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Mattia Savardi
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2020 – today
- 2024
- [j8]Michele Svanera
, Mattia Savardi, Alberto Signoroni
Fighting the scanner effect in brain MRI segmentation with a progressive level-of-detail network trained on multi-site data. Medical Image Anal. 93: 103090 (2024) - 2023
- [c9]Alberto Signoroni, Mattia Savardi, Davide Farina, Sergio Benini, Edoardo Coppola, Damiano Ferrari, Mauro Massussi, Salvatore Curello, Michele Svanera, Giuseppe D'Ancona:
Medical image interpretation challenges and research activities of the tAImedIA group at UniBS. Ital-IA 2023: 118-123 - [c8]Edoardo Coppola, Damiano Ferrari, Mattia Savardi, Alberto Signoroni:
Explainable AI for COVID-19 prognosis from early chest x-ray and clinical data in the context of the COVID-CXR international hackathon. Computer-Aided Diagnosis 2023 - [c7]Mattia Savardi
Recognition of Camera Angle and Camera Level in Movies from Single Frames. IMX Workshops 2023: 79-85 - 2022
- [j7]Sergio Benini
On the Influence of Shot Scale on Film Mood and Narrative Engagement in Film Viewers. IEEE Trans. Affect. Comput. 13(2): 592-603 (2022) - [c6]Marco Lombardi, Mattia Savardi, Alberto Signoroni:
Deep Tracking for Robust Real-time Object Scanning. STAG 2022: 111-113 - [c5]Gianluca Gualandris, Mattia Savardi
Automatic Indexing of Virtual Camera Features from Japanese Anime. ICIAP Workshops (1) 2022: 186-197 - [i3]Michele Svanera, Mattia Savardi, Alberto Signoroni, Sergio Benini, Lars Muckli:
Fighting the scanner effect in brain MRI segmentation with a progressive level-of-detail network trained on multi-site data. CoRR abs/2211.02400 (2022) - 2021
- [j6]Marco Lombardi, Mattia Savardi, Alberto Signoroni:
Cross-domain assessment of deep learning-based alignment solutions for real-time 3D reconstruction. Comput. Graph. 99: 54-69 (2021) - [j5]Alberto Signoroni
BS-Net: Learning COVID-19 pneumonia severity on a large chest X-ray dataset. Medical Image Anal. 71: 102046 (2021) - 2020
- [c4]Marco Lombardi, Mattia Savardi, Alberto Signoroni:
Deep-learning Alignment for Handheld 3D Acquisitions: A new Densematch Dataset for an Extended Comparison. STAG 2020: 101-112 - [i2]Alberto Signoroni, Mattia Savardi, Sergio Benini, Nicola Adami, Riccardo Leonardi, Paolo Gibellini, Filippo Vaccher, Marco Ravanelli, Andrea Borghesi, Roberto Maroldi, Davide Farina:
End-to-end learning for semiquantitative rating of COVID-19 severity on Chest X-rays. CoRR abs/2006.04603 (2020)
2010 – 2019
- 2019
- [j4]Michele Svanera
Who is the Film's Director? Authorship Recognition Based on Shot Features. IEEE Multim. 26(4): 43-54 (2019) - [j3]Alberto Signoroni
Deep Learning Meets Hyperspectral Image Analysis: A Multidisciplinary Review. J. Imaging 5(5): 52 (2019) - [c3]Marco Lombardi, Andrea Riccardi, Mattia Savardi, Alberto Signoroni:
3DReg-i-Net: Improving Deep Learning Based 3D Registration for a Robust Real-time Alignment of Small-scale Scans. STAG 2019: 51-60 - 2018
- [j2]Mattia Savardi, Alessandro Ferrari, Alberto Signoroni
Automatic hemolysis identification on aligned dual-lighting images of cultured blood agar plates. Comput. Methods Programs Biomed. 156: 13-24 (2018) - [j1]Alberto Signoroni
Combining the use of CNN classification and strength-driven compression for the robust identification of bacterial species on hyperspectral culture plate images. IET Comput. Vis. 12(7): 941-949 (2018) - [c2]Mattia Savardi, Alberto Signoroni, Pierangelo Migliorati, Sergio Benini:
Shot Scale Analysis in Movies by Convolutional Neural Networks. ICIP 2018: 2620-2624 - [c1]Mattia Savardi, Sergio Benini, Alberto Signoroni:
\beta -Hemolysis Detection on Cultured Blood Agar Plates by Convolutional Neural Networks. MICCAI (2) 2018: 30-38 - [i1]Michele Svanera
Who is the director of this movie? Automatic style recognition based on shot features. CoRR abs/1807.09560 (2018)
Coauthor Index
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last updated on 2024-11-28 21:23 CET by the dblp team
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