Neeraj Kumar
Neeraj Kumar
Research Associate, Case Western Reserve University
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
1672017
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, 2016
322016
Fast learning-based single image super-resolution
N Kumar, A Sethi
IEEE Transactions on Multimedia 18 (8), 1504-1515, 2016
252016
Convolutional neural networks for wavelet domain super resolution
N Kumar, R Verma, A Sethi
Pattern Recognition Letters 90, 65-71, 2017
172017
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
152019
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, 101400H, 2017
142017
Neural network based image deblurring
N Kumar, R Nallamothu, A Sethi
11th Symposium on Neural Network Applications in Electrical Engineering, 219-222, 2012
132012
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
Detecting multiple sub-types of breast cancer in a single patient
ASPHG Ruchika Verma, Neeraj Kumar
IEEE International Conference on Image Processing (ICIP), 2016
92016
Learning to predict super resolution wavelet coefficients
N Kumar, NK Rai, A Sethi
Proceedings of the 21st International Conference on Pattern Recognition …, 2012
92012
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
72018
A spatial neighbourhood based learning setup for super resolution
A Sethi, N Kumar, NK Rai
2012 Annual IEEE India Conference (INDICON), 790-793, 2012
62012
Super resolution by comprehensively exploiting dependencies of wavelet coefficients
N Kumar, A Sethi
IEEE Transactions on Multimedia 20 (2), 298-309, 2017
32017
Learning based super-resolution of histological images
A Vahadane, N Kumar, A Sethi
2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 816-819, 2016
32016
On image-driven choice of wavelet basis for super resolution
N Kumar, A Sethi
2012 International Conference on Signal Processing and Communications (SPCOM …, 2012
22012
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
12019
Computer vision detects subtle histological effects of dutasteride on benign prostate
A Sethi, L Sha, N Kumar, V Macias, RJ Deaton, PH Gann
BJU international 122 (1), 143-151, 2018
12018
Computer vision detects subtle histological effects of dutasteride on benign prostate tissue
PH Gann, L Sha, V Macias, N Kumar, A Sethi
The FASEB Journal 31 (1_supplement), lb520-lb520, 2017
12017
Deep Learning-Based Image Kernel for Inductive Transfer
N Kumar, A Karmakar, RD Sharma, A Mittal, A Sethi
arXiv preprint arXiv:1512.04086, 2015
12015
Uncertainty Estimation in Cancer Survival Prediction
H Loya, P Poduval, D Anand, N Kumar, A Sethi
arXiv preprint arXiv:2003.08573, 2020
2020
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