Publications

[1] M. J. Gangeh, H. R. Tizhoosh, K. Wu, D. Huang, H. Tadayyon, and G. J. Czarnota, “Tumour Ellipsification in Ultrasound Images for Treatment Prediction in Breast Cancer,” in 2017 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI) , 2017, pp. 41-44.

[2] H. Tadayyon, L. Sannachi, M. J. Gangeh, C. Kim, S. Ghandi, M. Trudeau, K. Pritchard, W. T. Tran, E. Slodkowska, A. Sadeghi-Naini, et al., “A priori Prediction of Neoadjuvant Chemotherapy Response and Survival in Breast Cancer Patients using Quantitative Ultrasound.,” Sci. Rep., vol. 7, p. 45733, 2017.

[3] M. J. Gangeh, B. Fung, H. Tadayyon, W. T. Tran, and G. J. Czarnota, “Response monitoring using quantitative ultrasound methods and supervised dictionary learning in locally advanced breast cancer,” in SPIE Medical Imaging, 2016, p. 978413.

[4] M. J. Gangeh, A. Raheem, H. Tadayyon, S. Liu, F. Hadizad, and G. J. Czarnota, “Breast tumour visualization using 3D quantitative ultrasound methods,” in SPIE Medical Imaging, 2016, p. 979007.

[5] H. Tadayyon, L. Sannachi, M. Gangeh, A. Sadeghi-Naini, W. Tran, M. E. Trudeau, K. Pritchard, S. Ghandi, S. Verma, and G. J. Czarnota, “Quantitative ultrasound assessment of breast tumor response to chemotherapy using a multi-parameter approach,” Oncotarget, vol. 7, no. 29, p. 45094, 2016.

[6] W. T. Tran, L. Sannachi, N. Papanicolau, H. Tadayyon, A. Al Mahrouki, A. El Kaffas, A. Gorjizadeh, J. Lee, and G. J. Czarnota, “Quantitative ultrasound imaging of therapy response in bladder cancer in vivo,” Oncoscience, vol. 3, no. 3-4, p. 122, 2016.

[7] A. Sadeghi-Naini, M. Stanisz, H. Tadayyon, J. Taank, and G. J. Czarnota, “Low-frequency ultrasound radiosensitization and therapy response monitoring of tumors: An in vivo study,” in 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016, pp. 3227-3230.

[8] M. J. Gangeh, H. Tadayyon, L. Sannachi, A. Sadeghi-Naini, W. T. Tran, and G. J. Czarnota, “Computer aided theragnosis using quantitative ultrasound spectroscopy and maximum mean discrepancy in locally advanced breast cancer,” IEEE Trans. Med. Imaging, vol. 35, no. 3, pp. 778-790, 2016.

[9] H. R. Tizhoosh, M. Gangeh, H. Tadayyon, and G. J. Czarnota, “Tumour roi estimation in ultrasound images via radon barcodes in patients with locally advanced breast cancer,” in Biomedical Imaging (ISBI), 2016 IEEE 13th International Symposium on, 2016, pp. 1185-1189.

[10] W. T. Tran, C. Childs, L. Chin, E. Slodkowska, L. Sannachi, H. Tadayyon, E. Watkins, S. L. Wong, B. Curpen, A. El Kaffas, et al., “Multiparametric monitoring of chemotherapy treatment response in locally advanced breast cancer using quantitative ultrasound and diffuse optical spectroscopy,” Oncotarget, vol. 7, no. 15, p. 19762, 2016.

[11] G. J. Czarnota, A. Sadeghi-Naini, H. Tadayyon, L. Sannachi, M. Gangeh, W. Tran, F. Wright, S. Gandhi, K. Pritchard, S. Verma, et al., “Abstract CT317: Quantitative ultrasound for personalized chemotherapy in locally advanced breast cancer: Clinical trial results.” American Association for Cancer Research, 2015.

[12] M. J. Gangeh, H. Tadayyon, L. Sannachi, A. Sadeghi-Naini, and G. J. Czarnota, “Quantitative ultrasound spectroscopy and a kernel-based metric in clinical cancer response monitoring,” in Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on, 2015, pp. 255-259.

[13] L. Sannachi, H. Tadayyon, A. Sadeghi-Naini, W. Tran, S. Gandhi, F. Wright, M. Oelze, and G. Czarnota, “Non-invasive evaluation of breast cancer response to chemotherapy using quantitative ultrasonic backscatter parameters,” Med. Image Anal., vol. 20, no. 1, pp. 224-236, 2015.

[14] H. Tadayyon, “Quantitative Ultrasound Characterization and Monitoring of Locally Advanced Breast Cancer,” University of Toronto, 2015.

[15] H. Tadayyon, L. Sannachi, A. Sadeghi-Naini, A. Al-Mahrouki, W. T. Tran, M. C. Kolios, and G. J. Czarnota, “Quantification of Ultrasonic Scattering Properties of In Vivo Tumor Cell Death in Mouse Models of Breast Cancer,” Transl. Oncol., vol. 8, no. 6, pp. 463-473, 2015.

[16] A. Sadeghi-Naini, H. Tadayyon, G. J. Czarnota, and O. Falou, “System and method for classifying and characterizing tissues using first-order and second-order statistics of quantitative ultrasound parametric maps.” 2014.

