Anas M. Tahir

@ubc.ca

Department of Electrical and Computer Engineering
The University of British Columbia

Anas M. Tahir


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https://researchid.co/anastahir

RESEARCH INTERESTS

Signal and Image Processing, Machine Learning, Pattern Recognition, Data Mining
3709

Scholar Citations

23

Scholar h-index

29

Scholar i10-index

RECENT SCHOLAR PUBLICATIONS

  • Rapid wall shear stress prediction for aortic aneurysms using deep learning: a fast alternative to CFD
    MAA Faisal, O Mutlu, S Mahmud, A Tahir, MEH Chowdhury, F Bensaali, ...
    Medical & Biological Engineering & Computing, 1-18 , 2025
    2025
    Citations: 13
  • Explainable machine learning for assessing upper respiratory tract of racehorses from endoscopy videos
    AM Tahir, L Guo, RK Ward, X Yu, A Rideout, M Hore, ZJ Wang
    Computers in Biology and Medicine 181, 109030 , 2024
    2024
    Citations: 2
  • Automatic Medical Report Generation: Methods and Applications
    L Guo, AM Tahir, D Zhang, ZJ Wang, RK Ward
    APSIPA Transactions on Signal and Information Processing 13 (1) , 2024
    2024
    Citations: 23
  • Wearable wrist to finger photoplethysmogram translation through restoration using super operational neural networks based 1D-CycleGAN for enhancing cardiovascular monitoring
    S Mahmud, MEH Chowdhury, S Kiranyaz, MI Tapotee, P Saha, AM Tahir, ...
    Expert Systems with Applications 246, 123167 , 2024
    2024
    Citations: 19
  • TB-CXRNet: Tuberculosis and Drug-Resistant Tuberculosis Detection Technique Using Chest X-ray Images
    T Rahman, A Khandakar, A Rahman, SM Zughaier, M Al Maslamani, ...
    Cognitive Computation, 1-20 , 2024
    2024
    Citations: 42
  • Restoration of motion-corrupted EEG signals using attention-guided operational CycleGAN
    S Mahmud, MEH Chowdhury, S Kiranyaz, N Al Emadi, AM Tahir, ...
    Engineering Applications of Artificial Intelligence 128, 107514 , 2024
    2024
    Citations: 29
  • Electrocardiography restoration by operational cycle-generative adversarial networks
    S Kiranyaz, OC Devecioglu, I Turker, J Malik, M Chowdhury, A Khandakar, ...
    US Patent App. 18/119,659 , 2023
    2023
  • Signer-Independent Arabic Sign Language Recognition System Using Deep Learning Model
    KK Podder, M Ezeddin, MEH Chowdhury, MSI Sumon, AM Tahir, ...
    Sensors 23 (16), 7156 , 2023
    2023
    Citations: 68
  • Latest Developments in Adapting Deep Learning for Assessing TAVR Procedures and Outcomes
    AM Tahir, O Mutlu, F Bensaali, R Ward, AN Ghareeb, SMHA Helmy, ...
    Journal of Clinical Medicine 12 (14), 4774 , 2023
    2023
    Citations: 13
