Gopal Avinash

Publication Activity (10 Years)

Years Active: 2019-2022
Publications (10 Years): 9

Top Topics

Electron Microscopy

Artificial Intelligent

Top Venues

UNSURE/CLIP@MICCAI

LABELS/HAL-MICCAI/CuRIOUS@MICCAI

Publications

Tao Tan, Bipul Das, Ravi Soni, Mate Fejes, Hongxu Yang, Sohan Ranjan, Daniel Attila Szabo, Vikram Melapudi, K. S. Shriram, Utkarsh Agrawal, Laszlo Rusko, 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 (2022)
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)
V. Ratna Saripalli, Dibyajyoti Pati, Michael Potter, Gopal Avinash, Charles W. Anderson
AI-Assisted Annotator Using Reinforcement Learning. SN Comput. Sci. 1 (6) (2020)
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 (2020)
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)
V. Ratna Saripalli, Gopal Avinash, Charles W. Anderson
AI Assisted Annotator using Reinforcement Learning. CoRR (2019)
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 (2019)
Ravi Soni, Jiahui Guan, Gopal Avinash, V. Ratna Saripalli
HMC: A Hybrid Reinforcement Learning Based Model Compression for Healthcare Applications. CASE (2019)
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)