A Novel Approach for Automated Segmentation of Left Ventricle Based on Bidirectional Myocardium to Endocardium Translation Using Generative Adversarial Network / Fatima, Noreen; Afrakhteh, Sajjad; Demi, Libertario. - (2024). (Intervento presentato al convegno IEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium (UFFC-JS) tenutosi a Taipei, Taiwan nel September 22-26, 2024) [10.1109/UFFC-JS60046.2024.10793762].

A Novel Approach for Automated Segmentation of Left Ventricle Based on Bidirectional Myocardium to Endocardium Translation Using Generative Adversarial Network

Noreen Fatima
Primo
;
Sajjad Afrakhteh
Secondo
;
Libertario Demi
Ultimo
2024-01-01

2024
A Novel Approach for Automated Segmentation of Left Ventricle Based on Bidirectional Myocardium to Endocardium Translation Using Generative Adversarial Network
Taipei, Taiwan
2024 IEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium (UFFC-JS)
Fatima, Noreen; Afrakhteh, Sajjad; Demi, Libertario
A Novel Approach for Automated Segmentation of Left Ventricle Based on Bidirectional Myocardium to Endocardium Translation Using Generative Adversarial Network / Fatima, Noreen; Afrakhteh, Sajjad; Demi, Libertario. - (2024). (Intervento presentato al convegno IEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium (UFFC-JS) tenutosi a Taipei, Taiwan nel September 22-26, 2024) [10.1109/UFFC-JS60046.2024.10793762].
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/441193
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
  • OpenAlex ND
social impact