Md Tauhidul Islam
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  • Master's projects

  • Publications

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  • Journal articles:

    14. Islam, M.T. and Righetti, R. “An analytical poroelastic model of a spherical tumor embedded in normal tissue under creep compression”, 2019, Accepted in Journal of Biomechanics.

    13. Islam, M.T., Chaudhry, A. and Righetti, R. “A robust method to estimate the time constant of elastographic parameters”, 2018, Accepted in IEEE Transactions on Medical Imaging.

    12. Tang S., Sabonghy E., Islam M.T., Shajudeen P. S., Chaudhry, A., Tasciotti E. and Righetti, R. “Assessment of the long bone inter-fragmentary gap size in ultrasound strain elastograms”, 2018, In press, Physics in Medicine & Biology.

    11. Islam, M.T., Chaudhry, A. and Righetti, R. “An analysis of the error associated to single and double exponential approximations of theoretical poroelastic models” 2018. In press, Ultrasonic Imaging.

    10. Islam, M.T., Reddy, J.N. and Righetti, R., 2018. A model-based approach to investigate the effect of elevated interstitial fluid pressure on strain elastography. Physics in Medicine & Biology, 63(21), p.215011.

    9. Islam, M.T. and Righetti, R., 2018. A novel filter for accurate estimation of fluid pressure and fluid velocity using poroelastography. Computers in biology and medicine, 101, pp.90-99. [PDF]

    8. Tang S., Chaudhry A., Shajudeen P. S., Islam M.T., Kim N., Cabrera F. J., Reddy J. N., Tasciotti E. and Righetti, R. “A model-based approach to investigate the effect of a long bone fracture on ultrasound strain elastography” 2018. Accepted in IEEE Transactions on Medical Imaging. [PDF]

    7. Islam, M.T., Reddy, J.N. and Righetti, R. “An analytical poroelastic model of a non-homogeneous medium under creep compression for ultrasound poroelastography applications - Part II” 2018. In press, Journal of Biomechanical Engineering. [PDF]

    6. Islam, M.T., Reddy, J.N. and Righetti, R. “An analytical poroelastic model of a non-homogeneous medium under creep compression for ultrasound poroelastography applications - Part I” 2018. In press, in Journal of Biomechanical Engineering. [PDF]

    5. Islam, M.T., Chaudhry, A., Unnikrishnan, G., Reddy, J.N. and Righetti, R., 2018. An analytical model of tumors with higher permeability than surrounding tissues for ultrasound elastography imaging. Journal of Engineering and Science in Medical Diagnostics and Therapy, 1(3), p.031006. [PDF]

    4. Islam, M.T., Chaudhry, A., Tang, S., Tasciotti, E. and Righetti, R., 2018. A new method for estimating the effective Poisson’s ratio in ultrasound poroelastography. IEEE Transactions on Medical Imaging. [PDF]

    3. Islam, M.T., Chaudhry, A., Unnikrishnan, G., Reddy, J.N. and Righetti, R., 2018. An analytical poroelastic model for ultrasound elastography imaging of tumors. Physics in Medicine & Biology, 63(2), p.025031. [PDF]

    2. Islam, M.T., Shahnaz, C., Zhu, W.P. and Ahmad, M.O., 2017. Rayleigh modeling of teager energy operated perceptual wavelet packet coefficients for enhancing noisy speech. Speech Communication, 86, pp.64-74. [PDF]

    1. Islam, M.T., Shahnaz, C., Zhu, W.P. and Ahmad, M.O., 2015. Speech enhancement based on student t modeling of teager energy operated perceptual wavelet packet coefficients and a custom thresholding function. IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), 23(11), pp.1800-1811. [PDF]

    Journal articles under review:

    9. Islam, M.T. and Righetti, R.,“A spline interpolation based data reconstruction technique for estimation of strain time constant in ultrasound poroelastography”, 2019, under review in Physics in Medicine & Biology.

    8. Islam, M.T. and Righetti, R. “Investigation of the effects of interstitial fluid pressure and solid stress on shear and principal strains in poroelastography using finite element simulations”, 2019, under review in Ultrasonic Imaging.

    7. Islam, M.T. and Righetti, R. “A novel finite element model to assess the effect of solid stress inside tumors on elastographic normal strains and fluid pressure”, 2018, under review in Physics in Medicine & Biology.

    6. Islam, M.T., Tasciotti, E. and Righetti, R. “Non-invasive imaging of solid stress in cancers in vivo”, 2018, under review in IEEE Journal of Translational Engineering in Health and Medicine.

    5. Islam, M.T. and Righetti, R.,“Estimation of mechanical parameters in cancers by empirical orthogonal function analysis of poroelastography data”, 2018, under review in IEEE Transactions on Medical Imaging.

