Thi My Linh Tran

Publication Activity (10 Years)

Years Active: 2020-2021
Publications (10 Years): 3

Top Topics

Convolutional Neural Network

Machine Learning

Computed Tomography

Respiratory Syndrome Coronavirus

Top Venues

Korean journal of radiology

This page only lists publications with an associated author ORCID identifier.

Publications

Subhanik Purkayastha, Yanhe Xiao, Zhicheng Jiao, Rujapa Thepumnoeysuk, Kasey Halsey, Jing Wu, Thi My Linh Tran, Ben Hsieh, Ji Whae Choi, Dong-Cui Wang, Martin Vallières, Robin Wang, Scott Collins, Xue Feng, Michael D Feldman, Paul J Zhang, Michael K Atalay, Ronnie A Sebro, Li Yang, Yong Fan, Wei-Hua Liao, Harrison X Bai
Machine Learning-Based Prediction of COVID-19 Severity and Progression to Critical Illness Using CT Imaging and Clinical Data. Korean journal of radiology 22 (7) (2021)
Harrison X Bai, Ben Hsieh, Zeng Xiong, Kasey Halsey, Ji Whae Choi, Thi My Linh Tran, Ian Pan, Lin-Bo Shi, Dong-Cui Wang, Ji Mei, Xiao-Long Jiang, Qiu-Hua Zeng, Thomas K Egglin, Ping-Feng Hu, Saurabh Agarwal, Fang-Fang Xie, Sha Li, Terrance Healey, Michael K Atalay, Wei-Hua Liao
Performance of Radiologists in Differentiating COVID-19 from Non-COVID-19 Viral Pneumonia at Chest CT. Radiology 296 (2) (2020)
Harrison X Bai, Robin Wang, Zeng Xiong, Ben Hsieh, Ken Chang, Kasey Halsey, Thi My Linh Tran, Ji Whae Choi, Dong-Cui Wang, Lin-Bo Shi, Ji Mei, Xiao-Long Jiang, Ian Pan, Qiu-Hua Zeng, Ping-Feng Hu, Yi-Hui Li, Fei-Xian Fu, Raymond Y Huang, Ronnie Sebro, Qi-Zhi Yu, Michael K Atalay, Wei-Hua Liao
Artificial Intelligence Augmentation of Radiologist Performance in Distinguishing COVID-19 from Pneumonia of Other Origin at Chest CT. Radiology 296 (3) (2020)