Publications

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Showing 61–80 of 158 publications

2016

ISI Indexed / Impact Factor Journal PapersIF 0.982Medical Imaging
Segmentation of skin lesion using Cohen–Daubechies–Feauveau biorthogonal wavelet.
Khalid, Shehzad, Uzma Jamil, Kashif Saleem, Usman Akram, Waleed Manzoor, Waqas Ahmed, and Amina Sohail.
SpringerPlus 5, no. 1 (2016): 1603.
ISI Indexed / Impact Factor Journal PapersIF 0.982Medical Imaging
Automated detection of glaucoma using structural and non structural features.
Salam, Anum A., Tehmina Khalil, Usman Akram, Amina Jameel, and Imran Basit.
SpringerPlus 5, no. 1 (2016): 1519.
ISI Indexed / Impact Factor Journal PapersIF 1.82Medical Imaging
Automated diagnosis of macular edema and central serous retinopathy through robust reconstruction of 3D retinal surfaces.
Syed, Adeel M., Taimur Hassan, Usman Akram, Samra Naz, and Shehzad Khalid.
Computer Methods and Programs in Biomedicine 137 (2016): 1-10.
ISI Indexed / Impact Factor Journal PapersIF 1.084Medical ImagingBiometrics
Person identification using vascular and non-vascular retinal features.
Waheed, Zahra, Usman Akram, Amna Waheed, Muazzam A. Khan, Arslan Shaukat, and Mazhar Ishaq.
Computers & Electrical Engineering (2016).
ISI Indexed / Impact Factor Journal PapersIF 1.55Medical Imaging
Structure tensor based automated detection of macular edema and central serous retinopathy using optical coherence tomography images.
Hassan, Bilal, Gulistan Raja, Taimur Hassan, and Usman Akram.
JOSA A 33, no. 4 (2016): 455-463.
ISI Indexed / Impact Factor Journal PapersIF 1.784Medical Imaging
Automated segmentation of sub-retinal layers for the detection of macular edema
Taimur Hassan, Usman Akram, Shafaat A Bazaz et al.,
Applied Optics, 55(3), 454-461, 2016.
Non Impact Factor Indexed JournalsMedical Imaging
Digital Fundus Image Stitching for Generation of Retinal Mosaicto Help Ophthalmologists.
Akbar, M. Usman, M. Usman Akram, Adeel M. Syed, and Joddat Fatima.
Asian Journal of Engineering, Sciences & Technology (2016).
Non Impact Factor Indexed JournalsMedical ImagingMachine Learning & Deep LearningInternet of Things
Vertebra Localization Using Shape Based Analysis and Unsupervised Clustering from X-ray Images
Anum Mehmood, M. Usman Akram, Mahmood Akhtar,
PJCIS (2016), Vol. 1, No. 1 : 29-41
Conference ProceedingsMedical Imaging
Automated segmentation of RPE layer for the detection of age macular degeneration using OCT images.
Naz, Samra, Aneeqa Ahmed, Usman Akram, and Shoab A. Khan.
In Image Processing Theory Tools and Applications (IPTA), 2016 6th International Conference on, pp. 1-4. IEEE, 2016.
Conference ProceedingsMedical Imaging
Generation of High Resolution Medical Images Using Super Resolution via Sparse Representation.
Asif, Muhammad, Shoab Ahmed Khan, Taimur Hassan, Usman Akram, and Arslan Shaukat.
In International Afro-European Conference for Industrial Advancement, pp. 288-298. Springer, Cham, 2016.
Conference ProceedingsMedical Imaging
Separation of Vertebrae Regions from Cervical Radiographs Using Inter-Vertebra Distance and Orientation.
Mehmood, Anum, Usman Akram, Mahmood Akhtar, and Anam Usman.
In International Conference on Hybrid Intelligent Systems, pp. 29-37. Springer, Cham, 2016.
Conference ProceedingsMedical Imaging
Classification of vessels as arteries verses veins using hybrid features for diagnosis of hypertensive retinopathy.
Irshad, Samra, Muhammad Ahmad, Usman Akram, Asad Waqar Malik, and Sarmad Abbas.
In Imaging Systems and Techniques (IST), 2016 IEEE International Conference on, pp. 472-475. IEEE, 2016.
Conference ProceedingsMedical Imaging
Assessment of papilledema using fundus images.
Yousaf, Kamran, Muhammad Usman Akram, Usman Ali, and Shahzad Amin Sheikh.
In Imaging Systems and Techniques (IST), 2016 IEEE International Conference on, pp. 476-481. IEEE, 2016.
Conference ProceedingsMedical Imaging
Comparison of noise removal algorithms on Optical Coherence Tomography (OCT) image.
Shah, Asim Altaf, M. Mohsin Malik, Usman Akram, and Shafaat A. Bazaz.
In Imaging Systems and Techniques (IST), 2016 IEEE International Conference on, pp. 166-170. IEEE, 2016.
Conference ProceedingsMedical Imaging
Automated Detection of Drusens to Diagnose Age Related Macular Degeneration Using OCT Images.
Khalid, Samina, Usman Akram, Amina Jameel, and Tehmina Khalil.
International Journal of Computer Science and Information Security 14, no. 10 (2016): 1.
Conference ProceedingsMedical ImagingMachine Learning & Deep Learning
Differentiation of blood vessels in retina into arteries and veins using neural network.
Ayub, Lubna, Abdul samad Khan, Javeria Ayub, Sara Ayub, Usman Akram, Samra Irshad, and Imran Basit.
In Computing, Electronic and Electrical Engineering (ICE Cube), 2016 International Conference on, pp. 301-306. IEEE, 2016.
Conference ProceedingsMedical ImagingMachine Learning & Deep Learning
Glaucoma detection through optic disc and cup segmentation using K-mean clustering.
Ayub, Javeria, Jamil Ahmad, Jan Muhammad, Lubna Aziz, Sara Ayub, Usman Akram, and Imran Basit.
In Computing, Electronic and Electrical Engineering (ICE Cube), 2016 International Conference on, pp. 143-147. IEEE, 2016.
Conference ProceedingsMedical Imaging
Liver Image Analysis using Color and Texture Descriptors.
Akram, M. Usman, Muazzam A. Khan, Madiha Naveed, and Sarah Gul.
In The International Conference on Digital Information Processing, Electronics, and Wireless Communications (DIPEWC2016), p. 1. 2016.
Conference ProceedingsMedical Imaging
A robust non-vascular retina recognition system using structural features of retinal image.
Waheed, Zahra, Amna Waheed, and Usman Akram.
In Applied Sciences and Technology (IBCAST), 2016 13th International Bhurban Conference on, pp. 101-105. IEEE, 2016.

