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Seyed Vahab Shojaedini

Showing results (1-10 of 9) with videos related to

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Journal of Medical Signals and Sensors|November 27, 2014
A new method for sperm characterization for infertility treatment: hypothesis testing by using combination of watershed segmentation and graph theorySeyed Vahab Shojaedini, Masoud Heydari
Journal of Imaging Informatics in Medicine|December 2, 2025
Advancing WBC Classification: A Hybrid ConvNextV2-Swin Transformer Framework with R3GAN Data Balancing and CLAHE PreprocessingMohammad Momenian, Seyed Vahab Shojaedini
Biomedical Engineering Letters|September 1, 2020
Mobile sensor based human activity recognition: distinguishing of challenging activities by applying long short-term memory deep learning modified by residual network conceptSeyed Vahab Shojaedini, Mohamad Javad Beirami
Medical & Biological Engineering & Computing|December 26, 2023
Generative adversarial network: a statistical-based deep learning paradigm to improve detecting breast cancer in thermogramsSeyed Vahab Shojaedini, Mehdi Abedini, Mahsa Monajemi
Journal of Medical Signals and Sensors|January 4, 2019
A New Method for Detecting P300 Signals by Using Deep Learning: Hyperparameter Tuning in High-Dimensional Space by Minimizing Nonconvex Error FunctionSeyed Vahab Shojaedini, Sajedeh Morabbi, MohammadReza Keyvanpour
Journal of Medical Signals and Sensors|February 2, 2023
A Novel Pulse-Taking Device for Persian Medicine Based on Convolutional Neural NetworksVahid Reza Nafisi, Roshanak Ghods, Seyed Vahab Shojaedini
Journal of Biomedical Physics & Engineering|June 30, 2021
A New Method to Improve the Performance of Deep Neural Networks in Detecting P300 Signals: Optimizing Curvature of Error Surface Using Genetic AlgorithmSeyed Vahab Shojaedini, Sajedeh Morabbi, Mohamad Reza Keyvanpour
Health and Technology|October 18, 2022
A New method for promote the performance of deep learning paradigm in diagnosing breast cancer: improving role of fusing multiple views of thermography imagesMahsa Ensafi, Mohammad Reza Keyvanpour, Seyed Vahab Shojaedini
Journal of Medical Signals and Sensors|September 1, 2021
Residual Learning: A New Paradigm to Improve Deep Learning-Based Segmentation of the Left Ventricle in Magnetic Resonance Imaging Cardiac ImagesMaral Zarvani, Sara Saberi, Reza Azmi, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Journal of Medical Signals and Sensors|November 27, 2014
A new method for sperm characterization for infertility treatment: hypothesis testing by using combination of watershed segmentation and graph theorySeyed Vahab Shojaedini, Masoud Heydari
Journal of Imaging Informatics in Medicine|December 2, 2025
Advancing WBC Classification: A Hybrid ConvNextV2-Swin Transformer Framework with R3GAN Data Balancing and CLAHE PreprocessingMohammad Momenian, Seyed Vahab Shojaedini
Biomedical Engineering Letters|September 1, 2020
Mobile sensor based human activity recognition: distinguishing of challenging activities by applying long short-term memory deep learning modified by residual network conceptSeyed Vahab Shojaedini, Mohamad Javad Beirami
Medical & Biological Engineering & Computing|December 26, 2023
Generative adversarial network: a statistical-based deep learning paradigm to improve detecting breast cancer in thermogramsSeyed Vahab Shojaedini, Mehdi Abedini, Mahsa Monajemi
Journal of Medical Signals and Sensors|January 4, 2019
A New Method for Detecting P300 Signals by Using Deep Learning: Hyperparameter Tuning in High-Dimensional Space by Minimizing Nonconvex Error FunctionSeyed Vahab Shojaedini, Sajedeh Morabbi, MohammadReza Keyvanpour
Journal of Medical Signals and Sensors|February 2, 2023
A Novel Pulse-Taking Device for Persian Medicine Based on Convolutional Neural NetworksVahid Reza Nafisi, Roshanak Ghods, Seyed Vahab Shojaedini
Journal of Biomedical Physics & Engineering|June 30, 2021
A New Method to Improve the Performance of Deep Neural Networks in Detecting P300 Signals: Optimizing Curvature of Error Surface Using Genetic AlgorithmSeyed Vahab Shojaedini, Sajedeh Morabbi, Mohamad Reza Keyvanpour
Health and Technology|October 18, 2022
A New method for promote the performance of deep learning paradigm in diagnosing breast cancer: improving role of fusing multiple views of thermography imagesMahsa Ensafi, Mohammad Reza Keyvanpour, Seyed Vahab Shojaedini
Journal of Medical Signals and Sensors|September 1, 2021
Residual Learning: A New Paradigm to Improve Deep Learning-Based Segmentation of the Left Ventricle in Magnetic Resonance Imaging Cardiac ImagesMaral Zarvani, Sara Saberi, Reza Azmi, et al.
Pageof 1