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2020 – today
- 2024
[j24]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. Medical Image Anal. 93: 103090 (2024)- 2023
- [c41]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 - [c40]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. Medical Imaging: Computer-Aided Diagnosis 2023 - [c39]Mattia Savardi, András Bálint Kovács, Alberto Signoroni, Sergio Benini:
Recognition of Camera Angle and Camera Level in Movies from Single Frames. IMX Workshops 2023: 79-85 - 2022
- [j23]Sergio Benini, Mattia Savardi, Katalin Bálint, András Bálint Kovács, Alberto Signoroni:
On the Influence of Shot Scale on Film Mood and Narrative Engagement in Film Viewers. IEEE Trans. Affect. Comput. 13(2): 592-603 (2022) - [c38]Marco Lombardi, Mattia Savardi, Alberto Signoroni:
Deep Tracking for Robust Real-time Object Scanning. STAG 2022: 111-113 - [c37]Gianluca Gualandris, Mattia Savardi, Alberto Signoroni, Sergio Benini:
Automatic Indexing of Virtual Camera Features from Japanese Anime. ICIAP Workshops (1) 2022: 186-197 - [i4]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
- [j22]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) - [j21]Alberto Signoroni, Mattia Savardi, Sergio Benini, Nicola Adami, Riccardo Leonardi, Paolo Gibellini, Filippo Vaccher, Marco Ravanelli, Andrea Borghesi, Roberto Maroldi, Davide Farina:
BS-Net: Learning COVID-19 pneumonia severity on a large chest X-ray dataset. Medical Image Anal. 71: 102046 (2021) - 2020
- [j20]Dennis Bontempi, Sergio Benini, Alberto Signoroni, Michele Svanera, Lars Muckli:
CEREBRUM: a fast and fully-volumetric Convolutional Encoder-decodeR for weakly-supervised sEgmentation of BRain strUctures from out-of-the-scanner MRI. Medical Image Anal. 62: 101688 (2020) - [j19]Alberto Signoroni, Mauro Conte, Alice Plutino, Alessandro Rizzi:
Spatial-Spectral Evidence of Glare Influence on Hyperspectral Acquisitions. Sensors 20(16): 4374 (2020) - [c36]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 - [i3]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
- [j18]Marco Livesu, Giovanni Pintore, Alberto Signoroni:
Foreword to the Special Section on Smart Tools and Applications in Computer Graphics (STAG 2018). Comput. Graph. 82: 10- (2019) - [j17]Michele Svanera, Mattia Savardi, Alberto Signoroni, András Bálint Kovács, Sergio Benini:
Who is the Film's Director? Authorship Recognition Based on Shot Features. IEEE Multim. 26(4): 43-54 (2019) - [j16]Alberto Signoroni, Mattia Savardi, Annalisa Baronio, Sergio Benini:
Deep Learning Meets Hyperspectral Image Analysis: A Multidisciplinary Review. J. Imaging 5(5): 52 (2019) - [c35]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 - [i2]Dennis Bontempi, Sergio Benini, Alberto Signoroni, Michele Svanera, Lars Muckli:
CEREBRUM: a fast and fully-volumetric Convolutional Encoder-decodeR for weakly-supervised sEgmentation of BRain strUctures from out-of-the-scanner MRI. CoRR abs/1909.05085 (2019) - 2018
- [j15]Marco Centin, Alberto Signoroni:
Advancing mesh completion for digital modeling and manufacturing. Comput. Aided Geom. Des. 62: 73-90 (2018) - [j14]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) - [j13]Alberto Signoroni, Mattia Savardi, Mario Pezzoni, Fabrizio Guerrini, Simone Arrigoni, Giovanni Turra:
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) - [j12]Marco Centin, Alberto Signoroni:
Mesh Denoising with (Geo)Metric Fidelity. IEEE Trans. Vis. Comput. Graph. 24(8): 2380-2396 (2018) - [c34]A. Morsucci, Marco Centin, Alberto Signoroni:
Fast Centroidal Deformation for Large Mesh Models. STAG 2018: 97-106 - [c33]Mattia Savardi, Alberto Signoroni, Pierangelo Migliorati, Sergio Benini:
Shot Scale Analysis in Movies by Convolutional Neural Networks. ICIP 2018: 2620-2624 - [c32]Mattia Savardi, Sergio Benini, Alberto Signoroni:
\beta -Hemolysis Detection on Cultured Blood Agar Plates by Convolutional Neural Networks. MICCAI (2) 2018: 30-38 - [e1]Alberto Signoroni, Marco Livesu, Marco Agus:
