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]