2015

Book ChaptersMedical Imaging
Retinal Blood Vessels Differentiation for calculation of Arterio-Venous Ratio
Samra Irshad, Usman Akram, Sara Ayub, Anaum Ayaz,
Image analysis and Recognition, Lecture Notes in Computer Science, LNCS, Canada, 2015

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Publications

2016

Segmentation of skin lesion using Cohen–Daubechies–Feauveau biorthogonal wavelet.

Automated detection of glaucoma using structural and non structural features.

Automated diagnosis of macular edema and central serous retinopathy through robust reconstruction of 3D retinal surfaces.

Person identification using vascular and non-vascular retinal features.

Structure tensor based automated detection of macular edema and central serous retinopathy using optical coherence tomography images.

Automated segmentation of sub-retinal layers for the detection of macular edema

Digital Fundus Image Stitching for Generation of Retinal Mosaicto Help Ophthalmologists.

Vertebra Localization Using Shape Based Analysis and Unsupervised Clustering from X-ray Images

Automated segmentation of RPE layer for the detection of age macular degeneration using OCT images.

Generation of High Resolution Medical Images Using Super Resolution via Sparse Representation.

Separation of Vertebrae Regions from Cervical Radiographs Using Inter-Vertebra Distance and Orientation.

Classification of vessels as arteries verses veins using hybrid features for diagnosis of hypertensive retinopathy.

Assessment of papilledema using fundus images.

Comparison of noise removal algorithms on Optical Coherence Tomography (OCT) image.

Automated Detection of Drusens to Diagnose Age Related Macular Degeneration Using OCT Images.

Differentiation of blood vessels in retina into arteries and veins using neural network.

Glaucoma detection through optic disc and cup segmentation using K-mean clustering.

Liver Image Analysis using Color and Texture Descriptors.

A robust non-vascular retina recognition system using structural features of retinal image.

2015

Retinal Blood Vessels Differentiation for calculation of Arterio-Venous Ratio

2016

Segmentation of skin lesion using Cohen–Daubechies–Feauveau biorthogonal wavelet.

Automated detection of glaucoma using structural and non structural features.

Automated diagnosis of macular edema and central serous retinopathy through robust reconstruction of 3D retinal surfaces.

Person identification using vascular and non-vascular retinal features.

Structure tensor based automated detection of macular edema and central serous retinopathy using optical coherence tomography images.

Automated segmentation of sub-retinal layers for the detection of macular edema

Digital Fundus Image Stitching for Generation of Retinal Mosaicto Help Ophthalmologists.

Vertebra Localization Using Shape Based Analysis and Unsupervised Clustering from X-ray Images

Automated segmentation of RPE layer for the detection of age macular degeneration using OCT images.

Generation of High Resolution Medical Images Using Super Resolution via Sparse Representation.

Separation of Vertebrae Regions from Cervical Radiographs Using Inter-Vertebra Distance and Orientation.

Classification of vessels as arteries verses veins using hybrid features for diagnosis of hypertensive retinopathy.

Assessment of papilledema using fundus images.

Comparison of noise removal algorithms on Optical Coherence Tomography (OCT) image.

Automated Detection of Drusens to Diagnose Age Related Macular Degeneration Using OCT Images.

Differentiation of blood vessels in retina into arteries and veins using neural network.

Glaucoma detection through optic disc and cup segmentation using K-mean clustering.

Liver Image Analysis using Color and Texture Descriptors.

A robust non-vascular retina recognition system using structural features of retinal image.

2015

Retinal Blood Vessels Differentiation for calculation of Arterio-Venous Ratio