Publications

Book Chapters:

  1. Hassan, Taimur, Muhammad Usman Akram, and Imran Basit. “Analysis of optical coherence tomography images using deep convolutional neural network for maculopathy grading.” In Diabetes and Retinopathy, pp. 93-108. Elsevier, 2020.
  2. Khalid, Bushra, Muhammad Usman Akram, and Asad Mansoor Khan. “Multistage Deep Neural Network Framework for People Detection and Localization Using Fusion of Visible and Thermal Images.” In International Conference on Image and Signal Processing, pp. 138-147. Springer, Cham, 2020.
  3. Mubarak Q., Akram M.U., Shaukat A., Ramazan A. (2019) Quality Assessment and Classification of Heart Sounds Using PCG Signals. In: Khan F., Jan M., Alam M. (eds) Applications of Intelligent Technologies in Healthcare. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-319-96139-2_1
  4. Muhammad Usman, “Image Segmentation & Classification”, Digital image processing, published by university of agriculture, Faisalabad, 2017.
  5. Aslam, W., Khan, M. A., Akram, M. U., Saqib, N. A., & Rho, S. (2016). Energy Efficient Image Compression and Transmission in WSN. Emerging Innovations in Wireless Networks and Broadband Technologies, 67.
  6. Samra Irshad, Usman Akram, Sara Ayub, Anaum Ayaz, “Retinal Blood Vessels Differentiation for calculation of Arterio-Venous Ratio”, Image analysis and Recognition, Lecture Notes in Computer Science, LNCS, Canada, 2015
  7. Ammama Furrukh Gill, Syeda Alishbah Fatima, Usman Akram, Sajid Gul Khawaja, Saqib Ejaz Awan , “Analysis of EEG Signals for Detection of Epileptic Seizure using Hybrid Feature Set”,  Theory and Applications of Applied Electromagnetics, Lecture Notes in Electrical Engineering, Volume 344, pp 49-57, 2015
  8. 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. U. Azhar, M. D. Ashraf, A. Haider, S. O. Maruf, M. Naqvi, S. G. Khawaja, M. U. Akram, “Separation and Classification of Crackles and Bronchial Breath Sounds from Normal Breath Sounds Using Gaussian Mixture Model”, 21st International Conference on Neural Information Processing, LNCS, pp. 495-502, Malaysia, Nov 2014.
  10. Usman Akram, Sarmad Abbas, Anam Usman, Ubaid ullah Yasin, “Detection of Hemorrhages in Colored Fundus Images using Non Uniform Illumination Estimation”, Image analysis and Recognition, Lecture Notes in Computer Science, (Berlin, Heidelberg: Springer), LNCS, pp.329-336, Portugal, 2014.
  11. Anam Usman, Sarmad Abbas, Usman Akram, Yasser Nadeem, ” A Robust Algorithm for Optic Disc Segmentation from Colored Fundus Images”, Image analysis and Recognition, Lecture Notes in Computer Science, (Berlin, Heidelberg: Springer), LNCS, pp. 303-310, Portugal, 2014.
  12. Usman Akram, Shehzad Khalid, “A software system for grading diabetic retinopathy by analyzing retinal images”, In book “Knowledge based processes in software development”, IGI Global, 2012.
  13. Usman Akram, Mahmood Akhtar, M. Younus Javed, “An Automated System for the Grading of Diabetic Maculopathy in Fundus Images”, 19th International Conference on Neural Information Processing, LNCS 6666, pp. 36-43, Nov 2012, Qatar
  14. Usman Akram, Anam 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.
  15. Usman Akram, Aftab Khan, Khalid Iqbal and Wasi Haider 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.
  16. Anam Tariq, Usman Akram, Sarwat Nasir, Rabia 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.
  17. Rabia Anwar, M. Usman Akram, Rabia 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.

ISI Indexed / Impact Factor Journal Papers:

  1. Ahmad, Muhammad Waqas, Muhammad Usman Akram, Mashood Mohammad Mohsan, Kashif Saghar, Rashid Ahmad, and Wasi Haider Butt. “Transformer-based sensor failure prediction and classification framework for UAVs.” Expert Systems with Applications 248 (2024): 123415. [Impact Factor: 8.5]
  2. Khan, Aliya A., Muhammad U. Akram, Wasi H. Butt, and Mehreen Sirshar. “An Enhanced Agile V-Model: Conformance to regulatory bodies and experiences from model’s adoption to medical device development.” Heliyon (2024). [Impact Factor: 4]
  3. Ahmad, Muhammad Waqas, and Muhammad Usman Akram. “UAV sensor failures dataset: Biomisa arducopter sensory critique (BASiC).” Data in Brief 52 (2024): 110069. [Impact Factor: 1.2]
  4. Asaf, Muhammad Zeeshan, Babar Rao, Muhammad Usman Akram, Sajid Gul Khawaja, Samavia Khan, Thu Minh Truong, Palveen Sekhon, Irfan J. Khan, and Muhammad Shahmir Abbasi. “Dual contrastive learning based image-to-image translation of unstained skin tissue into virtually stained H&E images.” Scientific Reports 14, no. 1 (2024): 2335. [Impact Factor: 4.6]
  5. Safder, Syeda Noor-Ul-Huda, Muhammad Usman Akram, Muhammad Najam Dar, Aliya Ashraf Khan, Sajid Gul Khawaja, Ahmed Rauf Subhani, Imran Khan Niazi, and Sarah Gul. “Analysis of EEG signals using deep learning to highlight effects of vibration-based therapy on brain.” Biomedical Signal Processing and Control 83 (2023): 104605. [Impact Factor: 5.076]
  6. Khan, Asad Mansoor, Muhammad Usman Akram, Sajid Nazir, Taimur Hassan, Sajid Gul Khawaja, and Tatheer Fatima. “Multi-head deep learning framework for pulmonary disease detection and severity scoring with modified progressive learning.” Biomedical Signal Processing and Control 85 (2023): 104855. [Impact Factor: 5.076]
  7. Nazir, Sajid, Diane M. Dickson, and Muhammad Usman Akram. “Survey of explainable artificial intelligence techniques for biomedical imaging with deep neural networks.” Computers in Biology and Medicine (2023): 106668. [Impact Factor: 6.69]
  8. Hassan, Taimur, Zhu Li, Muhammad Usman Akram, Irfan Hussain, Kinda Khalaf, and Naoufel Werghi. “Angular contrastive distillation driven self-supervised scanner independent screening and grading of retinopathy.” Information Fusion (2023). [Impact Factor: 17.564]
  9. Khan, Asad, Muhammad Usman Akram, and Sajid Nazir. “Automated grading of chest x-ray images for viral pneumonia with convolutional neural networks ensemble and region of interest localization.” PloS one 18, no. 1 (2023): e0280352. [Impact Factor: 3.752]
  10. Ismail, Shahid, Basit Ismail, Imran Siddiqi, and Usman Akram. “PCG classification through spectrogram using transfer learning.” Biomedical Signal Processing and Control 79 (2023): 104075. [Impact Factor: 5.076]
  11. Mohsan, Mashood Mohammad, Muhammad Usman Akram, Ghulam Rasool, Norah Saleh Alghamdi, Muhammad Abdullah Aamer Baqai, and Muhammad Abbas. “Vision Transformer and Language Model Based Radiology Report Generation.” IEEE Access 11 (2022): 1814-1824 [Impact Factor: 3.476]
  12. Hassan, Taimur, Muhammad Shafay, Bilal Hassan, Muhammad Usman Akram, Ayman ElBaz, and Naoufel Werghi. “Knowledge distillation driven instance segmentation for grading prostate cancer.” Computers in Biology and Medicine 150 (2022): 106124. [Impact Factor: 6.69]
  13. Fatima, Joddat, Mashood Mohsan, Amina Jameel, Muhammad Usman Akram, and Adeel Muzaffar Syed. “Vertebrae localization and spine segmentation on radiographic images for feature‐based curvature classification for scoliosis.” Concurrency and Computation: Practice and Experience 34, no. 26 (2022): e7300. [Impact Factor: 1.831]
  14. Mehboob, Ayesha, Muhammad Usman Akram, Norah Saleh Alghamdi, and Anum Abdul Salam. “A Deep Learning Based Approach for Grading of Diabetic Retinopathy Using Large Fundus Image Dataset.” Diagnostics 12, no. 12 (2022): 3084. [Impact Factor: 3.992]
  15. Ismail, Shahid, Imran Siddiqi, and Usman Akram. “Heart rate estimation in PPG signals using Convolutional-Recurrent Regressor.” Computers in Biology and Medicine 145 (2022): 105470. [Impact Factor: 6.69]
