Interpretable Machine Learning Models for the Digital Clock Drawing Test. - William Souillard-Mandar; Randall Davis; Cynthia Rudin; Rhoda Au; Dana L. Penney (CoRR, 2016)

Learning classification models of cognitive conditions from subtle behaviors in the digital Clock Drawing Test. - William Souillard-Mandar; Randall Davis; Cynthia Rudin; Rhoda Au; David J. Libon; Rodney Swenson; Catherine C. Price; Melissa Lamar; Dana L. Penney (Mach. Learn., 2016)

Aging in the Digital Age: Using Technology to Increase the Reach of the Clinician Expert and Close the Gap Between Health Span and Life Span. - Joyce Gomes-Osman; Javier Solana-Sánchéz; Emily Rogers; Gabriele Cattaneo; William Souillard-Mandar; David Bates; Enrique J. Gómez; Josep María Tormos Muñoz; David Bartrés-Faz; Alvaro Pascual-Leone (Frontiers Digit. Health, 2021)

DCTclock: Clinically-Interpretable and Automated Artificial Intelligence Analysis of Drawing Behavior for Capturing Cognition. - William Souillard-Mandar; Dana L. Penney; Braydon Schaible; Alvaro Pascual-Leone; Rhoda Au; Randall Davis (Frontiers Digit. Health, 2021)