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Muhammad Zulkifal Aziz

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

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Biomedical Physics & Engineering Express|April 10, 2024
Exploring the potential of pretrained CNNs and time-frequency methods for accurate epileptic EEG classification: a comparative studyMudasir Jamil, Muhammad Zulkifal Aziz, Xiaojun Yu
Sensors (Basel, Switzerland)|September 19, 2020
Identification of Motor and Mental Imagery EEG in Two and Multiclass Subject-Dependent Tasks Using Successive Decomposition IndexMuhammad Tariq Sadiq, Xiaojun Yu, Zhaohui Yuan, et al.
Sensors (Basel, Switzerland)|October 16, 2024
Transforming Motor Imagery Analysis: A Novel EEG Classification Framework Using AtSiftNet MethodHaiqin Xu, Waseem Haider, Muhammad Zulkifal Aziz, et al.
Journal of Medical Imaging (Bellingham, Wash.)|April 3, 2023
Multiscale denoising generative adversarial network for speckle reduction in optical coherence tomography imagesXiaojun Yu, Chenkun Ge, Mingshuai Li, et al.
Sensors (Basel, Switzerland)|August 14, 2025
BCINetV1: Integrating Temporal and Spectral Focus Through a Novel Convolutional Attention Architecture for MI EEG DecodingMuhammad Zulkifal Aziz, Xiaojun Yu, Xinran Guo, et al.
IEEE Journal of Biomedical and Health Informatics|February 14, 2022
Computerized Multidomain EEG Classification System: A New ParadigmXiaojun Yu, Muhammad Zulkifal Aziz, Muhammad Tariq Sadiq, et al.
Computers in Biology and Medicine|January 30, 2022
Exploiting pretrained CNN models for the development of an EEG-based robust BCI frameworkMuhammad Tariq Sadiq, Muhammad Zulkifal Aziz, Ahmad Almogren, et al.
Journal of Biophotonics|June 15, 2022
CGNet-assisted Automatic Vessel Segmentation for Optical Coherence Tomography AngiographyXiaojun Yu, Chenkun Ge, Muhammad Zulkifal Aziz, et al.
Journal of Neural Engineering|October 7, 2024
E-SAT: An extreme learning machine based self attention approach for decoding motor imagery EEG in subject-specific tasksMuhammad Ahmed Ahmed Abbasi, Hafza Faiza Abbasi, Xiaojun Yu, et al.
Pageof 1

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

Sort By:
Pageof 1
Biomedical Physics & Engineering Express|April 10, 2024
Exploring the potential of pretrained CNNs and time-frequency methods for accurate epileptic EEG classification: a comparative studyMudasir Jamil, Muhammad Zulkifal Aziz, Xiaojun Yu
Sensors (Basel, Switzerland)|September 19, 2020
Identification of Motor and Mental Imagery EEG in Two and Multiclass Subject-Dependent Tasks Using Successive Decomposition IndexMuhammad Tariq Sadiq, Xiaojun Yu, Zhaohui Yuan, et al.
Sensors (Basel, Switzerland)|October 16, 2024
Transforming Motor Imagery Analysis: A Novel EEG Classification Framework Using AtSiftNet MethodHaiqin Xu, Waseem Haider, Muhammad Zulkifal Aziz, et al.
Journal of Medical Imaging (Bellingham, Wash.)|April 3, 2023
Multiscale denoising generative adversarial network for speckle reduction in optical coherence tomography imagesXiaojun Yu, Chenkun Ge, Mingshuai Li, et al.
Sensors (Basel, Switzerland)|August 14, 2025
BCINetV1: Integrating Temporal and Spectral Focus Through a Novel Convolutional Attention Architecture for MI EEG DecodingMuhammad Zulkifal Aziz, Xiaojun Yu, Xinran Guo, et al.
IEEE Journal of Biomedical and Health Informatics|February 14, 2022
Computerized Multidomain EEG Classification System: A New ParadigmXiaojun Yu, Muhammad Zulkifal Aziz, Muhammad Tariq Sadiq, et al.
Computers in Biology and Medicine|January 30, 2022
Exploiting pretrained CNN models for the development of an EEG-based robust BCI frameworkMuhammad Tariq Sadiq, Muhammad Zulkifal Aziz, Ahmad Almogren, et al.
Journal of Biophotonics|June 15, 2022
CGNet-assisted Automatic Vessel Segmentation for Optical Coherence Tomography AngiographyXiaojun Yu, Chenkun Ge, Muhammad Zulkifal Aziz, et al.
Journal of Neural Engineering|October 7, 2024
E-SAT: An extreme learning machine based self attention approach for decoding motor imagery EEG in subject-specific tasksMuhammad Ahmed Ahmed Abbasi, Hafza Faiza Abbasi, Xiaojun Yu, et al.
Pageof 1