TA7a.1

From Echo to Edge: Distilling Single-Lead ECG Models for LVEF Estimation and Embedded Deployment

Antonio Mendoza, Joseph R. Cavallaro, Rice University, United States
Session:
TA7a: AI for Medical Imaging: From Spatial and Acoustic Sensing to Clinical Insight Lecture
Track:
Speech, Image and Video Processing
Location:
Chapel
Presentation Time:
Tue, 27 Oct, 08:15 - 08:40 PT (UTC -7)
Session Co-Chairs:
Vivek Boominathan, Rice University, United States and Venkat Keshav Chivukula, University of Texas Health Science Center Houston, United States
Presentation
Discussion
Resources
No resources available.
Session TA7a
TA7a.1: From Echo to Edge: Distilling Single-Lead ECG Models for LVEF Estimation and Embedded Deployment
Antonio Mendoza, Joseph R. Cavallaro, Rice University, United States
TA7a.2: KNOWLEDGE-GUIDED DOMAIN GENERALIZATION VIA NEURO-SYMBOLIC FUSION
Midhat Urooj, Ayan Banerjee, Kuntal Thakur, Sandeep Gupta, Arizona State University, United States
TA7a.3: Uncertainty-Aware MRI Reconstruction using Consistency Models
Talha Hamza, Merve Gulle, Mehmet Akcakaya, University of Minnesota, United States
TA7a.4: Intelligent integration of echocardiographic and hemodynamic sensing with virtual patients towards cardiac digital twins
Ruth White, University of Texas Health Science Center Houston, United States; Abhirami Kathirvel, Latthika Selvamurugan, Yining Hong, Zhihe Lan, Vivek Boominathan, Jose Moreto, Rice University, United States; Venkat Keshav Chivukula, University of Texas Health Science Center Houston, United States
Contacts