Sfoglia per AUTORE
MOLINARI F
Collezione ASL Città di Torino
Items : 5
Quantitative analysis of prion disease using an AI-powered digital pathology framework. in Scientific reports / Sci Rep. 2023 Oct 18;13(1):17759. doi: 10.1038/s41598-023-44782-4.
2023
ASL Città di Torino
ASL Città di Torino
Imperiale D; Salvi M; Molinari F; Ciccarelli M; Taraglio S; Testi R;
Deep learning approach for accurate prostate cancer identification and stratification using combined immunostaining of cytokeratin, p63, and racemase. in Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society / Comput Med Imaging Graph. 2023 Oct;109:102288. doi: 10.1016/j.compmedimag.2023.102288. Epub 2023 Aug
2023
ASL Città di Torino
ASL Città di Torino
Molinari F; López JI; Fenoglio D; Manini C; Salvi M;
Empirical mode decomposition analysis of near-infrared spectroscopy muscular signals to assess the effect of physical activity in type 2 diabetic patients in Computers in Biology and Medicine
2015
ASL Città di Torino
ASL Città di Torino
Molinari F; Joy Martis R; Acharya UR; Meiburger KM; De Luca R; Petraroli G; Liboni W;
Entropy analysis of muscular near-infrared spectroscopy (NIRS) signals during exercise programme of type 2 diabetic patients: Quantitative assessment of muscle metabolic pattern in Computer Methods and Programs in Biomedicine
2013
ASL Città di Torino
ASL Città di Torino
Molinari F; Acharya UR; Martis RJ; De Luca R; Petraroli G; Liboni W;
Migraineurs show a high prevalence of antiphospholipid antibodies in Journal of Thrombosis and Haemostasis
2011
ASL Città di Torino
ASL Città di Torino
Cavestro C; Micca G; Molinari F; Bazzan M; Di Pietrantonj C; Aloi R; Pedemonte E; Iannini R; Frigeri MC; Roccatello D;