Publications

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Showing 41–60 of 158 publications

2018

Conference ProceedingsMedical ImagingMachine Learning & Deep Learning
Deep Learning Based Automated Extraction of Intra-Retinal Layers for Analyzing Retinal Abnormalities
Taimur Hassan, M. Usman Akram, Anam Tariq, Furqan Masood, Ubaid ullah Yasin,
accepted in 2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom), 17-20 Sept 2018, Czech Republic
Conference ProceedingsMedical Imaging
Extraction and Analysis of RPE layer from OCT Images for Detection of Age Related Macular Degeneration
Majid Sharif, M. Usman Akram, Asad Waqar Malik,
accepted in 2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom), 17-20 Sept 2018, Czech Republic
Conference ProceedingsMedical Imaging
BIOMISA Retinal Image Database for Macular and Ocular Syndromes
Taimur Hassan, M. Usman Akram, M. Furqan Masood, Ubaidullah Yasin,
Image Analysis and Recognition, Springer LNCS, June 2018.

2017

ISI Indexed / Impact Factor Journal PapersIF 1.407Medical Imaging
Automated segmentation and quantification of drusen in fundus and optical coherence tomography images for detection of ARMD
Samina Khalid, Muhammad Usman Akram, Taimur Hassan, Amina Jameel, Tehmina Khalil,
Journal of Digital Imaging, 2017
ISI Indexed / Impact Factor Journal PapersMedical Imaging
Automatic Detection and Classification of Malarial Retinopathy-Associated Retinal Whitening in Digital Retinal Images.
Akram, Muhammad Usman, Abu Bakar Nisar Alvi, and Shoab Ahmed Khan.
Mehran University Research Journal of Engineering and Technology 36, no. 4 (2017): 16.
ISI Indexed / Impact Factor Journal PapersIF 1.401Medical Imaging
Improved automated detection of glaucoma from fundus image using hybrid structural and textural features
Khalil, Tehmina; Usman Akram, Muhammad; Khalid, Samina; Jameel, Amina:
IET Image Processing, 2017, 11, (9), p. 693-700,
ISI Indexed / Impact Factor Journal PapersIF 2.213Medical ImagingArtificial Intelligence
Decision Support System for Detection of Papilledema through Fundus Retinal Images.
Akbar, Shahzad, Muhammad Usman Akram, Muhammad Sharif, Anam Tariq, and Ubaid ullah Yasin.
Journal of Medical Systems 41, no. 4 (2017): 66.
ISI Indexed / Impact Factor Journal PapersIF 2.134Medical Imaging
Fully Automated Robust System to Detect Retinal Edema, Central Serous Chorioretinopathy, and Age Related Macular Degeneration from Optical Coherence Tomography Images
Samina Khalid, Usman Akram, Taimur Hassan, Ammara Nasim, and Amina Jameel,
BioMed Research International, vol. 2017, Article ID 7148245, 15 pages, 2017. doi:10.1155/2017/7148245
ISI Indexed / Impact Factor Journal PapersIF 3.34Medical Imaging
Fully automated diagnosis of papilledema through robust extraction of vascular patterns and ocular pathology from fundus photographs
Khush Naseeb Fatima, Taimur Hassan, Usman Akram, Mahmood Akhtar, and Wasi Haider Butt,
Biomed. Opt. Express 8, 1005-1024 (2017)
Non Impact Factor Indexed JournalsMedical ImagingMachine Learning & Deep Learning
A Comparison of Mean Models and Clustering Techniques for Vertebra Detection and Region Separation from C-Spine X-Rays
Mehmood, M.Usman Akram, A. Tariq, A. Fatima,
Advances in Science, Technology and Engineering Systems Journal, vol. 2, no. 3, pp. 1758-1770 (2017).
Conference ProceedingsMedical Imaging
Clinical and technical perspective of glaucoma detection using OCT and fundus images: A review.
Naveed, Madiha, Aneeqa Ramzan, and Muhammad Usman Akram.
In Next Generation Computing Applications (NextComp), 2017 1st International Conference on, pp. 157-162. IEEE, 2017.
Conference ProceedingsMedical Imaging
Automated segmentation of retinal layers from OCT images using structure tensor and kernel regression+ GTDP approach.
Naz, Samra, Usman Akram, and Shoab A. Khan.
In Next Generation Computing Applications (NextComp), 2017 1st International Conference on, pp. 98-102. IEEE, 2017.
Conference ProceedingsMedical Imaging
Automatic gleason grading of prostate cancer using Gabor filter and local binary patterns.
Farooq, Muhammad Tahir, Arslan Shaukat, Usman Akram, Omer Waqas, and Masood Ahmad.
In Telecommunications and Signal Processing (TSP), 2017 40th International Conference on, pp. 642-645. IEEE, 2017.
Conference ProceedingsMedical Imaging
A practical approach to OCT based classification of Diabetic Macular Edema.
Naz, Samra, Taimur Hassan, Usman Akram, and Shoab A. Khan.
In Signals and Systems (ICSigSys), 2017 International Conference on, pp. 217-220. IEEE, 2017.
Conference ProceedingsMedical Imaging
Benchmark data set for glaucoma detection with annotated cup to disc ratio.
Salam, Anum Abdul, Usman Akram, Amna Arouj, Imran Basit, Tariq Shaqur, Haroon Javed, and Kamran Wazir.
In Signals and Systems (ICSigSys), 2017 International Conference on, pp. 227-233. IEEE, 2017.
Conference ProceedingsMedical Imaging
Hybrid textural feature set based automated diagnosis system for Age Related Macular Degeneration using fundus images.
Khalid, Samina, Usman Akram, and Tehmina Khalil.
In Communication, Computing and Digital Systems (C-CODE), International Conference on, pp. 390-395. IEEE, 2017.
Conference ProceedingsMedical ImagingInternet of Things
Vertebra localization and centroid detection from cervical radiographs.
Mehmood, Anum, M. Usman Akram, and Anam Tariq.
In Communication, Computing and Digital Systems (C-CODE), International Conference on, pp. 287-292. IEEE, 2017.
Conference ProceedingsMedical Imaging
Comparison of different de-noising techniques for removal of poison noise from cervical X-Rays images.
Asim, Muhammad Adeel, Muhammad Usman Akram, and Anum Abdul Salam.
In Communication, Computing and Digital Systems (C-CODE), International Conference on, pp. 281-286. IEEE, 2017.
Conference ProceedingsMedical Imaging
Detection of tuberculosis using hybrid features from chest radiographs.
Fatima, Ayesha, Usman Akram, Mahmood Akhtar, and Irrum Shafique.
In Eighth International Conference on Graphic and Image Processing, pp. 102252B-102252B. International Society for Optics and Photonics, 2017.
Conference ProceedingsMedical Imaging
High resolution OCT image generation using super resolution via sparse representation.
Asif, Muhammad, Muhammad Usman Akram, Taimur Hassan, Arslan Shaukat, and Razi Waqar.
In Eighth International Conference on Graphic and Image Processing, pp. 1022512-1022512. International Society for Optics and Photonics, 2017.