    4. Islam, M.T., Tasciotti, E. and Righetti, R. “Estimation of vascular permeability in irregularly shaped cancers using ultrasound poroelastography”, 2018, under review in Medical Image Analysis

    3. Islam, M.T. and Righetti, R. “A new poroelastography method to assess the solid stress distribution in cancers” 2018, under review in IEEE Transactions on Medical Imaging.

    2. Islam, M.T., Tang, S., Tasciotti, E. and Righetti, R. “Non-invasive imaging of Young’s modulus and Poisson’s ratio in cancers in vivo”, 2018, under review in Nature Biomedical Engineering. [PDF]

    1. Islam, M.T. and Righetti, R.,“Non-invasive assessment of the spatial and temporal distributions of mechanopathological parameters in cancers in vivo”, under review in IEEE Transactions on Medical Imaging. [PDF]

    Conference papers:

    5. Islam, M.T., M. N. Shaan, E. J. Easha, A. T. Minhaz, C. Shahnaz and S. A. Fattah, ”Enhancement of noisy speech based on decision-directed Wiener approach in perceptual wavelet packet domain,” TENCON 2017 - 2017 IEEE Region 10 Conference, Penang, 2017, pp. 2666-2671. doi: 10.1109/TENCON.2017.8228313.

    4. Islam, M.T., Chao, J., Ward, S. and Ober, R.,“Deconvolution of fluorescence microscopy images using a readout noise-aware expectation-maximization algorithm”, Accepted abstract in SPIE Photonic West, 2017.

    3. Islam, M.T., Shahnaz, C. and Fattah, S.A., 2014, August. Speech enhancement based on a modified spectral subtraction method. In Circuits and Systems (MWSCAS), 2014 IEEE 57th International Midwest Symposium on (pp. 1085-1088). IEEE.

    2. M. T. Islam, A. B. Hussain, K. T. Shahid, U. Saha and C. Shahnaz, ”Speech enhancement based on noise compensated magnitude spectrum,” 2014 International Conference on Informatics, Electronics Vision (ICIEV), Dhaka, 2014, pp. 1-5. doi: 10.1109/ICIEV.2014.6850798.

    1. Islam, M.T. and Shahnaz, C., 2014, April. Speech enhancement based on noise-compensated phase spectrum. In Electrical Engineering and Information Communication Technology (ICEEICT), 2014 International Conference on (pp. 1-5). IEEE.

    Non-refereed publications:

    7. Islam, M.T.,Saha, U., Shahid, K.T., Hussain, A.B. and Shahnaz, C., 2018. Speech Enhancement Based on Non-stationary Noise-driven Geometric Spectral Subtraction and Phase Spectrum Compensation. arXiv preprint arXiv:1803.02870. [PDF] [Matlab Code]

    6. Islam, M.T. and Shahnaz, C., 2018. Enhancement of Noisy Speech exploiting a Gaussian Modeling based Threshold and a PDF Dependent Thresholding Function. arXiv preprint arXiv:1803.01841.

    5. Islam, M.T., Shahnaz, C., Zhu, W.P. and Ahmad, M.O., 2018. Enhancement of Noisy Speech with Low Speech Distortion Based on Probabilistic Geometric Spectral Subtraction. arXiv preprint arXiv:1802.05125. [PDF] [Matlab Code]

    4. Islam, M.T., Shahnaz, C., Zhu, W.P. and Ahmad, M.O., 2018. Modeling of Teager Energy Operated Perceptual Wavelet Packet Coefficients with an Erlang-2 PDF for Real Time Enhancement of Noisy Speech. arXiv preprint arXiv:1802.03472.

    3. Islam, M.T., Shahnaz, C., Zhu, W.P. and Ahmad, M.O., 2018. A Divide and Conquer Strategy for Musical Noise-free Speech Enhancement in Adverse Environments. arXiv preprint arXiv:1802.02665. [PDF] [Matlab Code]

    2. Islam, M.T., Shahnaz, C., Zhu, W.P. and Ahmad, M.O., 2018. Enhancement of Noisy Speech Exploiting an Exponential Model Based Threshold and a Custom Thresholding Function in Perceptual Wavelet Packet Domain. arXiv preprint arXiv:1802.05962.

    1. Islam, M.T., Asaduzzaman, Shahnaz, C., Zhu, W.P. and Ahmad, M.O., 2018. Speech Enhancement in Adverse Environments Based on Non-stationary Noise-driven Spectral Subtraction and SNR-dependent Phase Compensation. arXiv preprint arXiv:1803.00396. [PDF] [Matlab Code]