CAMAGNI, FRANCESCA

	Nome completo
	
					CAMAGNI, FRANCESCA
				
	Afferenza
	
					DIPARTIMENTO DI ELETTRONICA, INFORMAZIONE E BIOINGEGNERIA
				
	Pagina personale
	
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Risultati 1 - 3 di 3 (tempo di esecuzione: 0.007 secondi).

Deep-learning synthetized 4DCT from 4DMRI of the abdominal site in carbon-ion radiotherapy

2025-01-01 Nakas, Anestis; Hladchuk, Maksym; Parrella, Giovanni; Vai, Alessandro; Molinelli, Silvia; Camagni, Francesca; Vitolo, Viviana; Barcellini, Amelia; Imparato, Sara; Pella, Andrea; Ciocca, Mario; Orlandi, Ester; Paganelli, Chiara; Baroni, Guido

Generation of multimodal realistic computational phantoms as a test-bed for validating deep learning-based cross-modality synthesis techniques

2026-01-01 Camagni, Francesca; Nakas, Anestis; Parrella, Giovanni; Vai, Alessandro; Molinelli, Silvia; Vitolo, Viviana; Barcellini, Amelia; Chalaszczyk, Agnieszka; Imparato, Sara; Pella, Andrea; Orlandi, Ester; Baroni, Guido; Riboldi, Marco; Paganelli, Chiara

Validating an explainable radiomics approach in non-small cell lung cancer combining high energy physics with clinical and biological analyses

2025-01-01 Monteleone, Mariagrazia; Camagni, Francesca; Percio, Stefano; Morelli, Letizia; Baroni, Guido; Gennai, Simone; Govoni, Pietro; Paganelli, Chiara

Titolo	Data di pubblicazione	Autori
Deep-learning synthetized 4DCT from 4DMRI of the abdominal site in carbon-ion radiotherapy	1-gen-2025	Nakas, AnestisHladchuk, MaksymParrella, GiovanniVai, AlessandroMolinelli, SilviaCamagni, FrancescaVitolo, VivianaBarcellini, AmeliaImparato, SaraPella, AndreaCiocca, MarioOrlandi, EsterPaganelli, ChiaraBaroni, Guido + -
Generation of multimodal realistic computational phantoms as a test-bed for validating deep learning-based cross-modality synthesis techniques	1-gen-2026	Camagni, FrancescaNakas, AnestisParrella, GiovanniVai, AlessandroMolinelli, SilviaVitolo, VivianaBarcellini, AmeliaChalaszczyk, AgnieszkaImparato, SaraPella, AndreaOrlandi, EsterBaroni, GuidoRiboldi, MarcoPaganelli, Chiara + -
Validating an explainable radiomics approach in non-small cell lung cancer combining high energy physics with clinical and biological analyses	1-gen-2025	Monteleone, MariagraziaCamagni, FrancescaPercio, StefanoMorelli, LetiziaBaroni, GuidoGennai, SimoneGovoni, PietroPaganelli, Chiara + -

RE.PUBLIC@POLIMI pubblicazioni di ricerca del Politecnico di Milano

CAMAGNI, FRANCESCA

Deep-learning synthetized 4DCT from 4DMRI of the abdominal site in carbon-ion radiotherapy

Generation of multimodal realistic computational phantoms as a test-bed for validating deep learning-based cross-modality synthesis techniques

Validating an explainable radiomics approach in non-small cell lung cancer combining high energy physics with clinical and biological analyses