[17] M. J. Gangeh, A. Sadeghi-Naini, M. Diu, H. Tadayyon, M. S. Kamel, and G. J. Czarnota, “Categorizing Extent of Tumor Cell Death Response to Cancer Therapy Using Quantitative Ultrasound Spectroscopy and Maximum Mean Discrepancy,” IEEE Trans. Med. Imaging, vol. 33, no. 6, pp. 1390-1400, 2014.

[18] L. Sannachi, H. Tadayyon, A. Sadeghi-Naini, M. C. Kolios, and G. Czarnota, “Personalization of breast cancer chemotherapy using noninvasive imaging methods to detect tumor cell death responses,” Breast Cancer, vol. 3, no. 1, pp. 31-35, 2014.

[19] H. Tadayyon, L. Sannachi, and G. J. Czarnota, “Quantitative ultrasound monitoring of breast tumor response to chemotherapy by analysis of frequency-dependent attenuation and backscattered power,” in SPIE Medical Imaging, 2014, p. 904009.

[20] H. Tadayyon, A. Sadeghi-Naini, and G. J. Czarnota, “Noninvasive characterization of locally advanced breast cancer using textural analysis of quantitative ultrasound parametric images,” Transl. Oncol., vol. 7, no. 6, pp. 759-767, 2014.

[21] H. Tadayyon, A. Sadeghi-Naini, L. Sannachi, and G. Czarnota, “Quantitative ultrasound assessment of tumor responses to chemotherapy using a time-integrated multi-parameter approach,” J. Acoust. Soc. Am., vol. 136, no. 4, p. 2123, 2014.

[22] H. Tadayyon, A. Sadeghi-Naini, L. Wirtzfeld, F. C. Wright, and G. Czarnota, “Quantitative ultrasound characterization of locally advanced breast cancer by estimation of its scatterer properties,” Med. Phys., vol. 41, no. 1, 2014.

[23] A. Sadeghi-Naini, O. Falou, H. Tadayyon, A. Al-Mahrouki, W. Tran, N. Papanicolau, M. C. Kolios, and G. J. Czarnota, “Transl Oncol (vol 6, pg 234, 2013),” Transl. Oncol., vol. 6, no. 6, p. 68, 2013.

[24] A. Sadeghi-Naini, O. Falou, H. Tadayyon, A. Al-Mahrouki, W. Tran, N. Papanicolau, M. C. Kolios, and G. J. Czarnota, “Conventional frequency ultrasonic biomarkers of cancer treatment response in vivo,” Transl. Oncol., vol. 6, no. 3, pp. 234IN2-243, 2013.

[25] A. Sadeghi-Naini, N. Papanicolau, O. Falou, H. Tadayyon, J. Lee, J. Zubovits, A. Sadeghian, R. Karshafian, A. Al-Mahrouki, A. Giles, et al., “Low-frequency quantitative ultrasound imaging of cell death in vivo,” Med. Phys., vol. 40, no. 8, 2013.

[26] L. Sannachi, H. Tadayyon, A. Sadeghi-Naini, O. Falou, Z. Jahedmotlagh, M. L. Oelze, and G. J. Czarnota, “Evaluation of tumor cell death response in locally-advanced breast cancer patients to chemotherapy treatment by scattering property estimates using ultrasound backscatter,” in Proceedings of Meetings on Acoustics ICA2013, 2013, vol. 19, no. 1, p. 75087.

[27] N. Samavati, R. Vlad, H. Tadayyon, J. Moseley, S. Iradji, G. Czarnota, and K. K. Brock, “TH-C-217BCD-04: 3D Ultrasound Reconstruction from Freehand Scans Using an Optical Tracking System,” Med. Phys., vol. 39, no. 6, p. 4004, 2012.

[28] R. Vlad, N. Samavati, J. Moseley, H. Tadayyon, S. Iradji, G. Stanisz, G. Czarnota, and K. Brock, “WE-C-BRA-03: Best in Physics (Joint Imaging-Therapy)-Registration of Magnetic Resonance, Reconstructed 3D Ultrasound Imaging and Whole-Mount Breast Pathology for Therapy Assessment of Breast Cancer,” Med. Phys., vol. 39, no. 6, p. 3947, 2012.

[29] H. Tadayyon, A. Lasso, A. Kaushal, P. Guion, and G. Fichtinger, “Target motion tracking in MRI-guided transrectal robotic prostate biopsy,” IEEE Trans. Biomed. Eng., vol. 58, no. 11, pp. 3135-3142, 2011.

[30] G. Fichtinger, A. Lasso, S. Vikal, H. Tadayyon, and S. Gill, “MR-Guided Prostate Motion Tracking by Means of Multi-Slice-to-Volume Rigid Registration,” 2010.

[31] H. Tadayyon, “MRI-Guided Prostate Motion Tracking using Multislice-to-Volume Registration,” 2010.

[32] H. Tadayyon, A. Lasso, S. Gill, A. Kaushal, P. Guion, and G. Fichtinger, “Target motion compensation in MRI-guided prostate biopsy with static images,” in Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE, 2010, pp. 5416-5419.

[33] H. Tadayyon, S. Vikal, S. Gill, A. Lasso, and G. Fichtinger, “MRI-guided prostate motion tracking by means of multislice-to-volume registration,” in SPIE Medical Imaging, 2010, p. 76252V