CRESPI, LEONARDO

	Nome completo
	
					CRESPI, LEONARDO
				
	Afferenza
	
					DIPARTIMENTO DI ELETTRONICA, INFORMAZIONE E BIOINGEGNERIA
				
	Pagina personale
	
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Risultati 1 - 5 di 5 (tempo di esecuzione: 0.009 secondi).

Are 3D better than 2D Convolutional Neural Networks for Medical Imaging Semantic Segmentation?

2022-01-01 Crespi, Leonardo; Loiacono, Daniele; Sartori, Pierandrea

Chest X-Rays Image Classification from $eta{-}$ Variational Autoencoders Latent Features

2021-01-01 Crespi, L.; Loiacono, D.; Chiti, A.

Comparing Adversarial and Supervised Learning for Organs at Risk Segmentation in CT images

2023-01-01 Crespi, Leonardo; Portanti, Mattia; Loiacono, Daniele

Ensemble Methods for Multi-Organ Segmentation in CT series

2023-01-01 Crespi, Leonardo; Roncaglioni, Paolo; Dei, Damiano; Franzese, Ciro; Lambri, Nicola; Loiacono, Daniele; Mancosu, Pietro; Scorsetti, Marta

PD-0318 Combining Single-Organ Deep Learning Segmentation Models for Total Marrow Irradiation

2022-01-01 Crespi, L.; Roncaglioni, P.; Dei, D.; Lambri, N.; Mancosu, P.; Loiacono, D.

Titolo	Data di pubblicazione	Autori
Are 3D better than 2D Convolutional Neural Networks for Medical Imaging Semantic Segmentation?	1-gen-2022	Crespi, LeonardoLoiacono, DanieleSartori, Pierandrea
Chest X-Rays Image Classification from $eta{-}$ Variational Autoencoders Latent Features	1-gen-2021	Crespi L.Loiacono D.Chiti A. + -
Comparing Adversarial and Supervised Learning for Organs at Risk Segmentation in CT images	1-gen-2023	Crespi, LeonardoPortanti, MattiaLoiacono, Daniele + -
Ensemble Methods for Multi-Organ Segmentation in CT series	1-gen-2023	Crespi, LeonardoRoncaglioni, PaoloDei, DamianoFranzese, CiroLambri, NicolaLoiacono, DanieleMancosu, PietroScorsetti, Marta + -
PD-0318 Combining Single-Organ Deep Learning Segmentation Models for Total Marrow Irradiation	1-gen-2022	Crespi, L.Roncaglioni, P.Dei, D.Lambri, N.Mancosu, P.Loiacono, D. + -