Harrison X Bai

10PUBLICATIONS
76CO-AUTHORS
Deep learningPredictive and prognostic markersDecision makingGene and molecular therapyDiagnostic radiography
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Publications (10)

|Nov 02, 2023
A Fully Automated Deep-Learning Model for Predicting the Molecular Subtypes of Posterior Fossa Ependymomas Using T2-Weighted Images.

Dan Cheng, Zhizheng Zhuo, Jiang Du

|Apr 28, 2022
Radiomics-Based Machine Learning for Outcome Prediction in a Multicenter Phase II Study of Programmed Death-Ligand 1 Inhibition Immunotherapy for Glioblastoma.

E George, E Flagg, K Chang

|Jan 15, 2022
An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data.

Chris K Kim, Ji Whae Choi, Zhicheng Jiao

|Jun 26, 2021
Deep learning-based automatic tumor burden assessment of pediatric high-grade gliomas, medulloblastomas, and other leptomeningeal seeding tumors.

Jian Peng, Daniel D Kim, Jay B Patel

|Mar 19, 2021
Machine Learning-Based Prediction of COVID-19 Severity and Progression to Critical Illness Using CT Imaging and Clinical Data.

Subhanik Purkayastha, Yanhe Xiao, Zhicheng Jiao

|Feb 09, 2021
COVID-19 Imaging: What We Know Now and What Remains Unknown.

Jeffrey P Kanne, Harrison Bai, Adam Bernheim

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Frequent Collaborators

3 joint publications

Ben Hsieh

3 joint publications

Dongcui Wang

3 joint publications

Ji Whae Choi

3 joint publications

Ken Chang