Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Muhammad Farhan Safdar

Showing results (1-10 of 7) with videos related to

Pageof 1
Sort By:
Computers in Biology and Medicine|January 13, 2024
Pre-Processing techniques and artificial intelligence algorithms for electrocardiogram (ECG) signals analysis: A comprehensive reviewMuhammad Farhan Safdar, Robert Marek Nowak, Piotr Pałka
Sensors (Basel, Switzerland)|December 23, 2022
A Denoising and Fourier Transformation-Based Spectrograms in ECG Classification Using Convolutional Neural NetworkMuhammad Farhan Safdar, Robert Marek Nowak, Piotr Pałka
Acta Informatica Medica : AIM : Journal of the Society for Medical Informatics of Bosnia & Herzegovina : Casopis Drustva Za Medicinsku Informatiku Bih|March 27, 2020
A Comparative Analysis of Data Augmentation Approaches for Magnetic Resonance Imaging (MRI) Scan Images of Brain TumorMuhammad Farhan Safdar, Shayma Saad Alkobaisi, Fatima Tuz Zahra
Scientific Reports|October 7, 2025
An integrated algorithm for single lead electrocardiogram signal analysis using deep learning with 12-lead dataMuhammad Farhan Safdar, Robert Marek Nowak, Piotr Pałka, et al.
Pakistan Journal of Medical Sciences|September 3, 2021
Neutrophil to lymphocyte ratio (NLR) in COVID-19: A cheap prognostic marker in a resource constraint settingKaleem Ullah Toori, Muhammad Arsalan Qureshi, Asma Chaudhry, et al.
JPMA. the Journal of the Pakistan Medical Association|October 11, 2020
Applications and impact of computer technologies in management of multimorbidityMuhammad Farhan Safdar, Shahid Nazir Bhatti, Awais Saeed Abbasi, et al.
Plos One|August 21, 2025
A hybrid approach for forecasting peak expiratory flow rate in asthma patients using combined linear regression and random forest modelShayma Alkobaisi, Wan D Bae, Muhammad Farhan Safdar, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Computers in Biology and Medicine|January 13, 2024
Pre-Processing techniques and artificial intelligence algorithms for electrocardiogram (ECG) signals analysis: A comprehensive reviewMuhammad Farhan Safdar, Robert Marek Nowak, Piotr Pałka
Sensors (Basel, Switzerland)|December 23, 2022
A Denoising and Fourier Transformation-Based Spectrograms in ECG Classification Using Convolutional Neural NetworkMuhammad Farhan Safdar, Robert Marek Nowak, Piotr Pałka
Acta Informatica Medica : AIM : Journal of the Society for Medical Informatics of Bosnia & Herzegovina : Casopis Drustva Za Medicinsku Informatiku Bih|March 27, 2020
A Comparative Analysis of Data Augmentation Approaches for Magnetic Resonance Imaging (MRI) Scan Images of Brain TumorMuhammad Farhan Safdar, Shayma Saad Alkobaisi, Fatima Tuz Zahra
Scientific Reports|October 7, 2025
An integrated algorithm for single lead electrocardiogram signal analysis using deep learning with 12-lead dataMuhammad Farhan Safdar, Robert Marek Nowak, Piotr Pałka, et al.
Pakistan Journal of Medical Sciences|September 3, 2021
Neutrophil to lymphocyte ratio (NLR) in COVID-19: A cheap prognostic marker in a resource constraint settingKaleem Ullah Toori, Muhammad Arsalan Qureshi, Asma Chaudhry, et al.
JPMA. the Journal of the Pakistan Medical Association|October 11, 2020
Applications and impact of computer technologies in management of multimorbidityMuhammad Farhan Safdar, Shahid Nazir Bhatti, Awais Saeed Abbasi, et al.
Plos One|August 21, 2025
A hybrid approach for forecasting peak expiratory flow rate in asthma patients using combined linear regression and random forest modelShayma Alkobaisi, Wan D Bae, Muhammad Farhan Safdar, et al.
Pageof 1