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The Journal of Supercomputing|March 1, 2022
Exploiting probability density function of deep convolutional autoencoders' latent space for reliable COVID-19 detection on CT scansSima Sarv Ahrabi, Lorenzo Piazzo, Alireza Momenzadeh, et al.
The Journal of Supercomputing|August 31, 2022
How much BiGAN and CycleGAN-learned hidden features are effective for COVID-19 detection from CT images? A comparative studySima Sarv Ahrabi, Alireza Momenzadeh, Enzo Baccarelli, et al.
Expert Systems with Applications|December 23, 2021
A novel unsupervised approach based on the hidden features of Deep Denoising Autoencoders for COVID-19 disease detectionMichele Scarpiniti, Sima Sarv Ahrabi, Enzo Baccarelli, et al.
Plos One|January 7, 2026
Enhancing quality and decision-making for care pathways: An application of process mining in cancer careFrancesca Ferré, Chiara Seghieri, Sima Sarv Ahrabi, et al.
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