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Journal of Mathematical Biology|July 27, 2020
Metaheuristics and Pontryagin's minimum principle for optimal therapeutic protocols in cancer immunotherapy: a case study and methods comparisonSima Sarv Ahrabi, Alireza MomenzadehExpert Systems with Applications|April 24, 2023
Twinned Residual Auto-Encoder (TRAE)-A new DL architecture for denoising super-resolution and task-aware feature learning from COVID-19 CT imagesEnzo Baccarelli, Michele Scarpiniti, Alireza MomenzadehThe 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.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.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.Pageof 1