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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 classifier
M 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 Pathology
Taimur 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 images
Anam 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 studies
Humaira 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 classification
Ali 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 edema
M 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 Images
Samina 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 retinopathy
M 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 Dataset
Ayesha 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 ARMD
Samina Khalid, M Usman Akram, Taimur Hassan, et al.
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Showing results (11-20 of 82) with videos related to
Sort By:
Page
of 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 classifier
M 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 Pathology
Taimur 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 images
Anam 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 studies
Humaira 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 classification
Ali 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 edema
M 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 Images
Samina 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 retinopathy
M 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 Dataset
Ayesha 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 ARMD
Samina Khalid, M Usman Akram, Taimur Hassan, et al.
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of 9