Publications

Search title or author

Showing 21–40 of 158 publications

2020

ISI Indexed / Impact Factor Journal PapersIF 3.697Medical ImagingMachine Learning & Deep Learning
Extraction of Retinal Layers Through Convolution Neural Network (CNN) in an OCT Image for Glaucoma Diagnosis.
Raja, Hina, M. Usman Akram, Arslan Shaukat, Shoab Ahmed Khan, Norah Alghamdi, Sajid Gul Khawaja, and Noman Nazir.
Journal of Digital Imaging (2020): 1-15.
ISI Indexed / Impact Factor Journal PapersIF 1.925Medical Imaging
Automated diagnosis system for age‐related macular degeneration using hybrid features set from fundus images.
Khalid, Samina, Muhammad Usman Akram, Tehmina Shehryar, Waqas Ahmed, Marium Sadiq, Mahak Manzoor, and Nelam Nosheen.
International Journal of Imaging Systems and Technology.
ISI Indexed / Impact Factor Journal PapersIF 4.217Medical ImagingMachine Learning & Deep Learning
RAG-FW: A hybrid convolutional framework for the automated extraction of retinal lesions and lesion-influenced grading of human retinal pathology.
Hassan, Taimur, Muhammad Usman Akram, Naoufel Werghi, and Noman Nazir.
IEEE Journal of Biomedical and Health Informatics (2020).
ISI Indexed / Impact Factor Journal PapersIF 1.925Medical Imaging
Improved automated detection of glaucoma by correlating fundus and SD‐OCT image analysis.
Shehryar, Tehmina, Muhammad U. Akram, Samina Khalid, Shamila Nasreen, Anum Tariq, Aqib Perwaiz, and Arslan Shaukat.
International Journal of Imaging Systems and Technology (2020).
Non Impact Factor Indexed JournalsMedical ImagingBiometricsData Analytics
RIDB: A Dataset of fundus images for retina based person identification.
Akram, M. Usman, Anum Abdul Salam, Sajid Gul Khawaja, Syed Gul Hassan Naqvi, and Shoab Ahmed Khan.
Data in Brief 33 (2020): 106433.
Non Impact Factor Indexed JournalsMedical ImagingData Analytics
Data on fundus images for vessels segmentation, detection of hypertensive retinopathy, diabetic retinopathy and papilledema.
Akram, Muhammad Usman, Shahzad Akbar, Taimur Hassan, Sajid Gul Khawaja, Ubaidullah Yasin, and Imran Basit.
Data in brief 29 (2020): 105282.
Non Impact Factor Indexed JournalsMedical ImagingData Analytics
Data on OCT and fundus images for the detection of glaucoma.
Raja, Hina, M. Usman Akram, Sajid Gul Khawaja, Muhammad Arslan, Aneeqa Ramzan, and Noman Nazir.
Data in brief (2020): 105342.
Conference ProceedingsMedical ImagingMachine Learning & Deep Learning
Exploiting the Transferability of Deep Learning Systems Across Multi-modal Retinal Scans for Extracting Retinopathy Lesions.
Hassan, Taimur, Muhammad Usman Akram, and Naoufel Werghi.
In 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE), pp. 577-581. IEEE, 2020.

2019

ISI Indexed / Impact Factor Journal PapersIF 3.57Medical Imaging
Diabetic retinopathy detection through novel tetragonal local octa patterns and extreme learning machines.
Nazir, Tahira, Aun Irtaza, Zain Shabbir, Ali Javed, Usman Akram, and Muhammad Tariq Mahmood.
Artificial intelligence in medicine 99 (2019): 101695.
ISI Indexed / Impact Factor Journal PapersIF 1.637Medical ImagingInternet of Things
CPS-based fully automatic cardiac left ventricle and left atrium segmentation in 3D MRI.
Ahmad, Ibtihaj, Farhan Hussain, Shoab Ahmad Khan, Usman Akram, and Gwanggil Jeon.
Journal of Intelligent & Fuzzy Systems Preprint: 1-12.
ISI Indexed / Impact Factor Journal PapersIF 1.087Medical Imaging
Automated techniques for blood vessels segmentation through fundus retinal images: A review.
Akbar, Shahzad, Muhammad Sharif, Muhammad Usman Akram, Tanzila Saba, Toqeer Mahmood, and Mahyar Kolivand.
Microscopy research and technique (2019).
ISI Indexed / Impact Factor Journal PapersIF 2.115Medical Imaging
Deep structure tensor graph search framework for automated extraction and characterization of retinal layers and fluid pathology in retinal SD-OCT scans.
Hassan, Taimur, Muhammad Usman Akram, Muhammad Furqan Masood, and Ubaidullah Yasin.
Computers in Biology and Medicine (2019).

