Amit Sethi, Ph.D.
Affiliations: | 2006 | University of Illinois, Urbana-Champaign, Urbana-Champaign, IL |
Area:
Electronics and Electrical Engineering, Computer Science, Artificial IntelligenceGoogle:
"Amit Sethi"Parents
Sign in to add mentorThomas S. Huang | grad student | 2006 | UIUC | |
(Interaction between modules in learning systems for vision applications.) |
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Publications
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Kumar N, Verma R, Anand D, et al. (2019) A Multi-organ Nucleus Segmentation Challenge. Ieee Transactions On Medical Imaging |
Yashashwi K, Sethi A, Chaporkar P. (2019) A Learnable Distortion Correction Module for Modulation Recognition Ieee Wireless Communications Letters. 8: 77-80 |
Loya H, Anand D, Poduval P, et al. (2019) A Bayesian framework to quantify survival uncertainty Annals of Oncology. 30 |
Kumar N, Uppala P, Duddu K, et al. (2018) Hyperspectral Tissue Image Segmentation using Semi-Supervised NMF and Hierarchical Clustering. Ieee Transactions On Medical Imaging |
Kumar N, Verma R, Sharma S, et al. (2017) A Dataset and a Technique for Generalized Nuclear Segmentation for Computational Pathology. Ieee Transactions On Medical Imaging |
Kumar N, Verma R, Arora A, et al. (2017) Convolutional neural networks for prostate cancer recurrence prediction Proceedings of Spie. 10140 |
Sha L, Schonfeld D, Sethi A. (2017) Color normalization of histology slides using graph regularized sparse NMF Proceedings of Spie. 10140: 1014010 |
Kumar N, Sethi A. (2017) Super Resolution by Comprehensively Exploiting Dependencies of Wavelet Coefficients Ieee Transactions On Multimedia. 20: 298-309 |
Kumar N, Sethi A. (2016) Fast Learning-Based Single Image Super-Resolution Ieee Transactions On Multimedia. 18: 1504-1515 |
Loschky LC, Hansen BC, Sethi A, et al. (2010) The role of higher order image statistics in masking scene gist recognition. Attention, Perception & Psychophysics. 72: 427-44 |