Gopal Avinash

According to our database, Gopal Avinash authored at least 8 papers between 2019 and 2022.

Collaborative distances:

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

2022

Multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19 using pristine ground-truth, versus radiologists.

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

Neurocomputing, 2022

2021

Pristine Annotations-Based Multi-modal Trained Artificial Intelligence Solution to Triage Chest X-Ray for COVID-19.

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

AI-Assisted Annotator Using Reinforcement Learning.

V. Ratna Saripalli, Dibyajyoti Pati, Michael Potter, Gopal Avinash, Charles W. Anderson

SN Comput. Sci., 2020

2019

FastEstimator: A Deep Learning Library for Fast Prototyping and Productization.

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

CoRR, 2019

AI Assisted Annotator using Reinforcement Learning.

V. Ratna Saripalli, Gopal Avinash, Charles W. Anderson

CoRR, 2019

A Generalized Approach to Determine Confident Samples for Deep Neural Networks on Unseen Data.

Min Zhang, Kevin H. Leung, Zili Ma, Jin Wen, Gopal Avinash

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures, 2019

D3MC: A Reinforcement Learning Based Data-Driven Dyna Model Compression.

Jiahui Guan, Ravi Soni, Dibyajyoti Pati, Gopal Avinash, V. Ratna Saripalli

Proceedings of the Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention, 2019

HMC: A Hybrid Reinforcement Learning Based Model Compression for Healthcare Applications.

Ravi Soni, Jiahui Guan, Gopal Avinash, V. Ratna Saripalli

Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019