Archivio Istituzionale della RicercaSALVI, MASSIMO
SALVI, MASSIMO
Dipartimento di Elettronica e Telecomunicazioni
038112
A hybrid deep learning approach for gland segmentation in prostate histopathological images
2021 Salvi, Massimo; Bosco, Martino; Molinaro, Luca; Gambella, Alessandro; Papotti, Mauro; Acharya, U. Rajendra; Molinari, Filippo
A two-dimensional clinical gait analysis protocol based on markerless recordings from a single RGB-Depth camera
2020 Balta, D.; Salvi, M.; Molinari, F.; Figari, G.; Paolini, G.; Croce, U. D.; Cereatti, A.
Application of uncertainty quantification to artificial intelligence in healthcare: A review of last decade (2013-2023)
2023 Seoni, Silvia; Jahmunah, Vicnesh; Salvi, Massimo; Barua, Prabal Datta; Molinari, Filippo; Acharya, U Rajendra
Automated assessment of glomerulosclerosis and tubular atrophy using deep learning
2021 Salvi, Massimo; Mogetta, Alessandro; Gambella, Alessandro; Molinaro, Luca; Barreca, Antonella; Papotti, Mauro; Molinari, Filippo
Automated segmentation of brain cells for clonal analyses in fluorescence microscopy images
2019 Salvi, Massimo; Cerrato, Valentina; Buffo, Annalisa; Molinari, Filippo
Automated Segmentation of Fluorescence Microscopy Images for 3D Cell Detection in human-derived Cardiospheres
2019 Salvi, Massimo; Morbiducci, Umberto; Amadeo, Francesco; Santoro, Rosaria; Angelini, Francesco; Chimenti, Isotta; Massai, Diana; Messina, Elisa; Giacomello, Alessandro; Pesce, Maurizio; Molinari, Filippo
Automated Techniques for Vessel Detection and Segmentation in Cardiovascular Images
2019 Meiburger, Km; Caresio, C; Salvi, M; Molinari, F.
Automatic discrimination of neoplastic epithelium and stromal response in breast carcinoma
2019 Salvi, Massimo; Molinari, Filippo; Dogliani, Natalia; Bosco, Martino
Automatic segmentation and classification methods using optical coherence tomography angiography (Octa): A review and handbook
2021 Meiburger, K. M.; Salvi, M.; Rotunno, G.; Drexler, W.; Liu, M.
Automatic segmentation of ultrasound images of gastrocnemius medialis with different echogenicity levels using convolutional neural networks
2020 Marzola, F.; Alfen, N. V.; Salvi, M.; De Santi, B.; Doorduin, J.; Meiburger, K. M.
Automatic segmentation of ultrasound images of gastrocnemius medialis with different echogenicity levels using convolutional neural networks
2020 Marzola, F.; Alfen, N. V.; Salvi, M.; Santi, B. D.; Doorduin, J.; Meiburger, K. M.
Can multiple segmentation methods enhance deep learning networks generalization? A novel hybrid learning paradigm
2023 Marzola, Francesco; Meiburger, Kristen; Molinari, Filippo; Salvi, Massimo
Comparison of Histogram-based Textural Features between Cancerous and Normal Prostatic Tissue in Multiparametric Magnetic Resonance Images