  16. Dar, Muhammad Najam, Muhammad Usman Akram, Rajamanickam Yuvaraj, Sajid Gul Khawaja, and M. Murugappan. “EEG-based emotion charting for Parkinson’s disease patients using Convolutional Recurrent Neural Networks and cross dataset learning.” Computers in Biology and Medicine 144 (2022): 105327. [Impact Factor: 6.69]
  17. Sadiq, Ayesha, Sajid Gul Khawaja, Muhammad Usman Akram, Norah Saleh Alghamdi, Aimal Khan, and Arsalan Shaukat. “Machine Learning and Signal Processing Based Analysis of sEMG Signals for Daily Action Classification.” IEEE Access 10 (2022): 40506-40516. [Impact Factor: 3.367]
  18. Raja, Hina, Muhammad Usman Akram, Taimur Hassan, Aneeqa Ramzan, Amtual Aziz, and Hira Raja. “Glaucoma Detection Using Optical Coherence Tomography Images: A Systematic Review of Clinical and Automated Studies.” IETE Journal of Research (2022): 1-21. [Impact Factor: 2.33]
  19. Iqbal, Tahira, Arslan Shaukat, Muhammad Usman Akram, Abdul Wahab Muzaffar, Zartasha Mustansar, and Yung-Cheol Byun. “A Hybrid VDV Model for Automatic Diagnosis of Pneumothorax Using Class-Imbalanced Chest X-Rays Dataset.” IEEE Access 10 (2022): 27670-27683. [Impact Factor: 3.367]
  20. Khan, Asad Mansoor, Taimur Hassan, Muhammad Usman Akram, Norah Saleh Alghamdi, and Naoufel Werghi. “Continual Learning Objective for Analyzing Complex Knowledge Representations.” Sensors 22, no. 4 (2022): 1667. [Impact Factor: 3.56]
  21. Mushtaq, Malaika, Muhammad Usman Akram, Norah Saleh Alghamdi, Joddat Fatima, and Rao Farhat Masood. “Localization and Edge-Based Segmentation of Lumbar Spine Vertebrae to Identify the Deformities Using Deep Learning Models.” Sensors 22, no. 4 (2022): 1547. [Impact Factor: 3.56]
  22. Zaidi, S. Zainab Yousuf, M. Usman Akram, Amina Jameel, and Norah Saleh Alghamdi. “A deep learning approach for the classification of TB from NIH CXR dataset.” IET Image Processing 16, no. 3 (2022): 787-796. [Impact Factor: 2.373]
  23. Muhammad Waqas Ahmad, Muhammad Usman Akram, Rashid Ahmad, Khurram Hameed, Ali Hassan, Intelligent framework for automated failure prediction, detection, and classification of mission critical autonomous flights, ISA Transactions, 2022, [Impact Factor: 5.468]
  24. Sirshar, Mehreen, Muhammad Faheem Khalil Paracha, Muhammad Usman Akram, Norah Saleh Alghamdi, Syeda Zainab Yousuf Zaidi, and Tatheer Fatima. “Attention based automated radiology report generation using CNN and LSTM.” PloS one 17, no. 1 (2022): e0262209. [Impact Factor: 3.24]
  25. Fatima, Joddat, Amina Jameel, Muhammad Usman Akram, Adeel Muzaffar Syed, and Malaika Mushtaq. “Automatic Localization and Segmentation of Vertebrae for Cobb Estimation and Curvature Deformity.” Intelligent Automation and Soft Computing 34, no. 3 (2022): 1489-1504. [Impact Factor: 3.401]
  26. Fatima, Joddat, Muhammad Usman Akram, Amina Jameel, and Adeel Muzaffar Syed. “Spinal vertebrae localization and analysis on disproportionality in curvature using radiography—a comprehensive review.” EURASIP Journal on Image and Video Processing 2021, no. 1 (2021): 1-23. [Impact Factor: 2.50]
  27. Iqbal, Tahira, Arslan Shaukat, Usman Akram, Zartasha Mustansar, and Aimal Khan. “Automatic diagnosis of pneumothorax from chest radiographs: a systematic literature review.” IEEE Access (2021). Impact Factor: 3.367]
  28. Hassan, Taimur, Bilal Hassan, Muhammad Usman Akram, Shahrukh Hashmi, Abdel Hakim Taguri, and Naoufel Werghi. “Incremental Cross-Domain Adaptation for Robust Retinopathy Screening via Bayesian Deep Learning.” IEEE Transactions on Instrumentation and Measurement 70 (2021): 1-14. Impact Factor: 4.016]
  29. Hassan, Bilal, Shiyin Qin, Taimur Hassan, Muhammad Usman Akram, Ramsha Ahmed, and Naoufel Werghi. “CDC-Net: Cascaded decoupled convolutional network for lesion-assisted detection and grading of retinopathy using optical coherence tomography (OCT) scans.” Biomedical Signal Processing and Control 70 (2021): 103030. [Impact Factor: 3.88]
  30. Zaidi, S. Zainab Yousuf, M. Usman Akram, Amina Jameel, and Norah Saleh Alghamdi. “Lung Segmentation based Pulmonary Disease Classification using Deep Neural Networks.” IEEE Access (2021). [Impact Factor: 3.367]
  31. Mehreen Sirshar; Taimur Hassan; Muhammed Usman Akram; Shoab Ahmed Khan, “An Incremental Learning Approach to Automatically Recognize Pulmonary Diseases from the Multi-vendor Chest Radiographs”, Computers in Biology and Medicine, 2021. [Impact Factor: 3.34]
  32. Ismail, Shahid, Usman Akram, and Imran Siddiqi. “Heart rate tracking in photoplethysmography signals affected by motion artifacts: a review.” EURASIP Journal on Advances in Signal Processing 2021, no. 1 (2021): 1-27. [Impact Factor: 1.4]
  33. Khalil, Tehmina, Muhammad Usman Akram, Samina Khalid, Saadat Hanif Dar, and Nouman Ali. “A study to identify limitations of existing automated systems to detect glaucoma at initial and curable stage.” International Journal of Imaging Systems and Technology, 2021 [Impact Factor: 1.91]
  34. Hassan, Taimur, Muhammad Usman Akram, Naoufel Werghi, and Muhammad Noman Nazir. “RAG-FW: A hybrid convolutional framework for the automated extraction of retinal lesions and lesion-influenced grading of human retinal pathology.” IEEE journal of biomedical and health informatics 25, no. 1 (2021): 108-120. [Impact Factor: 5.223]
  35. Raja, Hina, Taimur Hassan, Muhammad Usman Akram, and Naoufel Werghi. “Clinically Verified Hybrid Deep Learning System for Retinal Ganglion Cells Aware Grading of Glaucomatous Progression.” IEEE Transactions on Biomedical Engineering (2020). [Impact Factor: 4.42]
  36. Safdar, Saria, Shoab Ahmed Khan, Arslan Shaukat, and Usman Akram. “Genetic Algorithm based Automatic Out-Patient Experience Management System (GAPEM) using RFIDs and Sensors.” IEEE Access (2020). [Impact Factor: 4.098]
  37. Raja, Hina, M. Usman Akram, Arslan Shaukat, Shoab Ahmed Khan, Norah Alghamdi, Sajid Gul Khawaja, and Noman Nazir. “Extraction of Retinal Layers Through Convolution Neural Network (CNN) in an OCT Image for Glaucoma Diagnosis.” Journal of Digital Imaging (2020): 1-15. [Impact Factor: 3.697]
  38. Dar, M.N.; Akram, M.U.; Khawaja, S.G.; Pujari, A.N. CNN and LSTM-Based Emotion Charting Using Physiological Signals. Sensors 2020, 20, 4551. [Impact Factor: 3.275]
  39. Khan, Aliya A., Shahbaz K. Ranjha, Muhammad U. Akram, Sajid G. Khawaja, and Arslan Shaukat. “Neurotransmission Cognitive Theory: A novel approach for non-Invasive brain stimulation using mechanical vibrations for the rehabilitation of neurological patients.” Medical Hypotheses (2020): 110078. [Impact Factor: 1.375]
  40. Stanke, L.; Kubicek, J.; Vilimek, D.; Penhaker, M.; Cerny, M.; Augustynek, M.; Slaninova, N.; Akram, M.U. Towards to Optimal Wavelet Denoising Scheme—A Novel Spatial and Volumetric Mapping of Wavelet-Based Biomedical Data Smoothing. Sensors 2020, 20, 5301. [Impact Factor: 3.275]
  41. Khalid, Samina, Muhammad Usman Akram, Tehmina Shehryar, Waqas Ahmed, Marium Sadiq, Mahak Manzoor, and Nelam Nosheen. “Automated diagnosis system for age‐related macular degeneration using hybrid features set from fundus images.” International Journal of Imaging Systems and Technology. [Impact Factor: 1.925]
  42. Hassan, Taimur, Muhammad Usman Akram, Naoufel Werghi, and Noman Nazir. “RAG-FW: A hybrid convolutional framework for the automated extraction of retinal lesions and lesion-influenced grading of human retinal pathology.” IEEE Journal of Biomedical and Health Informatics (2020). [Impact Factor: 4.217]
  43. Shehryar, Tehmina, Muhammad U. Akram, Samina Khalid, Shamila Nasreen, Anum Tariq, Aqib Perwaiz, and Arslan Shaukat. “Improved automated detection of glaucoma by correlating fundus and SD‐OCT image analysis.” International Journal of Imaging Systems and Technology (2020). [Impact Factor: 1.925]
