Massimo Salvi
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The impact of pre-and post-image processing techniques on deep learning frameworks: A comprehensive review for digital pathology image analysis
M Salvi, UR Acharya, F Molinari, KM Meiburger
Computers in Biology and Medicine 128, 104129, 2021
Stain Color Adaptive Normalization (SCAN) algorithm: Separation and standardization of histological stains in digital pathology
M Salvi, N Michielli, F Molinari
Computer methods and programs in biomedicine 193, 105506, 2020
Multi‑tissue and multi‑scale approach for nuclei segmentation in H&E stained images
M Salvi, F Molinari
BioMedical Engineering OnLine 17 (1), 89, 2018
Fully automated muscle ultrasound analysis (MUSA): Robust and accurate muscle thickness measurement
C Caresio, M Salvi, F Molinari, KM Meiburger, MA Minetto
Ultrasound in medicine & biology 43 (1), 195-205, 2017
A hybrid deep learning approach for gland segmentation in prostate histopathological images
M Salvi, M Bosco, L Molinaro, A Gambella, M Papotti, UR Acharya, ...
Artificial Intelligence in Medicine 115, 102076, 2021
Automated segmentation of fluorescence microscopy images for 3D cell detection in human-derived cardiospheres
M Salvi, U Morbiducci, F Amadeo, R Santoro, F Angelini, I Chimenti, ...
Scientific reports 9 (1), 6644, 2019
Automated assessment of glomerulosclerosis and tubular atrophy using deep learning
M Salvi, A Mogetta, A Gambella, L Molinaro, A Barreca, M Papotti, ...
Computerized Medical Imaging and Graphics 90, 101930, 2021
Reduction of cardiac fibrosis by interference with YAP-dependent transactivation
G Garoffolo, M Casaburo, F Amadeo, M Salvi, G Bernava, L Piacentini, ...
Circulation Research 131 (3), 239-257, 2022
Fully automated quantitative assessment of hepatic steatosis in liver transplants
M Salvi, L Molinaro, J Metovic, D Patrono, R Romagnoli, M Papotti, ...
Computers in Biology and Medicine 123, 103836, 2020
The role in teledermoscopy of an inexpensive and easy-to-use smartphone device for the classification of three types of skin lesions using convolutional neural networks
F Veronese, F Branciforti, E Zavattaro, V Tarantino, V Romano, ...
Diagnostics 11 (3), 451, 2021
Effect of low-level light therapy on diabetic foot ulcers: a near-infrared spectroscopy study
M Salvi, D Rimini, F Molinari, G Bestente, A Bruno
Journal of Biomedical Optics 22 (3), 038001-038001, 2017
Transverse muscle ultrasound analysis (TRAMA): robust and accurate segmentation of muscle cross-sectional area
M Salvi, C Caresio, KM Meiburger, B De Santi, F Molinari, MA Minetto
Ultrasound in medicine & biology 45 (3), 672-683, 2019
Karpinski score under digital investigation: A fully automated segmentation algorithm to identify vascular and stromal injury of donors’ kidneys
M Salvi, A Mogetta, KM Meiburger, A Gambella, L Molinaro, A Barreca, ...
Electronics 9 (10), 1644, 2020
Application of uncertainty quantification to artificial intelligence in healthcare: A review of last decade (2013–2023)
S Seoni, V Jahmunah, M Salvi, PD Barua, F Molinari, UR Acharya
Computers in Biology and Medicine, 107441, 2023
Automatic discrimination of neoplastic epithelium and stromal response in breast carcinoma
M Salvi, F Molinari, N Dogliani, M Bosco
Computers in Biology and Medicine 110, 8-14, 2019
Impact of stain normalization and patch selection on the performance of convolutional neural networks in histological breast and prostate cancer classification
M Salvi, F Molinari, UR Acharya, L Molinaro, KM Meiburger
Computer Methods and Programs in Biomedicine Update 1, 100004, 2021
Ultrasound-based detection of glucocorticoid-induced impairments of muscle mass and structure in Cushing’s disease
MA Minetto, C Caresio, M Salvi, V D’Angelo, NE Gorji, F Molinari, ...
Journal of endocrinological investigation 42, 757-768, 2019
Automatic segmentation and classification methods using optical coherence tomography angiography (OCTA): a review and handbook
KM Meiburger, M Salvi, G Rotunno, W Drexler, M Liu
Applied Sciences 11 (20), 9734, 2021
Histopathological classification of canine cutaneous round cell tumors using deep learning: A multi-center study
M Salvi, F Molinari, S Iussich, LV Muscatello, L Pazzini, S Benali, B Banco, ...
Frontiers in Veterinary Science 8, 640944, 2021
Quantitative analysis of patellar tendon abnormality in asymptomatic professional “Pallapugno” players: A texture-based ultrasound approach
KM Meiburger, M Salvi, M Giacchino, UR Acharya, MA Minetto, C Caresio, ...
Applied Sciences 8 (5), 660, 2018
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