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Ravi Soni
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2020 – today
- 2023
- [c5]Mohammad Reza Hosseinzadeh Taher, Masaki Ikuta
, Ravi Soni:
Curriculum Self-Supervised Learning for 3D CT Cardiac Image Segmentation. ML4H@NeurIPS 2023: 145-156 - [c4]Xiaohui Zhang
, Ahana Gangopadhyay, Hsi-Ming Chang, Ravi Soni:
Diffusion Model-Based Data Augmentation for Lung Ultrasound Classification with Limited Data. ML4H@NeurIPS 2023: 664-676 - 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) - [j1]Tao Tan, Ravi Soni, Jungong Han, Shuo Li
:
Guest Editorial Artificial Intelligence in Pre-DICOM. IEEE J. Biomed. Health Informatics 26(9): 4357-4358 (2022) - [i3]Chen Liu, Xiaomeng Dong, Michael Potter, Hsi-Ming Chang, Ravi Soni:
Adversarial Focal Loss: Asking Your Discriminator for Hard Examples. CoRR abs/2207.07739 (2022) - 2021
- [c3]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
- [i2]Javed Qadrud-Din, Ashraf Bah Rabiou, Ryan Walker, Ravi Soni, Martin Gajek, Gabriel Pack, Akhil Rangaraj:
Transformer Based Language Models for Similar Text Retrieval and Ranking. CoRR abs/2005.04588 (2020) - [i1]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
- [c2]Ravi Soni, Jiahui Guan, Gopal Avinash, V. Ratna Saripalli:
HMC: A Hybrid Reinforcement Learning Based Model Compression for Healthcare Applications. CASE 2019: 146-151 - [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
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