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ORCIDShiv Gehlot
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2020 – today
- 2024
[j5]Nahid Ul Islam, Zongwei Zhou
, Shiv Gehlot, Michael B. Gotway, Jianming Liang:
Seeking an optimal approach for Computer-aided Diagnosis of Pulmonary Embolism. Medical Image Anal. 91: 102988 (2024)- [i4]Bolin Chen, Yan Ye, Jie Chen, Ru-Ling Liao, Shanzhi Yin, Shiqi Wang, Kaifa Yang, Yue Li, Yiling Xu, Ye-Kui Wang, Shiv Gehlot, Guan-Ming Su, Peng Yin, Sean McCarthy, Gary J. Sullivan:
Standardizing Generative Face Video Compression using Supplemental Enhancement Information. CoRR abs/2410.15105 (2024) - 2023
- [j4]Anubha Gupta, Shiv Gehlot, Shubham Goswami, Sachin Motwani, Ritu Gupta, Álvaro García-Faura, Dejan Stepec, Tomaz Martincic, Reza Azad, Dorit Merhof, Afshin Bozorgpour, Babak Azad, Alaa Sulaiman, Deepanshu Pandey, Pradyumna Gupta, Sumit Bhattacharya, Aman Sinha, Rohit Agarwal, Xinyun Qiu, Yucheng Zhang, Ming Fan, Yoonbeom Park, Dae-Hong Lee, Joon Sik Park, KwangYeol Lee, Jaehyung Ye:
SegPC-2021: A challenge & dataset on segmentation of Multiple Myeloma plasma cells from microscopic images. Medical Image Anal. 83: 102677 (2023) - [c6]Prakhar Rai, Shiv Gehlot, Ritu Gupta, Anubha Gupta:
Lidacs: a Lightweight Domain adaptive cell Segmentation Framework. AIMLR 2023: 9:1-9:6 - 2022
- [c5]Nilanjan Chattopadhyay, Shiv Gehlot, Nitin Singhal:
FUSION: Fully Unsupervised Test-Time Stain Adaptation via Fused Normalization Statistics. ECCV Workshops (7) 2022: 566-576 - [i3]Nilanjan Chattopadhyay, Shiv Gehlot, Nitin Singhal:
FUSION: Fully Unsupervised Test-Time Stain Adaptation via Fused Normalization Statistics. CoRR abs/2208.14206 (2022) - 2021
- [j3]Shiv Gehlot, Anubha Gupta, Ritu Gupta:
A CNN-based unified framework utilizing projection loss in unison with label noise handling for multiple Myeloma cancer diagnosis. Medical Image Anal. 72: 102099 (2021) - [c4]Shiv Gehlot, Anubha Gupta:
Self-supervision Based Dual-Transformation Learning for Stain Normalization, Classification andSegmentation. MLMI@MICCAI 2021: 477-486 - [c3]Nahid Ul Islam, Shiv Gehlot, Zongwei Zhou, Michael B. Gotway, Jianming Liang:
Seeking an Optimal Approach for Computer-Aided Pulmonary Embolism Detection. MLMI@MICCAI 2021: 692-702 - [d1]Anubha Gupta, Ritu Gupta, Shiv Gehlot, Shubham Goswami:
SegPC-2021: Segmentation of Multiple Myeloma Plasma Cells in Microscopic Images. IEEE DataPort, 2021
- [i2]Nahid Ul Islam, Shiv Gehlot, Zongwei Zhou, Michael B. Gotway, Jianming Liang:
Seeking an Optimal Approach for Computer-Aided Pulmonary Embolism Detection. CoRR abs/2109.07029 (2021) - 2020
- [j2]Shiv Gehlot, Anubha Gupta, Ritu Gupta:
SDCT-AuxNetθ: DCT augmented stain deconvolutional CNN with auxiliary classifier for cancer diagnosis. Medical Image Anal. 61: 101661 (2020) - [j1]Anubha Gupta, Rahul Duggal, Shiv Gehlot, Ritu Gupta, Anvit Mangal, Lalit Kumar, Nisarg Thakkar, Devprakash Satpathy:
GCTI-SN: Geometry-inspired chemical and tissue invariant stain normalization of microscopic medical images. Medical Image Anal. 65: 101788 (2020) - [c2]Shiv Gehlot, Anubha Gupta, Ritu Gupta:
EDNFC-Net: Convolutional Neural Network with Nested Feature Concatenation for Nuclei-Instance Segmentation. ICASSP 2020: 1389-1393 - [i1]Shiv Gehlot, Anubha Gupta, Ritu Gupta:
SDCT-AuxNetθ: DCT Augmented Stain Deconvolutional CNN with Auxiliary Classifier for Cancer Diagnosis. CoRR abs/2006.00304 (2020)
2010 – 2019
- 2019
- [c1]Shiv Gehlot, Akanksha Farswan, Anubha Gupta, Ritu Gupta:
CT-NNBI: Method to Impute Gene Expression Data using DCT Based Sparsity and Nuclear Norm Constraint with Split Bregman Iteration. ISBI 2019: 1315-1318
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