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Current Medicinal Chemistry|January 12, 2021
Machine Learning Approaches in Parkinson's DiseaseAnnamaria Landolfi, Carlo Ricciardi, Leandro Donisi, et al.Mathematical Biosciences and Engineering : MBE|July 2, 2021
A Six Sigma DMAIC methodology as a support tool for Health Technology Assessment of two antibioticsAlfonso Maria Ponsiglione, Carlo Ricciardi, Giovanni Improta, et al.IEEE Journal of Biomedical and Health Informatics|December 11, 2020
Healthy Aging Within an Image: Using Muscle Radiodensitometry and Lifestyle Factors to Predict Diabetes and HypertensionMarco Recenti, Carlo Ricciardi, Kyle J Edmunds, et al.Bioengineering (Basel, Switzerland)|October 22, 2021
Extracting Features from Poincaré Plots to Distinguish Congestive Heart Failure Patients According to NYHA ClassesGiovanni D'Addio, Leandro Donisi, Giuseppe Cesarelli, et al.Journal of Imaging|October 22, 2021
A Combined Radiomics and Machine Learning Approach to Distinguish Clinically Significant Prostate Lesions on a Publicly Available MRI DatasetLeandro Donisi, Giuseppe Cesarelli, Anna Castaldo, et al.Nanotechnology|September 21, 2018
A multi-level memristor based on atomic layer deposition of iron oxideSamuele Porro, Katarzyna Bejtka, Alladin Jasmin, et al.Biosensors & Bioelectronics|September 17, 2010
Integration of microfluidic and cantilever technology for biosensing application in liquid environmentCarlo Ricciardi, Giancarlo Canavese, Riccardo Castagna, et al.Healthcare (Basel, Switzerland)|January 21, 2022
Comparing Two Approaches for Thyroidectomy: A Health Technology Assessment through DMAIC CycleCarlo Ricciardi, Adelmo Gubitosi, Donatella Vecchione, et al.IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|April 6, 2023
Using Features Extracted From Upper Limb Reaching Tasks to Detect Parkinson's Disease by Means of Machine Learning ModelsGiuseppe Cesarelli, Leandro Donisi, Francesco Amato, et al.Computer Methods and Programs in Biomedicine|April 18, 2025
A radiomics approach to distinguish Progressive Supranuclear Palsy Richardson's syndrome from other phenotypes starting from MR imagesNoemi Pisani, Filomena Abate, Anna Rosa Avallone, et al.Pageof 14