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 Zaheer Sajid

Showing results (11-20 of 17) with videos related to

Pageof 2
Sort By:
You have reached the last page of results.This site can display upto 17 results.
SLAS Technology|July 18, 2025
An integrated deep learning framework using adaptive enhanced vision fusion and modified mobilenet architecture for precision classification of skin diseases with enhanced diagnostic performanceAhsan Bilal Tariq, Muhammad Zaheer Sajid, Nauman Ali Khan, et al.
Scientific Reports|May 19, 2026
A gated task-attentive multi-task network for unified retinal image analysisMuhammad Zaheer Sajid, Imran Qureshi, Muhammad Fareed Hamid, et al.
Diagnostics (Basel, Switzerland)|May 16, 2023
Mobile-HR: An Ophthalmologic-Based Classification System for Diagnosis of Hypertensive Retinopathy Using Optimized MobileNet ArchitectureMuhammad Zaheer Sajid, Imran Qureshi, Qaisar Abbas, et al.
Frontiers in Medicine|January 1, 2026
An explainable deep learning-based feature fusion model for acute lymphoblastic leukemia diagnosis and severity assessmentHajra Khan, Muhammad Zaheer Sajid, Nauman Ali Khan, et al.
Diagnostics (Basel, Switzerland)|August 26, 2023
DR-NASNet: Automated System to Detect and Classify Diabetic Retinopathy Severity Using Improved Pretrained NASNet ModelMuhammad Zaheer Sajid, Muhammad Fareed Hamid, Ayman Youssef, et al.
Scientific Reports|May 21, 2026
An explainable multi-stage framework for brain tumor classification using hybrid feature fusion and EfficientNetB5 modelImran Qureshi, Muhammad Zaheer Sajid, Ayman Youssef, et al.
Natural Product Research|October 5, 2023
Proximate composition and prevalence and exposure assessment of aflatoxins intake through consumption of fresh carrot and processed marketed carrot products in South Punjab, PakistanAneela Nijabat, Shahwana Bibi, Maryam Ajmal, et al.
Pageof 2

Showing results (11-20 of 17) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 17 results.
SLAS Technology|July 18, 2025
An integrated deep learning framework using adaptive enhanced vision fusion and modified mobilenet architecture for precision classification of skin diseases with enhanced diagnostic performanceAhsan Bilal Tariq, Muhammad Zaheer Sajid, Nauman Ali Khan, et al.
Scientific Reports|May 19, 2026
A gated task-attentive multi-task network for unified retinal image analysisMuhammad Zaheer Sajid, Imran Qureshi, Muhammad Fareed Hamid, et al.
Diagnostics (Basel, Switzerland)|May 16, 2023
Mobile-HR: An Ophthalmologic-Based Classification System for Diagnosis of Hypertensive Retinopathy Using Optimized MobileNet ArchitectureMuhammad Zaheer Sajid, Imran Qureshi, Qaisar Abbas, et al.
Frontiers in Medicine|January 1, 2026
An explainable deep learning-based feature fusion model for acute lymphoblastic leukemia diagnosis and severity assessmentHajra Khan, Muhammad Zaheer Sajid, Nauman Ali Khan, et al.
Diagnostics (Basel, Switzerland)|August 26, 2023
DR-NASNet: Automated System to Detect and Classify Diabetic Retinopathy Severity Using Improved Pretrained NASNet ModelMuhammad Zaheer Sajid, Muhammad Fareed Hamid, Ayman Youssef, et al.
Scientific Reports|May 21, 2026
An explainable multi-stage framework for brain tumor classification using hybrid feature fusion and EfficientNetB5 modelImran Qureshi, Muhammad Zaheer Sajid, Ayman Youssef, et al.
Natural Product Research|October 5, 2023
Proximate composition and prevalence and exposure assessment of aflatoxins intake through consumption of fresh carrot and processed marketed carrot products in South Punjab, PakistanAneela Nijabat, Shahwana Bibi, Maryam Ajmal, et al.
Pageof 2