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Savardi, Mattia

Savardi, Mattia  

Dipartimento di Specialità Medico-Chirurgiche, Scienze Radiologiche e Sanità Pubblica  

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Titolo Data di pubblicazione Autore(i) File
3DReg-i-Net: Improving deep learning based 3D registration for a robust real-time alignment of small-scale scans 1-gen-2019 Lombardi, M.; Riccardi, A.; Savardi, M.; Signoroni, A.
Artificial intelligence and sensory assessment of hair assembly features: a combined approach 1-gen-2020 Daniels, G.; Tamburic, S.; Benini, S.; Savardi, M.; Randall, J.; Sanderson, T.
Artificial Intelligence for Assessing Hair Assembly Features 1-gen-2021 Daniels, Gabriela; Tamburic, Slobodanka; Benini, Sergio; Savardi, Mattia; Randall, Jane; Sanderson, Tracey
Artificial Intelligence in hair research: a proof-of-concept study on evaluating hair assembly features 1-gen-2021 Daniels, Gabriela; Tamburic, Slobodanka; Benini, Sergio; Randall, Jane; Sanderson, Tracey; Savardi, Mattia
Assessing Trustworthy AI in times of COVID-19. Deep Learning for predicting a multi-regional score conveying the degree of lung compromise in COVID-19 patients 1-gen-2022 Allahabadi, Himanshi; Amann, Julia; Balot, Isabelle; Beretta, Andrea; Binkley, Charles; Bozenhard, Jonas; Bruneault, Frederick; Brusseau, James; Candemir, Sema; Cappellini, Luca Alessandro; Castagnet, Genevieve Fieux; Chakraborty, Subrata; Cherciu, Nicoleta; Cociancig, Christina; Coffee, Megan; Ek, Irene; Espinosa-Leal, Leonardo; Farina, Davide; Fieux-Castagnet, Genevieve; Frauenfelder, Thomas; Gallucci, Alessio; Giuliani, Guya; Golda, Adam; van Halem, Irmhild; Hildt, Elisabeth; Holm, Sune; Kararigas, Georgios; Krier, Sebastien A.; Kuhne, Ulrich; Lizzi, Francesca; Madai, Vince I.; Markus, Aniek F.; Masis, Serg; Mathez, Emilie Wiinblad; Mureddu, Francesco; Neri, Emanuele; Osika, Walter; Ozols, Matiss; Panigutti, Cecilia; Parent, Brendan; Pratesi, Francesca; Moreno-Sanchez, Pedro A.; Sartor, Giovanni; Savardi, Mattia; Signoroni, Alberto; Sormunen, Hanna; Spezzatti, Andy; Srivastava, Adarsh; Stephansen, Annette F.; Theng, Lau Bee; Tithi, Jesmin Jahan; Tuominen, Jarno; Umbrello, Steven; Vaccher, Filippo; Vetter, Dennis; Westerlund, Magnus; Wurth, Renee; Zicari, Roberto V.
Automatic hemolysis identification on aligned dual-lighting images of cultured blood agar plates 1-gen-2018 Savardi, Mattia; Ferrari, Alessandro; Signoroni, Alberto
Automatic Indexing of Virtual Camera Features from Japanese Anime 1-gen-2022 Gualandris, Gianluca; Savardi, Mattia; Signoroni, Alberto; Benini, Sergio
BS-Net: Learning COVID-19 pneumonia severity on a large chest X-ray dataset 1-gen-2021 Signoroni, A.; Savardi, M.; Benini, S.; Adami, N.; Leonardi, R.; Gibellini, P.; Vaccher, F.; Ravanelli, M.; Borghesi, A.; Maroldi, R.; Farina, D.
CineScale2: a dataset of cinematic camera features in movies 1-gen-2023 Savardi, M.; Kovács, A. B.; Signoroni, A.; Benini, S.
CineScale: A dataset of cinematic shot scale in movies 1-gen-2021 Savardi, M.; Kovacs, A. B.; Signoroni, A.; Benini, S.
Clinical variables associated with late-onset thrombotic and cardiovascular events, after SARS-CoV-2 infection, in a cohort of patients from the first epidemic wave: an 18-month analysis on the “Surviving-COVID” cohort from Bergamo, Italy 1-gen-2023 Benatti, S. V.; Venturelli, S.; Crotti, G.; Ghirardi, A.; Binda, F.; Savardi, M.; Previtali, G.; Seghezzi, M.; Marozzi, R.; Corsi, A.; Bonaffini, P. A.; Gori, M.; Falanga, A.; Signoroni, A.; Alessio, M. G.; Zucchi, A.; Barbui, T.; Rizzi, M.
Combining the use of CNN classification and strength-driven compression for the robust identification of bacterial species on hyperspectral culture plate images 1-gen-2018 Signoroni, Alberto; Savardi, Mattia; Pezzoni, Mario; Guerrini, Fabrizio; Arrigoni, Simone; Turra, Giovanni
Cross-domain assessment of deep learning-based alignment solutions for real-time 3D reconstruction 1-gen-2021 Lombardi, Marco; Savardi, Mattia; Signoroni, Alberto
Deep Learning Meets Hyperspectral Image Analysis: A Multidisciplinary Review 1-gen-2019 Signoroni, Alberto; Savardi, Mattia; Baronio, Annalisa; Benini, Sergio
Deep learning to detect significant coronary artery disease from plain chest radiographs AI4CAD 1-gen-2022 D'Ancona, Giuseppe; Massussi, Mauro; Savardi, Mattia; Signoroni, Alberto; Di Bacco, Lorenzo; Farina, Davide; Metra, Marco; Maroldi, Roberto; Muneretto, Claudio; Ince, Hüseyin; Costabile, Davide; Murero, Monica; Chizzola, Giuliano; Curello, Salvatore; Benussi, Stefano
Deep learning to predict long-term mortality from plain chest radiographs in patients referred for suspected angina 1-gen-2023 D'Ancona, G; Savardi, M; Massussi, M; Van Der Valk, V; Signoroni, A; Farina, D; Ince, H; Benussi, S; Curello, S; Arslan, F
Deep learning to predict long-term mortality from plain chest X-ray in patients referred for suspected coronary artery disease 1-gen-2024 D'Ancona, Giuseppe; Savardi, Mattia; Massussi, Mauro; Van Der Valk, Viktor; Scherptong, Roderick W C; Signoroni, Alberto; Farina, Davide; Murero, Monica; Ince, Hüseyin; Benussi, Stefano; Curello, Salvatore; Arslan, Fatih
DeepThickness: A Deep Learning Method for Brain MRI Cortical Thickness Estimation 1-gen-2023 Ferrari, D.; Savardi, M.; Fracasso, A.; Muckli, L.; Benini, S.; Signoroni, A.; Svanera, and M.
DeepThickness: A Deep Learning Method for Brain MRI Cortical Thickness Estimation 1-gen-2023 Ferrari, D.; Savardi, M.; Fracasso, A.; Muckli, L.; Benini, S.; Signoroni, A.; Svanera, and M.
DeepThickness: A Deep Learning Method for Brain MRI Cortical Thickness Estimation 1-gen-2023 Ferrari, D.; Savardi, M.; Fracasso, A.; Muckli, L.; Benini, S.; Signoroni, A.; Svanera, and M.