An ICT and mobile health integrated approach to optimize patients' education on hypertension and its management by physicians: The Patients Optimal Strategy of Treatment(POST) pilot study. - Fabio Albini; Xiaoqiu Liu; Camilla Torlasco; Davide Soranna; Andrea Faini; Renata Ciminaghi; Ada Celsi; Matteo Benedetti; Antonella Zambon; Marco Di Rienzo; Gianfranco Parati (EMBC, 2016)

Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional LSTM networks. - Kajetan Grodecki; Aditya Killekar; Andrew Lin; Sebastien Cadet; Priscilla McElhinney; Aryabod Razipour; Cato Chan; Barry D. Pressman; Peter Julien; Judit Simon; Pál Maurovich-Horvat; Nicola Gaibazzi; et al. (CoRR, 2021)

COVID-19 lesion segmentation using convolutional LSTM for self-attention. - Aditya Killekar; Kajetan Grodecki; Andrew Lin; Sebastien Cadet; Priscilla McElhinney; Aryabod Razipour; Cato Chan; Barry D. Pressman; Peter Julien; Peter Chen; Judit Simon; Nitesh Nerlekar; et al. (Image Processing, 2022)

An accurate and time-efficient deep learning-based system for automated segmentation and reporting of cardiac magnetic resonance-detected ischemic scar. - Daniele M. Papetti; Kirsten van Abeelen; Rhodri H. Davies; Roberto Menè; Francesca Heilbron; Francesco P. Perelli; Jessica Artico; Andreas Seraphim; James C. Moon; Gianfranco Parati; Hui Xue 006; Peter Kellman; et al. (Comput. Methods Programs Biomed., 2023)