2020 De Santi, B.; Salvi, M.; Giannini, V.; Meiburger, K. M.; Marzola, F.; Russo, F.; Bosco, M.; Molinari, F.
Deep learning approach for accurate prostate cancer identification and stratification using combined immunostaining of cytokeratin, p63, and racemase
2023 Salvi, Massimo; Manini, Claudia; López, Jose I.; Fenoglio, Dario; Molinari, Filippo
DermoCC-GAN: A new approach for standardizing dermatological images using generative adversarial networks
2022 Salvi, Massimo; Branciforti, Francesco; Veronese, Federica; Zavattaro, Elisa; Tarantino, Vanessa; Savoia, Paola; Meiburger, Kristen M
Effect of low-level light therapy on diabetic foot ulcers: A near-infrared spectroscopy study
2017 Salvi, Massimo; Rimini, Daniele; Molinari, Filippo; Bestente, Gianni; Bruno, Alberto
Exploring the Impact of Learning Paradigms on Network Generalization: A Multi-Center IMT Study
2023 Marzola, Francesco; Meiburger, Kristen M.; Molinari, Filippo; Salvi, Massimo
Fully Automated Muscle Ultrasound Analysis (MUSA): Robust and Accurate Muscle Thickness Measurement
2017 Caresio, Cristina; Salvi, Massimo; Molinari, Filippo; Meiburger, KRISTEN MARIKO; Minetto, MARCO ALESSANDRO
Fully automated quantitative assessment of hepatic steatosis in liver transplants
2020 Salvi, Massimo; Molinaro, Luca; Metovic, Jasna; Patrono, Damiano; Romagnoli, Renato; Papotti, Mauro; Molinari, Filippo
Histopathological Classification of Canine Cutaneous Round Cell Tumors Using Deep Learning: A Multi-Center Study
2021 Salvi, Massimo; Molinari, Filippo; Iussich, Selina; Muscatello, Luisa Vera; Pazzini, Luca; Benali, Silvia; Banco, Barbara; Abramo, Francesca; De Maria, Raffaella; Aresu, Luca
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| A hybrid deep learning approach for gland segmentation in prostate histopathological images / Salvi, Massimo; Bosco, Martino; Molinaro, Luca; Gambella, Alessandro; Papotti, Mauro; Acharya, U. Rajendra; Molinari, Filippo. - In: ARTIFICIAL INTELLIGENCE IN MEDICINE. - ISSN 0933-3657. - 115:(2021), p. 102076. [10.1016/j.artmed.2021.102076] | 1-gen-2021 | Salvi, MassimoMolinari, Filippo + | (2021) - paper RINGS_.pdf; RINGS_manuscript_080421.pdf |
| A two-dimensional clinical gait analysis protocol based on markerless recordings from a single RGB-Depth camera / Balta, D.; Salvi, M.; Molinari, F.; Figari, G.; Paolini, G.; Croce, U. D.; Cereatti, A.. - (2020), pp. 1-6. (Intervento presentato al convegno 15th IEEE International Symposium on Medical Measurements and Applications, MeMeA 2020 tenutosi a ita nel 2020) [10.1109/MeMeA49120.2020.9137183]. | 1-gen-2020 | Balta D.Salvi M.Molinari F.Cereatti A. + | Cereatti-Atwo-dimensional.pdf |
| Application of uncertainty quantification to artificial intelligence in healthcare: A review of last decade (2013-2023) / Seoni, Silvia; Jahmunah, Vicnesh; Salvi, Massimo; Barua, Prabal Datta; Molinari, Filippo; Acharya, U Rajendra. - In: COMPUTERS IN BIOLOGY AND MEDICINE. - ISSN 0010-4825. - STAMPA. - 165:(2023). [10.1016/j.compbiomed.2023.107441] | 1-gen-2023 | Seoni, SilviaSalvi, MassimoMolinari, Filippo + | (2023) - UQ review.pdf |
| Automated assessment of glomerulosclerosis and tubular atrophy using deep learning / Salvi, Massimo; Mogetta, Alessandro; Gambella, Alessandro; Molinaro, Luca; Barreca, Antonella; Papotti, Mauro; Molinari, Filippo. - In: COMPUTERIZED MEDICAL IMAGING AND GRAPHICS. - ISSN 0895-6111. - 90:(2021), p. 101930. [10.1016/j.compmedimag.2021.101930] | 1-gen-2021 | Salvi, MassimoMogetta, AlessandroMolinari, Filippo + | RENTAG_manuscript_180221.pdf; (2021) paper - RENTAG.pdf |
