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. Ahmad, Muhammad Waqas, Muhammad Usman Akram, Rashid Ahmad, Khurram Hameed, and 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). [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. Sirshar, Mehreen, Taimur Hassan, Muhammad Usman Akram, and Shoab Ahmed Khan. "An Incremental Learning Approach to Automatically Recognize Pulmonary Diseases from 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). [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). [Impact Factor: 3.697]
  38. Dar, M.N., M. U. Akram, S.G. Khawaja, and A.N. Pujari. "CNN and LSTM-Based Emotion Charting Using Physiological Signals." Sensors (2020). [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). [Impact Factor: 1.375]
  40. Stanke, L., Kubicek, J., Vilimek, D., Penhaker, M., Cerny, M., Augustynek, M., Slaninova, N., and M. U. Akram. "Towards Optimal Wavelet Denoising Scheme—A Novel Spatial and Volumetric Mapping of Wavelet-Based Biomedical Data Smoothing." Sensors (2020). [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 a hybrid feature 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., Muhammad U. Akram, 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. Hassan, Taimur, 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." IEEE Access (2018). [Impact Factor: 3.557]
  55. Muhammad Usman Akram, 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, Muhammad 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, M. 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, M. 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. Akbar, Shahzad, 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." Computer Methods and Programs in Biomedicine 154 (2018): 123-141. [Impact Factor: 2.5]
  62. Khalid, Samina, 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, Muhammad Usman Akram, Samina Khalid, and Amina Jameel. "Improved automated detection of glaucoma from fundus image using hybrid structural and textural features." IET Image Processing 11, no. 9 (2017): 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. Khalid, Samina, Muhammad 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. Fatima, Khush Naseeb, Taimur Hassan, Muhammad 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 (2017): 1005-1024. [Impact Factor: 3.34]
  69. Khawaja, Sajid Gul, Muhammad 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, Muhammad 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, Muhammad 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, Muhammad 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, Muhammad 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, Muhammad 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, Muhammad 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. Shaheen, Saima, Muhammad Usman Akram, Aasia Khannum, Shoab A. Khan, and 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 Muhammad 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. Hassan, Taimur, Muhammad Usman Akram, Shafaat A. Bazaz, et al. "Automated segmentation of sub-retinal layers for the detection of macular edema." Applied Optics 55, no. 3 (2016): 454-461. [Impact Factor: 1.784]
  79. Muhammad Usman Akram, Anam Tariq, Shehzad Khalid, Sarmad Abbas, M. Younus Javed, and Ubaid Ullah Yasin. "Glaucoma Detection using Novel Optic Disc Localization, Hybrid Feature Set and Classification Techniques." Australasian Physical and Engineering Sciences in Medicine 38, no. 4 (2015): 643-655. [Impact Factor: 0.888]
  80. Waheed, Amna, Muhammad Usman Akram, Shehzad Khalid, Zahra Waheed, Muazzam A. Khan, and Arslan Shaukat. "Hybrid Features and Mediods Classification based Robust Segmentation of Blood Vessels." Journal of Medical Systems 39, no. 10 (2015). [Impact Factor: 2.213]
  81. Akram, Sheeraz, Muhammad Younus Javed, Muhammad Usman Akram, Usman Qamar, and Ali Hassan. "Pulmonary Nodules Detection and Classification Using Hybrid Features from Computerized Tomographic Images." J. Med. Imaging Health Info. 6, no. 1 (2016): 1-8. [Impact Factor: 0.503]
  82. Waheed, Amna, Zahra Waheed, Muhammad Usman Akram, and 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. Shaheen, Saima, Aasia Khannum, M. Usman Akram, Shoab A. Khan, SangHyun Seo, and M. Younas Javed. "Evaluating the Significance of Error Checksums for Wireless Video Streaming." Multimedia Tools and Applications, Accepted. [Impact Factor: 1.346]
  84. Shaheen, Saima, M. Younas Javed, Muid Mufti, Shehzad Khalid, Aasia Khanum, Shoab A. Khan, and M. 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. Khawaja, Sajid Gul, Mian Hamza Mushtaq, Shoab A. Khan, M. Usman Akram, and 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, S., M. Y. Javed, A. Hussain, F. Riaz, and 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. Khalid, Shehzad, M. Usman Akram, and 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. Butt, Wasi Haider, M. Usman Akram, Shoab A. Khan, and M. Younas 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. Akram, M. Usman, Anam Tariq, Shoab A. Khan, and M. Younas Javed. "Automated Detection of Exudates and Macula for Grading of Diabetic Macular Edema." Computer Methods and Programs in Biomedicine, Volume 114, Issue 2, pp. 141–152, April 2014. [Impact Factor: 1.555]
  90. Akram, M. Usman, Shehzad Khalid, Anam Tariq, Shoab A. Khan, and Farooque Azam. "Detection and Classification of Retinal Lesions for Grading of Diabetic Retinopathy." Computers in Biology and Medicine, Volume 45, Issue 1, pp. 161–171, February 2014. [Impact Factor: 1.162]
  91. Akram, M. Usman, Shehzad Khalid, Anam Tariq, and M. Younas 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. Tariq, Anam, M. Usman Akram, Arslan Shaukat, and 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. Akram, M. Usman, Shehzad Khalid, and Shoab A. Khan. "Identification and Classification of Microaneurysms for Early Detection of Diabetic Retinopathy." Pattern Recognition (Elsevier), Vol. 46, No.1, pp. 107-116, 2013. [Impact Factor: 2.63]
  94. Akram, M. Usman, 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. Akram, M. Usman, Anam Tariq, M. Almas Anjum, and M. Younas Javed. "Automated Detection of Exudates in Colored Retinal Images for Diagnosis of Diabetic Retinopathy." OSA Journal of Applied Optics, Vol. 51, No. 20, pp. 4858-4866, 2012. [Impact Factor: 1.748]
  96. Akram, M. Usman, 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, pp. 3151-3162, 2012. [Impact Factor: 1.783]

Non ISI 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. A. 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 & M. 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 M. Usman Akram. "Congestion analysis of pilgrims in Hajj and Umrah congregation using block matching and optical flow." 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 Mosaic to 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 Hypertension Using 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, M. 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, S. A. Khan. "WML: Wireless Sensor Network based Machine Learning for Leakage Detection and Size Estimation." Procedia Computer Science, 2015.
  14. Faraz Tahir, M. 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, M. 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, Vol. 52, pp 283-284 (2014).
  18. Safia Shabbir, Anam Tariq, and M. 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 M. 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. M. 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. M. 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.
  23. M. 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, May 2008.