Gopal Avinash

According to our database, Gopal Avinash authored at least 17 papers between 2019 and 2026.

Collaborative distances:

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

2026

SynthRAR: Ring Artifacts Reduction in CT with Unrolled Network and Synthetic Data Training.

Hongxu Yang, Levente Lippenszky, Edina Timko, Gopal Avinash

CoRR, February, 2026

Low performing pixel correction in computed tomography with unrolled network and synthetic data training.

Hongxu Yang, Levente Lippenszky, Edina Timko, Lehel Ferenczi, Gopal Avinash

CoRR, January, 2026

2025

SAS: Segment Anything Small for Ultrasound - A Non-Generative Data Augmentation Technique for Robust Deep Learning in Ultrasound Imaging.

Danielle Lopes F. G. Vieira, Ahana Gangopadhyay, Hsi-Ming Chang, Ravi Soni, Gopal Avinash

CoRR, March, 2025

Quality Enhancement of Radiographic X-ray Images by Interpretable Mapping.

Hongxu Yang, Najib Akram Aboobacker, Xiaomeng Dong, German Gonzalez, Lehel Ferenczi, Gopal Avinash

CoRR, January, 2025

Learning Foundation Models from Multi-organ Medical Images by Capturing Consistency and Diversity of Anatomical Structures.

Mohammad Reza Hosseinzadeh Taher, Junpyo Hong, Ravi Soni, Gopal Avinash

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

MOSS: Learning from Multiple Organs Via Self-Supervision.

Mohammad Reza Hosseinzadeh Taher, Junpyo Hong, Ravi Soni, Gopal Avinash

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

SynthFM: Training Modality-Agnostic Foundation Models for Medical Image Segmentation Without Real Medical Data.

Sourya Sengupta, Satrajit Chakrabarty, Keerthi Sravan Ravi, Gopal Avinash, Ravi Soni

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

2024

CSG: A Context-Semantic Guided Diffusion Approach in De Novo Musculoskeletal Ultrasound Image Generation.

Elay Dahan, Hedda Cohen Indelman, Angeles M. Perez-Agosto, Carmit Shiran, Gopal Avinash, Doron Shaked, Nati Daniel

CoRR, 2024

Enhancing 3D Cardiac CT Segmentation with Latent Diffusion Model and Self-Supervised Learning.

Quanqi Hu, Ashok Vardhan Addala, Masaki Ikuta, Ravi Soni, Gopal Avinash

Proceedings of the Machine Learning for Health, 2024

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