| Automated segmentation of brain cells for clonal analyses in fluorescence microscopy images / Salvi, Massimo; Cerrato, Valentina; Buffo, Annalisa; Molinari, Filippo. - In: JOURNAL OF NEUROSCIENCE METHODS. - ISSN 0165-0270. - (2019). [10.1016/j.jneumeth.2019.108348] | 1-gen-2019 | Salvi, MassimoMolinari, Filippo + | 1-s2.0-S0165027019301505-main.pdf |
| Automated Segmentation of Fluorescence Microscopy Images for 3D Cell Detection in human-derived Cardiospheres / Salvi, Massimo; Morbiducci, Umberto; Amadeo, Francesco; Santoro, Rosaria; Angelini, Francesco; Chimenti, Isotta; Massai, Diana; Messina, Elisa; Giacomello, Alessandro; Pesce, Maurizio; Molinari, Filippo. - In: SCIENTIFIC REPORTS. - ISSN 2045-2322. - 9:1(2019), p. 6644. [10.1038/s41598-019-43137-2] | 1-gen-2019 | Salvi, MassimoMorbiducci, UmbertoMassai, DianaMolinari, Filippo + | 2019-paper_CARE.pdf |
| Automated Techniques for Vessel Detection and Segmentation in Cardiovascular Images / Meiburger, Km; Caresio, C; Salvi, M; Molinari, F. - In: Cardiovascular Computing—Methodologies and Clinical Applications[s.l] : Springer, 2019. - ISBN 978-981-10-5091-6. - pp. 141-161 [10.1007/978-981-10-5092-3_7] | 1-gen-2019 | Meiburger KMSalvi MMolinari F. + | - |
| Automatic discrimination of neoplastic epithelium and stromal response in breast carcinoma / Salvi, Massimo; Molinari, Filippo; Dogliani, Natalia; Bosco, Martino. - In: COMPUTERS IN BIOLOGY AND MEDICINE. - ISSN 0010-4825. - 110:(2019), pp. 8-14-14. [10.1016/j.compbiomed.2019.05.009] | 1-gen-2019 | Salvi, MassimoMolinari, Filippo + | 2019_postprint_stroma.docx |
| Automatic segmentation and classification methods using optical coherence tomography angiography (Octa): A review and handbook / Meiburger, K. M.; Salvi, M.; Rotunno, G.; Drexler, W.; Liu, M.. - In: APPLIED SCIENCES. - ISSN 2076-3417. - ELETTRONICO. - 11:20(2021), p. 9734. [10.3390/app11209734] | 1-gen-2021 | Meiburger K. M.Salvi M.Rotunno G. + | (2021) - paper_OCTA_review.pdf |
| Automatic segmentation of ultrasound images of gastrocnemius medialis with different echogenicity levels using convolutional neural networks / Marzola, F.; Alfen, N. V.; Salvi, M.; De Santi, B.; Doorduin, J.; Meiburger, K. M.. - ELETTRONICO. - 2020:(2020), pp. 2113-2116. (Intervento presentato al convegno 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society, EMBC 2020 tenutosi a Montreal, QC, Canada nel 20-24 July 2020) [10.1109/EMBC44109.2020.9176343]. | 1-gen-2020 | Marzola F.Salvi M.De Santi B.Meiburger K. M. + | EMBC_final.pdf; EMBC_2020_author.pdf |
| Automatic segmentation of ultrasound images of gastrocnemius medialis with different echogenicity levels using convolutional neural networks / Marzola, F.; Alfen, N. V.; Salvi, M.; Santi, B. D.; Doorduin, J.; Meiburger, K. M.. - 2020-:(2020), pp. 2113-2116. (Intervento presentato al convegno 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society, EMBC 2020 nel 2020) [10.1109/EMBC44109.2020.9176343]. | 1-gen-2020 | Marzola F.Salvi M.Meiburger K. M. + | - |
| Can multiple segmentation methods enhance deep learning networks generalization? A novel hybrid learning paradigm / Marzola, Francesco; Meiburger, Kristen; Molinari, Filippo; Salvi, Massimo. - ELETTRONICO. - 12465:(2023), p. 39. (Intervento presentato al convegno SPIE MEDICAL IMAGING 2023 tenutosi a San Diego (USA) nel 19-24 Febbraio 2023) [10.1117/12.2653394]. | 1-gen-2023 | Marzola, FrancescoMeiburger, KristenMolinari, FilippoSalvi, Massimo | SPIE_manuscript_vIRIS.docx; Marzola-CanMultiple.pdf |