Italian Chapter Conference 2018 - Smart Tools and Apps in computer Graphics, STAG 2018, Brescia, Italy, October 18-19, 2018. Eurographics Association 2018, ISBN 978-3-03868-075-8 [contents] - [i1]Michele Svanera, Mattia Savardi, Alberto Signoroni, András Bálint Kovács, Sergio Benini:
Who is the director of this movie? Automatic style recognition based on shot features. CoRR abs/1807.09560 (2018) - 2017
- [j11]Simone Arrigoni, Giovanni Turra, Alberto Signoroni:
Hyperspectral image analysis for rapid and accurate discrimination of bacterial infections: A benchmark study. Comput. Biol. Medicine 88: 60-71 (2017) - [j10]Alessandro Ferrari, Stefano Lombardi, Alberto Signoroni:
Bacterial colony counting with Convolutional Neural Networks in Digital Microbiology Imaging. Pattern Recognit. 61: 629-640 (2017) - [c31]Massimo Mauro, Sergio Benini, Nicola Adami, Alberto Signoroni, Riccardo Leonardi, Luca Canini:
A free Web API for single and multi-document summarization. CBMI 2017: 24:1-24:5 - [c30]Giovanni Turra, Simone Arrigoni, Alberto Signoroni:
CNN-Based Identification of Hyperspectral Bacterial Signatures for Digital Microbiology. ICIAP (2) 2017: 500-510 - 2015
- [j9]Marco Centin, Nicola Pezzotti, Alberto Signoroni:
Poisson-driven seamless completion of triangular meshes. Comput. Aided Geom. Des. 35-36: 42-55 (2015) - [c29]Marco Centin, Alberto Signoroni:
RameshCleaner: Conservative Fixing of Triangular Meshes. STAG 2015: 129-138 - [c28]Giovanni Turra, Nicola Conti, Alberto Signoroni:
Hyperspectral image acquisition and analysis of cultured bacteria for the discrimination of urinary tract infections. EMBC 2015: 759-762 - [c27]Alessandro Gnutti, Alberto Signoroni, Riccardo Leonardi, Michela Corsini, Marco Presta, Stefania Mitola:
A tool for the quantification of radial neo-vessels in chick chorioallantoic membrane angiogenic assays. EMBC 2015: 763-766 - [c26]Alessandro Ferrari, Stefano Lombardi, Alberto Signoroni:
Bacterial colony counting by Convolutional Neural Networks. EMBC 2015: 7458-7461 - 2014
- [j8]Francesco Bonarrigo, Alberto Signoroni, Mario Botsch:
Deformable registration using patch-wise shape matching. Graph. Model. 76(5): 554-565 (2014) - [j7]Francesco Bonarrigo, Alberto Signoroni:
Global registration of large collections of range images with an improved Optimization-on-a-Manifold approach. Image Vis. Comput. 32(6-7): 437-451 (2014) - [c25]Massimo Mauro, Hayko Riemenschneider, Alberto Signoroni, Riccardo Leonardi, Luc Van Gool:
An Integer Linear Programming Model for View Selection on Overlapping Camera Clusters. 3DV 2014: 464-471 - [c24]Massimo Mauro, Hayko Riemenschneider, Alberto Signoroni, Riccardo Leonardi, Luc Van Gool:
A unified framework for content-aware view selection and planning through view importance. BMVC 2014 - 2013
- [c23]Francesco Bonarrigo, Nicola Pezzotti, Alberto Signoroni:
On-the-fly automatic alignment and global registration of free-path collected 3D scans. Digital Heritage (1) 2013: 181-184 - [c22]Davide Davelli, Alberto Signoroni:
Automatic mapping of uncalibrated pictures on dense 3D point clouds. ISPA 2013: 576-581 - 2012
- [j6]Francesco Bonarrigo, Alberto Signoroni, Riccardo Leonardi:
Multi-view alignment with database of features for an improved usage of high-end 3D scanners. EURASIP J. Adv. Signal Process. 2012: 148 (2012) - [c21]Nicola Pezzotti, Francesco Bonarrigo, Alberto Signoroni:
Boosting the Computational Performance of Feature-Based Multiple 3D Scan Alignment by iat-k-means Clustering. 3DIMPVT 2012: 89-96 - [c20]Alberto Signoroni, Mario Pezzoni, Claudia Tonoli, Riccardo Leonardi:
A comparison of state-of-the-art technologies for irreversible compression of large medical datasets. CBMS 2012: 1-6 - 2011
- [c19]Francesco Bonarrigo, Alberto Signoroni:
An Enhanced 'Optimization-on-a-Manifold' Framework for Global Registration of 3D Range Data. 3DIMPVT 2011: 350-357 - [c18]Francesco Bonarrigo, Alberto Signoroni, Riccardo Leonardi:
A robust pipeline for rapid feature-based pre-alignment of dense range scans. ICCV 2011: 2260-2267 - [c17]Alberto Signoroni, Mario Pezzoni, Riccardo Leonardi:
3D-PMDC: A parallelized morphological wavelet codec for 3D medical datasets and teleradiology applications. ICIP 2011: 329-332 - 2010
- [j5]Roberto Rinaldo, Alberto Signoroni, Raouf Hamzaoui, Bo Yan, Wenjun Zhang, Riccardo Bernardini, Francesco G. B. De Natale, Yi Qian, Rastislav Lukac, Anthony Vetro, Peng Yin, Houqiang Li:
Introduction of the TCSVT Associate Editors. IEEE Trans. Circuits Syst. Video Technol. 20(2): 167-171 (2010) - [c16]Alberto Signoroni, G. Zanetti, R. Grazioli, Riccardo Leonardi:
Watershed segmentation of medical volumes with paint drop marking. ICIP 2010: 2561-2564 - [c15]Francesco Bonarrigo, Alberto Signoroni, Riccardo Leonardi, Matteo Carocci:
A multiscale feature extraction approach for 3D range images. WIAMIS 2010: 1-4
2000 – 2009
- 2008
- [c14]Alberto Signoroni, Stefano Masneri, Riccardo Leonardi, Isabella Castiglioni:
Inter-modal selective 3D coding of PET-CT datasets. EUSIPCO 2008: 1-5 - 2007
- [j4]Nicola Adami, Alberto Signoroni, Riccardo Leonardi:
State-of-the-Art and Trends in Scalable Video Compression With Wavelet-Based Approaches. IEEE Trans. Circuits Syst. Video Technol. 17(9): 1238-1255 (2007) - [c13]Alberto Signoroni, Riccardo Leonardi:
Two-way interactive refinement of segmented medical volumes. ICIAP 2007: 697-704 - [c12]Livio Lima, Francesca Manerba, Nicola Adami, Alberto Signoroni, Riccardo Leonardi:
Wavelet-Based Encoding for HD Applications. ICME 2007: 1351-1354 - 2006
- [j3]Riccardo Leonardi, Alberto Signoroni:
Cyclostationary error analysis and filter properties in a 3D wavelet coding framework. Signal Process. Image Commun. 21(8): 653-675 (2006) - 2005
- [c11]Nicola Adami, Pietro Gallina, Riccardo Leonardi, Alberto Signoroni:
Progressive Contour Coding in the Wavelet Domain. VLBV 2005: 179-188 - 2003
- [j2]Fabio Lazzaroni, Riccardo Leonardi, Alberto Signoroni:
High-performance embedded morphological wavelet coding. IEEE Signal Process. Lett. 10(10): 293-295 (2003) - [j1]Alberto Signoroni, Fabio Lazzaroni, Riccardo Leonardi:
Exploitation and extension of the region-of-interest coding functionalities in JPEG2000. IEEE Trans. Consumer Electron. 49(4): 818-823 (2003) - [c10]Alberto Signoroni, Riccardo Leonardi, Francesca Manerba:
Opacity modulation for interactive volume rendering of medical images. Medical Imaging: Image-Guided Procedures 2003 - [c9]Alberto Signoroni, Fabio Lazzaroni, Riccardo Leonardi:
Selective coding with controlled quality decay for 2D and 3D images in a JPEG2000 framework. VCIP 2003: 830-841 - 2002
- [c8]Alberto Signoroni, Riccardo Leonardi:
Volume simplification and segmentation by 3D connected operators. EUSIPCO 2002: 1-4 - [c7]Fabio Lazzaroni, Alberto Signoroni, Riccardo Leonardi:
Embedded morphological dilation coding for 2D and 3D images. VCIP 2002: 923-934 - 2001
- [c6]Alberto Signoroni, Riccardo Leonardi:
Modeling and reduction of PSNR fluctuations in 3D wavelet coding. ICIP (3) 2001: 812-815 - 2000
- [c5]Alberto Signoroni, Riccardo Leonardi:
Diagnostic compression of biomedical volumes. EUSIPCO 2000: 1-4 - [c4]Sergio Benini, E. Boniotti, Riccardo Leonardi, Alberto Signoroni:
Interactive Segmentation of Biomedical Images and Volumes Using Connected Operators. ICIP 2000: 452-455
1990 – 1999
- 1999
- [c3]Alberto Signoroni, Alessandro Bianchi, Piero Mussio, Riccardo Leonardi:
Design of a Visual Environment for Evaluating and Customizing Medical Image Compression Techniques. ICIAP 1999: 1021-1026 - 1998
- [c2]Alberto Signoroni, Riccardo Leonardi:
Progressive medical image compression using a diagnostic quality measure on regions-of-interest. EUSIPCO 1998: 1-4 - 1997
- [c1]Riccardo Leonardi, Andrea Mazzarri, Alberto Signoroni:
Decimated wavelet representation of images-application to compression. ICASSP 1997: 3017-3020
Coauthor Index
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