  • Self-Attention MHDNet: A Novel Deep Learning Model for the Detection of R-Peaks in the Electrocardiogram Signals Corrupted with Magnetohydrodynamic Effect
    MH Chowdhury, MEH Chowdhury, MS Khan, MA Ullah, S Mahmud, ...
    Bioengineering 10 (5), 542 , 2023
    2023
    Citations: 12
  • Brain Tumor Segmentation and Classification from Sensor-Based Portable Microwave Brain Imaging System Using Lightweight Deep Learning Models
    A Hossain, MT Islam, T Rahman, MEH Chowdhury, A Tahir, S Kiranyaz, ...
    Biosensors 13 (3), 302 , 2023
    2023
    Citations: 60
  • PPG2ABP: Translating Photoplethysmogram (PPG) Signals to Arterial Blood Pressure (ABP) Waveforms
    N Ibtehaz, S Mahmud, MEH Chowdhury, A Khandakar, M Salman Khan, ...
    Bioengineering 9 (11), 692 , 2022
    2022
    Citations: 197
  • Blind ECG Restoration by Operational Cycle-GANs
    S Kiranyaz, OC Devecioglu, T Ince, J Malik, MEH Chowdhury, T Hamid, ...
    IEEE Transactions on Biomedical Engineering , 2022
    2022
    Citations: 69
  • QUCoughScope: An Intelligent Application to Detect COVID-19 Patients Using Cough and Breath Sounds
    T Rahman, N Ibtehaz, A Khandakar, MSA Hossain, YMS Mekki, ...
    Diagnostics 12 (4), 920 , 2022
    2022
    Citations: 72
  • Robust Peak Detection for Holter ECGs by Self-Organized Operational Neural Networks
    M Gabbouj, S Kiranyaz, J Malik, MU Zahid, T Ince, MEH Chowdhury, ...
    IEEE Transactions on Neural Networks and Learning Systems , 2022
    2022
    Citations: 71
  • Thermal Change Index-Based Diabetic Foot Thermogram Image Classification Using Machine Learning Techniques
    A Khandakar, MEH Chowdhury, MBI Reaz, SHM Ali, TO Abbas, T Alam, ...
    Sensors 22 (5), 1793 , 2022
    2022
    Citations: 62
  • Robust biometric system using session invariant multimodal EEG and keystroke dynamics by the ensemble of self-ONNs
    A Rahman, MEH Chowdhury, A Khandakar, AM Tahir, N Ibtehaz, ...
    Computers in Biology and Medicine, 105238 , 2022
    2022
    Citations: 42
  • Deep learning for reliable classification of COVID-19, MERS, and SARS from chest X-ray images
    AM Tahir, Y Qiblawey, A Khandakar, T Rahman, U Khurshid, ...
    Cognitive Computation, 1-21 , 2022
    2022
    Citations: 108
  • A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals
    S Mahmud, N Ibtehaz, A Khandakar, AM Tahir, T Rahman, KR Islam, ...
    Sensors 22 (3), 919 , 2022
    2022
    Citations: 97
  • Bangla Sign Language (BdSL) Alphabets and Numerals Classification Using a Deep Learning Model
    KK Podder, MEH Chowdhury, AM Tahir, ZB Mahbub, A Khandakar, ...
    Sensors 22 (2), 574 , 2022
    2022
    Citations: 91

