Journals
SegPC-2021: A challenge & dataset on segmentation of Multiple Myeloma plasma cells from microscopic images
Anubha Gupta, Shiv Gehlot, and Shubham Goswami et al.Medical Image Analysis, Volume 83, 102677, 2023
[Publication Link]
A CNN-based Unified Framework Utilizing Projection Loss in Unison with Label Noise Handling for Multiple Myeloma Cancer Diagnosis
Shiv Gehlot, Anubha Gupta, and Ritu GuptaMedical Image Analysis, Volume 72, 102099, 2021
[PDF][Publication Link]
SDCT-AuxNetθ: DCT Augmented Stain Deconvolutional CNN with Auxiliary Classifier for Cancer Diagnosis
Shiv Gehlot, Anubha Gupta, and Ritu GuptaMedical Image Analysis, Volume 61, 101661, 2020
[Preprint][Publication Link][Blurb and BibTeX][Code]
GCTI-SN: Geometry-Inspired Chemical and Tissue Invariant Stain Normalization of Microscopic Medical Images
Anubha Gupta, Rahul Duggal, Shiv Gehlot, Ritu Gupta, Anvit Mangal, Lalit Kumar, Nisarg Thakkar, and Devprakash SatpathyMedical Image Analysis, Volume 65, 101788, 2020
[Publication Link][Blurb and BibTeX][Code]
WTL-I: Mutual Information-Based Wavelet Transform Learning for Hyperspectral Imaging
Shiv Gahlot, Naushad Ansari, and Anubha GuptaFrontiers in Signal Processing, Volume 2, 2022
[Publication Link]
C-NMC: B-Lineage Acute Lymphoblastic Leukaemia: A Blood Cancer Dataset
Ritu Gupta, Shiv Gehlot, and Anubha GuptaMedical Engineering & Physics, Volume 103, 103793, 2022
[Publication Link]
Conferences
FUSION: Fully Unsupervised Test-Time Stain Adaptation via Fused Normalization Statistics
Nilanjan Chattopadhyay*, Shiv Gehlot*, and Nitin Singhal (*Equal contributations in alphabetical order)IEEE European Conference on Computer Vision (ECCV) 2022: AI-enabled medical image analysis (AIMIA), 2022
[Publication Link]
Self-supervision Based Dual-Transformation Learning for Stain Normalization, Classification and Segmentation
Shiv Gehlot, and Anubha GuptaInternational Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI): Machine Learning in Medical Imaging, 2021
[Publication Link]
Seeking an Optimal Approach for Computer-Aided Pulmonary Embolism Detection
Nahid Ul Islam, Shiv Gehlot, Zongwei Zhou, Michael B. Gotway, and Jianming LiangInternational Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI): Machine Learning in Medical Imaging, 2021
[PDF][Publication Link]
EDNFC-NET: Convolutional Neural Network withNested Feature Concatenation for Nuclei-Instance Segmentation
Shiv Gehlot, Anubha Gupta, and Ritu GuptaIEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, 2020, pp. 1389-1393
[Publication Link][Blurb and BibTeX][Code]
CT-NNBI: Method To Impute Gene Expression Data Using DCT Based Sparsity and Nuclear Norm Constraint with Split Bregman Iteration
Shiv Gehlot, Akanksha Farswan, Anubha Gupta and Ritu GuptaIEEE 16th International Symposium on Biomedical Imaging (ISBI), Venice, Italy, 2019, pp. 1315-1318
[Publication Link]
Patents
Systems, methods, and apparatuses for systematically determining an optimal approach for the computer-aided diagnosis of a pulmonary embolism
Nahid Ul Islam, Shiv Gehlot, Zongwei Zhou, and Jianming LiangUS Patent App. 17/944,881, 2023
[Patent Link]