A deep learning approach to generate synthetic CT in low field MR-guided radiotherapy for lung cases
J Lenkowicz, C Votta, M Nardini, F Quaranta… - Radiotherapy and …, 2022 - Elsevier
Introduction This study aims to apply a conditional Generative Adversarial Network (cGAN)
to generate synthetic Computed Tomography (sCT) from 0.35 Tesla Magnetic Resonance …
to generate synthetic Computed Tomography (sCT) from 0.35 Tesla Magnetic Resonance …
A deep learning approach to generate synthetic CT in low field MR-guided radiotherapy for lung cases
J Lenkowicz, C Votta, M Nardini… - Radiotherapy and …, 2022 - thegreenjournal.com
Introduction This study aims to apply a conditional Generative Adversarial Network (cGAN)
to generate synthetic Computed Tomography (sCT) from 0.35 Tesla Magnetic Resonance …
to generate synthetic Computed Tomography (sCT) from 0.35 Tesla Magnetic Resonance …
A deep learning approach to generate synthetic CT in low field MR-guided radiotherapy for lung cases
J Lenkowicz, C Votta, M Nardini… - … : journal of the …, 2022 - pubmed.ncbi.nlm.nih.gov
Introduction This study aims to apply a conditional Generative Adversarial Network (cGAN)
to generate synthetic Computed Tomography (sCT) from 0.35 Tesla Magnetic Resonance …
to generate synthetic Computed Tomography (sCT) from 0.35 Tesla Magnetic Resonance …
A deep learning approach to generate synthetic CT in low field MR-guided radiotherapy for lung cases
J Lenkowicz, C Votta, M Nardini… - RADIOTHERAPY …, 2022 - publicatt.unicatt.it
Introduction: This study aims to apply a conditional Generative Adversarial Network (cGAN)
to generate synthetic Computed Tomography (sCT) from 0.35 Tesla Magnetic Resonance …
to generate synthetic Computed Tomography (sCT) from 0.35 Tesla Magnetic Resonance …
A deep learning approach to generate synthetic CT in low field MR-guided radiotherapy for lung cases.
J Lenkowicz, C Votta, M Nardini… - … Oncology: Journal of …, 2022 - europepmc.org
Methods Sixty patients treated for lung lesions were enrolled and divided into training (32),
validation (8), internal (10, TA) and external (10, TB) test set. Image accuracy of generated …
validation (8), internal (10, TA) and external (10, TB) test set. Image accuracy of generated …
A deep learning approach to generate synthetic CT in low field MR-guided radiotherapy for lung cases
J Lenkowicz, C Votta, M Nardini… - Radiotherapy and …, 2022 - thegreenjournal.com
Introduction This study aims to apply a conditional Generative Adversarial Network (cGAN)
to generate synthetic Computed Tomography (sCT) from 0.35 Tesla Magnetic Resonance …
to generate synthetic Computed Tomography (sCT) from 0.35 Tesla Magnetic Resonance …