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Computer Science

D-Index
41
Citations
5520
World Ranking
8967
National Ranking
11

Overview

M. Usman Akram is affiliated with the National University of Sciences and Technology in Pakistan. Their research primarily spans the fields of Medicine and Computer Science, with an emphasis on subfields including Radiology, Nuclear Medicine and Imaging, Ophthalmology, Artificial Intelligence, Computer Vision and Pattern Recognition, and Biomedical Engineering.

The scientist's work concentrates on several main topics, notably Retinal Imaging and Analysis, Retinal Diseases and Treatments, EEG and Brain-Computer Interfaces, COVID-19 diagnosis using AI, Glaucoma and retinal disorders, Medical Imaging and Analysis, and Retinal and Optic Conditions.

Recent publications by M. Usman Akram include the following papers:

  • Survey of explainable artificial intelligence techniques for biomedical imaging with deep neural networks, 2023, Computers in Biology and Medicine
  • CNN and LSTM-Based Emotion Charting Using Physiological Signals, 2020, Sensors
  • Localization and Edge-Based Segmentation of Lumbar Spine Vertebrae to Identify the Deformities Using Deep Learning Models, 2022, Sensors
  • Smart and Automated Infrastructure Management: A Deep Learning Approach for Crack Detection in Bridge Images, 2023, Sustainability
  • RAG-FW: A Hybrid Convolutional Framework for the Automated Extraction of Retinal Lesions and Lesion-Influenced Grading of Human Retinal Pathology, 2020, IEEE Journal of Biomedical and Health Informatics

M. Usman Akram has collaborated frequently with several coauthors, including Taimur Hassan, Sajid Gul Khawaja, Norah Saleh Alghamdi, Arslan Shaukat, and Naoufel Werghi.

They have published extensively in venues such as IEEE Access, Data in Brief, Sensors, Computers in Biology and Medicine, and Biomedical Signal Processing and Control.

Best Publications

  • Identification and classification of microaneurysms for early detection of diabetic retinopathy

    M. Usman Akram;Shehzad Khalid;Shoab A. Khan

  • Detection and classification of retinal lesions for grading of diabetic retinopathy

    M. Usman Akram;Shehzad Khalid;Anam Tariq;Shoab A. Khan

  • Multilayered thresholding-based blood vessel segmentation for screening of diabetic retinopathy

    M. Usman Akram;Shoab Ahmad Khan

  • Automated detection of exudates and macula for grading of diabetic macular edema

    M. Usman Akram;Anam Tariq;Shoab A. Khan;M. Younus Javed

  • Computer aided system for brain tumor detection and segmentation

    M. Usman Akram;Anam Usman

  • Automated detection of glaucoma using structural and non structural features.

    Anum A. Salam;Tehmina Khalil;M. Usman Akram;Amina Jameel

  • Deep Convolution Neural Network for Big Data Medical Image Classification

    Rehan Ashraf;Muhammad Asif Habib;Muhammad Akram;Muhammad Ahsan Latif

  • Automated detection of exudates in colored retinal images for diagnosis of diabetic retinopathy

    M. Usman Akram;Anam Tariq;M. Almas Anjum;M. Younus Javed

  • Detection of neovascularization in retinal images using multivariate m-Mediods based classifier

    M. Usman Akram;Shehzad Khalid;Anam Tariq;M. Younus Javed

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

    Bilal Hassan;Gulistan Raja;Taimur Hassan;M Usman Akram

  • Automated detection and grading of diabetic maculopathy in digital retinal images.

    Anam Tariq;M. Usman Akram;Arslan Shaukat;Shoab Ahmad Khan

  • Lung nodule detection in CT images using neuro fuzzy classifier

    Anam Tariq;M. Usman Akram;M. Younus Javed

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

    Adeel M. Syed;Taimur Hassan;M. Usman Akram;Samra Naz

  • Retinal Image Preprocessing: Background and Noise Segmentation

    Ibaa Jamal;M. Usman Akram;Anam Tariq

  • Glaucoma detection using novel optic disc localization, hybrid feature set and classification techniques

    M. Usman Akram;Anam Tariq;Shehzad Khalid;M. Younus Javed

  • An automated system for colored retinal image background and noise segmentation

    Anam Tariq;M. Usman Akram

  • Detection of Glaucoma Using Cup to Disc Ratio From Spectral Domain Optical Coherence Tomography Images

    Tehmina Khalil;M. Usman Akram;Hina Raja;Amina Jameel

  • Automated segmentation of subretinal layers for the detection of macular edema.

    Taimur Hassan;M. Usman Akram;Bilal Hassan;Adeel M. Syed

  • Automated techniques for blood vessels segmentation through fundus retinal images: A review.

    Shahzad Akbar;Muhammad Sharif;Muhammad Usman Akram;Tanzila Saba

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

    Samina Khalid;M. Usman Akram;Taimur Hassan;Ammara Nasim

  • Blood Vessel Enhancement and Segmentation Using Wavelet Transform

    M. Usman Akram;Ali Atzaz;S. Farrukh Aneeque;Shoab A. Khan

Frequent Co-Authors

Shehzad Khalid
Shehzad Khalid Bahria University
Awais Ahmad
Awais Ahmad University of Milan
Sohail Jabbar
Sohail Jabbar Manchester Metropolitan University

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