Publications


Optical Coherence Tomography Image Analysis for Retinal Diseases

1. Salam, Anum A., Tehmina Khalil, M. Usman Akram, Amina Jameel, and Imran Basit. “Automated detection of glaucoma using structural and non structural features.” SpringerPlus 5, no. 1 (2016): 1519. [Impact Factor: 0.982]

2. Syed, Adeel M., Taimur Hassan, M. Usman Akram, Samra Naz, and Shehzad Khalid. “Automated diagnosis of macular edema and central serous retinopathy through robust reconstruction of 3D retinal surfaces.” Computer Methods and Programs in Biomedicine 137 (2016): 1-10. [Impact Factor: 1.82]

3. Waheed, Zahra, M. Usman Akram, Amna Waheed, Muazzam A. Khan, Arslan Shaukat, and Mazhar Ishaq. “Person identification using vascular and non-vascular retinal features.” Computers & Electrical Engineering (2016).

4. Hassan, Bilal, Gulistan Raja, Taimur Hassan, and M. Usman Akram. “Structure tensor based automated detection of macular edema and central serous retinopathy using optical coherence tomography images.” JOSA A 33, no. 4 (2016): 455-463. [Impact Factor: 1.55]

5. Taimur Hassan, M. Usman Akram, Shafaat A Bazaz et al., “Automated segmentation of sub-retinal layers for the detection of macular edema”, Applied Optics, 55(3), 454-461, 2016. [Impact Factor: 1.784]

6. M. Usman Akram, Anam Tariq, Shehzad Khalid, Sarmad Abbas, M. Younus Javed, Ubaid ullah Yasin, “Glaucoma Detection using Novel Optic Disc Localization, Hybrid Feature Set and Classification Techniques”, Australasian Physical and Engineering Sciences in Medicine, 38(4), 643-655, OCT 2015. [impact factor: 0.888]

7. Amna Waheed, M. Usman Akram, Shehzad Khalid, Zahra Waheed, Muazzam A Khan, Arslan Shaukat, “Hybrid Features and Mediods Classification based Robust Segmentation of Blood Vessels”, Journal of Medical Systems, Vol 39, No. 10, OCT 2015. [impact factor: 2.213]

8. S. Ayaz, S. Sahar, M. Zafar, M. U. Akram, Y. Nadeem “Analysis of OCT Images for Detection of Choroidal Neovascularization in Retinal Pigment Epithelial Layer”, 21st International Conference on Neural Information Processing, LNCS, pp. 226-233, Malaysia, Nov 2014

9. Taimur Hassan, M. Usman Akram, Shafaat A Bazaz, “Review of OCT and Fundus Images for Detection of Macular Edema, 12th annual International Conference on Imaging Systems and Techniques, China, Sept, 2015

10. Sadaf Ayaz, Sadaf Saher, M. Usman Akram, Imran Basit, “A Case Study Approach: Iterative Prototyping Model Based Detection of Macular Edema in Retinal OCT Images”, International Conference on Software Engineering and Knowledge Engineering (SEKE 2015), USA

Development of a Net Enabled Retinal Image Analysis and Screening System for Grading and Diagnosis of Diabetic Retinopathy and its Integration in i-telemedicine system

Diabetic Retinopathy

1. M. U. Akram, S. Khalid, Shoab A Khan, “Identification and Classification of Microaneurysms for Early Detection of Diabetic Retinopathy”, Pattern Recognition (Elsevier), Vol 46, No.1, 107-116, 2013 [Impact Factor: 2.63] PDF

2. A. Tariq, M. U. Akram, and M. Y. Javed, “Computer Aided Diagnostic System for Grading of Diabetic Retinopathy”, IEEE Symposium Series on Computational Intelligence (SSCI), pp. 30-35, Singapore, 2013. PDF

3. M. U. Akram, A. Tariq, M. A. Anjum, M. Y. Javed, “Automated Detection of Exudates in Colored Retinal Images for Diagnosis of Diabetic Retinopathy”, OSA Journal of Applied Optics, Vol. 51 No. 20, 4858-4866, 2012. [Impact factor: 1.748] PDF

