Hooman Vaseli

1. ProtoASNet: Dynamic Prototypes for Inherently Interpretable and Uncertainty-Aware Aortic Stenosis Classification in Echocardiography
   2023/07/26 by Hooman Vaseli, Ang Nan Gu, Vaseli, Hooman +15 · 4 citations
   Medicine · #Cardiac Valve Diseases and Treatments #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Infective Endocarditis Diagnosis and Management #Phonocardiography and Auscultation Techniques
2. On Modelling Label Uncertainty in Deep Neural Networks: Automatic Estimation of Intra-observer Variability in 2D Echocardiography Quality Assessment
   2019/11/02 by Zhibin Liao, Hany Girgis, Liao, Zhibin +15 · 1 citation
   Computer Science · Engineering · #Advanced X-ray and CT Imaging #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Fault Detection and Control Systems #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #electronic engineering #information engineering
3. EchoGLAD: Hierarchical Graph Neural Networks for Left Ventricle Landmark Detection on Echocardiograms
   2023/07/23 by Masoud Mokhtari, Mokhtari, Masoud, Mobina Mahdavi +11 · 1 citation
   Medicine · #Artificial Intelligence in Healthcare and Education #Cardiac Valve Diseases and Treatments #Cardiovascular Function and Risk Factors #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
4. Reliable Multi-View Learning with Conformal Prediction for Aortic Stenosis Classification in Echocardiography
   2024/09/15 by Ang Nan Gu, Gu, Ang Nan, Michael Tsang +7 · 2 citations
   Medicine · Engineering · #Phonocardiography and Auscultation Techniques #Energy Load and Power Forecasting #Fault Detection and Control Systems