Kanishka Jain

According to our database, Kanishka Jain authored at least 2 papers between 2019 and 2022.

Collaborative distances:

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

2022

Eight pruning deep learning models for low storage and high-speed COVID-19 computed tomography lung segmentation and heatmap-based lesion localization: A multicenter study using COVLIAS 2.0.

Mohit Agarwal, Sushant Agarwal, Luca Saba, Gian Luca Chabert, Suneet K. Gupta, Alessandro Carriero, Alessio Pasche, Pietro Danna, Armin Mehmedovic, Gavino Faa, Saurabh Shrivastava, Kanishka Jain, Harsh Jain, Tanay Jujaray, Inder M. Singh, Monika Turk, Paramjit S. Chadha, Amer M. Johri, Narendra N. Khanna, Sophie Mavrogeni, John R. Laird, David W. Sobel, Martin Miner, Antonella Balestrieri, Petros P. Sfikakis, George Tsoulfas, Durga Prasanna Misra, Vikas Agarwal, George D. Kitas, Jagjit S. Teji, Mustafa Al-Maini, Surinder K. Dhanjil, Andrew Nicolaides, Aditya Sharma, Vijay Rathore, Mostafa Fatemi, Azra Alizad, Pudukode R. Krishnan, Rajanikant R. Yadav, Frence Nagy, Zsigmond Tamás Kincses, Zoltan Ruzsa, Subbaram Naidu, Klaudija Viskovic, Manudeep K. Kalra, Jasjit S. Suri

Comput. Biol. Medicine, 2022

2019

Reframing Digital Curation Practices through a Computational Thinking Framework.

Richard Marciano, Danish Mir, Connor Mullane, Emery Patterson, Debashish Pradhan, James Santos, Britton Schams, Hilary Szu Yin Shiue, Andy Jose Silva, Mayhah Suri, Tahura Turabi, Sarah Agarrat, Mirielle Vasselli, Jiale Xu, Hannah Frisch, Margaret Rose Hunt, Kanishka Jain, Genevieve Kocienda, Hannah Krauss, Chenxi Liu, Mary McKinley

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019