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Neeraj Kumar
Neeraj Kumar
Memorial Sloan Kettering Cancer Center
Verified email at iitg.ernet.in - Homepage
Title
Cited by
Cited by
Year
A dataset and a technique for generalized nuclear segmentation for computational pathology
N Kumar, R Verma, S Sharma, S Bhargava, A Vahadane, A Sethi
IEEE transactions on medical imaging 36 (7), 1550-1560, 2017
9002017
A multi-organ nucleus segmentation challenge
N Kumar, R Verma, D Anand, Y Zhou, OF Onder, E Tsougenis, H Chen, ...
IEEE transactions on medical imaging 39 (5), 1380-1391, 2019
4062019
Federated learning enables big data for rare cancer boundary detection
S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ...
Nature communications 13 (1), 7346, 2022
1632022
MoNuSAC2020: A multi-organ nuclei segmentation and classification challenge
R Verma, N Kumar, A Patil, NC Kurian, S Rane, S Graham, QD Vu, ...
IEEE Transactions on Medical Imaging 40 (12), 3413-3423, 2021
1292021
Empirical comparison of color normalization methods for epithelial-stromal classification in H and E images
A Sethi, L Sha, AR Vahadane, RJ Deaton, N Kumar, V Macias, PH Gann
Journal of pathology informatics 7 (1), 17, 2016
682016
Convolutional neural networks for wavelet domain super resolution
N Kumar, R Verma, A Sethi
Pattern Recognition Letters 90, 65-71, 2017
602017
Convolutional neural networks for prostate cancer recurrence prediction
N Kumar, R Verma, A Arora, A Kumar, S Gupta, A Sethi, PH Gann
Medical Imaging 2017: Digital Pathology 10140, 106-117, 2017
582017
Systems and methods for computational pathology using points-of-interest
A Sethi, N Kumar
US Patent 10,573,003, 2020
572020
Fast learning-based single image super-resolution
N Kumar, A Sethi
IEEE Transactions on Multimedia 18 (8), 1504-1515, 2016
482016
Deep learning to estimate human epidermal growth factor receptor 2 status from hematoxylin and eosin-stained breast tissue images
D Anand, NC Kurian, S Dhage, N Kumar, S Rane, PH Gann, A Sethi
Journal of pathology informatics 11 (1), 19, 2020
462020
Weakly supervised learning on unannotated H&E‐stained slides predicts BRAF mutation in thyroid cancer with high accuracy
D Anand, K Yashashwi, N Kumar, S Rane, PH Gann, A Sethi
The Journal of pathology 255 (3), 232-242, 2021
422021
Hyperspectral tissue image segmentation using semi-supervised NMF and hierarchical clustering
N Kumar, P Uppala, K Duddu, H Sreedhar, V Varma, G Guzman, M Walsh, ...
IEEE transactions on medical imaging 38 (5), 1304-1313, 2018
412018
Multi-organ nuclei segmentation and classification challenge 2020
R Verma, N Kumar, A Patil, NC Kurian, S Rane, A Sethi
IEEE transactions on medical imaging 39 (1380-1391), 8, 2020
402020
Quantification of intrinsic subtype ambiguity in Luminal A breast cancer and its relationship to clinical outcomes
N Kumar, D Zhao, D Bhaumik, PH Sethi, Amit and Gann
BMC Cancer 19 (215), 2019
162019
Detecting multiple sub-types of breast cancer in a single patient
ASPHG Ruchika Verma, Neeraj Kumar
IEEE International Conference on Image Processing (ICIP), 2016
162016
Neural network based image deblurring
N Kumar, R Nallamothu, A Sethi
11th Symposium on Neural Network Applications in Electrical Engineering, 219-222, 2012
152012
Learning to predict super resolution wavelet coefficients
N Kumar, NK Rai, A Sethi
Proceedings of the 21st International Conference on Pattern Recognition …, 2012
132012
Computer‐extracted features of nuclear morphology in hematoxylin and eosin images distinguish s tage II and IV colon tumors
N Kumar, R Verma, C Chen, C Lu, P Fu, J Willis, A Madabhushi
The Journal of pathology 257 (1), 17-28, 2022
122022
Neural network based single image super resolution
N Kumar, PK Deswal, J Mehta, A Sethi
11th Symposium on Neural Network Applications in Electrical Engineering, 213-218, 2012
112012
An effective meaningful way to evaluate survival models
S Qi, N Kumar, M Farrokh, W Sun, LH Kuan, R Ranganath, R Henao, ...
arXiv preprint arXiv:2306.01196, 2023
102023
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