Publications

Found 88 results
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2019
A. Sedghi, Pesteie, M., Javadi, G., Azizi, S., Yan, P., Kwak, J. Tae, Xu, S., Turkbey, B., Choyke, P., Pinto, P., Wood, B., Rohling, R., Abolmaesumi, P., and Mousavi, P., Deep neural maps for unsupervised visualization of high-grade cancer in prostate biopsies., Int J Comput Assist Radiol Surg, 2019.
B. Pyman, Sedghi, A., Azizi, S., Tyryshkin, K., Renwick, N., and Mousavi, P., Exploring microRNA Regulation of Cancer with Context-Aware Deep Cancer Classifier, presented at the 01, 2019.
M. Gasmallah, Zulkernine, F., Rivest, F., Mousavi, P., and Sedghi, A., Fully End-To-End Super-Resolved Bone Age Estimation, in Advances in Artificial Intelligence, Cham, 2019.
L. Conolly, Ungi, T., Lasso, A., Vaughn, T., Asselin, M., Mousavi, P., Yam, S., and Fichtinger, G., Mechanically controlled spectroscopic imaging for tissue classification. 2019.
C. Herz, MacNeil, K., Behringer, P. A., Tokuda, J., Mehrtash, A., Mousavi, P., Kikinis, R., Fennessy, F. M., Tempany, C. M., Tuncali, K., and Fedorov, A., Open Source Platform for Transperineal In-bore MRI-guided Targeted Prostate Biopsy., IEEE Trans Biomed Eng, 2019.
A. Sedghi, Luo, J., Mehrtash, A., Pieper, S., Tempany, C., Kapur, T., Mousavi, P., and Wells, W., Semi-supervised image registration using deep learning, presented at the 03, 2019.
Z. Baum, Chruch, B., Lasso, A., Ungi, T., Schlenger, C., Borschneck, D., Mousavi, P., and Fichtinger, G., Step-wise identification of ultrasound-visible anatomical landmarks for 3D visualization of scoliotic spine. 2019.
S. Jia Li, Barnes, J., Abolmaesumi, P., Loock, H. - P., and Mousavi, P., Temporal enhanced ultrasound and shear wave elastography for tissue classification in cancer interventions: an experimental evaluation. 2019.
A. Sedghi, Hamidi, S., Mehrtash, A., Ziegler, E., Tempany, C., Pieper, S., Kapur, T., and Mousavi, P., Tesseract-medical imaging: open-source browser-based platform for artificial intelligence deployment in medical imaging, presented at the 03, 2019.
B. Chan, Auyeung, J., Rudan, J. F., Mousavi, P., and Kunz, M., Tissue classification using machine learning to aid in intraoperative registration: a pilot study. 2019.
S. Jia Li, Mousavi, P., and White, P. Jason, Ultrasound backscattered tensor imaging of the brain: an ex vivo feasibility study. 2019.
2018
J. Barnes, Li, S., Goyal, A., Abolmaesumi, P., Mousavi, P., and Loock, H. - P., Broadband Vibration Detection in Tissue Phantoms Using a Fiber Fabry-Perot Cavity., IEEE Trans Biomed Eng, vol. 65, no. 4, pp. 921-927, 2018.
A. Sedghi, Luo, J., Mehrtash, A., Pieper, S., Tempany, C., Kapur, T., Mousavi, P., and Wells, W., Deep Information Theoretic Registration. 2018.
E. Mohammad A. Anas, Mousavi, P., and Abolmaesumi, P., A deep learning approach for real time prostate segmentation in freehand ultrasound guided biopsy., Med Image Anal, vol. 48, pp. 107-116, 2018.
S. Azizi, Bayat, S., Yan, P., Tahmasebi, A., Kwak, J. Tae, Xu, S., Turkbey, B., Choyke, P., Pinto, P., Wood, B., Mousavi, P., and Abolmaesumi, P., Deep Recurrent Neural Networks for Prostate Cancer Detection: Analysis of Temporal Enhanced Ultrasound., IEEE Trans Med Imaging, vol. 37, no. 12, pp. 2695-2703, 2018.
