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2020 – today
- 2022
[j1]Simone Saitta
, Francesco Sturla, Alessandro Caimi, Alessandra Riva, Maria Chiara Palumbo, Giovanni Nano, Emiliano Votta, Alessandro Della Corte, Mattia Glauber, Dante Chiappino, Massimiliano M. Marrocco-Trischitta, Alberto Redaelli:
A Deep Learning-Based and Fully Automated Pipeline for Thoracic Aorta Geometric Analysis and Planning for Endovascular Repair from Computed Tomography. J. Digit. Imaging 35(2): 226-239 (2022)
2010 – 2019
- 2018
- [i4]Gianmarco Santini, Lorena M. Zumbo, Nicola Martini, Gabriele Valvano, Andrea Leo, Andrea Ripoli, Francesco Avogliero, Dante Chiappino, Daniele Della Latta:
Synthetic contrast enhancement in cardiac CT with Deep Learning. CoRR abs/1807.01779 (2018) - [i3]Gabriele Valvano, Gianmarco Santini, Nicola Martini, Andrea Ripoli, Chiara Iacconi, Dante Chiappino, Daniele Della Latta:
Convolutional Neural Networks for the segmentation of microcalcification in Mammography Imaging. CoRR abs/1809.03788 (2018) - [i2]Gabriele Valvano, Nicola Martini, Andrea Leo, Gianmarco Santini, Daniele Della Latta, Emiliano Ricciardi, Dante Chiappino:
Training of a Skull-Stripping Neural Network with efficient data augmentation. CoRR abs/1810.10853 (2018) - 2017
- [i1]Gianmarco Santini, Daniele Della Latta, Nicola Martini, Giuseppe Valvano, A. Gori, Andrea Ripoli, C. L. Susini, Luigi Landini, Dante Chiappino:
An automatic deep learning approach for coronary artery calcium segmentation. CoRR abs/1710.03023 (2017) - 2015
- [c1]Giuseppe Valvano, Nicola Martini, Maria Filomena Santarelli, Dante Chiappino, Luigi Landini:
A novel 3D Cartesian random sampling strategy for Compressive Sensing Magnetic Resonance Imaging. EMBC 2015: 7502-7505
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