  44. Noor, F., Akram, M. U., Shah, A., & Khan, S. A. (2019). Key individual identification using dimensional relevance in the stratum of networks. Journal of Intelligent & Fuzzy Systems, 37(2), 2153–2167. doi:10.3233/jifs-181517 . [Impact Factor: 1.637]
  45. Nazir, Tahira, Aun Irtaza, Zain Shabbir, Ali Javed, Usman Akram, and Muhammad Tariq Mahmood. “Diabetic retinopathy detection through novel tetragonal local octa patterns and extreme learning machines.” Artificial intelligence in medicine 99 (2019): 101695. [Impact Factor: 3.57]
  46. Ahmad, Ibtihaj, Farhan Hussain, Shoab Ahmad Khan, Usman Akram, and Gwanggil Jeon. “CPS-based fully automatic cardiac left ventricle and left atrium segmentation in 3D MRI.” Journal of Intelligent & Fuzzy Systems Preprint: 1-12. [Impact Factor: 1.637]
  47. Akbar, Shahzad, Muhammad Sharif, Muhammad Usman Akram, Tanzila Saba, Toqeer Mahmood, and Mahyar Kolivand. “Automated techniques for blood vessels segmentation through fundus retinal images: A review.” Microscopy research and technique (2019). [Impact Factor: 1.087]
  48. Malik, Shahid Ismail, Muhammad Usman Akram, and Imran Siddiqi. “Localization and classification of heartbeats using robust adaptive algorithm.” Biomedical Signal Processing and Control 49 (2019): 57-77. [Impact Factor: 2.783]
  49. Hassan, Taimur, Muhammad Usman Akram, Muhammad Furqan Masood, and Ubaidullah Yasin. “Deep structure tensor graph search framework for automated extraction and characterization of retinal layers and fluid pathology in retinal SD-OCT scans.” Computers in Biology and Medicine (2019). [Impact Factor: 2.115]
  50. Mushtaq, Hassan, Sajid Gul Khawaja, Muhammad Usman Akram, Amanullah Yasin, Muhammad Muzammal, Shehzad Khalid, and Shoab Ahmad Khan. “A Parallel Architecture for the Partitioning around Medoids (PAM) Algorithm for Scalable Multi-Core Processor Implementation with Applications in Healthcare.” Sensors 18, no. 12 (2018): 4129. [Impact Factor: 2.457]
  51. Syed, Adeel M., M. Usman Akram, Tahir Akram, Muhammad Muzammal, Shehzad Khalid, and Muazzam Ahmed Khan. “Fundus Images-Based Detection and Grading of Macular Edema Using Robust Macula Localization.” IEEE Access 6 (2018): 58784-58793. [Impact Factor: 3.557]
  52. Hassan, Taimur, M. Usman Akram, Mahmood Akhtar, Shoab Ahmad Khan, and Ubaidullah Yasin. “Multilayered Deep Structure Tensor Delaunay Triangulation and Morphing Based Automated Diagnosis and 3D Presentation of Human Macula.” Journal of medical systems 42, no. 11 (2018): 223. [Impact Factor: 2.098]
  53. Ramzan, Aneeqa, M. Usman Akram, Arslan Shaukat, Sajid Gul Khawaja, Ubaid Ullah Yasin, and Wasi Haider Butt. “Automated Glaucoma Detection using Retinal Layers Segmentation and Optic Cup to Disc Ratio in OCT Images.” IET Image Processing (2018). [Impact Factor: 1.401]
  54. Taimur Hassan, M. Usman Akram, Arslan Shaukat, Sajid Gul Khawaja, Bilal Hassan, “Structure tensor graph searches based fully automated grading and 3D profiling of maculopathy from retinal OCT images”, Accepted in IEEE Access, July 2018. [Impact Factor: 3.557]
  55. Akram, Muhammad Usman, Arslan Shaukat, Farhan Hussain, Sajid Gul Khawaja, and Wasi Haider Butt. “Analysis of PCG signals using quality assessment and homomorphic filters for localization and classification of heart sounds.” Computer Methods and Programs in Biomedicine 164 (2018): 143-157. [Impact factor: 2.674]
  56. Akbar, Shahzad, Muhammad Usman Akram, Muhammad Sharif, Anam Tariq, and Shoab A. Khan. “Decision support system for detection of hypertensive retinopathy using arteriovenous ratio.” Artificial intelligence in medicine (2018). [Impact factor: 2.879]
  57. Ismail, Shahid, Imran Siddiqi, and Usman Akram. “Localization and classification of heart beats in phonocardiography signals—a comprehensive review.” EURASIP Journal on Advances in Signal Processing 2018 (2018): 1-27. [Impact factor: 1.961]
  58. Noor, Fozia, Asadullah Shah, Mohammad Usman Akram, and Shoab Ahmad Khan. “Deployment of social nets in multilayer model to identify key individuals using majority voting.” Knowledge and Information Systems (2018): 1-25. [Impact factor: 2.004]
  59. Jamil, Uzma, Shehzad Khalid, Usman Akram, Awais Ahmad, and Sohail Jabbar. “Melanocytic and nevus lesion detection from diseased dermoscopic images using fuzzy and wavelet techniques.” Soft Computing (2018): 1-17. [Impact factor: 2.472]
  60. Khalil, Tehmina, Usman Akram, Hina Raja, Amina Jameel, and Imran Basit. “Detection of Glaucoma using Cup to Disc Ratio from Spectral Domain Optical Coherence Tomography Images.” IEEE Access (2018). [Impact factor: 3.24]
  61. Shahzad Akbar, Muhammad Usman Akram, Muhammad Sharif, Anam Tariq, Ubaid ullah Yasin, Arteriovenous ratio and papilledema based hybrid decision support system for detection and grading of hypertensive retinopathy, In Computer Methods and Programs in Biomedicine, Volume 154, 2018, Pages 123-141 [Impact factor: 2.5]
  62. Samina Khalid, Muhammad Usman Akram, Taimur Hassan, Amina Jameel, Tehmina Khalil, Automated segmentation and quantification of drusen in fundus and optical coherence tomography images for detection of ARMD, Journal of Digital Imaging, 2017 [Impact factor: 1.407]
  63. Akram, Muhammad Usman, Abu Bakar Nisar Alvi, and Shoab Ahmed Khan. “Automatic Detection and Classification of Malarial Retinopathy-Associated Retinal Whitening in Digital Retinal Images.” Mehran University Research Journal of Engineering and Technology 36, no. 4 (2017): 16.
  64. Tehreem, Amna, Sajid Gul Khawaja, Asad Mansoor Khan, Muhammad Usman Akram, and Shoab A. Khan. “Multiprocessor architecture for real-time applications using mean shift clustering.” Journal of Real-Time Image Processing (2017): 1-14. [Impact factor: 2.01]
  65. Khalil, Tehmina; Usman Akram, Muhammad; Khalid, Samina; Jameel, Amina: ‘Improved automated detection of glaucoma from fundus image using hybrid structural and textural features’, IET Image Processing, 2017, 11, (9), p. 693-700, [Impact factor: 1.401]
  66. Akbar, Shahzad, Muhammad Usman Akram, Muhammad Sharif, Anam Tariq, and Ubaid ullah Yasin. “Decision Support System for Detection of Papilledema through Fundus Retinal Images.” Journal of Medical Systems 41, no. 4 (2017): 66. [Impact factor: 2.213]
  67. Samina Khalid, Usman Akram, Taimur Hassan, Ammara Nasim, and Amina Jameel, “Fully Automated Robust System to Detect Retinal Edema, Central Serous Chorioretinopathy, and Age Related Macular Degeneration from Optical Coherence Tomography Images,” BioMed Research International, vol. 2017, Article ID 7148245, 15 pages, 2017. doi:10.1155/2017/7148245 [Impact Factor: 2.134]
  68. Khush Naseeb Fatima, Taimur Hassan, Usman Akram, Mahmood Akhtar, and Wasi Haider Butt, “Fully automated diagnosis of papilledema through robust extraction of vascular patterns and ocular pathology from fundus photographs,” Biomed. Opt. Express 8, 1005-1024 (2017) [Impact Factor: 3.34]
  69. Khawaja, Sajid Gul, Usman Akram, Shoab Ahmed Khan, Arslan Shaukat, and Saad Rehman. “Network-on-Chip based MPSoC architecture for k-mean clustering algorithm.” Microprocessors and Microsystems 46 (2016): 1-10. [Impact Factor: 0.471]
  70. Jamil, Uzma, Usman Akram, Shehzad Khalid, Sarmad Abbas, and Kashif Saleem. “Computer Based Melanocytic and Nevus Image Enhancement and Segmentation.” BioMed Research International 2016 (2016). [Impact Factor: 2.134]
  71. Batool, Humaira, Usman Akram, Fouzia Batool, and Wasi Haider Butt. “Intelligent framework for diagnosis of frozen shoulder using cross sectional survey and case studies.” SpringerPlus 5, no. 1 (2016): 1840.
