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Mattia Savardi
Mattia Savardi
在 unibs.it 的电子邮件经过验证
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Deep learning meets hyperspectral image analysis: A multidisciplinary review
A Signoroni, M Savardi, A Baronio, S Benini
Journal of imaging 5 (5), 52, 2019
2872019
BS-Net: Learning COVID-19 pneumonia severity on a large chest X-ray dataset
A Signoroni, M Savardi, S Benini, N Adami, R Leonardi, P Gibellini, ...
Medical Image Analysis 71, 102046, 2021
1262021
End-to-end learning for semiquantitative rating of COVID-19 severity on chest X-rays
A Signoroni, M Savardi, S Benini, N Adami, R Leonardi, P Gibellini, ...
402020
Automatic hemolysis identification on aligned dual-lighting images of cultured blood agar plates
M Savardi, A Ferrari, A Signoroni
Computer Methods and Programs in Biomedicine 156, 13-24, 2018
342018
On the influence of shot scale on film mood and narrative engagement in film viewers
S Benini, M Savardi, K Balint, AB Kovacs, A Signoroni
IEEE Transactions on Affective Computing 13 (2), 592-603, 2019
312019
Shot scale analysis in movies by convolutional neural networks
M Savardi, A Signoroni, P Migliorati, S Benini
2018 25th IEEE International Conference on Image Processing (ICIP), 2620-2624, 2018
302018
Transfer learning of deep neural network representations for fMRI decoding
M Svanera, M Savardi, S Benini, A Signoroni, G Raz, T Hendler, L Muckli, ...
Journal of neuroscience methods 328, 108319, 2019
262019
Combining the use of CNN classification and strength‐driven compression for the robust identification of bacterial species on hyperspectral culture plate images
A Signoroni, M Savardi, M Pezzoni, F Guerrini, S Arrigoni, G Turra
IET Computer Vision 12 (7), 941-949, 2018
192018
CineScale: A dataset of cinematic shot scale in movies
M Savardi, AB Kovács, A Signoroni, S Benini
Data in Brief 36, 107002, 2021
182021
Assessing trustworthy AI in times of COVID-19: deep learning for predicting a multiregional score conveying the degree of lung compromise in COVID-19 patients
H Allahabadi, J Amann, I Balot, A Beretta, C Binkley, J Bozenhard, ...
IEEE Transactions on Technology and Society 3 (4), 272-289, 2022
172022
Shaping film: A quantitative formal analysis of contemporary empathy-eliciting Hollywood cinema.
T Lankhuizen, KE Bálint, M Savardi, EA Konijn, A Bartsch, S Benini
Psychology of Aesthetics, Creativity, and the Arts 16 (4), 704, 2022
162022
Who is the film's director? Authorship recognition based on shot features
M Svanera, M Savardi, A Signoroni, AB Kovács, S Benini
IEEE MultiMedia 26 (4), 43-54, 2019
162019
Deep learning to detect significant coronary artery disease from plain chest radiographs AI4CAD
G D'Ancona, M Massussi, M Savardi, A Signoroni, L Di Bacco, D Farina, ...
International Journal of Cardiology 370, 435-441, 2023
142023
Artificial intelligence in hair research: a proof‐of‐concept study on evaluating hair assembly features
G Daniels, S Tamburic, S Benini, J Randall, T Sanderson, M Savardi
International Journal of Cosmetic Science 43 (4), 405-418, 2021
72021
Cross-domain assessment of deep learning-based alignment solutions for real-time 3D reconstruction
M Lombardi, M Savardi, A Signoroni
Computers & Graphics 99, 54-69, 2021
62021
Who is the director of this movie? Automatic style recognition based on shot features
M Svanera, M Savardi, A Signoroni, AB Kovács, S Benini
arXiv preprint arXiv:1807.09560, 2018
62018
DenseMatch: a dataset for real-time 3D reconstruction
M Lombardi, M Savardi, A Signoroni
Data in Brief 39, 107476, 2021
42021
Fighting the scanner effect in brain MRI segmentation with a progressive level-of-detail network trained on multi-site data
M Svanera, M Savardi, A Signoroni, S Benini, L Muckli
Medical Image Analysis 93, 103090, 2024
32024
Hierarchical AI enables global interpretation of culture plates in the era of digital microbiology
A Signoroni, A Ferrari, S Lombardi, M Savardi, S Fontana, K Culbreath
Nature Communications 14 (1), 6874, 2023
32023
Figaro-tresses: A dataset for evaluating hair assembly features before and after cosmetic treatment
M Savardi, G Daniels, S Tamburic, UR Muhammad, S Benini
Data in Brief 31, 105964, 2020
32020
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