SALVI, MASSIMO

SALVI, MASSIMO  

Dipartimento di Elettronica e Telecomunicazioni  

038112  

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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_.pdfRINGS_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.pdfEMBC_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.docxMarzola-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.pdfMRItexture.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.pdfmanuscript.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.pdfMarzola-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.pdfMeiburger-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.pdfSalvi_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