4. M. U. Akram and S. A. Khan, “Automated detection of dark and bright lesions in retinal images for early detection of diabetic retinopathy”, Springer Journal of Medical Systems (JOMS), Vol. 36, No. 5, 3151-3162, 2012. [Impact factor: 1.78] PDF

5. M. U. Akram, S. Khalid, “A software system for grading diabetic retinopathy by analyzing retinal images”, In book “Knowledge based processes in software development”, IGI Global, 2012.

Proliferative Diabetic Retinopathy

1. M. U. Akram, S. Khalid, A. Tariq, M. Y. Javed, “Detection of Neovascularization in Retinal Images using Multivariate m-Mediods based Classifier”, Elsevier Journal of Computerized Medical Imaging and Graphics, 2013 [impact factor: 1.664] PDF

2. M. U. Akram, A. Tariq, Shoab A Khan, “Detection of Neovascularization for Screening of Proliferative Diabetic Retinopathy”, Image analysis and Recognition, Lecture Notes in Computer Science, (Berlin, Heidelberg: Springer), LNCS, Portugal, pp. 372-379, Portugal, June12. PDF

3. M. U. Akram, I. Jamal, A. Tariq and J. Imtiaz, “Automated Segmentation of Blood Vessels for Detection of Proliferative Diabetic Retinopathy”, IEEE-EMBS International Conference on Biomedical and Health Informatics, pp. 232-235, Hong Kong, Jan 2012. PDF

Diabetic Maculopathy

1. A. Tariq, M. U. Akram, A. Shaukat, S. A Khan, Automated Detection and Grading of Diabetic Maculopathy in Digital Retinal Images, Springer Journal of Digital Imaging, 2013 DOI: 10.1007/s10278-012-9549-4 [Impact factor: 1.255] PDF

2. A. Tariq, M. U. Akram, A. Shaukat, S. A Khan, “A Computer Aided System for Grading of Maculopathy”, 6th Cairo International Conference on Biomedical Engineering, pp. 31-34, Egypt, 2012 PDF

3. U. Aftab, M. U. Akram, “Automated Identification of Exudates for Detection of Macular Edema”, 6th Cairo International Conference on Biomedical Engineering, pp. 27-30, Egypt, 2012. PDF

4. M. U. Akram, M. Akhtar, M. Y. Javed, “An Automated System for the Grading of Diabetic Maculopathy in Fundus Images”, 9th International Conference on Neural Information Processing, LNCS 6666, pp. 36-43, Nov 2012, Qatar PDF

Preprocessing of Fundus Images

1. I. Jamal, M. U. Akram, Retinal Image Preprocessing: Background and Noise Segmentation , TELKOMNIKA Indonesian Journal on Electrical Engineering, Vol. 10, No. 3, pp. 537-544, 2012. PDF

2. A. Tariq, M. U. Akram, “An Automated System for Colored Retinal Image Background and Noise Segmentation”, IEEE Symposium on Industrial Electronics and Applications (ISIEA 2010), pp. 405-409, 3rd – 6th October 2010, Penang, Malaysia. PDF

3. M. U. Akram, S. Nasir, M. A. Anjum, M. Y. Javed, “Background and Noise Extraction from Colored Retinal Images”, IEEE CSIE, IEEE Computer Society, LosAngeles, pp. 573-577, USA, April, 09. PDF

4. M. U. Akram, A. Tariq, S. Nasir, “Retinal Image: noise Segmentation”, IEEE INMIC, pp. 116-119, Pakistan, Dec08. PDF

Blood Vessel Enhancement and Segmentation

1. M. U. Akram and S. A. Khan, “Multilayered Thresholding Based Blood Vessel Segmentation for Screening of Diabetic Retinopathy”, Springer journal of Engineering with Computers (EWCO), Vol. 29, No. 2, pp. 165-173, 2013. [Impact factor:0.739] PDF

