Gopal Avinash - RankMe

19 papers Journal 11Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Low performing pixel correction in computed tomography with unrolled network and synthetic data training. CoRR Hongxu Yang, Levente Lippenszky, Edina Timko, Lehel Ferenczi, Gopal Avinash
2026	J	`jnl`	SynthRAR: Ring Artifacts Reduction in CT with Unrolled Network and Synthetic Data Training. CoRR Hongxu Yang, Levente Lippenszky, Edina Timko, Gopal Avinash
2025	—	`conf`	Learning Foundation Models from Multi-organ Medical Images by Capturing Consistency and Diversity of Anatomical Structures. MICCAI (5) Mohammad Reza Hosseinzadeh Taher, Junpyo Hong, Ravi Soni, Gopal Avinash
2025	—	`conf`	MOSS: Learning from Multiple Organs Via Self-Supervision. ISBI Mohammad Reza Hosseinzadeh Taher, Junpyo Hong, Ravi Soni, Gopal Avinash
2025	J	`jnl`	Quality Enhancement of Radiographic X-ray Images by Interpretable Mapping. CoRR Hongxu Yang, Najib Akram Aboobacker, Xiaomeng Dong, German Gonzalez, Lehel Ferenczi, Gopal Avinash
2025	J	`jnl`	SAS: Segment Anything Small for Ultrasound - A Non-Generative Data Augmentation Technique for Robust Deep Learning in Ultrasound Imaging. CoRR Danielle Lopes F. G. Vieira, Ahana Gangopadhyay, Hsi-Ming Chang, Ravi Soni, Gopal Avinash
2025	—	`conf`	SynthFM: Training Modality-Agnostic Foundation Models for Medical Image Segmentation Without Real Medical Data. ISBI Sourya Sengupta, Satrajit Chakrabarty, Keerthi Sravan Ravi, Gopal Avinash, Ravi Soni
2025	J	`jnl`	SynthFM: Training Modality-agnostic Foundation Models for Medical Image Segmentation without Real Medical Data. CoRR Sourya Sengupta, Satrajit Chakrabarty, Keerthi Sravan Ravi, Gopal Avinash, Ravi Soni
2024	J	`jnl`	CSG: A Context-Semantic Guided Diffusion Approach in De Novo Musculoskeletal Ultrasound Image Generation. CoRR Elay Dahan, Hedda Cohen Indelman, Angeles M. Perez-Agosto, Carmit Shiran, Gopal Avinash, Doron Shaked, Nati Daniel
2024	—	`conf`	Enhancing 3D Cardiac CT Segmentation with Latent Diffusion Model and Self-Supervised Learning. ML4H@NeurIPS Quanqi Hu, Ashok Vardhan Addala, Masaki Ikuta, Ravi Soni, Gopal Avinash
2022	J	`jnl`	Multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19 using pristine ground-truth, versus radiologists. Neurocomputing 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
2021	—	`conf`	Pristine Annotations-Based Multi-modal Trained Artificial Intelligence Solution to Triage Chest X-Ray for COVID-19. MICCAI (7) 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
2020	J	`jnl`	AI-Assisted Annotator Using Reinforcement Learning. SN Comput. Sci. V. Ratna Saripalli, Dibyajyoti Pati, Michael Potter, Gopal Avinash, Charles W. Anderson
2020	J	`jnl`	Pristine annotations-based multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19. CoRR 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
2019	—	`conf`	A Generalized Approach to Determine Confident Samples for Deep Neural Networks on Unseen Data. UNSURE/CLIP@MICCAI Min Zhang, Kevin H. Leung, Zili Ma, Jin Wen, Gopal Avinash
2019	J	`jnl`	AI Assisted Annotator using Reinforcement Learning. CoRR V. Ratna Saripalli, Gopal Avinash, Charles W. Anderson
2019	—	`conf`	D3MC: A Reinforcement Learning Based Data-Driven Dyna Model Compression. LABELS/HAL-MICCAI/CuRIOUS@MICCAI Jiahui Guan, Ravi Soni, Dibyajyoti Pati, Gopal Avinash, V. Ratna Saripalli
2019	J	`jnl`	FastEstimator: A Deep Learning Library for Fast Prototyping and Productization. CoRR 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
2019	—	`conf`	HMC: A Hybrid Reinforcement Learning Based Model Compression for Healthcare Applications. CASE Ravi Soni, Jiahui Guan, Gopal Avinash, V. Ratna Saripalli