{"id":10,"date":"2025-08-15T13:43:38","date_gmt":"2025-08-15T17:43:38","guid":{"rendered":"https:\/\/coefs.charlotte.edu\/smoham30\/?page_id=10"},"modified":"2026-02-20T17:37:19","modified_gmt":"2026-02-20T22:37:19","slug":"publications","status":"publish","type":"page","link":"https:\/\/coefs.charlotte.edu\/smoham30\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"\n

Peer-Reviewed Journal Publications<\/strong><\/h2>\n\n\n\n
    \n
  1. Q. Zeng, S. Mohammed<\/strong>, T. Aleef, M. Honarvar, C. Schneider, E. Pang, J. Jago, A. Ramji, E. Yoshida, R. Rohling, and S. Salcudean, \u201cValidation of Volumetric Multi-Frequency Shear Wave Vibro-Elastography with Matrix Array Transducer for the in vivo Liver.\u201d IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2024 [Impact Factor: 3.63].<\/li>\n\n\n\n
  2. S. Mohammed<\/strong>, P. Kozlowski, S. Salcudean, \u201c Phase-Regularized and Displacement-Regularized Compressed Sensing for Fast Magnetic Resonance Elastography\u201d, NMR in Biomedicine, 36.7 (2023) [Impact Factor: 4.478].<\/li>\n\n\n\n
  3. T. Aleef, I. Spadinger, S. Mohammed<\/strong>, S. Salcudean, S. Mahdavi, W. Morris, and M. Peacock. \u201c PO63: Optimizing Prostate Cancer Treatment in Men with Advanced Local Disease (OPTiMAL) Study: Initial Multi-Modal Imaging Results.\u201d Brachytherapy, 22.5 (2023): S99-S100 [Impact Factor: 1.9].<\/li>\n\n\n\n
  4. T Aleef, J. Lobo, A. Baghani, S. Mohammed<\/strong>, H. Eskandari, H. Moradi, R. Rohling, S. Goldenberg, W. Morris, S. Mahdavi, S. Salcudean, \u201c Multi-Frequency 3D Shear Wave Absolute Vibro-Elastography (S-WAVE) System for the Prostate\u201d IEEE Transactions on Medical Imaging (2023): Early Access [Impact Factor: 11.037].<\/li>\n\n\n\n
  5. H. Hashemi, S. Mohammed<\/strong>, Q. Zeng, R. Zahiri, R. Rohling, and S. Salcudean,\u201c 3D Ultrafast Shear Wave Absolute Vibro-Elastography using a Matrix Array Transducer\u201d, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 70.9 (2023) [Impact Factor: 3.27].<\/li>\n\n\n\n
  6. T. Aleef, Q. Zeng, H. Moradi, S. Mohammed<\/strong>, T. Curran, M. Honarvar, R. Rohling, S. Mahdavi, and S. Salcudean,\u201c 3D Transducer Mounted Shear Wave Absolute Vibro-Elastography: Proof of Concept\u201d, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control (2023): Early Access [Impact Factor: 3.27].<\/li>\n\n\n\n
  7. S. Mohammed<\/strong>, M. Honarvar, Q. Zeng, H. Hashemi, R. Rohling, P. Kozlowski, and S. Salcudean,\u201c Model-Based Quantitative Elasticity Reconstruction Using ADMM\u201d, IEEE Transaction on Medical Imaging 41.11 (2022): 3039-3052 [Impact Factor: 11.037].<\/li>\n\n\n\n
  8. F. Deeba, C. Schneider, S. Mohammed<\/strong>, M. Honarvar, J. Lobo, E. Tam, S. Salcudean, R. Rohling,\u201c A Multiparametric Volumetric Quantitative Ultrasound Imaging Technique for Soft Tissue Characterization\u201d, Medical Image Analysis 74 (2021): 102245 [Impact Factor: 13.83].<\/li>\n\n\n\n
