Chadi Ayoub

According to our database, Chadi Ayoub authored at least 10 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• 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

Novel AI-Based Quantification of Breast Arterial Calcification to Predict Cardiovascular Risk.

Theodorus Dapamede, Aisha Urooj, Vedant Joshi, Gabrielle Gershon, Frank Li, Mohammadreza Chavoshi, Beatrice Brown-Mulry, Rohan Satya Isaac, Aawez Mansuri, Chad Robichaux, Chadi Ayoub, Reza Arsanjani, Laurence Sperling, Judy Gichoya, Marly van Assen, Charles W. ONeill, Imon Banerjee, Hari Trivedi

CoRR, March, 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

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

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 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

The Role of Cardiovascular Imaging in the Diagnosis of Athlete's Heart: Navigating the Shades of Grey.

Nima Baba Ali, Sogol Attaripour Esfahani, Isabel G. Scalia, Juan Maria Farina, Milagros Pereyra, Timothy Barry, Steven J. Lester, Said Alsidawi, David E. Steidley, Chadi Ayoub, Stefano Palermi, Reza Arsanjani

J. Imaging, 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