  72. Khalid, Shehzad, Uzma Jamil, Kashif Saleem, Usman Akram, Waleed Manzoor, Waqas Ahmed, and Amina Sohail. “Segmentation of skin lesion using Cohen–Daubechies–Feauveau biorthogonal wavelet.” SpringerPlus 5, no. 1 (2016): 1603. [Impact Factor: 0.982]
  73. Salam, Anum A., Tehmina Khalil, 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]
  74. Syed, Adeel M., Taimur Hassan, 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]
  75. Waheed, Zahra, 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). [Impact Factor: 1.084]
  76. Saima Shaheen, M. Usman Akram, Aasia Khannum, Shoab A. Khan, M.Younas Javed, A Cross Layer Error Control Scheme for Efficient WLAN Multimedia Streaming, Multimedia Tools and Applications, Accepted [impact factor: 1.346]
  77. Hassan, Bilal, Gulistan Raja, Taimur Hassan, and 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]
  78. Taimur Hassan, 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]
  79. 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]
  80. Amna Waheed, 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]
  81. Sheeraz Akram, Muhammad Younus Javed, Usman Akram, Usman Qamar and Ali Hassan, “Pulmonary Nodules Detection and Classification Using Hybrid Features from Computerized Tomographic Images”, J. Med. Imaging Health Info. Vol. 6, No. 1, 1-8, 2016. [impact factor: 0.503]
  82. Amna Waheed, Zahra Waheed, Usman Akram, Arslan Shaukat, “Removal of False Blood Vessels Using Shape Based Features and Image Inpainting,” Journal of Sensors, vol. 2015, Article ID 839894, 13 pages, 2015. doi:10.1155/2015/839894. [impact factor: 1.182]
  83. Saima Shaheen, Aasia Khannum, Usman Akram, Shoab A.Khan, SangHyun Seo, M.Younas Javed, “Evaluating the Significance of Error Checksums for Wireless Video Streaming”, Multimedia Tools and Applications, Accepted [impact factor: 1.346]
  84. Saima Shaheen, M. Younus Javed, Muid Mufti, Shehzad Khalid, Aasia Khanum, Shoab A. Khan and Usman Akram, “A Novel Compression Technique for Multi-Camera Nodes through Directional Correlation”, International Journal of Distributed Sensor Networks, Article ID 539838, Feb 2015. [impact factor: 0.923]
  85. Sajid Gul Khawaja, Mian Hamza Mushtaq, Shoab A. Khan, Usman Akram, Habib ullah Jamal, ” Designing Area Optimized Application-Specific Network-On-Chip Architectures while Providing Hard QoS Guarantees”, Plos One, April 21, 2015, DOI: 10.1371/journal.pone.0125230 [impact factor: 3.534]
  86. Akram, M. Y. Javed, A. Hussain, F. Riaz, M. U. Akram, “Intensity Based Statistical Features for Classification of Lungs CT Scan Nodules Using Artificial Intelligence”, Taylor and Francis Journal of Experimental and Theoretical Artificial Intelligence, Vol. 27, No. 6, 2015. [impact factor: 1.0]
  87. Shehzad Khalid, Usman Akram, Shahid Razzaq, “Behaviour recognition using multivariate m-Mediods based modelling of motion trajectories”, Multimedia Systems, 485-505, 21(5), Oct 2015. [impact factor: 0.619]
  88. Wasi Haider Butt, Usman Akram, Shoab A Khan, M. Yonus Javed,  “Covert Network Analysis for Key Player Detection and Event Prediction Using a Hybrid Classifier,” The Scientific World Journal, vol. 2014, Article ID 615431, 13 pages, 2014. doi:10.1155/2014/615431. [impact factor: 1.730]
  89. Usman Akram, Anam Tariq, Shoab A Khan, M. Younus Javed, “Automated Detection of Exudates and Macula for Grading of Diabetic Macular Edema”, Computer Methods and Programs in Biomedicines, Volume 114, Issue 2, pp. 141–152,  April 2014. [impact factor: 1.555]
  90. Usman Akram, Shehzad Khalid, Anam Tariq, Shoab A Khan, Farooque Azam, “Detection and Classification of Retinal Lesions for Grading of Diabetic Retinopathy”, Computers in Biology and Medicines, Volume 45, Issue 1, pp. 161–171, , February 2014. [impact factor: 1.162]
  91. Usman Akram, Shehzad Khalid, Anam Tariq, M. Younus Javed, “Detection of Neovascularization in Retinal Images using Multivariate m-Mediods based Classifier”, Computerized Medical Imaging and Graphics, Vol 37, pp. 346-357, 2013 [impact factor: 1.664]
  92. Anam Tariq, Usman Akram, Arslan Shaukat, Shoab A Khan, Automated Detection and Grading of Diabetic Maculopathy in Digital Retinal Images Springer Journal of Digital Imaging, Vol. 26, No. 4, pp. 803-812, 2013. [Impact factor: 1.255]
  93. Usman Akram, Shehzad 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]
  94. Usman Akram and Shoab 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]
  95. Usman Akram, Anam Tariq, M. Almas Anjum, M. Younus 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]
  96. Usman Akram and Shoab 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:1.783]

Non Impact Factor Indexed Journals:

  1. Akram, M. Usman, Anum Abdul Salam, Sajid Gul Khawaja, Syed Gul Hassan Naqvi, and Shoab Ahmed Khan. “RIDB: A Dataset of fundus images for retina based person identification.” Data in Brief 33 (2020): 106433.
  2. Khan, Asad Mansoor, Sajid Gul Khawaja, Muhammad Usman Akram, and Ali Saeed Khan. “sEMG dataset of routine activities.” Data in Brief 33 (2020): 106543.
  3. Akram, Muhammad Usman, Shahzad Akbar, Taimur Hassan, Sajid Gul Khawaja, Ubaidullah Yasin, and Imran Basit. “Data on fundus images for vessels segmentation, detection of hypertensive retinopathy, diabetic retinopathy and papilledema.” Data in brief 29 (2020): 105282.
  4. Raja, Hina, M. Usman Akram, Sajid Gul Khawaja, Muhammad Arslan, Aneeqa Ramzan, and Noman Nazir. “Data on OCT and fundus images for the detection of glaucoma.” Data in brief (2020): 105342.
  5. Mehmood, M.Usman Akram, A. Tariq, A. Fatima, “A Comparison of Mean Models and Clustering Techniques for Vertebra Detection and Region Separation from C-Spine X-Rays”, Advances in Science, Technology and Engineering Systems Journal, vol. 2, no. 3, pp. 1758-1770 (2017).
  6. Muhammad Aziz ul haq, Hifsa Irum & Muhammad Usman Akram, Indoor Localization using Improved Weighted Naïve Bayes, International Journal of Computer Science and Information Security, Volume 15 No. 4, April 2017
  7. Farooq, Sumaiyya, Shoab A. Khan, and Usman Akram. “Congestion analysis of pilgrims in Hajj and Umrah congregation using block matching and optical flow.” In Journal of Physics: Conference Series, vol. 787, no. 1, p. 012003. IOP Publishing, 2017.
  8. Hussain, Fatima, Sayyada Humaira Batool, and M. Usman Akram. “Diagnosis of Sciatica Based on Cross Sectional Study and Analysis.” International Journal of Computer Science and Information Security 14, no. 9 (2016): 1157.
  9. Akbar, M. Usman, M. Usman Akram, Adeel M. Syed, and Joddat Fatima. “Digital Fundus Image Stitching for Generation of Retinal Mosaicto Help Ophthalmologists.” Asian Journal of Engineering, Sciences & Technology (2016).
  10. Fatima, Joddat, M. Usman Akram, Adeel M. Syed, and M. Usman Akbar. “A Review Analysis on Ophthalmology Caused by Hypertensionusing Structural Features of Eye.” Asian Journal of Engineering, Sciences & Technology (2016).
  11. Anum Mehmood, M. Usman Akram, Mahmood Akhtar, Vertebra Localization Using Shape Based Analysis and Unsupervised Clustering from X-ray Images, PJCIS (2016), Vol. 1, No. 1 : 29-41
  12. Anum Abdul Salam, Usman Akram, Shafaat A. Bazaz, Syed Muhammad Anwar, Kamran Wazir, Imran Basit, Improved automated detection of glaucoma from fundus image using hybrid features, Al-Shifa Journal of Ophthalmology, 11(2): 103-115, 2015
  13. S Rashid, U Akram, SA Khan , WML: Wireless Sensor Network based Machine Learning for Leakage Detection and Size Estimation, Procedia Computer Science, 2015
  14. Faraz Tahir, Usman Akram, Mujahid Abbas, Albab Ahmad Khan, Detection of Laser Marks from Retinal Images for Improved Diagnosis of Diabetic Retinopathy, International Journal of Computer Information Systems and Industrial Management Application, Vol 7, pp. 131 – 138, 2015
  15. Daniyal Usmani, Usman Akram, Sarmad Abbas, Tanveer Ahmed and Imran Basit, “Generation of Retinal Image Mosaic using Weber Local Descriptor”, Journal of Information Assurance and Security , pp. 111 – 119, Vol 10, No. 3, 2015
  16. Israr Ul Haq, Usman Akram, Yoshifumi Saijoz, “Detection of Abnormal Blood Vessels on Optic Disc for Diagnosis of Proliferative Diabetic Retinopathy”, Journal of the Institute of Industrial Applications Engineers Vol.3, No.1, pp.1–5, 2015
  17. Israr ul haq, Usman Akram, Yoshifumi Saijo, “Automated detection of optic disc using vessels tracking”, Transactions of Japanese Society for Medical and Biological Engineering, 52, pp 283-284 (2014)
