Papers
GADA: Graph Attention-based Detection Aggregation for Ultrasound Video Classification
GADA: Graph Attention-based Detection Aggregation for Ultrasound Video Classification
ZAGNet: Zone-Aware Graph Aggregation Network for Patient-Level Lung Ultrasound Diagnosis
Paper: The 2026 IEEE International Ultrasonics Symposium, 2026, Raleigh, North Carolina (October 4 to 8)
Paper: Weakly Semi-Supervised Detection in Lung Ultrasound Videos
Paper: Weakly Semi-Supervised Detection in Lung Ultrasound Videos
Paper: Contrastive self-supervised learning for spatio-temporal analysis of lung ultrasound videos
Paper: Contrastive self-supervised learning for spatio-temporal analysis of lung ultrasound videos
Paper: Atherosclerotic Burden and Remodeling Patterns of the Popliteal Artery as Detected in the Magnetic Resonance Imaging Osteoarthritis Initiative Data Set
Journal of the American Heart Association (IF: 6.106)
Paper: Quantitative Assessment of the Intracranial Vasculature of Infants and Adults using iCafe (intraCranial Artery Feature Extraction).
Frontiers in Neurology, (IF: 2.889), First author
Paper: Domain adaptive and fully automated carotid artery atherosclerotic lesion detection using an artificial intelligence approach ( LATTE ) on 3D MRI
Magnetic Resonance in Medicine, (IF: 3.635), First author.
Popular articles
- 1 Fully automated and Robust Analysis Technique for Popliteal Artery Vessel Wall Evaluation (FRAPPE)
- 2 Paper: Automated Intracranial Artery Labeling using a Graph Neural Network and Hierarchical Refinement
- 3 Blood pressure measurement system using NI myDAQ
- 4 About Personal website
- 5 LATTE on 3D-MERGE
