| GCTI-SN: Geometry-inspired chemical and tissue invariant stain normalization of microscopic medical images A Gupta, R Duggal, S Gehlot, R Gupta, A Mangal, L Kumar, N Thakkar, ... Medical Image Analysis 65, 101788, 2020 | 72 | 2020 |
| SDCT-AuxNetθ: DCT augmented stain deconvolutional CNN with auxiliary classifier for cancer diagnosis S Gehlot, A Gupta, R Gupta Medical Image Analysis 61, 101661, 2020 | 60 | 2020 |
| A CNN-based unified framework utilizing projection loss in unison with label noise handling for multiple Myeloma cancer diagnosis S Gehlot, A Gupta, R Gupta Medical image analysis 72, 102099, 2021 | 28 | 2021 |
| EDNFC-Net: Convolutional Neural Network with Nested Feature Concatenation for Nuclei-Instance Segmentation S Gehlot, A Gupta, R Gupta ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 24 | 2020 |
| C-NMC: B-lineage acute lymphoblastic leukaemia: A blood cancer dataset R Gupta, S Gehlot, A Gupta Medical Engineering & Physics 103, 103793, 2022 | 17 | 2022 |
| Segpc-2021: Segmentation of multiple myeloma plasma cells in microscopic images A Gupta, R Gupta, S Gehlot, S Goswami IEEE Dataport 1 (1), 1, 2021 | 15 | 2021 |
| Seeking an Optimal Approach for Computer-Aided Pulmonary Embolism Detection NU Islam, S Gehlot, Z Zhou, MB Gotway, J Liang International Conference on Medical Image Computing and Computer Assisted …, 2021 | 14 | 2021 |
| SegPC-2021: A challenge & dataset on segmentation of Multiple Myeloma plasma cells from microscopic images A Gupta, S Gehlot, S Goswami, S Motwani, R Gupta, ÁG Faura, D Štepec, ... Medical Image Analysis 83, 102677, 2023 | 12 | 2023 |
| SN-AM dataset: white blood cancer dataset of B-ALL and MM for stain normalization A Gupta, R Duggal, S Gehlot, R Gupta, A Mangal, L Kumar, N Thakkar, ... Cancer Imaging Arch, 2019 | 12 | 2019 |
| Self-supervision Based Dual-Transformation Learning for Stain Normalization, Classification and Segmentation S Gehlot, A Gupta International Conference on Medical Image Computing and Computer Assisted …, 2021 | 8 | 2021 |
| The Image Segmentation Techniques S Gehlot, JD Kumar International Journal of Image, Graphics and Signal Processing 9 (2), 9, 2017 | 7 | 2017 |
| Seeking an optimal approach for Computer-aided Diagnosis of Pulmonary Embolism NU Islam, Z Zhou, S Gehlot, MB Gotway, J Liang Medical Image Analysis 91, 102988, 2024 | 6 | 2024 |
| WTL-I: Mutual information based Wavelet Transform Learning for Hyperspectral Imaging S Gehlot, A Gupta, N Ansari Frontiers in Signal Processing 2, 24, 2022 | 2 | 2022 |
| CT-NNBI: Method to Impute Gene Expression Data using DCT Based Sparsity and Nuclear Norm Constraint with Split Bregman Iteration S Gehlot, A Farswan, A Gupta, R Gupta 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019 | 2 | 2019 |
| Microscopy Cancer Cell Imaging in B-lineage Acute Lymphoblastic Leukemia A Gupta, S Gehlot, R Gupta State of the Art in Neural Networks and Their Applications, 1-28, 2023 | 1 | 2023 |
| FUSION: Fully Unsupervised Test-Time Stain Adaptation via Fused Normalization Statistics N Chattopadhyay, S Gehlot, N Singhal European Conference on Computer Vision, 566-576, 2022 | 1 | 2022 |
| LIDACS: A Lightweight Domain Adaptive Cell Segmentation Framework P Rai, S Gehlot, R Gupta, A Gupta Proceedings of the 2023 Asia Conference on Artificial Intelligence, Machine …, 2023 | | 2023 |
| SYSTEMS, METHODS, AND APPARATUSES FOR SYSTEMATICALLY DETERMINING AN OPTIMAL APPROACH FOR THE COMPUTER-AIDED DIAGNOSIS OF A PULMONARY EMBOLISM NU Islam, S Gehlot, Z Zhou, J Liang US Patent App. 17/944,881, 2023 | | 2023 |
| Classification of normal vs malignant cells in B-ALL white blood cancer microscopic images A Gupta, R Gupta, S Gehlot, S Mourya IEEE international symposium on biomedical imaging (ISBI)-2019 challenges …, 2019 | | 2019 |
| Two-Dimensional Parameters Estimation S Gehlot, H Parthasarathy, R Singh International Journal of Image, Graphics and Signal Processing 8 (9), 1, 2016 | | 2016 |
Anubha GuptaIIIT-DelhiVerified email at iiitd.ac.in
