Nicole St. Clair

According to our database, Nicole St. Clair authored at least 2 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

MultiFlow: A unified deep learning framework for multi-vessel classification, segmentation and clustering of phase-contrast MRI validated on a multi-site single ventricle patient cohort.

Tina Yao, Nicole St. Clair, Gabriel F. Miller, FORCE Investigators, Jennifer Anne Steeden, Rahul H. Rathod, Vivek Muthurangu

CoRR, February, 2025

2023

Deep Learning Pipeline for Preprocessing and Segmenting Cardiac Magnetic Resonance of Single Ventricle Patients from an Image Registry.

Tina Yao, Nicole St. Clair, Gabriel F. Miller, Adam L. Dorfman, Mark A. Fogel, Sunil J. Ghelani, Rajesh Krishnamurthy, Christopher Z. Lam, Joshua D. Robinson, David Schidlow, Timothy C. Slesnick, Justin Weigand, Michael Quail, Rahul H. Rathod, Jennifer Anne Steeden, Vivek Muthurangu

CoRR, 2023