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Leonardo Crespi
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2020 – today
- 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
- [c4]Leonardo Crespi
, Paolo Roncaglioni, Damiano Dei, Ciro Franzese, Nicola Lambri, Daniele Loiacono, Pietro Mancosu
Ensemble Methods for Multi-Organ Segmentation in CT series. CBMS 2023: 505-510 - [c3]Leonardo Crespi
Comparing Adversarial and Supervised Learning for Organs at Risk Segmentation in CT images. CBMS 2023: 567-572 - [i3]Leonardo Crespi
Comparing Adversarial and Supervised Learning for Organs at Risk Segmentation in CT images. CoRR abs/2303.17941 (2023) - [i2]Leonardo Crespi
Ensemble Methods for Multi-Organ Segmentation in CT Series. CoRR abs/2303.17956 (2023) - 2022
- [c2]Leonardo Crespi
Are 3D better than 2D Convolutional Neural Networks for Medical Imaging Semantic Segmentation? IJCNN 2022: 1-8 - 2021
- [c1]Leonardo Crespi
Chest X-Rays Image Classification from $\beta{-}$ Variational Autoencoders Latent Features. SSCI 2021: 1-8 - [i1]Leonardo Crespi, Daniele Loiacono, Arturo Chiti:
Chest X-Rays Image Classification from beta-Variational Autoencoders Latent Features. CoRR abs/2109.14760 (2021)
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last updated on 2024-10-07 21:16 CEST by the dblp team
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