solo Automatic Vessel Tracking using machine learning to algorithmically track blood vessels without manual input Patient-Specific Vascular Geometric Modeling a machine learning approach to segment CT and MR images Object Detection for Blood Vessels Utilizing deep object detection techniques for blood vessel detection in medical image data reduced-order blood flow modeling improving ROM parameters and automatizing medical image -> model pipeline Transfomers for Tracking Utilizing transformer neural network architecture to exploit the sequential nature of blood vessel tracking Combinging Vascular and Cardiac Models into One combining the models of the heart and the blood vessels into a single model for patient-specific simulations Deep Learning to Locate Heart in Medical Image Volume Utilizing deep object detection techniques for heart location prediction in medical image volume collaboration SimVascular a open-source software for patient-specific blood flow simulations VMR a open-access dataset of vascular models with simulation results Bioprinting; Modeling Cell Survival Modeling chemical concentration via diffusion equation to inform bioprinting template design Continuous blood pressure analysis understanding blood pressure waveforms from wearable devices coursework Effect of Modeling Variability on Aneurysm Analysis Final Project for MEC213 - Biofluid Mechanics Learning Blood Vessel Centerline from Medical Images Final Project for CS280 - Computer Vision Leveraging Transformers for Blood Vessel Tracing Final Project for CS282A - Designing and Understanding Deep Neural Networks Computational Parallelism to Boost Blood Vessel Tracking Final Project for CS267 - Applications of Parallel Computers Modeling Effect of Bad Working Posture on Vertebral Health Final Project for ME210 - Orthopaedic Biomechanics
