Publications

Found 194 results
Author Title Type [ Year(Asc)]
2019
J. Luo, Frisken, S., Popuri, K., Cobzas, D., Zhang, M., Preiswerk, F., Sedghi, A., Toews, M., Golby, A., Sugiyama, M., and Wells, M., On the Applicability of Registration Uncertainty, Medical Image Computing and Computer Assisted Intervention (MICCAI). 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.
S. Jia Li, Barnes, J. A., Abolmaesumi, P., Mousavi, P., and Loock, H. - P., Micro-vibrations underlying temporal enhanced ultrasound: The effect of scatterer size and elasticity, Journal of Applied Physics, vol. 125, p. 164502, 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.
B. Chan, Sedghi, A., Laird, P., Maslove, D., and Mousavi, P., Prediction of Patient-specific Acute Hypotensive Episodes in ICU Using Deep Models, The IEEE International Engineering in Medicine and Biology Conference 2019. 2019.
B. Chan, Sedghi, A., Laird, P., Maslove, D., and Mousavi, P., Predictive Modeling using Intensive Care Unit Data: Considerations for Data Pre-processing and Analysis, The IEEE International Engineering in Medicine and Biology Conference. 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
A. Rajaram, Azizi, S., Bayat, S., Anas, E. M. A., Mohamed, T., Walus, K., Abolmaesumi, P., and Mousavi, P., 3D PI-Rads Biophantoms for Ultrasound Imaging: Bioprinting and Image Analysis, SPIE Medical Imaging 2018: Image- Guided Procedures, Robotic Interventions, and Modeling. p. 105761T, 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.
J. Luo, Toews, M., Machado, I., Frisken, S., Zhang, M., Preiswerk, F., Sedghi, A., Ding, H., Pieper, S., Golland, P., Golby, A., Sugiyama, M., and III, W. M. Wells, A Feature-Driven Active Framework for Ultrasound-Based Brain Shift Compensation, in Medical Image Computing and Computer Assisted Intervention – MICCAI 2018, Cham, 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.
S. Azizi, Yan, P., Tahmasebi, A., Pinto, P., Wood, B., Kwak, J. T., Xu, S., Turkbey, B., Choyke, P., Mousavi, P., and Abolmaesumi, P., Learning from Noisy Label Statistics: Detecting High Grade Prostate Cancer in Ultrasound Guided Biopsy, Medical Image Computing and Computer Assisted Intervention (MICCAI). pp. 21-9, 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.

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