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The Journal of Pathology|August 4, 2021
Weakly supervised learning on unannotated H&E-stained slides predicts BRAF mutation in thyroid cancer with high accuracyDeepak Anand, Kumar Yashashwi, 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.Breast Cancer Research and Treatment|May 20, 2023
Quantification of subtype purity in Luminal A breast cancer predicts clinical characteristics and survivalNeeraj Kumar, Peter H Gann, Stephanie M McGregor, et al.BMC Cancer|March 10, 2019
Quantification of intrinsic subtype ambiguity in Luminal A breast cancer and its relationship to clinical outcomesNeeraj Kumar, Dan Zhao, Dulal Bhaumik, 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.JCO Clinical Cancer Informatics|October 13, 2022
Cautious Artificial Intelligence Improves Outcomes and Trust by Flagging Outlier CasesAbhiraj S Kanse, Nikhil C Kurian, Himanshu P Aswani, et al.BJU International|February 21, 2018
Computer vision detects subtle histological effects of dutasteride on benign prostateAmit Sethi, Lingdao Sha, Neeraj Kumar, 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|May 4, 2016
Empirical comparison of color normalization methods for epithelial-stromal classification in H and E imagesAmit Sethi, Lingdao Sha, Abhishek Ramnath Vahadane, et al.Journal of Pathology Informatics|December 23, 2024
Learning to predict prostate cancer recurrence from tissue imagesMahtab Farrokh, Neeraj Kumar, Peter H Gann, et al.Pageof 168