2. S. Shabbir, A. Tariq and M. U. Akram, “A Comparison and Evaluation of Computerized Methods for Blood Vessel Enhancement and Segmentation in Retinal Images”, International Journal of Future Computer and Communication, Vol. 2, No. 6, 600-603, 2013. PDF

3. M. U. Akram and A. Khanum, “Retinal Images: Blood Vessel Segmentation by Threshold Probing”, IEEE Symposium on Industrial Electronics and Applications (ISIEA 2010), pp.475-479, 3rd – 6th October 2010, Penang, Malaysia. PDF

4. M. U. Akram, S. Nasir, S. A. Khan, “Comparison of Matched Filter and Wavelet Based Blood Vessel Enhancement”, 11th IASTED Conference on Signal and Image Processing (SIP), pp. 260-264, USA, 17-19 August, 2009. PDF

5. M. U. Akram, A. Tariq, S. A. Khan, “Retinal Images Blood Vessel Segmentation”, 3rd IEEE International conference on Information and Communication Technologies, pp. 181-186, Pakistan, 15-16 August, 2009. PDF

6. M. U. Akram, A. Atzaz, M. Y. Javed, U. A. Niazi, “Preprocessing and Blood Vessel Segmentation of Retinal Images”, IASTED conference on Visualization, Imaging and Image Processing (VIIP), pp. 13-18, UK, 13-15 July 2009. PDF

7. M. U. Akram, A. Tariq, S. Nasir, S. A. Khan, “Gabor Wavelet Based Vessel Segmentation in Retinal Images”, IEEE CIIP, Tennessee, pp. 116-119, USA, 29, April, 09. PDF

8. M. U. Akram, A. Atzaz, S. F. Aneeque, S. A. Khan, “Blood Vessel Enhancement and Segmentation Using Wavelet Transform”, IEEE ICDIP, pp. 30-34, Thailand, March 2009. PDF

OD localization and Detection

1. M. U. Akram, A. Khan, K. Iqbal and W. H. Butt, “Retinal Image: Optic Disk Localization and Detection”, Image analysis and Recognition, Lecture Notes in Computer Science, (Berlin, Heidelberg: Springer), LNCS 6112, pp.40-49, Portugal, June10. PDF

2. K. Yaseen, A. Tariq and M. U. Akram, “A Comparison and Evaluation of Computerized Methods for OD Localization and Detection in Retinal Images”, International Journal of Future Computer and Communication, Vol. 2, No. 6, 613-616, 2013. PDF

3. M. U. Akram and A. Tariq, “Automated Optic Disk Localization and Detection in Colored Retinal Images”, ACM FIT, Pakistan, Dec 2009. PDF

Macula Detection

1. A. Tariq, A. Shaukat, S. A. Khan, “Guassian Mixture model based detection of macula in fundus images”, LNCS, ICONIP 2012, pp. 33-40, Nov 2012. PDF

2. M. Mubbashar, A. Usman and M. U. Akram, “Automated System for Macula Detection in Digital Retinal Images”, IEEE ICICT, July 2011, Karachi, Pakistan PDF

Retinal Recognition

1. J. Fatima, A. M. Syed, M. U. Akram, “Feature Point Validation for Improved Retina Recognition’, 2013 IEEE Workshop on Biometrics Measurements and Systems for Security and Medical Applications, Italy, Sept 2013.

2. J. Fatima, M. U. Akram, A. M. Syed, ”A Secure Personal Identification System Based on Human Retina”, 2013 IEEE Symposium on Industrial Electronics and Applications (ISIEA 2013), Malaysia, 2013.

