Shot Scale Analysis in Movies by Convolutional Neural Networks. - Mattia Savardi; Alberto Signoroni; Pierangelo Migliorati; Sergio Benini (ICIP, 2018)

beta -Hemolysis Detection on Cultured Blood Agar Plates by Convolutional Neural Networks. - Mattia Savardi; Sergio Benini; Alberto Signoroni (MICCAI (2), 2018)

Automatic hemolysis identification on aligned dual-lighting images of cultured blood agar plates. - Mattia Savardi; Alessandro Ferrari; Alberto Signoroni (Comput. Methods Programs Biomed., 2018)

Who is the director of this movie? Automatic style recognition based on shot features. - Michele Svanera; Mattia Savardi; Alberto Signoroni; András Bálint Kovács; Sergio Benini (CoRR, 2018)

Combining the use of CNN classification and strength-driven compression for the robust identification of bacterial species on hyperspectral culture plate images. - Alberto Signoroni; Mattia Savardi; Mario Pezzoni; Fabrizio Guerrini; Simone Arrigoni; Giovanni Turra (IET Comput. Vis., 2018)

3DReg-i-Net: Improving Deep Learning Based 3D Registration for a Robust Real-time Alignment of Small-scale Scans. - Marco Lombardi 002; Andrea Riccardi; Mattia Savardi; Alberto Signoroni (STAG, 2019)

Who is the Film's Director? Authorship Recognition Based on Shot Features. - Michele Svanera; Mattia Savardi; Alberto Signoroni; András Bálint Kovács; Sergio Benini (IEEE Multim., 2019)

Deep Learning Meets Hyperspectral Image Analysis: A Multidisciplinary Review. - Alberto Signoroni; Mattia Savardi; Annalisa Baronio; Sergio Benini (J. Imaging, 2019)

Deep-learning Alignment for Handheld 3D Acquisitions: A new Densematch Dataset for an Extended Comparison. - Marco Lombardi 002; Mattia Savardi; Alberto Signoroni (STAG, 2020)

End-to-end learning for semiquantitative rating of COVID-19 severity on Chest X-rays. - Alberto Signoroni; Mattia Savardi; Sergio Benini; Nicola Adami; Riccardo Leonardi; Paolo Gibellini; Filippo Vaccher; Marco Ravanelli; Andrea Borghesi; Roberto Maroldi; Davide Farina (CoRR, 2020)

Cross-domain assessment of deep learning-based alignment solutions for real-time 3D reconstruction. - Marco Lombardi 002; Mattia Savardi; Alberto Signoroni (Comput. Graph., 2021)

BS-Net: Learning COVID-19 pneumonia severity on a large chest X-ray dataset. - Alberto Signoroni; Mattia Savardi; Sergio Benini; Nicola Adami; Riccardo Leonardi; Paolo Gibellini; Filippo Vaccher; Marco Ravanelli; Andrea Borghesi; Roberto Maroldi; Davide Farina (Medical Image Anal., 2021)

Deep Tracking for Robust Real-time Object Scanning. - Marco Lombardi 002; Mattia Savardi; Alberto Signoroni (STAG, 2022)

Automatic Indexing of Virtual Camera Features from Japanese Anime. - Gianluca Gualandris; Mattia Savardi; Alberto Signoroni; Sergio Benini (ICIAP Workshops (1), 2022)

On the Influence of Shot Scale on Film Mood and Narrative Engagement in Film Viewers. - Sergio Benini; Mattia Savardi; Katalin Bálint; András Bálint Kovács; Alberto Signoroni (IEEE Trans. Affect. Comput., 2022)

Medical image interpretation challenges and research activities of the tAImedIA group at UniBS. - Alberto Signoroni; Mattia Savardi; Davide Farina; Sergio Benini; Edoardo Coppola; Damiano Ferrari; Mauro Massussi; Salvatore Curello; Michele Svanera; Giuseppe D'Ancona (Ital-IA, 2023)

Explainable AI for COVID-19 prognosis from early chest x-ray and clinical data in the context of the COVID-CXR international hackathon. - Edoardo Coppola; Damiano Ferrari; Mattia Savardi; Alberto Signoroni (Computer-Aided Diagnosis, 2023)

Recognition of Camera Angle and Camera Level in Movies from Single Frames. - Mattia Savardi; András Bálint Kovács; Alberto Signoroni; Sergio Benini (IMX Workshops, 2023)

Bimodal ECG-PCG Cardiovascular Disease Detection: a Close Look at Transfer Learning and Data Collection Issues. - Alessia Calzoni; Mattia Savardi; Alberto Signoroni (HC@AIxIA, 2024)

Lidar Depth Map Guided Image Compression Model. - Alessandro Gnutti; Stefano Della Fiore; Mattia Savardi; Yi-Hsin Chen; Riccardo Leonardi; Wen-Hsiao Peng (ICIP, 2024)

Fighting the scanner effect in brain MRI segmentation with a progressive level-of-detail network trained on multi-site data. - Michele Svanera; Mattia Savardi; Alberto Signoroni; Sergio Benini; Lars Muckli (Medical Image Anal., 2024)

Exploring the Creative Potential of AI in Filmmaking. - Zhijun Pan; Sergio Benini; Mick Grierson; Mattia Savardi; Tim J. Smith (Creativity & Cognition, 2025)