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

Usman Akram

Showing results (11-20 of 82) with videos related to

Pageof 9
Sort By:
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|August 7, 2013
Detection of neovascularization in retinal images using multivariate m-Mediods based classifierM Usman Akram, Shehzad Khalid, Anam Tariq, et al.
IEEE Journal of Biomedical and Health Informatics|April 1, 2020
RAG-FW: A Hybrid Convolutional Framework for the Automated Extraction of Retinal Lesions and Lesion-Influenced Grading of Human Retinal PathologyTaimur Hassan, Muhammad Usman Akram, Naoufel Werghi, et al.
Journal of Digital Imaging|January 18, 2013
Automated detection and grading of diabetic maculopathy in digital retinal imagesAnam Tariq, M Usman Akram, Arslan Shaukat, et al.
Springerplus|November 8, 2016
Intelligent framework for diagnosis of frozen shoulder using cross sectional survey and case studiesHumaira Batool, M Usman Akram, Fouzia Batool, et al.
Heliyon|November 11, 2024
An interpretable hybrid framework combining convolution latent vectors with transformer based attention mechanism for rolling element fault detection and classificationAli Saeed, M Usman Akram, Muazzam Khattak, et al.
Computer Methods and Programs in Biomedicine|February 20, 2014
Automated detection of exudates and macula for grading of diabetic macular edemaM Usman Akram, Anam Tariq, Shoab A Khan, et al.
Biomed Research International|April 21, 2017
Fully Automated Robust System to Detect Retinal Edema, Central Serous Chorioretinopathy, and Age Related Macular Degeneration from Optical Coherence Tomography ImagesSamina Khalid, M Usman Akram, Taimur Hassan, et al.
Applied Optics|July 12, 2012
Automated detection of exudates in colored retinal images for diagnosis of diabetic retinopathyM Usman Akram, Anam Tariq, M Almas Anjum, et al.
Diagnostics (Basel, Switzerland)|December 23, 2022
A Deep Learning Based Approach for Grading of Diabetic Retinopathy Using Large Fundus Image DatasetAyesha Mehboob, Muhammad Usman Akram, Norah Saleh Alghamdi, et al.
Journal of Digital Imaging|December 6, 2017
Automated Segmentation and Quantification of Drusen in Fundus and Optical Coherence Tomography Images for Detection of ARMDSamina Khalid, M Usman Akram, Taimur Hassan, et al.
Pageof 9

Showing results (11-20 of 82) with videos related to

Sort By:
Pageof 9
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|August 7, 2013
Detection of neovascularization in retinal images using multivariate m-Mediods based classifierM Usman Akram, Shehzad Khalid, Anam Tariq, et al.
IEEE Journal of Biomedical and Health Informatics|April 1, 2020
RAG-FW: A Hybrid Convolutional Framework for the Automated Extraction of Retinal Lesions and Lesion-Influenced Grading of Human Retinal PathologyTaimur Hassan, Muhammad Usman Akram, Naoufel Werghi, et al.
Journal of Digital Imaging|January 18, 2013
Automated detection and grading of diabetic maculopathy in digital retinal imagesAnam Tariq, M Usman Akram, Arslan Shaukat, et al.
Springerplus|November 8, 2016
Intelligent framework for diagnosis of frozen shoulder using cross sectional survey and case studiesHumaira Batool, M Usman Akram, Fouzia Batool, et al.
Heliyon|November 11, 2024
An interpretable hybrid framework combining convolution latent vectors with transformer based attention mechanism for rolling element fault detection and classificationAli Saeed, M Usman Akram, Muazzam Khattak, et al.
Computer Methods and Programs in Biomedicine|February 20, 2014
Automated detection of exudates and macula for grading of diabetic macular edemaM Usman Akram, Anam Tariq, Shoab A Khan, et al.
Biomed Research International|April 21, 2017
Fully Automated Robust System to Detect Retinal Edema, Central Serous Chorioretinopathy, and Age Related Macular Degeneration from Optical Coherence Tomography ImagesSamina Khalid, M Usman Akram, Taimur Hassan, et al.
Applied Optics|July 12, 2012
Automated detection of exudates in colored retinal images for diagnosis of diabetic retinopathyM Usman Akram, Anam Tariq, M Almas Anjum, et al.
Diagnostics (Basel, Switzerland)|December 23, 2022
A Deep Learning Based Approach for Grading of Diabetic Retinopathy Using Large Fundus Image DatasetAyesha Mehboob, Muhammad Usman Akram, Norah Saleh Alghamdi, et al.
Journal of Digital Imaging|December 6, 2017
Automated Segmentation and Quantification of Drusen in Fundus and Optical Coherence Tomography Images for Detection of ARMDSamina Khalid, M Usman Akram, Taimur Hassan, et al.
Pageof 9