  9. K. Rahman, S. Mohammed<\/strong>, S. Vedaei, M. Mohebbian, F. Chafjiri, and K. Wahid. \u201cA low complexity lossless Bayer CFA image compression.\u201d Signal, Image and Video Processing 15.8 (2021): 1767-1775 [Impact Factor: 1.583].<\/li>\n\n\n\n
  10. Q. Zeng, M. Honarvar, C. Schneider, S. Mohammed<\/strong>, J. Lobo, E. Pang, K. Lau, C. Hu, J. Jago, S. Erb, R. Rohling and S. Salcudean,\u201c Three-Dimensional Multi-Frequency Shear Wave Absolute Vibro-Elastography (3D S-WAVE) with A Matrix Array Transducer: Implementation and Preliminary In Vivo Study of the Liver\u201d, IEEE Transactions on Medical Imaging 40.2 (2020): 648-660 [Impact Factor: 11.037].<\/li>\n\n\n\n
  11. S. Mohammed<\/strong>, and K. Wahid, \u201cLossless and reversible colour space transformation for Bayer colour filter array images\u201d, IET Image Processing 2.8 (2018): 1485-1490 [Impact Factor: 2.373].<\/li>\n\n\n\n
  12. F. Deeba, S. Mohammed<\/strong>, F. Bui, and K. Wahid. \u201cA saliency-based unsupervised method for angiectasia detection in endoscopic video frames.\u201d Journal of Medical and Biological Engineering 38.2 (2018): 325-335 [Impact Factor: 2.213].<\/li>\n\n\n\n
  13. A. Abdelaal, M. Sakr, A. Avinash, S. Mohammed<\/strong>, S. Fels, and S. Salcudean, \u201cPlay Me Back: A Unified Training Platform for Robotic and Laparoscopic Surgery,\u201d IEEE Robotics and Automation Letters 4.2 (2018): 554-561 [Impact Factor: 3.741].<\/li>\n\n\n\n
  14. F. Deeba, S. Mohammed<\/strong>, F. Bui, K. Wahid, \u201cEfficacy Evaluation of SAVE for the Diagnosis of Superficial Neoplastic Lesion.\u201d, IEEE Journal of Translational Engineering in Health and Medicine 5 (2017): 1-12 [Impact Factor: 3.316].<\/li>\n\n\n\n
  15. J. Montgomery, J. Bracamonte, M. Alam, A. Khan, S. Mohammed<\/strong>, and K. Wahid, \u201cIs there an application for wireless capsule endoscopy in horses?\u201d, The Canadian Veterinary Journal 58.12 (2017) [Impact Factor: 0.9].<\/li>\n\n\n\n
  16. M. Alam, M. Hasan, S. Mohammed<\/strong>, F. Deeba, and K. Wahid, \u201cAre current advances of compression algorithms for capsule endoscopy enough? A technical review.\u201d, IEEE Reviews in Biomedical Engineering, 10 (2017) [Impact Factor: 17.20].<\/li>\n\n\n\n
  17. S. Mohammed<\/strong>, K. Rahman, and K. Wahid, \u201cLossless Compression in Bayer Color Filter Array for Capsule Endoscopy\u201d, IEEE Access 5 (2017): 13823-13834 [Impact Factor: 3.367].<\/li>\n\n\n\n
  18. M. Imtiaz, S. Mohammed<\/strong>, F. Deeba, and K. Wahid, \u201cTri-Scan: A Three Stage Color Enhancement Tool For Endoscopic Images.\u201d Journal of Medical Systems, 41 (2017) [Impact Factor: 3.5].<\/li>\n\n\n\n
  19. R. Shrestha, S. Mohammed<\/strong>, M. Hasan, X. Zhang and K. Wahid, \u201cAutomated Adaptive Brightness in Wireless Capsule Endoscopy System Using Image Segmentation and Sigmoid Function,\u201d IEEE Transactions on Biomedical Circuits and Systems 10.4 (2016): 884-892 [Impact Factor: 4.538].<\/li>\n\n\n\n
  20. T. Khan, S. Mohammed<\/strong>, M. Imtiaz and K. Wahid, \u201cEfficient Color Reproduction Algorithm for Endoscopic Images Based on Dynamic Color Map,\u201d Journal of Medical and Biological Engineering 36.2 (2016): 226-235 [Impact Factor: 2.213].<\/li>\n\n\n\n
