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Gopal Avinash
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2020 – today
- 2022
- [j2]Tao Tan, Bipul Das, Ravi Soni, Mate Fejes, Hongxu Yang, Sohan Ranjan, Daniel Attila Szabo, Vikram Melapudi, K. S. Shriram, Utkarsh Agrawal, László Ruskó, Zita Herczeg, Barbara Darázs, Pal Tegzes, Lehel Ferenczi, Rakesh Mullick, Gopal Avinash:
Multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19 using pristine ground-truth, versus radiologists. Neurocomputing 485: 36-46 (2022) - 2021
- [c4]Tao Tan, Bipul Das, Ravi Soni, Mate Fejes, Sohan Ranjan, Daniel Attila Szabo, Vikram Melapudi, K. S. Shriram, Utkarsh Agrawal, László Ruskó, Zita Herczeg, Barbara Darázs, Pal Tegzes, Lehel Ferenczi, Rakesh Mullick, Gopal Avinash:
Pristine Annotations-Based Multi-modal Trained Artificial Intelligence Solution to Triage Chest X-Ray for COVID-19. MICCAI (7) 2021: 325-334 - 2020
- [j1]V. Ratna Saripalli, Dibyajyoti Pati, Michael Potter, Gopal Avinash, Charles W. Anderson:
AI-Assisted Annotator Using Reinforcement Learning. SN Comput. Sci. 1(6): 327 (2020) - [i3]Tao Tan, Bipul Das, Ravi Soni, Mate Fejes, Sohan Ranjan, Daniel Attila Szabo, Vikram Melapudi, K. S. Shriram, Utkarsh Agrawal, László Ruskó, Zita Herczeg, Barbara Darázs, Pal Tegzes, Lehel Ferenczi, Rakesh Mullick, Gopal Avinash:
Pristine annotations-based multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19. CoRR abs/2011.05186 (2020)
2010 – 2019
- 2019
- [c3]Ravi Soni, Jiahui Guan, Gopal Avinash, V. Ratna Saripalli:
HMC: A Hybrid Reinforcement Learning Based Model Compression for Healthcare Applications. CASE 2019: 146-151 - [c2]Min Zhang, Kevin H. Leung, Zili Ma, Jin Wen, Gopal Avinash:
A Generalized Approach to Determine Confident Samples for Deep Neural Networks on Unseen Data. UNSURE/CLIP@MICCAI 2019: 65-74 - [c1]Jiahui Guan, Ravi Soni, Dibyajyoti Pati, Gopal Avinash, V. Ratna Saripalli:
D3MC: A Reinforcement Learning Based Data-Driven Dyna Model Compression. LABELS/HAL-MICCAI/CuRIOUS@MICCAI 2019: 98-105 - [i2]V. Ratna Saripalli, Gopal Avinash, Charles W. Anderson:
AI Assisted Annotator using Reinforcement Learning. CoRR abs/1910.02052 (2019) - [i1]Xiaomeng Dong, Junpyo Hong, Hsi-Ming Chang, Michael Potter, Aritra Chowdhury, Purujit Bahl, Vivek Soni, Yun-Chan Tsai, Rajesh Tamada, Gaurav Kumar, Caroline Favart, V. Ratna Saripalli, Gopal Avinash:
FastEstimator: A Deep Learning Library for Fast Prototyping and Productization. CoRR abs/1910.04875 (2019)
Coauthor Index
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