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Conference and Workshop Papers
- 2023
[c4]Leonardo Crespi
, Paolo Roncaglioni, Damiano Dei, Ciro Franzese, Nicola Lambri, Daniele Loiacono, Pietro Mancosu, Marta Scorsetti:
Ensemble Methods for Multi-Organ Segmentation in CT series. CBMS 2023: 505-510- [c3]Leonardo Crespi, Mattia Portanti, Daniele Loiacono:
Comparing Adversarial and Supervised Learning for Organs at Risk Segmentation in CT images. CBMS 2023: 567-572 - 2022
- [c2]Leonardo Crespi, Daniele Loiacono, Pierandrea Sartori:
Are 3D better than 2D Convolutional Neural Networks for Medical Imaging Semantic Segmentation? IJCNN 2022: 1-8 - 2021
- [c1]Leonardo Crespi, Daniele Loiacono, Arturo Chiti:
Chest X-Rays Image Classification from $\beta{-}$ Variational Autoencoders Latent Features. SSCI 2021: 1-8
Informal and Other Publications
- 2024
- [i4]Leonardo Crespi, Samuele Camnasio, Damiano Dei, Nicola Lambri, Pietro Mancosu, Marta Scorsetti, Daniele Loiacono:
Leveraging Multimodal CycleGAN for the Generation of Anatomically Accurate Synthetic CT Scans from MRIs. CoRR abs/2407.10888 (2024) - 2023
- [i3]Leonardo Crespi, Mattia Portanti, Daniele Loiacono:
Comparing Adversarial and Supervised Learning for Organs at Risk Segmentation in CT images. CoRR abs/2303.17941 (2023) - [i2]Leonardo Crespi, Paolo Roncaglioni, Damiano Dei, Ciro Franzese, Nicola Lambri, Daniele Loiacono, Pietro Mancosu, Marta Scorsetti:
Ensemble Methods for Multi-Organ Segmentation in CT Series. CoRR abs/2303.17956 (2023) - 2021
- [i1]Leonardo Crespi, Daniele Loiacono, Arturo Chiti:
Chest X-Rays Image Classification from beta-Variational Autoencoders Latent Features. CoRR abs/2109.14760 (2021)
Coauthor Index
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