  21. T. Khan, S. Mohammed<\/strong>, M. Imtiaz and K. Wahid, \u201cColor Reproduction and Processing Algorithm Based on Real-time Mapping for Endoscopic Images,\u201d SpringerPlus 5.1 (2016): 1-17 [Impact Factor: 1.846].<\/li>\n<\/ol>\n\n\n\n

    CONFERENCE PRESENTATION<\/strong><\/h2>\n\n\n\n

    <\/p>\n\n\n\n

      \n
    1. S. Mohammed<\/strong>, S. Nandy, and L. Hariri, \u201cIn vivo microscopic elastography using endobronchial optical coherence elastography for idiopathic pulmonary fibrosis: phantom validation and preliminary investigation\u201d, Endoscopic Mircoscopy XX, SPIE 2025.<\/li>\n\n\n\n
    2. H. Hashemi, S. Mohammed<\/strong>, R. Azar, R. Rohling, and S. Salcudean, \u201cReal-time 3D ultrafast shear wave absolute vibro-elastography.\u201d Medical Imaging 2023: Ultrasonic Imaging and Tomography, SPIE 2023.<\/li>\n\n\n\n
    3. Q. Zeng, S. Mohammed<\/strong>, E. Pang, C. Schneider, M. Honarvar, J. Lobo, C. Hu, J. Jago, G. Ng, R. Rohling, and S. Salcudean, \u201cLearning-based US-MR Liver Image Registration with Spatial Priors.\u201d International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022.<\/li>\n\n\n\n
    4. Q. Zeng, S. Mohammed<\/strong>, T. Aleef, E. Peng, C. Hu, J. Jago, R. Rohling, and S. Salcudean, \u201cMultifrequency Liver Shear Wave Absolute Vibro-Elastography with an xMATRIX Array – 2D vs. 3D Comparison Study.\u201d IEEE International Ultrasonics Symposium (IUS), 2022.<\/li>\n\n\n\n
    5. T. Aleef, Q. Zeng, H. Moradi, S. Mohammed<\/strong>, T. Currant, M. Honarvar, R. Rohling, S. Mahdavi, and S. Salcudean, \u201c 3d shear wave absolute vibro-elastography system for targeted prostate biopsy: Initial results.\u201d IEEE International Ultrasonics Symposium (IUS), 2022.<\/li>\n\n\n\n
    6. S. Mohammed<\/strong>, M. Honarvar, D. Karimi, P. Kozlowski, and S. Salcudean, \u201cJoint Elasticity Reconstruction and Displacement Filtering for 3D Magnetic Resonance Elastography.\u201d International Society for Magnetic Resonance in Medicine 2020 Annual Meeting & Exhibition (ISMRM), 2020.<\/li>\n\n\n\n
    7. S. Mohammed<\/strong>, P. Kozlowski, and S. Salcudean, \u201cAnatomy Guided Total Variation for Elasticity Reconstruction with Bi-Convex Alternating Direction Method of Multipliers.\u201d 1 7th International Tissue Elasticity Conference, 2020.<\/li>\n\n\n\n
    8. M. Honarvar, S. Mohammed<\/strong>, Q. Zeng, C. Schneider, R. Rohling, P. Kozlowski, and S. Salcudean, \u201cShielded Electromagnetic Transducer for Liver Magnetic Resonance Elastography.\u201d International Society for Magnetic Resonance in Medicine 2020 Annual Meeting & Exhibition (ISMRM), 2020.<\/li>\n\n\n\n
    9. Q. Zeng, D. Karimi, E. Pang, S. Mohammed<\/strong>, C. Schneider, M. Honarvar, and S. Salcudean. \u201cLiver segmentation in magnetic resonance imaging via mean shape fitting with fully convolutional neural networks.\u201d International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019.<\/li>\n\n\n\n
