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Journal Articles
- 2023
[j4]Ashish Kumar Jha
, Sneha Mithun, Umeshkumar B. Sherkhane, Vinay Jaiswar, Biche Osong, Nilendu Purandare, Sadhana Kannan, Kumar Prabhash, Sudeep Gupta, Ben G. L. Vanneste, Venkatesh Rangarajan, Andre Dekker, Leonard Wee:
Systematic review and meta-analysis of prediction models used in cervical cancer. Artif. Intell. Medicine 139: 102549 (2023)- 2020
- [j3]Ujjwal Baid, Sanjay N. Talbar, Swapnil Rane, Sudeep Gupta, Meenakshi H. Thakur, Aliasgar Moiyadi, Nilesh Sable, Mayuresh Akolkar, Abhishek Mahajan:
A Novel Approach for Fully Automatic Intra-Tumor Segmentation With 3D U-Net Architecture for Gliomas. Frontiers Comput. Neurosci. 14: 10 (2020) - [j2]Ujjwal Baid, Swapnil Rane, Sanjay N. Talbar, Sudeep Gupta, Meenakshi H. Thakur, Aliasgar Moiyadi, Abhishek Mahajan:
Overall Survival Prediction in Glioblastoma With Radiomic Features Using Machine Learning. Frontiers Comput. Neurosci. 14: 61 (2020) - 2016
- [j1]Pawan Upadhyay, Nilesh Gardi, Sanket Desai, Bikram Sahoo, Ankita Singh, Trupti Togar, Prajish Iyer, Ratnam Prasad, Pratik Chandrani, Sudeep Gupta, Amit Dutt:
TMC-SNPdb: an Indian germline variant database derived from whole exome sequences. Database J. Biol. Databases Curation 2016 (2016)
Conference and Workshop Papers
- 2018
- [c1]Ujjwal Baid, Sanjay N. Talbar, Swapnil Rane, Sudeep Gupta, Meenakshi H. Thakur, Aliasgar Moiyadi, Siddhesh Thakur, Abhishek Mahajan:
Deep Learning Radiomics Algorithm for Gliomas (DRAG) Model: A Novel Approach Using 3D UNET Based Deep Convolutional Neural Network for Predicting Survival in Gliomas. BrainLes@MICCAI (2) 2018: 369-379
Coauthor Index
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