  18. Safia Shabbir, Anam Tariq and Usman 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.
  19. Kiran Yaseen, Anam Tariq and Usman 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.
  20. Ibaa Jamal, M Usman Akram, Retinal Image Preprocessing:
    Background and Noise Segmentation , TELKOMNIKA Indonesian Journal on Electrical Engineering, Vol. 10, No. 3, pp. 537-544, 2012
  21. Usman Akram, Ibaa Jamal, Anam Tariq, “Blood Vessel Enhancement and Segmentation for Screening of Diabetic Retinopathy”, TELKOMNIKA Indonesian Journal on Electrical Engineering, Vol. 10, No. 2, pp. 327-334, 2012
  22. Anam Tariq, M, Usman Akram, Personal Identification using Ear Recognition, TELKOMNIKA Indonesian Journal on Electrical Engineering, Vol. 10, No. 2, pp. 321-326, 2012
  23. Usman Akram, Assia 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]
  24. Usman Akram, Anam Tariq, Sarwat Nasir, Shoab A. Khan, “Fingerprint Image: Pre and Post-Processing”, International Journal of Biometrics, Inderscience, Vol.1, No.1, pp. 63-80, May2008 [ISSN # 1755-8301]

Conference Proceedings:

  1. Hassan, Taimur, Muhammad Usman Akram, and Naoufel Werghi. “Exploiting the Transferability of Deep Learning Systems Across Multi-modal Retinal Scans for Extracting Retinopathy Lesions.” In 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE), pp. 577-581. IEEE, 2020.
  2. Khan, S. A., Iftikhar, F., & Akram, U. (2019, October). Geometry Augmented SURF with Modified Sobel for Improved Affine Invariance in Image Matching. In 2019 International Conference on Robotics and Automation in Industry (ICRAI) (pp. 1-6).
  3. Rahim, A., Sagheer, A., Nadeem, K., Dar, M. N., Rahim, A., & Akram, U. (2019, October). Emotion Charting Using Real-time Monitoring of Physiological Signals. In 2019 International Conference on Robotics and Automation in Industry (ICRAI) (pp. 1-5). IEEE.
  4. Noor, F., Akram, M. U., Shah, A., & Khan, S. A. (2019, July). Visualization: A Tool to Study Nodes in Multi-dimensional Networks. In Intelligent Computing-Proceedings of the Computing Conference (pp. 358-367). Springer, Cham.
  5. Khan, A. M., Akram, M. U., Khawaja, S. G., & Khan, A. S. (2019, June). A Machine Learning Technique to Classify LSST Observed Astronomical Objects Based on Photometric Data. In 2019 6th Swiss Conference on Data Science (SDS) (pp. 46-50). IEEE.
  6. Zahid, Z., Shaukat, A., Khan, R. A., Akram, U., & Byun, Y. C. (2019, May). Emotion Recognition in Video Clips Using Simple and Extended Center Symmetric LBP. In 2019 IEEE Transportation Electrification Conference and Expo, Asia-Pacific (ITEC Asia-Pacific) (pp. 1-6). IEEE.
  7. Raja, H., Akram, M. U., Ramzan, A., Khalil, T., Aziz, A., & Raja, H. (2019, April). A Framework for Extraction of Inner Limiting Membrane in High Speckle Noisy Images. In 2019 6th International Conference on Control, Decision and Information Technologies (CoDIT) (pp. 326-331). IEEE.
  8. Khalid, B., Khan, A. M., Akram, M. U., & Batool, S. (2019, March). Person detection by fusion of visible and thermal images using convolutional neural network. In 2019 2nd International Conference on Communication, Computing and Digital systems (C-CODE) (pp. 143-148). IEEE.
  9. Rasool, T., Butt, W. H., Shaukat, A., & Akram, M. U. (2019, February). Multi-Label Fake News Detection using Multi-layered Supervised Learning. In Proceedings of the 2019 11th International Conference on Computer and Automation Engineering (pp. 73-77).
  10. Taimur Hassan, M. Usman Akram, Anam Tariq, Furqan Masood, Ubaid ullah Yasin, Deep Learning Based Automated Extraction of Intra-Retinal Layers for Analyzing Retinal Abnormalities, accepted in 2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom), 17-20 Sept 2018, Czech Republic
  11. Majid Sharif, M. Usman Akram, Asad Waqar Malik, Extraction and Analysis of RPE layer from OCT Images for Detection of Age Related Macular Degeneration, accepted in 2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom), 17-20 Sept 2018, Czech Republic
  12. Taimur Hassan, M. Usman Akram, M. Furqan Masood, Ubaidullah Yasin, “BIOMISA Retinal Image Database for Macular and Ocular Syndromes”, Image Analysis and Recognition, Springer LNCS, June 2018.
  13. Nusratullah, Kajal, Asadullah Shah, Muhammad Usman Akram, and Shoab Ahmad Khan. “Detecting Change from Social Networks using Temporal Analysis of Email Data.” In Information Technology-New Generations, pp. 297-304. Springer, Cham, 2018.
  14. Kamboh, Hammid Mehmood Allahdita, Usman Akram, Amer Sohail, and Hifsa Iram. “Indoor Localization Using Improved Multinomial Naïve Bayes Technique.” In Proceedings of the Third International Afro-European Conference for Industrial Advancement—AECIA 2016, vol. 565, p. 321. Springer, 2017.
  15. Naveed, Madiha, Aneeqa Ramzan, and Muhammad Usman Akram. “Clinical and technical perspective of glaucoma detection using OCT and fundus images: A review.” In Next Generation Computing Applications (NextComp), 2017 1st International Conference on, pp. 157-162. IEEE, 2017.
  16. Naz, Samra, Usman Akram, and Shoab A. Khan. “Automated segmentation of retinal layers from OCT images using structure tensor and kernel regression+ GTDP approach.” In Next Generation Computing Applications (NextComp), 2017 1st International Conference on, pp. 98-102. IEEE, 2017.
  17. Shaheen, Isma, and Usman Akram. “An integrated framework for clinical grading of cataract.” In Next Generation Computing Applications (NextComp), 2017 1st International Conference on, pp. 92-97. IEEE, 2017.
  18. Farooq, Muhammad Tahir, Arslan Shaukat, Usman Akram, Omer Waqas, and Masood Ahmad. “Automatic gleason grading of prostate cancer using Gabor filter and local binary patterns.” In Telecommunications and Signal Processing (TSP), 2017 40th International Conference on, pp. 642-645. IEEE, 2017.
  19. Tehreem, Amna, Sajid Gul Khawaja, Muhammad Usman Akram, Shoab A. Khan, and Muhammad Ali. “Parallel architecture for implementation of frequent itemset mining using fp-growth.” In Signals and Systems (ICSigSys), 2017 International Conference on, pp. 92-98. IEEE, 2017.
  20. Naz, Samra, Taimur Hassan, Usman Akram, and Shoab A. Khan. “A practical approach to OCT based classification of Diabetic Macular Edema.” In Signals and Systems (ICSigSys), 2017 International Conference on, pp. 217-220. IEEE, 2017.
  21. Salam, Anum Abdul, Usman Akram, Amna Arouj, Imran Basit, Tariq Shaqur, Haroon Javed, and Kamran Wazir. “Benchmark data set for glaucoma detection with annotated cup to disc ratio.” In Signals and Systems (ICSigSys), 2017 International Conference on, pp. 227-233. IEEE, 2017.
  22. Khalid, Samina, Usman Akram, and Tehmina Khalil. “Hybrid textural feature set based automated diagnosis system for Age Related Macular Degeneration using fundus images.” In Communication, Computing and Digital Systems (C-CODE), International Conference on, pp. 390-395. IEEE, 2017.
  23. Mehmood, Anum, M. Usman Akram, and Anam Tariq. “Vertebra localization and centroid detection from cervical radiographs.” In Communication, Computing and Digital Systems (C-CODE), International Conference on, pp. 287-292. IEEE, 2017.
  24. Asim, Muhammad Adeel, Muhammad Usman Akram, and Anum Abdul Salam. “Comparison of different de-noising techniques for removal of poison noise from cervical X-Rays images.” In Communication, Computing and Digital Systems (C-CODE), International Conference on, pp. 281-286. IEEE, 2017.
  25. Fatima, Ayesha, Usman Akram, Mahmood Akhtar, and Irrum Shafique. “Detection of tuberculosis using hybrid features from chest radiographs.” In Eighth International Conference on Graphic and Image Processing, pp. 102252B-102252B. International Society for Optics and Photonics, 2017.
  26. Asif, Muhammad, Muhammad Usman Akram, Taimur Hassan, Arslan Shaukat, and Razi Waqar. “High resolution OCT image generation using super resolution via sparse representation.” In Eighth International Conference on Graphic and Image Processing, pp. 1022512-1022512. International Society for Optics and Photonics, 2017.
  27. Asif, Muhammad, and Muhammad Usman Akram. “Relative Smoothness for Image Layer Separation by Second Order Laplacian Filter.” In Proceedings of the 5th International Conference on Information and Education Technology, pp. 145-149. ACM, 2017.