| Comparison of Histogram-based Textural Features between Cancerous and Normal Prostatic Tissue in Multiparametric Magnetic Resonance Images / De Santi, B.; Salvi, M.; Giannini, V.; Meiburger, K. M.; Marzola, F.; Russo, F.; Bosco, M.; Molinari, F.. - 2020-:(2020), pp. 1671-1674. (Intervento presentato al convegno 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society, EMBC 2020 tenutosi a can nel 2020) [10.1109/EMBC44109.2020.9176307]. | 1-gen-2020 | De Santi B.Salvi M.Giannini V.Meiburger K. M.Marzola F.Bosco M.Molinari F. + | 2020_EMBC_MRItexture.pdf; MRItexture.pdf |
| Deep learning approach for accurate prostate cancer identification and stratification using combined immunostaining of cytokeratin, p63, and racemase / Salvi, Massimo; Manini, Claudia; López, Jose I.; Fenoglio, Dario; Molinari, Filippo. - In: COMPUTERIZED MEDICAL IMAGING AND GRAPHICS. - ISSN 0895-6111. - STAMPA. - (2023). [10.1016/j.compmedimag.2023.102288] | 1-gen-2023 | Salvi, MassimoMolinari, Filippo + | 1-s2.0-S0895611123001064-main.pdf |
| DermoCC-GAN: A new approach for standardizing dermatological images using generative adversarial networks / Salvi, Massimo; Branciforti, Francesco; Veronese, Federica; Zavattaro, Elisa; Tarantino, Vanessa; Savoia, Paola; Meiburger, Kristen M. - In: COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE. - ISSN 0169-2607. - 225:(2022). [10.1016/j.cmpb.2022.107040] | 1-gen-2022 | Salvi, MassimoBranciforti, FrancescoMeiburger, Kristen M + | (2022) paper - dermoCC-GAN.pdf; manuscript.docx |
| Effect of low-level light therapy on diabetic foot ulcers: A near-infrared spectroscopy study / Salvi, Massimo; Rimini, Daniele; Molinari, Filippo; Bestente, Gianni; Bruno, Alberto. - In: JOURNAL OF BIOMEDICAL OPTICS. - ISSN 1083-3668. - 22:3(2017), p. 38001. [10.1117/1.JBO.22.3.038001] | 1-gen-2017 | SALVI, MASSIMORIMINI, DANIELEMOLINARI, FILIPPO + | - |
| Exploring the Impact of Learning Paradigms on Network Generalization: A Multi-Center IMT Study / Marzola, Francesco; Meiburger, Kristen M.; Molinari, Filippo; Salvi, Massimo. - ELETTRONICO. - (2023), pp. 1-5. (Intervento presentato al convegno 2023 24th International Conference on Digital Signal Processing (DSP) tenutosi a Rhodes (Rodos), Greece nel 11-13 June 2023) [10.1109/DSP58604.2023.10167892]. | 1-gen-2023 | Marzola, FrancescoMeiburger, Kristen M.Molinari, FilippoSalvi, Massimo | DSP2023_paper_IMT_v5.pdf; Marzola-Exploring.pdf |
| Fully Automated Muscle Ultrasound Analysis (MUSA): Robust and Accurate Muscle Thickness Measurement / Caresio, Cristina; Salvi, Massimo; Molinari, Filippo; Meiburger, KRISTEN MARIKO; Minetto, MARCO ALESSANDRO. - In: ULTRASOUND IN MEDICINE AND BIOLOGY. - ISSN 0301-5629. - ELETTRONICO. - 43:1(2017), pp. 195-205. [10.1016/j.ultrasmedbio.2016.08.032] | 1-gen-2017 | CARESIO, CRISTINASALVI, MASSIMOMOLINARI, FILIPPOMEIBURGER, KRISTEN MARIKOMINETTO, MARCO ALESSANDRO | Salvi-Fully.pdf; Meiburger-Fully_preprint.pdf |
| Fully automated quantitative assessment of hepatic steatosis in liver transplants / Salvi, Massimo; Molinaro, Luca; Metovic, Jasna; Patrono, Damiano; Romagnoli, Renato; Papotti, Mauro; Molinari, Filippo. - In: COMPUTERS IN BIOLOGY AND MEDICINE. - ISSN 0010-4825. - 123:(2020), p. 103836. [10.1016/j.compbiomed.2020.103836] | 1-gen-2020 | Salvi, MassimoMolinari, Filippo + | (2020) paper - HEPASS.pdf; Salvi_proof.pdf |
| Histopathological Classification of Canine Cutaneous Round Cell Tumors Using Deep Learning: A Multi-Center Study / Salvi, Massimo; Molinari, Filippo; Iussich, Selina; Muscatello, Luisa Vera; Pazzini, Luca; Benali, Silvia; Banco, Barbara; Abramo, Francesca; De Maria, Raffaella; Aresu, Luca. - In: FRONTIERS IN VETERINARY SCIENCE. - ISSN 2297-1769. - 8:(2021). [10.3389/fvets.2021.640944] | 1-gen-2021 | Salvi, MassimoMolinari, Filippo + | (2021) paper - ARCTA veterinari.pdf |