| 3D automatic segmentation of aortic computed tomography angiography combining multi-view 2D convolutional neural networks A Fantazzini, M Esposito, A Finotello, F Auricchio, B Pane, C Basso, ... Cardiovascular engineering and technology 11, 576-586, 2020 | 61 | 2020 |
| Deep learning to automatically segment and analyze abdominal aortic aneurysm from computed tomography angiography F Brutti, A Fantazzini, A Finotello, LO Müller, F Auricchio, B Pane, ... Cardiovascular engineering and technology, 1-13, 2022 | 15 | 2022 |
| A fully automated deep learning pipeline for micro-CT-imaging-based densitometry of lung fibrosis murine models E Vincenzi, A Fantazzini, C Basso, A Barla, F Odone, L Leo, L Mecozzi, ... Respiratory Research 23 (1), 308, 2022 | 6 | 2022 |
| Artificial intelligence application to screen abdominal aortic aneurysm using computed tomography angiography G Spinella, A Fantazzini, A Finotello, E Vincenzi, GA Boschetti, F Brutti, ... Journal of Digital Imaging 36 (5), 2125-2137, 2023 | 3 | 2023 |
| Automatic 3D Segmentation and Identification of Anomalous Aortic Origin of the Coronary Arteries Combining Multi-view 2D Convolutional Neural Networks AF Pascaner, A Rosato, A Fantazzini, E Vincenzi, C Basso, F Secchi, ... Journal of Imaging Informatics in Medicine, 1-8, 2024 | | 2024 |
| An automatic tool performing functional analysis in MR urography in children E Vincenzi, A Fantazzini, M Gulino, S Manini, A Verri, F Odone, L Basso, ... 2023 IEEE 36th International Symposium on Computer-Based Medical Systems …, 2023 | | 2023 |