  28. Khan, Qadeem, Usman Akram, Wasi Haider Butt, and Saad Rehman. “Implementation and evaluation of optimized algorithm for software architectures analysis through unsupervised learning (clustering).” In Sciences and Techniques of Automatic Control and Computer Engineering (STA), 2016 17th International Conference on, pp. 266-276. IEEE, 2016.
  29. Naz, Samra, Aneeqa Ahmed, Usman Akram, and Shoab A. Khan. “Automated segmentation of RPE layer for the detection of age macular degeneration using OCT images.” In Image Processing Theory Tools and Applications (IPTA), 2016 6th International Conference on, pp. 1-4. IEEE, 2016.
  30. Tehreem, Amna, Sajid Gul Khawaja, Muhammad Usman Akram, and Shoab A. Khan. “A novel mean-shift architecture for scalable multiprocessor implementation.” In Future Technologies Conference (FTC), pp. 1107-1111. IEEE, 2016.
  31. Hameed, Mazhar, Usman Qamar, and Usman Akram. “Business intelligence: Self adapting and prioritizing database algorithm for providing big data insight in domain knowledge and processing of volume based instructions based on scheduled and contextual shifting of data.” In Future Technologies Conference (FTC), pp. 1168-1175. IEEE, 2016.
  32. Khalid, Hiba, Usman Qamar, and Usman Akram. “Imparting data knowledge in discrete data volumes using crowded agent approach for multi-perspective and visualized big data.” In Future Technologies Conference (FTC), pp. 81-88. IEEE, 2016.
  33. Khawaja, Sajid Gul, Muhammad Usman Akram, Shoab A. Khan, and Ammar Ajmal. “A novel multiprocessor architecture for k-means clustering algorithm based on network-on-chip.” In Multi-Topic Conference (INMIC), 2016 19th International, pp. 1-5. IEEE, 2016.
  34. Khan, Albab Ahmad, Usman Akram, Ahmad Tariq, Faraz Tahir, and Kamran Wazir. “Automated Computer Aided Detection of Cataract.” In International Afro-European Conference for Industrial Advancement, pp. 340-349. Springer, Cham, 2016.
  35. Asif, Muhammad, Shoab Ahmed Khan, Taimur Hassan, Usman Akram, and Arslan Shaukat. “Generation of High Resolution Medical Images Using Super Resolution via Sparse Representation.” In International Afro-European Conference for Industrial Advancement, pp. 288-298. Springer, Cham, 2016.
  36. Khawaja, S. G., Asad Mansoor Khan, Usman Akram, and Shoab A. Khan. “A Novel Architecture for k-means Clustering Algorithm.” In International Afro-European Conference for Industrial Advancement, pp. 311-320. Springer, Cham, 2016.
  37. Zaman, Mubashira, Soweba Rahman, Tooba Rafique, Filza Ali, and Muhammad Usman Akram. “Hand Gesture Recognition Using Color Markers.” In International Conference on Hybrid Intelligent Systems, pp. 1-10. Springer, Cham, 2016.
  38. Farooq, Sumaiyya, Shoab Ahmed Khan, and Usman Akram. “1D Signal Processing for Improvement of People Counting Estimation Results.” In International Conference on Hybrid Intelligent Systems, pp. 319-328. Springer, Cham, 2016.
  39. Khawaja, Sajid Gul, Amna Tehreem, Usman Akram, and Shoab Ahmed Khan. “Multicore Framework for Finding Frequent Item-Sets Using TDS.” In International Conference on Hybrid Intelligent Systems, pp. 340-349. Springer, Cham, 2016.
  40. Mehmood, Anum, Usman Akram, Mahmood Akhtar, and Anam Usman. “Separation of Vertebrae Regions from Cervical Radiographs Using Inter-Vertebra Distance and Orientation.” In International Conference on Hybrid Intelligent Systems, pp. 29-37. Springer, Cham, 2016.
  41. Khan, Umair Zafar, Muhammad Usman Akram, Ali Hassan, Arslan Shaukat, Muhammad Kashan Basit, and Abdul Wahid. “Detection of Acoustic Events by using MFCC and Spectro-Temporal Gabor Filterbank Features.” In Proceedings of the 8th International Conference on Signal Processing Systems, pp. 158-164. ACM, 2016.
  42. Basit, M., Arslan Shaukat, Usman Akram, and Umair Zafar Khan. “Unsupervised Neural Network optimized with Sequential Quadratic Programming for Linear and Non-Linear Dynamical Systems.” In Proceedings of the 8th International Conference on Signal Processing Systems, pp. 183-188. ACM, 2016.
  43. Jamil, Uzma, Shehzad Khalid, and Usman Akram. “Digital image preprocessing and hair artifact removal by using Gabor wavelet.” In SoC Design Conference (ISOCC), 2016 International, pp. 215-216. IEEE, 2016.
  44. Noor, Zahra, Muhammad Usman Akram, Mahmood Akhtar, and Muhammad Saad. “Facial Texture Analysis for Recognition of Human Gender.” In International Conference on Knowledge Science, Engineering and Management, pp. 134-145. Springer International Publishing, 2016.
  45. Irshad, Samra, Muhammad Ahmad, Usman Akram, Asad Waqar Malik, and Sarmad Abbas. “Classification of vessels as arteries verses veins using hybrid features for diagnosis of hypertensive retinopathy.” In Imaging Systems and Techniques (IST), 2016 IEEE International Conference on, pp. 472-475. IEEE, 2016.
  46. Yousaf, Kamran, Muhammad Usman Akram, Usman Ali, and Shahzad Amin Sheikh. “Assessment of papilledema using fundus images.” In Imaging Systems and Techniques (IST), 2016 IEEE International Conference on, pp. 476-481. IEEE, 2016.
  47. Ahmed, Masood, Arslan Shaukat, and Usman Akram. “Comparative analysis of texture descriptors for classification.” In Imaging Systems and Techniques (IST), 2016 IEEE International Conference on, pp. 24-29. IEEE, 2016.
  48. Awan, Saqib Ejaz, Sajid Gul Khawaja, Muazzam A. Khan, and M. Usman Akram. “A surrogate channel based analysis of EEG signals for detection of epileptic seizure.” In Imaging Systems and Techniques (IST), 2016 IEEE International Conference on, pp. 384-388. IEEE, 2016.
  49. Shah, Asim Altaf, M. Mohsin Malik, Usman Akram, and Shafaat A. Bazaz. “Comparison of noise removal algorithms on Optical Coherence Tomography (OCT) image.” In Imaging Systems and Techniques (IST), 2016 IEEE International Conference on, pp. 166-170. IEEE, 2016.
  50. Khalid, Samina, Usman Akram, Amina Jameel, and Tehmina Khalil. “Automated Detection of Drusens to Diagnose Age Related Macular Degeneration Using OCT Images.” International Journal of Computer Science and Information Security 14, no. 10 (2016): 1.
  51. Jamil, Uzma, Shehzad Khalid, and Usman Akram. “Dermoscopic feature analysis for melanoma recognition and prevention.” In Innovative Computing Technology (INTECH), 2016 Sixth International Conference on, pp. 290-295. IEEE, 2016.
  52. Jamil, Uzma, Shehzad Khalid, and Usman Akram. “Dermoscopic image enhancement and hair artifact removal using Gabor wavelet.” In Innovative Computing Technology (INTECH), 2016 Sixth International Conference on, pp. 279-284. IEEE, 2016.
  53. Shaukat, Arslan, Hazrat Ali, and Usman Akram. “Automatic Urdu Speech Recognition using Hidden Markov Model.” In Image, Vision and Computing (ICIVC), International Conference on, pp. 135-139. IEEE, 2016.
  54. Ayub, Lubna, Abdul samad Khan, Javeria Ayub, Sara Ayub, Usman Akram, Samra Irshad, and Imran Basit. “Differentiation of blood vessels in retina into arteries and veins using neural network.” In Computing, Electronic and Electrical Engineering (ICE Cube), 2016 International Conference on, pp. 301-306. IEEE, 2016.
  55. Tahir, Madiha, Usman Akram, and Muhammad Arslan Idris. “Online signature verification using segmented local features.” In Computing, Electronic and Electrical Engineering (ICE Cube), 2016 International Conference on, pp. 100-105. IEEE, 2016.
  56. Ayub, Javeria, Jamil Ahmad, Jan Muhammad, Lubna Aziz, Sara Ayub, Usman Akram, and Imran Basit. “Glaucoma detection through optic disc and cup segmentation using K-mean clustering.” In Computing, Electronic and Electrical Engineering (ICE Cube), 2016 International Conference on, pp. 143-147. IEEE, 2016.
  57. Kazmi, Afza, Muazzam A. Khan, and Usman Akram. “DeVANET: decentralized software-defined VANET architecture.” In Cloud Engineering Workshop (IC2EW), 2016 IEEE International Conference on, pp. 42-47. IEEE, 2016.
  58. Aslam, Wajeeha, Muazzam A. Khan, Usman Akram, Nazar Abbas Saqib, and Seungmin Rho. “Energy Efficient Image Compression and Transmission in WSN.” In Emerging Innovations in Wireless Networks and Broadband Technologies, pp. 67-78. IGI Global, 2016.