2018

ISI Indexed / Impact Factor Journal PapersIF 3.557Medical ImagingInternet of Things
Fundus Images-Based Detection and Grading of Macular Edema Using Robust Macula Localization.
Syed, Adeel M., M. Usman Akram, Tahir Akram, Muhammad Muzammal, Shehzad Khalid, and Muazzam Ahmed Khan.
IEEE Access 6 (2018): 58784-58793.
ISI Indexed / Impact Factor Journal PapersIF 2.098Medical Imaging
Multilayered Deep Structure Tensor Delaunay Triangulation and Morphing Based Automated Diagnosis and 3D Presentation of Human Macula.
Hassan, Taimur, M. Usman Akram, Mahmood Akhtar, Shoab Ahmad Khan, and Ubaidullah Yasin.
Journal of medical systems 42, no. 11 (2018): 223.
ISI Indexed / Impact Factor Journal PapersIF 1.401Medical Imaging
Automated Glaucoma Detection using Retinal Layers Segmentation and Optic Cup to Disc Ratio in OCT Images.
Ramzan, Aneeqa, M. Usman Akram, Arslan Shaukat, Sajid Gul Khawaja, Ubaid Ullah Yasin, and Wasi Haider Butt.
IET Image Processing (2018).
ISI Indexed / Impact Factor Journal PapersIF 3.557Medical Imaging
Structure tensor graph searches based fully automated grading and 3D profiling of maculopathy from retinal OCT images
Taimur Hassan, M. Usman Akram, Arslan Shaukat, Sajid Gul Khawaja, Bilal Hassan,
Accepted in IEEE Access, July 2018.
ISI Indexed / Impact Factor Journal PapersIF 2.879Medical ImagingArtificial Intelligence
Decision support system for detection of hypertensive retinopathy using arteriovenous ratio.
Akbar, Shahzad, Muhammad Usman Akram, Muhammad Sharif, Anam Tariq, and Shoab A. Khan.
Artificial intelligence in medicine (2018).
ISI Indexed / Impact Factor Journal PapersIF 2.472Medical ImagingArtificial Intelligence
Melanocytic and nevus lesion detection from diseased dermoscopic images using fuzzy and wavelet techniques.
Jamil, Uzma, Shehzad Khalid, Usman Akram, Awais Ahmad, and Sohail Jabbar.
Soft Computing (2018): 1-17.
ISI Indexed / Impact Factor Journal PapersIF 3.24Medical Imaging
Detection of Glaucoma using Cup to Disc Ratio from Spectral Domain Optical Coherence Tomography Images.
Khalil, Tehmina, Usman Akram, Hina Raja, Amina Jameel, and Imran Basit.
IEEE Access (2018).
ISI Indexed / Impact Factor Journal PapersIF 2.5Medical ImagingArtificial Intelligence
Arteriovenous ratio and papilledema based hybrid decision support system for detection and grading of hypertensive retinopathy
Shahzad Akbar, Muhammad Usman Akram, Muhammad Sharif, Anam Tariq, Ubaid ullah Yasin,
In Computer Methods and Programs in Biomedicine, Volume 154, 2018, Pages 123-141

Loading publications...

Publications

2020

Extraction of Retinal Layers Through Convolution Neural Network (CNN) in an OCT Image for Glaucoma Diagnosis.