3. S. Qamber, Z. Waheed, M. U. Akram, “Personal Identification System Based on Vascular Pattern of Human Retina”, 6th Cairo International Conference on Biomedical Engineering, pp.64-67, Egypt, 2012. PDF

4. M. U. Akram, A. Tariq and S. A. Khan, “Retinal Recognition: Personal Identification using Blood Vessels”, 6th International Conference on Internet Technology and Secured Transactions (ICITST 2011), pp. 180-184, 11-14 Dec, UAE. PDF

Fingerprint Recognition

1. S. Javed, A. Tariq, “Computerized System for fingerprint classification using singular points”, INMIC, Dec 2011. PDF

2. A. Batool, A. Tariq, “Computerized System for fingerprint identification for biometric security”, INMIC, Dec 2011. PDF

3. A. Saeed, A. Tariq, U. Jawaid, “Automated System for fingerprint Image enhancement using improved segmentation and Gabor wavelets” IEEE ICICT, 2011. PDF

4. A. Tariq, M. U. Akram, S. Nasir, R. Arshad, “Fingerprint Image Postprocessing Using Windowing Technique”, Image analysis and Recognition, Lecture Notes in Computer Science, (Berlin, Heidelberg: Springer), LNCS 5112, pp. 915–924, Portugal, June08. PDF

5. R. Anwar, M. U. Akram, R. Arshad, “A Modified Singular Point Detection Algorithm”, Image analysis and Recognition, Lecture Notes in Computer Science, (Berlin, Heidelberg: Springer), LNCS 5112, pp. 905–914, Portugal, June 2008. PDF

6. M. U. Akram, A. Tariq, S. Nasir, S. A. Khan, “Fingerprint Image: Pre and Post-Processing”, International Journal of Biometrics, Inderscience, Vol.1, No.1, pp. 63-80, May2008 [ISSN # 1755-8301] PDF

7. A. Tariq, M. U. Akram and S. A Khan, “An Automated System for Fingerprint Classification using Singular Points for Biometric Security”, 6th International Conference on Internet Technology and Secured Transactions (ICITST 2011), pp. 170-175, 11-14 Dec, UAE. PDF

8. M. U. Akram, A. Ayaz and J. Imtiaz, “Morphological and Gradient Based Fingerprint Image Segmentation”, IEEE ICICT, July 2011, Karachi, Pakistan. PDF

9. M. U. Akram, S. Nasir, A. Tariq, I. Zafar, “Improved Fingerprint Image Segmentation using New Modified Gradient Based Technique”, 21st IEEE Canadian conference on Electrical and Computer Engineering, pp. 1967-1971, Canada, May08. PDF

10. M. U. Akram, A. Tariq, S. Nasir, A. Khanum, “Core Point Detection Using Improved Segmentation and orientation”, The 6th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA08), pp.637-644, Qatar, April 2008. PDF

11. M. U. Akram, A. Tariq, S. Jabeen, S. A. Khan, “Fingerprint Image Segmentation Based on Boundary Values”, 3rd International Conference on Computer Vision Theory and Applications (VISAPP08), Vol.1, pp. 134-138, Portugal, Jan 2008. PDF

12. M. U. Akram, S. Nasir, R. Anwer, R. Arshad, S. A. Khan, “Core Point Detection Using Fine Orientation Field Estimation”, 3rd International Conference on Computer Vision Theory and Applications (VISAPP08), Portugal, Vol.1, pp. 351-356, Jan 2008. PDF

Ear Recognition

1. A. Tariq, M, Usman Akram, Personal Identification using Ear Recognition, TELKOMNIKA Indonesian Journal on Electrical Engineering, Vol. 10, No. 2, pp. 321-326, 2012. PDF

2. A. Tariq, M. A. Anjum, M. U. Akram, “Personal Identification using Computerized Human Ear Recognition System”, IEEE International Conference on Computer Science and Network Technology (ICCSNT 2011), pp. 50-54, Dec 2011, China. PDF

liver Segmentation

1. M. U. Akram, A. Khanum, Khalid Iqbal, “An automated System for Liver CT Enhancement and Segmentation”, ICGST-GVIP Journal, Vol. 10, No. 4, pp. 17-22, October 2010 [ISSN # 1687-4005] PDF