    10. F. Deeba, C. Schneider, S. Mohammed<\/strong>, M. Honarvar, E. Tam, S. Salcudean, and R. Rohling, \u201cSWTV-ACE: spatially weighted regularization based attenuation coefficient estimation method for hepatic steatosis detection.\u201d International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019.<\/li>\n\n\n\n
    11. S. Mohammed<\/strong>, M. Honarvar, P. Kozlowski and S. Salcudean, \u201c2D Elasticity Reconstruction using Bi-convex ADMM,\u201d International Symposium on Biomedical Imaging (ISBI), 2019.<\/li>\n\n\n\n
    12. Q. Zeng, M. Honarvar, J. Lobo, C. Schneider,S. Mohammed<\/strong>, G. Harrison, C. Hu, S. Dianis, J. Jago, R. Rohling, and S. Salcudean, , \u201cIn-vivo validation of 3D multi-frequency liver shear wave absolute vibro-elastography with an xMATRIX array.\u201d IEEE International Ultrasonics Symposium (IUS) 2019.<\/li>\n\n\n\n
    13. F. Deeba, S. Mohammed<\/strong>, C. Schneider, M. Honarvar, E. Tam, R. Rohling, and S. Salcudean, \u201c3D ACE: Attenuation Coefficient Estimation in 3D for the Detection of Hepatic Steatosis.\u201d Hepatology 2018.<\/li>\n\n\n\n
    14. R. Hasan, S. Mohammed<\/strong>, A. Khan, and K. Wahid \u201dA color frame reproduction technique for IoT-based video surveillance application.\u201d IEEE International Symposium on Circuits and Systems (ISCAS) 2017.<\/li>\n\n\n\n
    15. S. Mohammed<\/strong>, F. Deeba, F. Bui and K. Wahid, \u201cFeature Selection Using Modified Ant Colony Optimization for Wireless Capsule Endoscopy,\u201d Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), 2016.<\/li>\n\n\n\n
    16. S. Mohammed<\/strong>, F. Deeba, F. Bui and K. Wahid, \u201cApplication of Modified Ant Colony Optimization for Computer Aided Bleeding Detection System,\u201d International Joint Conference on Neural Networks (IJCNN), 2016.<\/li>\n\n\n\n
    17. F. Deeba, S. Mohammed<\/strong>, F. Bui and K. Wahid, \u201cAn Empirical Study on the Effect of Imbalanced Data on Bleeding Detection in Endoscopic Video,\u201d IEEE 38th Annual International Conference of the Engineering in Medicine and Biology Society (EMBS), 2016.<\/li>\n\n\n\n
    18. F. Deeba, S. Mohammed<\/strong>, F. Bui, and K. Wahid, \u201dA saliency-based unsupervised method for angioectasia detection in capsule endoscopic images.\u201d, The Canadian Medical and Biological Engineering Society, 2016.<\/li>\n\n\n\n
    19. F. Deeba, S. Mohammed<\/strong>, F. Bui, and K. Wahid, \u201dLearning from imbalanced data: A comprehensive comparison of classifier performance for bleeding detection in endoscopic video.\u201d International Conference on Informatics, Electronics and Vision (ICIEV) 2016.<\/li>\n\n\n\n
    20. F. Deeba, S. Mohammed<\/strong>, and M. Islam, \u201cA complete analytical model for square diaphragm capacitive sensor with clamped edge.\u201d IEEE International Conference on Nano\/Micro Engineered and Molecular Systems (2013).<\/li>\n<\/ol>\n\n\n\n
        <\/ul>\n","protected":false},"excerpt":{"rendered":"

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