2 citations · 2 across the 3 of their papers we have counts for
3 papers
Physics-Informed Operator Learning for Hemodynamic Modeling
Ryan Chappell, Chayan Banerjee, Kien Nguyen +1
Accurate modeling of personalized cardiovascular dynamics is crucial for non-invasive monitoring and therapy planning. State-of-the-art physics-informed neural network (PINN) appro…
LOID: Lane Occlusion Inpainting and Detection for Enhanced Autonomous Driving Systems
Aayush Agrawal, Ashmitha Jaysi Sivakumar, Ibrahim Kaif +1
Accurate lane detection is essential for effective path planning and lane following in autonomous driving, especially in scenarios with significant occlusion from vehicles and pede…
PINNs for Medical Image Analysis: A Survey
Chayan Banerjee, Kien Nguyen, Olivier Salvado +2
The incorporation of physical information in machine learning frameworks is transforming medical image analysis (MIA). By integrating fundamental knowledge and governing physical l…