Ravi Soni

According to our database, Ravi Soni authored at least 9 papers between 2019 and 2023.

Collaborative distances:

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

2023

Diffusion Model-Based Data Augmentation for Lung Ultrasound Classification with Limited Data.

Xiaohui Zhang, Ahana Gangopadhyay, Hsi-Ming Chang, Ravi Soni

Proceedings of the Machine Learning for Health, 2023

Curriculum Self-Supervised Learning for 3D CT Cardiac Image Segmentation.

Mohammad Reza Hosseinzadeh Taher, Masaki Ikuta, Ravi Soni

Proceedings of the Machine Learning for Health, 2023

2022

Guest Editorial Artificial Intelligence in Pre-DICOM.

Tao Tan, Ravi Soni, Jungong Han, Shuo Li

IEEE J. Biomed. Health Informatics, 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

Adversarial Focal Loss: Asking Your Discriminator for Hard Examples.

Chen Liu, Xiaomeng Dong, Michael Potter, Hsi-Ming Chang, Ravi Soni

CoRR, 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

Transformer Based Language Models for Similar Text Retrieval and Ranking.

Javed Qadrud-Din, Ashraf Bah Rabiou, Ryan Walker, Ravi Soni, Martin Gajek, Gabriel Pack, Akhil Rangaraj

CoRR, 2020

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