  59. Akram, M. Usman, Muazzam A. Khan, Madiha Naveed, and Sarah Gul. “Liver Image Analysis using Color and Texture Descriptors.” In The International Conference on Digital Information Processing, Electronics, and Wireless Communications (DIPEWC2016), p. 1. 2016.
  60. Waheed, Zahra, Amna Waheed, and Usman Akram. “A robust non-vascular retina recognition system using structural features of retinal image.” In Applied Sciences and Technology (IBCAST), 2016 13th International Bhurban Conference on, pp. 101-105. IEEE, 2016.
  61. Maruf, Syed Osama, M. Usama Azhar, Sajid Gul Khawaja, and Usman Akram. “Crackle separation and classification from normal Respiratory sounds using Gaussian Mixture Model.” In 2015 IEEE 10th International Conference on Industrial and Information Systems (ICIIS), pp. 267-271. IEEE, 2015.
  62. Muhammad, Amna Pir, Usman Akram, and Muazzam A. Khan. “Survey Based Analysis of Internet of Things Based Architectural Framework for Hospital Management System.” In 2015 13th International Conference on Frontiers of Information Technology (FIT), pp. 271-276. IEEE, 2015.
  63. Mahida Tahir, Usman Akram, “Online signature verification using hybrid features”, International Conference on Information Security and Cyber Forensics (InfoSec2015), South Africa, Nov 2015.
  64. Zahra Waheed, Usman Akram, Amna Waheed, Arslan Shaukat, Robust Extraction of Blood Vessels for Retinal Recognition, International Conference on Information Security and Cyber Forensics (InfoSec2015), South Africa, Nov 2015.
  65. Najam Dar, Usman Akram, Anam Usman, Shoab A Khan, ECG Biometric Identification for General Population Using Multiresolution Analysis of DWT Based Features, International Conference on Information Security and Cyber Forensics (InfoSec2015), South Africa, Nov 2015.
  66. Salam, Anum Abdul, Usman Akram, Kamran Wazir, Syed Muhammad Anwar, and Muhammad Majid. “Autonomous Glaucoma detection from fundus image using cup to disc ratio and hybrid features.” In 2015 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), pp. 370-374. IEEE, 2015.
  67. Salam, Anum Abdul, Usman Akram, Sarmad Abbas, and Syed M. Anwar. “Optic disc localization using local vessel based features and support vector machine.” In Bioinformatics and Bioengineering (BIBE), 2015 IEEE 15th International Conference on, pp. 1-6. IEEE, 2015.
  68. Pir, Amna, Usman Akram, and Muazzam A. Khan. “Internet of things based context awareness architectural framework for HMIS.” In 2015 17th International Conference on E-health Networking, Application & Services (HealthCom), pp. 55-60. IEEE, 2015.
  69. Asra Ashraf, Usman Akram, Shehzad Amin Sheikh, Detection of Retinal Whitening, Cotton Wool Spots and Retinal Hemorrhages for Diagnosis of Malarial Retinopathy, IEEE TENCON 2015, Macau, Nov 2015.
  70. Taimur Hassan, 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
  71. Amna Waheed, Zahra Waheed, Usman Akram, A Robust Algorithm For Segmentation of Blood Vessels in the Presence of Lesions in Retinal Fundus Images, 12th annual International Conference on Imaging Systems and Techniques, China, Sept, 2015
  72. Asra Ashraf, Usman Akram, Shehzad Amin Sheikh, Sarmad Abbas, Detection of Macular Whitening and Retinal Hemorrhages for Diagnosis of Malarial Retinopathy, 12th annual International Conference on Imaging Systems and Techniques, China, Sept, 2015
  73. Anum Abdus Salam, Usman Akram, Kamran Wazir, S. M. Anwar, A Review Analysis on Early Glaucoma Detection Using Structural Features, 12th annual International Conference on Imaging Systems and Techniques, China, Sept, 2015
  74. Khush Naseeb Fatima, Usman Akram, Shafaat A Bazaz, Papilledema Detection in Fundus Images Using Hybrid Feature Set, 5th International Conference on IT Convergence and Security August 24th-27th, 2015, Kuala Lumpur, Malaysia
  75. Najam Dar, Usman Akram, Muazzam A Khan, Arslan Shaukat, ECG Based Biometric Identification For Population With Normal And Cardiac Anomalies Using Hybrid HRV And DWT Features, 5th International Conference on IT Convergence and Security August 24th-27th, 2015, Kuala Lumpur, Malaysia
  76. A Shaukat, M Aziz, U Akram, Facial Expression Recognition Using Multiple Feature Sets, 5th International Conference on IT Convergence and Security August 24th-27th, 2015, Kuala Lumpur, Malaysia
  77. Sadaf Ayaz, Sadaf Saher, 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
  78. Usman Akram, Daniyal Usmani, Tanveer Ahmad, Sarmad Abbas, Syeda Fouzia Noor, “Seamless fundus image stitching using WLD to improve field of view”, IEEE 5th International Conference on Digital Information and Communication Technology and Its Applications (DICTAP 2015), Lebanon, Apr 2015
  79. Faisal, Usman Akram, Faraz, Adnan, “Human identification using dental biometric analysis”, IEEE 5th International Conference on Digital Information and Communication Technology and Its Applications (DICTAP 2015), Lebanon, Apr 2015
  80. Mavera Mazhar Butt, Usman Akram, Shoab A Khan, “Denoising practices for electrocardiographic (ECG) signals: A survey,” in Computer, Communications, and Control Technology (I4CT), 2015 International Conference on , pp.264-268, April 2015
  81. Faisal Rehman, Usman Akram, Naveed Riaz, F. Kunwar, A Sharp Comparison of Biometric Techniques and Dental Biometrics. Proceedings of the 2nd International Conference on Engineering & Emerging Technologies (ICEET), Superior University, Lahore, PK, 26-27 March, 2015.
  82. Saima Shaheen, Aasia Khannum, Shoab A Khan, Usman Akram, M. Younus Javed, “Using MAC frame header for efficient multimedia streaming over IEEE 802.11 wireless LAN,” in Computer, Communications, and Control Technology (I4CT), 2015 International Conference on, pp.570-574, April 2015
  83. Uzma Abbasi, Muhammed Usman Akram, “Classification of Blood Vessels as Arteries and Veins for Diagnosis of Hypertensive Retinopathy”, 10th IEEE International Computer Engineering Conference, Egypt, December 2014.
  84. Aniqa Azam, Usman Akram and Usman Qammar, “Optic Disc Segmentation from Colored Retinal Images using Vessel Density”, 12th International Conference on Frontiers of Information Technology (FIT) , pp. 313-318, Pakistan, Dec 2014.
  85. Adeel Muzaffar Syed, Muhammad Usman Akbar, Usman Akram and Joddat Fatima, ”Automated Laser Mark Segmentation from Colored Retinal Images”, EEE 17th International Multi Topic Conference (INMIC 2014), Pakistan, Dec 2014.
  86. Saima Waseem, Usman Akram, Bilal Ashfaq, “Drusen Detection From Colored Fundus Images for Diagnosis of Age Related Macular Degeneration“, 7th International Conference on Information and Automation for Sustainability, Sri Lanka, Dec 2014.
  87. Saima Waseem, Usman Akram, Bilal Ashfaq, “Drusen Exudate Lesion Discrimination in Colour Fundus Images”, 14th International Conference on Hybrid Intelligent Systems (HIS  2014), pp. 176-180, Kuwait, Dec 2014
  88. Daniyal Usmani, Tanveer Ahmed, Usman Akram, Danyal Saeed, “Fundus Image Mosaic Generation for Large Field of View”, 14th International Conference on Hybrid Intelligent Systems (HIS          2014), pp. 30-34, Kuwait, Dec 2014
  89. Faraz Tahir,Usman Akram, Mujahid Abbass, Albab Ahmad khan, “Laser Marks Detection from Fundus Images”, 14th International Conference on Hybrid Intelligent Systems (HIS  2014), pp. 147-151, Kuwait, Dec 2014
  90. Samra Irshad, Usman Akram, Ubaid ullah Yasin”Automated detection of cotton wool spots for the diagnosis of hypertensive retinopathy”, 7th Cairo International Biomedical Engineering Conference, Egypt, December 2014.
  91. Muniba Saleem, Usman Akram, “Detection of haemorrhages for diagnosis of malarial retinopathy”, 7th Cairo International Biomedical Engineering Conference, Egypt, December 2014.
  92. Samra Irshad, Usman Akram, Salman Ahmed, “System for automatic differentiation of retinal vessels into arteries and veins”, 7th Cairo International Biomedical Engineering Conference, Egypt, December 2014.
  93. Israr ul haq, Usman Akram, Yoshifumi Saijo, “Automated Detection of New Vessels for Classification of Proliferative Diabetic Retinopathy”, Proceedings of the 2nd International Conference on Intelligent Systems and Image Processing, pp.304-308, 2014
  94. F. Gill, S. A. Fatima, A. Nawaz, A. Nasir, M. U. Akram, S. G. Khawaja, S. Ejaz, “Time Domain Analysis of EEG Signals for Detection of Epileptic Seizure”, 2014 IEEE Symposium on Industrial Electronics & Applications (ISIEA2014), Malaysia, Sept 2014.
