Shiv Gehlot, Anubha Gupta, and Ritu Gupta, "A CNN-based Unified Framework Utilizing Projection Loss in Unison with Label Noise Handling for Multiple Myeloma Cancer Diagnosis," accepted, Medical Image Analysis, 2021.
Shiv Gehlot, Anubha Gupta, and Ritu Gupta, "SDCT-AuxNet$^θ$: DCT Augmented Stain Deconvolutional CNN with Auxiliary Classifier for Cancer Diagnosis," Medical Image Analysis,Volume 61, 101661, 2020.
[Blurb and BibTeX][Preprint][Code]
Anubha Gupta, Rahul Duggal, Shiv Gehlot, Ritu Gupta, Anvit Mangal, Lalit Kumar, Nisarg Thakkar, and Devprakash Satpathy, "GCTI-SN: Geometry-Inspired Chemical and Tissue Invariant Stain Normalization of Microscopic Medical Images," Medical Image Analysis, Volume 65, 101788, 2020.
[Blurb and BibTeX][Code]
Shiv Gehlot, Anubha Gupta, and Ritu Gupta, "EDNFC-NET: Convolutional Neural Network withNested Feature Concatenation for Nuclei-Instance Segmentation," ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing $(ICASSP)$, Barcelona, Spain, 2020, pp. 1389-1393, doi: 10.1109/ICASSP40776.2020.9053633.[Blurb and BibTeX]
Shiv Gehlot, Akanksha Farswan, Anubha Gupta and Ritu Gupta, "CT-NNBI: Method To Impute Gene Expression Data Using DCT Based Sparsity and Nuclear Norm Constraint with Split Bregman Iteration," 2019 IEEE 16th International Symposium on Biomedical Imaging $(ISBI)$, Venice, Italy, 2019, pp. 1315-1318, doi: 10.1109/ISBI.2019.8759462.
Anubha Gupta, Shiv Gehlot and Ritu Gupta, "Microscopy Cancer Cell Imaging In B-Lineage Acute Lymphoblastic Leukemia," State of the Art in Neural Networks and Their Applications Vol 2, In Press.
From Previous Life
Shiv Gehlot, John Deva Kumar, "The Image Segmentation Techniques," International Journal ofImage, Graphics and Signal Processing (IJIGSP), Vol.9, No.2, pp.9-18, 2017.
Shiv Gehlot, Harish Parthasarathy, Ravendra Singh, "Two-Dimensional Parameters Estimation," International Journal of Image, Graphics and Signal Processing (IJIGSP), Vol.8, No.9, pp.1-9, 2016.