Ravi Soni

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 10

Top Topics

Chest Radiographs

Electron Microscopy

Reinforcement Learning

Tomographic Images

Top Venues

IEEE J. Biomed. Health Informatics

Publications

Xiaohui Zhang, Ahana Gangopadhyay, Hsi-Ming Chang, Ravi Soni
Diffusion Model-Based Data Augmentation for Lung Ultrasound Classification with Limited Data. ML4H@NeurIPS (2023)
Mohammad Reza Hosseinzadeh Taher, Masaki Ikuta, Ravi Soni
Curriculum Self-Supervised Learning for 3D CT Cardiac Image Segmentation. ML4H@NeurIPS (2023)
Tao Tan, Ravi Soni, Jungong Han, Shuo Li
Guest Editorial Artificial Intelligence in Pre-DICOM. IEEE J. Biomed. Health Informatics 26 (9) (2022)
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)
Chen Liu, Xiaomeng Dong, Michael Potter, Hsi-Ming Chang, Ravi Soni
Adversarial Focal Loss: Asking Your Discriminator for Hard Examples. CoRR (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)
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 (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)
Ravi Soni, Jiahui Guan, Gopal Avinash, V. Ratna Saripalli
HMC: A Hybrid Reinforcement Learning Based Model Compression for Healthcare Applications. CASE (2019)