  95. Sabeen Basit, Shoab A Khan, Usman Akram, “Segmentation of Coronary Arteries”, 2014 IEEE Symposium on Industrial Electronics & Applications (ISIEA2014), Malaysia, Sept 2014.
  96. Usman Akram, Hassan Moatasam Awan, Abdullah Amaan Khan, “Dorsal Hand Veins Based Person Identification”, 4th International Conference on Image Processing Theory, tools and applications, France, Oct 2014.
  97. Sarmad Khitran, Usman Akram, Anam Usman, Ubaidullah Yasin, “Automated System for the Detection of Hypertensive Retinopathy”, 4th International Conference on Image Processing Theory, tools and applications, France, Oct 2014.
  98. Hassan Wahab, Syed Rizwan Haider, Sarmad Khitran, Noor ul Huda, M. Usman Akram, “Bright Region and Vessel Density based Robust Optic Disc Segmentation”, 4th International Conference on Image Processing Theory, tools and applications, France, Oct 2014.
  99. Rashid, M. Usman Akram, S. Khan, “Wireless Sensor Network for Distributed Event Detection based on Machine learning”, 2014 IEEE International Conference on Green Computing and Communications (GreenCom 2014), Taiwan, 2014.
  100. Zaidi, M. Usman Akram, Anam Tariq, “Retinal Image Analysis for Diagnosis of Macular Edema using Digital Fundus Images”, 2013 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT), Jorden, Dec 2013.
  101. Ghazanfer Raza, Majid Rafique, Anam Tariq, Usman Akram, “Hybrid Classifier Based Drusen Detection in Colored Fundus Images”, 2013 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT), Jorden, Dec 2013.
  102. Khawar Ali, Shoab A Khan, Usman Akram, “Aircraft Tracking Based on KLT Feature Tracker and Image Modeling”, 2013 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT), Jorden, Dec 2013.
  103. Usman Akram, Sundus Mujtaba and Anam Tariq, “Automated Drusen Segmentation in Fundus Images for Diagnosing Age Related Macular Degeneration”, 10th IEEE International Conference on Electronics, Computer and Computation, pp. 21-24, Turkey, Nov, 2013.
  104. Usman Akram, Anam Tariq, Shoab Khan and Shafaat Bazaz, “Microaneurysm Detection for Early Diagnosis of Diabetic Retinopathy”, 10th IEEE International Conference on Electronics, Computer and Computation, pp.25-28, Turkey, Nov, 2013.
  105. Joddat Fatima, Adeel M Syed, Usman Akram, “Feature Point Validation for Improved Retina Recognition”, 2013 IEEE Workshop on Biometrics Measurements and Systems for Security and Medical Applications, pp. 13-16, Italy, Sept 2013.
  106. Joddat Fatima, Adeel M Syed, Usman Akram, “A Secure Personal Identification System Based on Human Retina”, 2013 IEEE Symposium on Industrial Electronics and Applications (ISIEA 2013), pp. 90-95, Malaysia, Sept 2013.
  107. Usman Akram, Anam Tariq, Zabeel Bashir, Shoab A Khan, “Gaussian Mixture Model Based Handwritten Numeral Character Recognition”, 2013 IEEE Symposium on Industrial Electronics and Applications (ISIEA 2013), pp. 81-85, Malaysia, Sept 2013.
  108. Usman Akram, Zabeel Bashir, Anam Tariq, Shoab A Khan “Geometric Feature Points Based Optical Character Recognition”, 2013 IEEE Symposium on Industrial Electronics and Applications (ISIEA 2013), pp. 86-89, Malaysia, Sept 2013.
  109. Anam Tariq, Usman Akram, and M. Younus Javed, “Lung Nodule Detection in CT Images using Neuro Fuzzy Classifier”, IEEE Symposium Series on Computational Intelligence (SSCI), pp. 49-53, Singapore, 2013.
  110. Anam Tariq, Usman Akram, and M. Younus Javed, “Computer Aided Diagnostic System for Grading of Diabetic Retinopathy”, IEEE Symposium Series on Computational Intelligence (SSCI), pp. 30-35, Singapore, 2013.
  111. Anam Tariq, Usman Akram, Arslan Shaukat, Shoab A Khan, “A Computer Aided System for Grading of Maculopathy”, 6th Cairo International Conference on Biomedical Engineering, pp. 31-34, Egypt, 2012.
  112. Umer Aftab, Usman Akram, “Automated Identification of Exudates for Detection of Macular Edema”, 6th Cairo International Conference on Biomedical Engineering, pp. 27-30, Egypt, 2012.
  113. Sana Qamber, Zahra Waheed, Usman Akram, “Personal Identification System Based on Vascular Pattern of Human Retina”, 6th Cairo International Conference on Biomedical Engineering, pp.64-67, Egypt, 2012.
  114. Usman Akram, Ibaa jamal, Anam Tariq and Junaid 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.
  115. Anam Tariq, M. A. Anjum, Usman 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.
  116. Usman Akram, Anam Tariq and Shoab 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
  117. Anam Tariq, Usman Akram and Shoab 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
  118. Usman Akram and Anam Usman, “Computer Aided System for Brain Tumor Detection and Segmentation”, IEEE International Conference on Computer Networks and Information Technology (ICCNIT), pp. 299-302, July 2011, Abbottabad, Pakistan
  119. Usman Akram, Anuam Ayaz and Junaid Imtiaz, “Morphological and Gradient Based Fingerprint Image Segmentation”, IEEE ICICT, July 2011, Karachi, Pakistan
  120. Maryam Mubbashar, Anam Usman and Usman Akram, “Automated System for Macula Detection in Digital Retinal Images”, IEEE ICICT, July 2011, Karachi, Pakistan
  121. Usman Akram and Assia 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.
  122. Anam Tariq, M. Usman 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.
  123. Usman Akram and Anam Tariq, “Automated Optic Disk Localization and Detection in Colored Retinal Images”, ACM FIT, Pakistan, Dec 2009.
  124. Usman Akram, Sarwat Nasir, Shoab 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.
  125. Usman Akram, Anam Tariq, Shoab A. Khan, “Retinal Images Blood Vessel Segmentation”, 3rd IEEE International conference on Information and Communication Technologies, pp. 181-186, Pakistan, 15-16 August, 2009.
  126. Usman Akram, Anam Tariq, “Cooperative Friendship Networks through SLAC and Newscast”, 3rd IEEE International conference on Information and Communication Technologies, pp. 31-34, Pakistan, 15-16 August, 2009.
  127. Usman Akram, Ali Atzaz, M. Younus Javed, Umair Ali khan 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.
  128. Usman Akram, Anam Tariq, Sarwat Nasir, Shoab A. Khan, “Gabor Wavelet Based Vessel Segmentation in Retinal Images”, IEEE CIIP, Tennessee, pp. 116-119, USA, 29, April, 09.
  129. Usman Akram, Sarwat Nasir, M. Almas Anjum, M Younus Javed, “Background and Noise Extraction from Colored Retinal Images”, IEEE CSIE, IEEE Computer Society, LosAngeles, pp. 573-577, USA, April, 09.
  130. Usman Akram, Ali Atzaz, Syed Farrukh Aneeque, Shoab A. Khan, “Blood Vessel Enhancement and Segmentation Using Wavelet Transform”, IEEE ICDIP, pp. 30-34, Thailand, March 2009.
  131. Usman Akram, Anam Tariq, Sarwat Nasir, “Retinal Image: noise Segmentation”, IEEE INMIC, pp. 116-119, Pakistan, Dec08.
  132. Sarwat Nasir, Imtiaz khokhar, Usman Akram, “Optimum Filter Overlapping Scheme For Deriving Speaker Dependent Mel Frequency Cepstral Coefficients”, 10th IASTED Conference on Signal and Image Processing (SIP), USA, August08.
  133. Usman Akram, Sarwat Nasir, Anam Tariq, Irfan 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.
  134. Aasia Khanum, Usman Akram, “Fuzzy Based Facial Expression Recognition”, IEEE Congress on Image and Signal Processing(CISP 2008), IEEE Computer Society, pp. 598-602, China, May 2008.
  135. Usman Akram, Anam Tariq, Sarwat Nasir, Aasia 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.
  136. Usman Akram, Anam Tariq, Shahida Jabeen, Shoab 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.
  137. Usman Akram, Sarwat Nasir, Rabia Anwer, Rabia Arshad, Shoab 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.
  138. Usman Akram, Irfan Zafar, Wasim Siddique, Zohaib Mushtaq, “Facial Expression Recognition Based on Fuzzy Logic”, 3rd International Conference on Computer Vision Theory and Applications (VISAPP08), Vol.1, pp. 383-388, Portugal, Jan 2008.
  139. Usman Akram, Assia Khanam, “Optimal Core Point Detection”, 3rd all Pakistan Electrical Engineering Conference (APE2C), Pakistan, Nov. 2007 (Runner-ups Paper Award)