Archivio Istituzionale della RicercaMARZOLA, FRANCESCO
MARZOLA, FRANCESCO
Dipartimento di Ingegneria Meccanica e Aerospaziale
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Risultati 1 - 11 di 11 (tempo di esecuzione: 0.035 secondi).
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.
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.
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.
Deep learning segmentation of transverse musculoskeletal ultrasound images for neuromuscular disease assessment
2021 Marzola, Francesco; van Alfen, Nens; Doorduin, Jonne; Meiburger, Kristen M.
Carotid Ultrasound Boundary Study (CUBS): An Open Multicenter Analysis of Computerized Intima–Media Thickness Measurement Systems and Their Clinical Impact
2021 Meiburger, K. M.; Zahnd, G.; Faita, F.; Loizou, C. P.; Carvalho, C.; Steinman, D. A.; Gibello, L.; Bruno, R. M.; Marzola, F.; Clarenbach, R.; Francesconi, M.; Nicolaides, A. N.; Campilho, A.; Ghotbi, R.; Kyriacou, E.; Navab, N.; Griffin, M.; Panayiotou, A. G.; Gherardini, R.; Varetto, G.; Bianchini, E.; Pattichis, C. S.; Ghiadoni, L.; Rouco, J.; Molinari, F.
Automatic segmentation of the optic nerve in transorbital ultrasound images using a deep learning approach
2021 Meiburger, Kristen M.; Naldi, Andrea; Lochner, Piergiorgio; Marzola, Francesco
Carotid Ultrasound Boundary Study (CUBS): Technical considerations on an open multi-center analysis of computerized measurement systems for intima-media thickness measurement on common carotid artery longitudinal B-mode ultrasound scans
2022 Meiburger, K. M.; Marzola, F.; Zahnd, G.; Faita, F.; Loizou, C. P.; Laine, N.; Carvalho, C.; Steinman, D. A.; Gibello, L.; Bruno, R. M.; Clarenbach, R.; Francesconi, M.; Nicolaides, A. N.; Liebgott, H.; Campilho, A.; Ghotbi, R.; Kyriacou, E.; Navab, N.; Griffin, M.; Panayiotou, A. G.; Gherardini, R.; Varetto, G.; Bianchini, E.; Pattichis, C. S.; Ghiadoni, L.; Rouco, J.; Orkisz, M.; Molinari, F.
Development of a Deep Learning–Based System for Optic Nerve Characterization in Transorbital Ultrasound Images on a Multicenter Data Set
2023 Marzola, Francesco; Lochner, Piergiorgio; Naldi, Andrea; Lemor, Robert; Stögbauer, Jakob; Meiburger, Kristen M.
Innovative temporal loss function for segmentation of fine structures in ultrasound images
2023 Marzola, Francesco; Meiburger, Kristen M.; Salvi, Massimo
Can multiple segmentation methods enhance deep learning networks generalization? A novel hybrid learning paradigm
2023 Marzola, Francesco; Meiburger, Kristen; Molinari, Filippo; Salvi, Massimo
Exploring the Impact of Learning Paradigms on Network Generalization: A Multi-Center IMT Study
2023 Marzola, Francesco; Meiburger, Kristen M.; Molinari, Filippo; Salvi, Massimo
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| 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 |
| 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 |
| 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. + | - |
| Deep learning segmentation of transverse musculoskeletal ultrasound images for neuromuscular disease assessment / Marzola, Francesco; van Alfen, Nens; Doorduin, Jonne; Meiburger, Kristen M.. - In: COMPUTERS IN BIOLOGY AND MEDICINE. - ISSN 0010-4825. - ELETTRONICO. - 135:(2021), p. 104623. [10.1016/j.compbiomed.2021.104623] | 1-gen-2021 | Francesco MarzolaKristen M. Meiburger + | 2021_USmuscleDL.pdf; USmuscleCNN_CBM-R2-final-clean.docx |
