Chieh-Ju Chao

According to our database, Chieh-Ju Chao authored at least 10 papers between 2022 and 2025.

Collaborative distances:

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

2025

MOSCARD - Causal Reasoning and De-confounding for Multimodal Opportunistic Screening of Cardiovascular Adverse Events.

Jialu Pi, Juan Maria Farina, Rimita Lahiri, Jiwoong Jason Jeong, Archana Gurudu, Hyung-Bok Park, Chieh-Ju Chao, Chadi Ayoub, Reza Arsanjani, Imon Banerjee

CoRR, June, 2025

Foundation versus domain-specific models for left ventricular segmentation on cardiac ultrasound.

Chieh-Ju Chao, Yunqi Richard Gu, Wasan Kumar, Tiange Xiang, Lalith Appari, Justin Wu, Juan Maria Farina, Rachael Wraith, Jiwoong Jason Jeong, Reza Arsanjani, Garvan C. Kane, Jae K. Oh, Curtis P. Langlotz, Imon Banerjee, Li Fei-Fei, Ehsan Adeli

npj Digit. Medicine, 2025

A comparative analysis of privacy-preserving large language models for automated echocardiography report analysis.

Elham Mahmoudi, Sanaz Vahdati, Chieh-Ju Chao, Bardia Khosravi, Ajay Misra, Francisco Lopez-Jimenez, Bradley J. Erickson

J. Am. Medical Informatics Assoc., 2025

Joint fusion of EHR and ECG data using attention-based CNN and ViT for predicting adverse clinical endpoints in percutaneous coronary intervention patients.

Arjun Thakur, Pradyumna Agasthi, Chieh-Ju Chao, Juan Maria Farina, David R. Holmes, David F. Fortuin, Chadi Ayoub, Reza Arsanjani, Imon Banerjee

Comput. Biol. Medicine, 2025

2024

Identifying the Causes of Unexplained Dyspnea at High Altitude Using Normobaric Hypoxia with Echocardiography.

Jan Stepánek, Juan Maria Farina, Ahmed K. Mahmoud, Chieh-Ju Chao, Said Alsidawi, Chadi Ayoub, Timothy Barry, Milagros Pereyra, Isabel G. Scalia, Mohammed Tiseer Abbas, Rachel E. Wraith, Lisa S. Brown, Michael S. Radavich, Pamela J. Curtisi, Patricia C. Hartzendorf, Elizabeth M. Lasota, Kyley N. Umetsu, Jill M. Peterson, Kristin E. Karlson, Karen Breznak, David F. Fortuin, Steven J. Lester, Reza Arsanjani

J. Imaging, February, 2024

2023

Aortic Valve Calcium Score by Computed Tomography as an Adjunct to Echocardiographic Assessment - A Review of Clinical Utility and Applications.

Isabel G. Scalia, Juan Maria Farina, Ratnasari Padang, Clinton E. Jokerst, Milagros Pereyra, Ahmed K. Mahmoud, Tasneem Z. Naqvi, Chieh-Ju Chao, Jae K. Oh, Reza Arsanjani, Chadi Ayoub

J. Imaging, 2023

Developing an Echocardiography-Based, Automatic Deep Learning Framework for the Differentiation of Increased Left Ventricular Wall Thickness Etiologies.

James Li, Chieh-Ju Chao, Jiwoong Jason Jeong, Juan Maria Farina, Amith R. Seri, Timothy Barry, Hana Newman, Megan Campany, Merna Abdou, Michael O'Shea, Sean Smith, Bishoy Abraham, Seyedeh Maryam Hosseini, Yuxiang Wang, Steven J. Lester, Said Alsidawi, Susan Wilansky, Eric Steidley, Julie Rosenthal, Chadi Ayoub, Christopher P. Appleton, Win-Kuang Shen, Martha Grogan, Garvan C. Kane, Jae K. Oh, Bhavik N. Patel, Reza Arsanjani, Imon Banerjee

J. Imaging, 2023

Artificial Intelligence-Based Prediction of Cardiovascular Diseases from Chest Radiography.

Juan Maria Farina, Milagros Pereyra, Ahmed K. Mahmoud, Isabel G. Scalia, Mohammed Tiseer Abbas, Chieh-Ju Chao, Timothy Barry, Chadi Ayoub, Imon Banerjee, Reza Arsanjani

J. Imaging, 2023

The Role of Artificial Intelligence in Echocardiography.

Timothy Barry, Juan Maria Farina, Chieh-Ju Chao, Chadi Ayoub, Jiwoong Jason Jeong, Bhavik N. Patel, Imon Banerjee, Reza Arsanjani

J. Imaging, 2023

2022

Generalizable Natural Language Processing Framework for Migraine Reporting from Social Media.

Yuting Guo, Swati Rajwal, Sahithi Lakamana, Chia-Chun Chiang, Paul C. Menell, Adnan H. Shahid, Yi-Chieh Chen, Nikita Chhabra, Wan-Ju Chao, Chieh-Ju Chao, Todd J. Schwedt, Imon Banerjee, Abeed Sarker

CoRR, 2022