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Publications

2018

Deep Learning Based Automated Extraction of Intra-Retinal Layers for Analyzing Retinal Abnormalities

Extraction and Analysis of RPE layer from OCT Images for Detection of Age Related Macular Degeneration

BIOMISA Retinal Image Database for Macular and Ocular Syndromes

2017

Automated segmentation and quantification of drusen in fundus and optical coherence tomography images for detection of ARMD

Automatic Detection and Classification of Malarial Retinopathy-Associated Retinal Whitening in Digital Retinal Images.

Improved automated detection of glaucoma from fundus image using hybrid structural and textural features

Decision Support System for Detection of Papilledema through Fundus Retinal Images.

Fully Automated Robust System to Detect Retinal Edema, Central Serous Chorioretinopathy, and Age Related Macular Degeneration from Optical Coherence Tomography Images

Fully automated diagnosis of papilledema through robust extraction of vascular patterns and ocular pathology from fundus photographs

A Comparison of Mean Models and Clustering Techniques for Vertebra Detection and Region Separation from C-Spine X-Rays

Clinical and technical perspective of glaucoma detection using OCT and fundus images: A review.

Automated segmentation of retinal layers from OCT images using structure tensor and kernel regression+ GTDP approach.

Automatic gleason grading of prostate cancer using Gabor filter and local binary patterns.

A practical approach to OCT based classification of Diabetic Macular Edema.

Benchmark data set for glaucoma detection with annotated cup to disc ratio.

Hybrid textural feature set based automated diagnosis system for Age Related Macular Degeneration using fundus images.

Vertebra localization and centroid detection from cervical radiographs.

Comparison of different de-noising techniques for removal of poison noise from cervical X-Rays images.

Detection of tuberculosis using hybrid features from chest radiographs.

High resolution OCT image generation using super resolution via sparse representation.

2018

Deep Learning Based Automated Extraction of Intra-Retinal Layers for Analyzing Retinal Abnormalities

Extraction and Analysis of RPE layer from OCT Images for Detection of Age Related Macular Degeneration

BIOMISA Retinal Image Database for Macular and Ocular Syndromes

2017

Automated segmentation and quantification of drusen in fundus and optical coherence tomography images for detection of ARMD

Automatic Detection and Classification of Malarial Retinopathy-Associated Retinal Whitening in Digital Retinal Images.

Improved automated detection of glaucoma from fundus image using hybrid structural and textural features

Decision Support System for Detection of Papilledema through Fundus Retinal Images.

Fully Automated Robust System to Detect Retinal Edema, Central Serous Chorioretinopathy, and Age Related Macular Degeneration from Optical Coherence Tomography Images

Fully automated diagnosis of papilledema through robust extraction of vascular patterns and ocular pathology from fundus photographs

A Comparison of Mean Models and Clustering Techniques for Vertebra Detection and Region Separation from C-Spine X-Rays

Clinical and technical perspective of glaucoma detection using OCT and fundus images: A review.

Automated segmentation of retinal layers from OCT images using structure tensor and kernel regression+ GTDP approach.

Automatic gleason grading of prostate cancer using Gabor filter and local binary patterns.

A practical approach to OCT based classification of Diabetic Macular Edema.

Benchmark data set for glaucoma detection with annotated cup to disc ratio.

Hybrid textural feature set based automated diagnosis system for Age Related Macular Degeneration using fundus images.

Vertebra localization and centroid detection from cervical radiographs.

Comparison of different de-noising techniques for removal of poison noise from cervical X-Rays images.

Detection of tuberculosis using hybrid features from chest radiographs.

High resolution OCT image generation using super resolution via sparse representation.