| Carotid Ultrasound Boundary Study (CUBS): An Open Multicenter Analysis of Computerized Intima–Media Thickness Measurement Systems and Their Clinical Impact / Meiburger, K. M.; Zahnd, G.; Faita, F.; Loizou, C. P.; Carvalho, C.; Steinman, D. A.; Gibello, L.; Bruno, R. M.; Marzola, F.; Clarenbach, R.; Francesconi, M.; Nicolaides, A. N.; Campilho, A.; Ghotbi, R.; Kyriacou, E.; Navab, N.; Griffin, M.; Panayiotou, A. G.; Gherardini, R.; Varetto, G.; Bianchini, E.; Pattichis, C. S.; Ghiadoni, L.; Rouco, J.; Molinari, F.. - In: ULTRASOUND IN MEDICINE AND BIOLOGY. - ISSN 0301-5629. - ELETTRONICO. - 47:8(2021), pp. 2442-2455. [10.1016/j.ultrasmedbio.2021.03.022] | 1-gen-2021 | Meiburger K. M.Marzola F.Molinari F. + | 2021_CUBS.pdf; Meiburger-Carotid.pdf |
| Automatic segmentation of the optic nerve in transorbital ultrasound images using a deep learning approach / Meiburger, Kristen M.; Naldi, Andrea; Lochner, Piergiorgio; Marzola, Francesco. - ELETTRONICO. - (2021), pp. 1-4. (Intervento presentato al convegno 2021 IEEE International Ultrasonics Symposium (IUS) tenutosi a Virtuale nel 11-16 Sept. 2021) [10.1109/IUS52206.2021.9593827]. | 1-gen-2021 | Meiburger, Kristen M.Marzola, Francesco + | 2021_IUS_OpticNerve.pdf; IUS2021-4343-final.pdf |
| Carotid Ultrasound Boundary Study (CUBS): Technical considerations on an open multi-center analysis of computerized measurement systems for intima-media thickness measurement on common carotid artery longitudinal B-mode ultrasound scans / Meiburger, K. M.; Marzola, F.; Zahnd, G.; Faita, F.; Loizou, C. P.; Laine, N.; Carvalho, C.; Steinman, D. A.; Gibello, L.; Bruno, R. M.; Clarenbach, R.; Francesconi, M.; Nicolaides, A. N.; Liebgott, H.; Campilho, A.; Ghotbi, R.; Kyriacou, E.; Navab, N.; Griffin, M.; Panayiotou, A. G.; Gherardini, R.; Varetto, G.; Bianchini, E.; Pattichis, C. S.; Ghiadoni, L.; Rouco, J.; Orkisz, M.; Molinari, F.. - In: COMPUTERS IN BIOLOGY AND MEDICINE. - ISSN 0010-4825. - ELETTRONICO. - 144:(2022), p. 105333. [10.1016/j.compbiomed.2022.105333] | 1-gen-2022 | Meiburger K. M.Marzola F.Molinari F. + | 2022_CUBS_technical.pdf; CUBStechnical_CBMpreproof.pdf |
| Development of a Deep Learning–Based System for Optic Nerve Characterization in Transorbital Ultrasound Images on a Multicenter Data Set / Marzola, Francesco; Lochner, Piergiorgio; Naldi, Andrea; Lemor, Robert; Stögbauer, Jakob; Meiburger, Kristen M.. - In: ULTRASOUND IN MEDICINE AND BIOLOGY. - ISSN 0301-5629. - STAMPA. - 49:9(2023), pp. 2060-2071. [10.1016/j.ultrasmedbio.2023.05.011] | 1-gen-2023 | Francesco MarzolaKristen M. Meiburger + | Marzola-Development.pdf |
| Innovative temporal loss function for segmentation of fine structures in ultrasound images / Marzola, Francesco; Meiburger, Kristen M.; Salvi, Massimo. - ELETTRONICO. - (2023). (Intervento presentato al convegno 2023 IEEE International Ultrasonics Symposium (IUS) tenutosi a Montreal, QC, Canada nel 03-08 September 2023) [10.1109/IUS51837.2023.10308305]. | 1-gen-2023 | Marzola, FrancescoMeiburger, Kristen M.Salvi, Massimo | (2023) proceeding - temporal loss IUS.pdf; IUS23_Francesco_Marzola.pdf |
| 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 |
| 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 |