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ORCIDJagjit S. Teji
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2020 – today
- 2022
[j3]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:
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. Comput. Biol. Medicine 146: 105571 (2022)- [j2]Jagjit S. Teji, Suneet Jain, Suneet K. Gupta, Jasjit S. Suri:
NeoAI 1.0: Machine learning-based paradigm for prediction of neonatal and infant risk of death. Comput. Biol. Medicine 147: 105639 (2022)
2010 – 2019
- 2018
- [j1]Elisa Cuadrado Godia, Md. Maniruzzaman, Tadashi Araki, Anudeep Puvvula, Md. Jahanur Rahman, Luca Saba, Harman S. Suri, Ajay Gupta, Sumit K. Banchhor, Jagjit S. Teji, Tomaz Omerzu, Narendra N. Khanna, John R. Laird, Andrew Nicolaides, Sophie Mavrogeni, George D. Kitas, Jasjit S. Suri:
Morphologic TPA (mTPA) and composite risk score for moderate carotid atherosclerotic plaque is strongly associated with HbA1c in diabetes cohort. Comput. Biol. Medicine 101: 128-145 (2018)
Coauthor Index
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