian, Shubham Dhage, et al.International Journal of Dentistry|February 16, 2026
Development of a Deep Learning Model to Automatically Identify Palatal Landmarks on Three-Dimensional Maxillary Dental CastsJamal Giri, George Vadakepurathan Jose, Nikhil Cherian Kurian, et al.Journal of Pathology Informatics|April 24, 2023
Efficient quality control of whole slide pathology images with human-in-the-loop trainingAbhijeet Patil, Harsh Diwakar, Jay Sawant, et al.Journal of Imaging Informatics in Medicine|June 24, 2026
How is Bias Learned in Medical Image Analysis Models? An Exploration of the Encoding of Demographic Information in Deep Learning Models Trained to Detect Abnormalities on Chest X-RaysNikhil Cherian Kurian, Phoenix Williams, Sahar Abdulrahman, et al.The Journal of Pathology|May 25, 2023
Multiscale deep learning framework captures systemic immune features in lymph nodes predictive of triple negative breast cancer outcome in large-scale studiesGregory Verghese, Mengyuan Li, Fangfang Liu, et al.IEEE Transactions on Medical Imaging|June 4, 2021
MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification ChallengeRuchika Verma, Neeraj Kumar, Abhijeet Patil, et al.Pageof 1