Automated diagnosis system for age‐related macular degeneration using hybrid features set from fundus images.

RAG-FW: A hybrid convolutional framework for the automated extraction of retinal lesions and lesion-influenced grading of human retinal pathology.

Improved automated detection of glaucoma by correlating fundus and SD‐OCT image analysis.

RIDB: A Dataset of fundus images for retina based person identification.

Data on fundus images for vessels segmentation, detection of hypertensive retinopathy, diabetic retinopathy and papilledema.

Data on OCT and fundus images for the detection of glaucoma.

Exploiting the Transferability of Deep Learning Systems Across Multi-modal Retinal Scans for Extracting Retinopathy Lesions.

2019

Diabetic retinopathy detection through novel tetragonal local octa patterns and extreme learning machines.

CPS-based fully automatic cardiac left ventricle and left atrium segmentation in 3D MRI.

Automated techniques for blood vessels segmentation through fundus retinal images: A review.

Deep structure tensor graph search framework for automated extraction and characterization of retinal layers and fluid pathology in retinal SD-OCT scans.

2018

Fundus Images-Based Detection and Grading of Macular Edema Using Robust Macula Localization.

Multilayered Deep Structure Tensor Delaunay Triangulation and Morphing Based Automated Diagnosis and 3D Presentation of Human Macula.

Automated Glaucoma Detection using Retinal Layers Segmentation and Optic Cup to Disc Ratio in OCT Images.

Structure tensor graph searches based fully automated grading and 3D profiling of maculopathy from retinal OCT images

Decision support system for detection of hypertensive retinopathy using arteriovenous ratio.

Melanocytic and nevus lesion detection from diseased dermoscopic images using fuzzy and wavelet techniques.

Detection of Glaucoma using Cup to Disc Ratio from Spectral Domain Optical Coherence Tomography Images.

Arteriovenous ratio and papilledema based hybrid decision support system for detection and grading of hypertensive retinopathy

2020

Extraction of Retinal Layers Through Convolution Neural Network (CNN) in an OCT Image for Glaucoma Diagnosis.

Automated diagnosis system for age‐related macular degeneration using hybrid features set from fundus images.

RAG-FW: A hybrid convolutional framework for the automated extraction of retinal lesions and lesion-influenced grading of human retinal pathology.

Improved automated detection of glaucoma by correlating fundus and SD‐OCT image analysis.

RIDB: A Dataset of fundus images for retina based person identification.

Data on fundus images for vessels segmentation, detection of hypertensive retinopathy, diabetic retinopathy and papilledema.

Data on OCT and fundus images for the detection of glaucoma.

Exploiting the Transferability of Deep Learning Systems Across Multi-modal Retinal Scans for Extracting Retinopathy Lesions.

2019

Diabetic retinopathy detection through novel tetragonal local octa patterns and extreme learning machines.

CPS-based fully automatic cardiac left ventricle and left atrium segmentation in 3D MRI.

Automated techniques for blood vessels segmentation through fundus retinal images: A review.

Deep structure tensor graph search framework for automated extraction and characterization of retinal layers and fluid pathology in retinal SD-OCT scans.

2018

Fundus Images-Based Detection and Grading of Macular Edema Using Robust Macula Localization.

Multilayered Deep Structure Tensor Delaunay Triangulation and Morphing Based Automated Diagnosis and 3D Presentation of Human Macula.

Automated Glaucoma Detection using Retinal Layers Segmentation and Optic Cup to Disc Ratio in OCT Images.

Structure tensor graph searches based fully automated grading and 3D profiling of maculopathy from retinal OCT images

Decision support system for detection of hypertensive retinopathy using arteriovenous ratio.

Melanocytic and nevus lesion detection from diseased dermoscopic images using fuzzy and wavelet techniques.

Detection of Glaucoma using Cup to Disc Ratio from Spectral Domain Optical Coherence Tomography Images.

Arteriovenous ratio and papilledema based hybrid decision support system for detection and grading of hypertensive retinopathy