Publications
A Deep Learning Pipeline for Assessing Ventricular Volumes from a Cardiac MRI Registry of Patients with Single Ventricle Physiology
Tina Yao, Nicole St. Clair, Gabriel F Miller, Adam L Dorfman, Mark A Fogel, Sunil Ghelani, Rajesh Krishnamurthy, Christopher Z Lam, Michael Quail, Joshua D Robinson, David Schidlow, Timothy C Slesnick, Justin Weigand, Jennifer A Steeden, Rahul H Rathod, Vivek Muthurangu
An end-to-end deep learning pipeline was developed to provide automatic segmentation and cardiac function metrics for a cardiac MRI registry of patients with single ventricle physiology; the pipeline requires no human input and is the first to segment images in this patient population.
Radiology Artificial Intelligence, 15 Nov 2023 [paper]
Physical Mechanisms of ESCRT-III–Driven Cell Division
Lena Harker-Kirschneck, Anne E Hafner, Tina Yao, Christian Vanhille-Campos, Xiuyun Jiang, Andre Pulschen, Fredrik Hurtig, Dawid Hryniuk, Siân Culley, Ricardo Henriques, Buzz Baum, Anđela Šarić
Here we developed a physical model for the ESCRT-III–mediated division of archaeal cells, which despite their structural simplicity share machinery and evolutionary origins with eukaryotes. By comparing the dynamics of simulations with data collected from live cell imaging experiments, we propose that this branch of life uses a previously unidentified division mechanism.
Proceedings of the National Academy of Sciences, 04 Jan 2022 [paper]