SAVARDI, Mattia
SAVARDI, Mattia
Dipartimento di Specialità Medico-Chirurgiche, Scienze Radiologiche e Sanità Pubblica
3D Scanning of Surgical Specimens to Improve Communication Between Surgeon and Pathologist: A Head and Neck Pilot Study
2024-01-01 Rampinelli, Vittorio; Mattavelli, Davide; Borsetto, Daniele; Kennedy, Robert; Ferrari, Marco; Savardi, Mattia; Deganello, Alberto; Nicolai, Piero; Doglietto, Francesco; Piazza, Cesare; Signoroni, Alberto
3DReg-i-Net: Improving deep learning based 3D registration for a robust real-time alignment of small-scale scans
2019-01-01 Lombardi, M.; Riccardi, A.; Savardi, M.; Signoroni, A.
Artificial intelligence and sensory assessment of hair assembly features: a combined approach
2020-01-01 Daniels, G.; Tamburic, S.; Benini, S.; Savardi, M.; Randall, J.; Sanderson, T.
Artificial Intelligence for Assessing Hair Assembly Features
2021-01-01 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
2021-01-01 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
2022-01-01 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
2018-01-01 Savardi, Mattia; Ferrari, Alessandro; Signoroni, Alberto
Automatic Indexing of Virtual Camera Features from Japanese Anime
2022-01-01 Gualandris, Gianluca; Savardi, Mattia; Signoroni, Alberto; Benini, Sergio
Bimodal ECG-PCG Cardiovascular Disease Detection: a Close Look at Transfer Learning and Data Collection Issues
2024-01-01 Calzoni, A.; Savardi, M.; Signoroni, A.
BS-Net: Learning COVID-19 pneumonia severity on a large chest X-ray dataset
2021-01-01 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
2023-01-01 Savardi, M.; Kovács, A. B.; Signoroni, A.; Benini, S.
CineScale: A dataset of cinematic shot scale in movies
2021-01-01 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
2023-01-01 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
2018-01-01 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
2021-01-01 Lombardi, Marco; Savardi, Mattia; Signoroni, Alberto
Deep Learning Meets Hyperspectral Image Analysis: A Multidisciplinary Review
2019-01-01 Signoroni, Alberto; Savardi, Mattia; Baronio, Annalisa; Benini, Sergio
Deep learning to detect significant coronary artery disease from plain chest radiographs AI4CAD
2022-01-01 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
2023-01-01 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
2024-01-01 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
2023-01-01 Ferrari, D.; Savardi, M.; Fracasso, A.; Muckli, L.; Benini, S.; Signoroni, A.; Svanera, and M.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| 3D Scanning of Surgical Specimens to Improve Communication Between Surgeon and Pathologist: A Head and Neck Pilot Study | 1-gen-2024 | Rampinelli, Vittorio; Mattavelli, Davide; Borsetto, Daniele; Kennedy, Robert; Ferrari, Marco; Savardi, Mattia; Deganello, Alberto; Nicolai, Piero; Doglietto, Francesco; Piazza, Cesare; Signoroni, Alberto | |
| 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 | |
| Bimodal ECG-PCG Cardiovascular Disease Detection: a Close Look at Transfer Learning and Data Collection Issues | 1-gen-2024 | Calzoni, A.; Savardi, M.; Signoroni, A. | |
| 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. |