Hai V. Tran

According to our database, Hai V. Tran authored at least 5 papers between 2013 and 2022.

Collaborative distances:

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

2022

Learning Generic Lung Ultrasound Biomarkers for Decoupling Feature Extraction from Downstream Tasks.

Gautam Rajendrakumar Gare, Tom Fox, Peter Lowery, Kevin Zamora, Hai V. Tran, Laura Hutchins, David Montgomery, Amita Krishnan, Deva Kannan Ramanan, Ricardo Luis Rodriguez, Bennett P. deBoisblanc, John Michael Galeotti

CoRR, 2022

Weakly Supervised Contrastive Learning for Better Severity Scoring of Lung Ultrasound.

Gautam Rajendrakumar Gare, Hai V. Tran, Bennett P. deBoisblanc, Ricardo Luis Rodriguez, John Michael Galeotti

CoRR, 2022

2021

Dense Pixel-Labeling For Reverse-Transfer And Diagnostic Learning On Lung Ultrasound For Covid-19 And Pneumonia Detection.

Gautam Rajendrakumar Gare, Andrew Schoenling, Vipin Philip, Hai V. Tran, Bennett P. deBoisblanc, Ricardo Luis Rodriguez, John Michael Galeotti

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

The Role of Pleura and Adipose in Lung Ultrasound AI.

Gautam Rajendrakumar Gare, Wanwen Chen, Alex Ling Yu Hung, Edward Chen, Hai V. Tran, Tom Fox, Peter Lowery, Kevin Zamora, Bennett P. deBoisblanc, Ricardo Luis Rodriguez, John Michael Galeotti

Proceedings of the Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning, 2021

2013

Data Management Challenges in Cloud Computing.

Hai V. Tran

Proceedings of the Computational Science and Its Applications - ICCSA 2013, 2013