| 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 | 223 | 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 | 83 | 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 | 63 | 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 | 50 | 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 | 42 | 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 | 37 | 2022 |
| 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 | 37 | 2021 |
| 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 | 36 | 2023 |
| 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 | 36 | 2019 |
| 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 | 27 | 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 | 26 | 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 | 23 | 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 | 21 | 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 | 20 | 2020 |
| 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 | 19 | 2019 |
| 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 | 18 | 2019 |
| DermoCC-GAN: A new approach for standardizing dermatological images using generative adversarial networks M Salvi, F Branciforti, F Veronese, E Zavattaro, V Tarantino, P Savoia, ... Computer Methods and Programs in Biomedicine 225, 107040, 2022 | 17 | 2022 |
| 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 | 17 | 2021 |
| Stain normalization in digital pathology: clinical multi-center evaluation of image quality N Michielli, A Caputo, M Scotto, A Mogetta, OAM Pennisi, F Molinari, ... Journal of Pathology Informatics 13, 100145, 2022 | 16 | 2022 |
| 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 | 16 | 2021 |
Filippo MolinariFull Professor of Biomedical Engineering, Politecnico di TorinoVerified email at polito.it