S. Bayat, Azizi, S., Daoud, M. I., Nir, G., Imani, F., Gerardo, C. D., Yan, P., Tahmasebi, A., Vignon, F., Sojoudi, S., Wilson, S., Iczkowski, K. A., M Lucia, S., Goldenberg, L., Salcudean, S. E., Abolmaesumi, P., and Mousavi, P., Investigation of Physical Phenomena Underlying Temporal-Enhanced Ultrasound as a New Diagnostic Imaging Technique: Theory and Simulations., IEEE Trans Ultrason Ferroelectr Freq Control, vol. 65, no. 3, pp. 400-410, 2018.
L. Nahlawi, Goncalves, C., Imani, F., Gaed, M., Gomez, J. A., Moussa, M., Gibson, E., Fenster, A., Ward, A., Abolmaesumi, P., Shatkay, H., and Mousavi, P., Stochastic Modeling of Temporal Enhanced Ultrasound: Impact of Temporal Properties on Prostate Cancer Characterization., IEEE Trans Biomed Eng, vol. 65, no. 8, pp. 1798-1809, 2018.
N. Zobeiry, Bayat, S., Anas, E., Mousavi, P., Abolmaesumi, P., and Poursartip, A., Temporal Enhanced Ultrasound as a Novel NDT Technique for Characterization of Defects in Composites, presented at the 11, 2018.
S. Azizi, Van Woudenberg, N., Sojoudi, S., Li, M., Xu, S., Anas, E., Yan, P., Tahmasebi, A., Kwak, J. Tae, Turkbey, B., Choyke, P., Pinto, P., Wood, B., Mousavi, P., and Abolmaesumi, P., Toward a real-time system for temporal enhanced ultrasound-guided prostate biopsy, International Journal of Computer Assisted Radiology and Surgery, vol. 13, 2018.
2017
A. Mehrtash, Sedghi, A., Ghafoorian, M., Taghipour, M., Tempany, C. M., Wells, W. M., Kapur, T., Mousavi, P., Abolmaesumi, P., and Fedorov, A., Classification of Clinical Significance of MRI Prostate Findings Using 3D Convolutional Neural Networks., Proc SPIE Int Soc Opt Eng, vol. 10134, 2017.
E. Mohammad A. Anas, Nouranian, S., S Mahdavi, S., Spadinger, I., Morris, W. J., Salcudean, S. E., Mousavi, P., and Abolmaesumi, P., Clinical Target-Volume Delineation in Prostate Brachytherapy Using Residual Neural Networks, in International Conference on Medical Image Computing and Computer-Assisted Intervention, 2017.
D. Behnami, Sedghi, A., Anas, E. Mohammad A., Rasoulian, A., Seitel, A., Lessoway, V., Ungi, T., Yen, D., Osborn, J., Mousavi, P., and , Model-based registration of preprocedure MR and intraprocedure US of the lumbar spine, International journal of computer assisted radiology and surgery, vol. 12, pp. 973–982, 2017.
D. Behnami, Sedghi, A., Anas, E. Mohammad A., Rasoulian, A., Seitel, A., Lessoway, V., Ungi, T., Yen, D., Osborn, J., Mousavi, P., Rohling, R., and Abolmaesumi, P., Model-based registration of preprocedure MR and intraprocedure US of the lumbar spine., Int J Comput Assist Radiol Surg, vol. 12, no. 6, pp. 973-982, 2017.
S. Mostafa Mostafavi, Scott, S., Dukelow, S., and Mousavi, P., Reduction of Assessment Time for Stroke-Related Impairments Using Robotic Evaluation, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 25, pp. 945–955, 2017.
S. Azizi, Mousavi, P., Yan, P., Tahmasebi, A., Kwak, J. Tae, Xu, S., Turkbey, B., Choyke, P., Pinto, P., Wood, B., and , Transfer learning from RF to B-mode temporal enhanced ultrasound features for prostate cancer detection, International journal of computer assisted radiology and surgery, vol. 12, pp. 1111–1121, 2017.

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