Tina Yao

πŸ‘‹ Meet Lessie Hi Product Hunt! I'm Colin, founder of Lessie. We built Lessie around a simple question: Why is finding the right person still so slow? Whether it's creators, leads, or candidates, the process is always the same β€” search across platforms, compare profiles, filter manually, then figure out how to reach out. So we rethought the whole flow. With Lessie, you can just describe who you're looking for β€” and it handles the rest: finding, evaluating, and even reaching out.

Abstract We introduce a deep learning framework comprising two models for automated segmentation (DCS) and large-scale deep temporal clustering (DTC) within a registry of single ventricle patients. The DCS model performs simultaneous classification and segmentation of velocity-encoded phase-contrast magnetic resonance (PCMR) data for five individual blood vessels, the left and right pulmonary arteries, aorta, superior vena cava, and inferior vena cava.

Loading metrics Open Access Peer-reviewed Research Article ? This is an uncorrected proof. Citation: Yao T, Pajaziti E, Quail M, Schievano S, Steeden J, Muthurangu V (2024) Image2Flow: A proof-of-concept hybrid image and graph convolutional neural network for rapid patient-specific pulmonary artery segmentation and CFD flow field calculation from 3D cardiac MRI data. PLoS Comput Biol 20(6): e1012231.