MOST CITED SCHOLAR PUBLICATIONS

  • Exploring the Effect of Image Enhancement Techniques on COVID-19 Detection using Chest X-rays Images
    T Rahman, A Khandakar, Y Qiblawey, A Tahir, S Kiranyaz, SBA Kashem, ...
    Computers in Biology and Medicine, 104319 , 2021
    2021
    Citations: 1403
  • COVID-19 infection localization and severity grading from chest X-ray images
    AM Tahir, MEH Chowdhury, A Khandakar, T Rahman, Y Qiblawey, ...
    Computers in biology and medicine 139, 105002 , 2021
    2021
    Citations: 259
  • Real-Time Smart-Digital Stethoscope System for Heart Diseases Monitoring
    MEH Chowdhury, A Khandakar, K Alzoubi, S Mansoor, A M Tahir, ...
    Sensors 19 (12), 2781 , 2019
    2019
    Citations: 206
  • PPG2ABP: Translating Photoplethysmogram (PPG) Signals to Arterial Blood Pressure (ABP) Waveforms
    N Ibtehaz, S Mahmud, MEH Chowdhury, A Khandakar, M Salman Khan, ...
    Bioengineering 9 (11), 692 , 2022
    2022
    Citations: 197
  • Smart and Secure Wireless Communications via Reflecting Intelligent Surfaces: A Short Survey
    A Almohamad, AM Tahir, A Al-Kababji, HM Furqan, T Khattab, MO Hasna, ...
    IEEE Open Journal of the Communications Society , 2020
    2020
    Citations: 176
  • Detection and severity classification of COVID-19 in CT images using deep learning
    Y Qiblawey, A Tahir, MEH Chowdhury, A Khandakar, S Kiranyaz, ...
    Diagnostics 11 (5), 893 , 2021
    2021
    Citations: 152
  • A systematic approach to the design and characterization of a smart insole for detecting vertical ground reaction force (vGRF) in gait analysis
    AM Tahir, MEH Chowdhury, A Khandakar, S Al-Hamouz, M Abdalla, ...
    Sensors 20 (4), 957 , 2020
    2020
    Citations: 150
  • Robust R-Peak Detection in Low-Quality Holter ECGs using 1D Convolutional Neural Network
    MU Zahid, S Kiranyaz, T Ince, OC Devecioglu, MEH Chowdhury, ...
    IEEE Transactions on Biomedical Engineering , 2021
    2021
    Citations: 121
  • Deep learning for reliable classification of COVID-19, MERS, and SARS from chest X-ray images
    AM Tahir, Y Qiblawey, A Khandakar, T Rahman, U Khurshid, ...
    Cognitive Computation, 1-21 , 2022
    2022
    Citations: 108
  • A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals
    S Mahmud, N Ibtehaz, A Khandakar, AM Tahir, T Rahman, KR Islam, ...
    Sensors 22 (3), 919 , 2022
    2022
    Citations: 97
  • Bangla Sign Language (BdSL) Alphabets and Numerals Classification Using a Deep Learning Model
    KK Podder, MEH Chowdhury, AM Tahir, ZB Mahbub, A Khandakar, ...
    Sensors 22 (2), 574 , 2022
    2022
    Citations: 91
  • EDITH: ECG biometrics aided by Deep learning for reliable Individual auTHentication
    N Ibtehaz, MEH Chowdhury, A Khandakar, S Kiranyaz, MS Rahman, ...
    IEEE Transactions on Emerging Topics in Computational Intelligence , 2021
    2021
    Citations: 77
  • QUCoughScope: An Intelligent Application to Detect COVID-19 Patients Using Cough and Breath Sounds
    T Rahman, N Ibtehaz, A Khandakar, MSA Hossain, YMS Mekki, ...
    Diagnostics 12 (4), 920 , 2022
    2022
    Citations: 72
  • Robust Peak Detection for Holter ECGs by Self-Organized Operational Neural Networks
    M Gabbouj, S Kiranyaz, J Malik, MU Zahid, T Ince, MEH Chowdhury, ...
    IEEE Transactions on Neural Networks and Learning Systems , 2022
    2022
    Citations: 71
  • Blind ECG Restoration by Operational Cycle-GANs
    S Kiranyaz, OC Devecioglu, T Ince, J Malik, MEH Chowdhury, T Hamid, ...
    IEEE Transactions on Biomedical Engineering , 2022
    2022
    Citations: 69
  • Signer-Independent Arabic Sign Language Recognition System Using Deep Learning Model
    KK Podder, M Ezeddin, MEH Chowdhury, MSI Sumon, AM Tahir, ...
    Sensors 23 (16), 7156 , 2023
    2023
    Citations: 68
  • Thermal Change Index-Based Diabetic Foot Thermogram Image Classification Using Machine Learning Techniques
    A Khandakar, MEH Chowdhury, MBI Reaz, SHM Ali, TO Abbas, T Alam, ...
    Sensors 22 (5), 1793 , 2022
    2022
    Citations: 62
  • Brain Tumor Segmentation and Classification from Sensor-Based Portable Microwave Brain Imaging System Using Lightweight Deep Learning Models
    A Hossain, MT Islam, T Rahman, MEH Chowdhury, A Tahir, S Kiranyaz, ...
    Biosensors 13 (3), 302 , 2023
    2023
    Citations: 60
  • COVID-QU-Ex
    AM Tahir, MEH Chowdhury, Y Qiblawey, A Khandakar, T Rahman, ...
    Kaggle , 2021
    2021
    Citations: 49
  • TB-CXRNet: Tuberculosis and Drug-Resistant Tuberculosis Detection Technique Using Chest X-ray Images
    T Rahman, A Khandakar, A Rahman, SM Zughaier, M Al Maslamani, ...
    Cognitive Computation, 1-20 , 2024
    2024
    Citations: 42