Submissions from 2023
Current Topics in Technology-Enabled Stroke Rehabilitation and Reintegration: A Scoping Review and Content Analysis, Katryna Cisek
Determining the Proportionality of Ischemic Stroke Risk Factors to Age, Elizabeth Hunter and John D. Kelleher
Submissions from 2022
Deep Residual Policy Reinforcement Learning as a Corrective Term in Process Control for Alarm Reduction: A Preliminary Report, Ammar N. Abbas, Georgios C. Chasparis, and John Kelleher
A review of risk concepts and models for predicting the risk of primary stroke, Elizabeth Hunter and John D. Kelleher
Submissions from 2020
The Impact of Body Mass Index on Functional Rehabilitation Outcomes of Working-age Inpatients with Stroke, Alejandro Garcia-Rudolph, John D. Kelleher, Blanca Cegarra, Joan Sauri Ruiz, Vasudevan Nedumpozhimana, Eloy Opissso, Jose M. Tormos, and Montserrat Bernabeu
Opening the Black Box of Artificial Intelligence for Clinical Decision Support: a Study Predicting Stroke Outcome, Esra Zihni, Vince Istan Madai, Michelle Livne, Ivana Galinovic, Ahmed A. Khalil, Jochen B. Fiebach, and Dietmar Frey
Submissions from 2019
A U-Net Deep Learning Framework for High Performance Vessel Segmentation in Paitents with Cerebrovascular Disease, Michelle Livne, Jana Rieger, Orhun Utku Aydin, Abdel Aziz Taha, Ela Maria Akay, Tabea Kossen, Jan Sobesky, John D. Kelleher, Kristian Hildebrand, Dietmar Frey, and Vince I. Madai