Shiv Gehlot

According to our database, Shiv Gehlot authored at least 13 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Seeking an optimal approach for Computer-aided Diagnosis of Pulmonary Embolism.

Nahid Ul Islam, Zongwei Zhou, Shiv Gehlot, Michael B. Gotway, Jianming Liang

Medical Image Anal., January, 2024

2023

SegPC-2021: A challenge & dataset on segmentation of Multiple Myeloma plasma cells from microscopic images.

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

Medical Image Anal., 2023

Lidacs: a Lightweight Domain adaptive cell Segmentation Framework.

Prakhar Rai, Shiv Gehlot, Ritu Gupta, Anubha Gupta

Proceedings of the Asia Conference on Artificial Intelligence, 2023

2022

FUSION: Fully Unsupervised Test-Time Stain Adaptation via Fused Normalization Statistics.

Nilanjan Chattopadhyay, Shiv Gehlot, Nitin Singhal

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

SegPC-2021: Segmentation of Multiple Myeloma Plasma Cells in Microscopic Images.

Anubha Gupta, Ritu Gupta, Shiv Gehlot, Shubham Goswami

Dataset, April, 2021

A CNN-based unified framework utilizing projection loss in unison with label noise handling for multiple Myeloma cancer diagnosis.

Shiv Gehlot, Anubha Gupta, Ritu Gupta

Medical Image Anal., 2021

Seeking an Optimal Approach for Computer-Aided Pulmonary Embolism Detection.

Nahid Ul Islam, Shiv Gehlot, Zongwei Zhou, Michael B. Gotway, Jianming Liang

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Self-supervision Based Dual-Transformation Learning for Stain Normalization, Classification andSegmentation.

Shiv Gehlot, Anubha Gupta

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

2020

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, Devprakash Satpathy

Medical Image Anal., 2020

SDCT-AuxNet^<i>θ</i>: DCT augmented stain deconvolutional CNN with auxiliary classifier for cancer diagnosis.

Shiv Gehlot, Anubha Gupta, Ritu Gupta

Medical Image Anal., 2020

SDCT-AuxNet^θ: DCT Augmented Stain Deconvolutional CNN with Auxiliary Classifier for Cancer Diagnosis.

Shiv Gehlot, Anubha Gupta, Ritu Gupta

CoRR, 2020

EDNFC-Net: Convolutional Neural Network with Nested Feature Concatenation for Nuclei-Instance Segmentation.

Shiv Gehlot, Anubha Gupta, Ritu Gupta

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

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, Ritu Gupta

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019