Carlo Carcassi

Effect of carotid image-based phenotypes on cardiovascular risk calculator: AECRS1.0

Jasjit S. Suri, Luca Saba, Narendra N. Khanna, 2019, Medical & Biological Engineering & Computing.

Wilson's disease: A new perspective review on its genetics, diagnosis and treatment.

Jasjit S Suri, Anurag Tiwari, Carlo Carcassi, 2019, Frontiers in bioscience.

C OMP A SS LETTERS SCIENCE & SOCIETY POLICY FORUM BOOKS ET AL. PERSPECTIVES REVIEWS

Alberto Piazza, Trefor Jenkins, Carlo Carcassi, 2002 .

The usefulness of artificial neural networks in predicting the outcome of hematopoietic stem cell transplantation: a crystal ball to foresee the future?

Roberto Baccoli, Carlo Carcassi, Giovanni Caocci, 2010 .

Comparison Between an Artificial Neural Network and Logistic Regression in Predicting Long Term Kidney Transplantation Outcome

Roberto Baccoli, Carlo Carcassi, Sandro Orru, 2013 .

Comparison between an artificial neural network and logistic regression in predicting acute graft-vs-host disease after unrelated donor hematopoietic stem cell transplantation in thalassemia patients.

Roberto Baccoli, Carlo Carcassi, Franco Locatelli, 2010, Experimental hematology.

Rheumatoid Arthritis: Atherosclerosis Imaging and Cardiovascular Risk Assessment Using Machine and Deep Learning–Based Tissue Characterization

Petros Sfikakis, Deep Gupta, Ankush D. Jamthikar, 2019, Current Atherosclerosis Reports.

Nonlinear model for the carotid artery disease 10‐year risk prediction by fusing conventional cardiovascular factors to carotid ultrasound image phenotypes: A Japanese diabetes cohort study

Jasjit S Suri, Deep Gupta, Ankush D. Jamthikar, 2019, Echocardiography.