Noninvasive Characterization of Locally Advanced Breast Cancer Using Textural Analysis of Quantitative Ultrasound Parametric Images

od Tadayyon, Hadi, Sadeghi-Naini, Ali, Czarnota, Gregory J.
Izdano u Transl Oncol (2014)

Characterizing intra-tumor regions on quantitative ultrasound parametric images to predict breast cancer response to chemotherapy at pre-treatment

od Taleghamar, Hamidreza, Moghadas-Dastjerdi, Hadi, Czarnota, Gregory J., Sadeghi-Naini, Ali
Izdano u Sci Rep (2021)

Ultrasound Elastography of the Prostate Using an Unconstrained Modulus Reconstruction Technique: A Pilot Clinical Study

od Mousavi, Seyed Reza, Rivaz, Hassan, Czarnota, Gregory J., Samani, Abbas, Sadeghi-Naini, Ali
Izdano u Transl Oncol (2017)

Quantitative Ultrasound Characterization of Tumor Cell Death: Ultrasound-Stimulated Microbubbles for Radiation Enhancement

od Kim, Hyunjung Christina, Al-Mahrouki, Azza, Gorjizadeh, Alborz, Sadeghi-Naini, Ali, Karshafian, Raffi, Czarnota, Gregory J.
Izdano 2014

A priori prediction of tumour response to neoadjuvant chemotherapy in breast cancer patients using quantitative CT and machine learning

od Moghadas-Dastjerdi, Hadi, Sha-E-Tallat, Hira Rahman, Sannachi, Lakshmanan, Sadeghi-Naini, Ali, Czarnota, Gregory J.
Izdano u Sci Rep (2020)

Quantification of Ultrasonic Scattering Properties of In Vivo Tumor Cell Death in Mouse Models of Breast Cancer()

od Tadayyon, Hadi, Sannachi, Lakshmanan, Sadeghi-Naini, Ali, Al-Mahrouki, Azza, Tran, William T., Kolios, Michael C., Czarnota, Gregory J.
Izdano u Transl Oncol (2015)

Conventional Frequency Ultrasonic Biomarkers of Cancer Treatment Response In Vivo

od Sadeghi-Naini, Ali, Falou, Omar, Tadayyon, Hadi, Al-Mahrouki, Azza, Tran, William, Papanicolau, Naum, Kolios, Michael C, Czarnota, Gregory J
Izdano 2013

High-frequency ultrasound detection of cell death: Spectral differentiation of different forms of cell death in vitro

od Pasternak, Maurice M., Sadeghi-Naini, Ali, Ranieri, Shawn M., Giles, Anoja, Oelze, Michael L., Kolios, Michael C., Czarnota, Gregory J.
Izdano u Oncoscience (2016)

Breast-Lesion Characterization using Textural Features of Quantitative Ultrasound Parametric Maps

od Sadeghi-Naini, Ali, Suraweera, Harini, Tran, William Tyler, Hadizad, Farnoosh, Bruni, Giancarlo, Rastegar, Rashin Fallah, Curpen, Belinda, Czarnota, Gregory J.
Izdano u Sci Rep (2017)

Quantitative evaluation of cell death response in vitro and in vivo using conventional-frequency ultrasound

od Sadeghi-Naini, Ali, Zhou, Stephanie, Gangeh, Mehrdad J., Jahedmotlagh, Zahra, Falou, Omar, Ranieri, Shawn, Azrif, Muhammad, Giles, Anoja, Czarnota, Gregory J.
Izdano u Oncoscience (2015)

An Automated Segmentation Pipeline for Intratumoural Regions in Animal Xenografts Using Machine Learning and Saturation Transfer MRI

od Lam, Wilfred W., Oakden, Wendy, Karami, Elham, Koletar, Margaret M., Murray, Leedan, Liu, Stanley K., Sadeghi-Naini, Ali, Stanisz, Greg J.
Izdano u Sci Rep (2020)

Quantitative ultrasound assessment of breast tumor response to chemotherapy using a multi-parameter approach

od Tadayyon, Hadi, Sannachi, Lakshmanan, Gangeh, Mehrdad, Sadeghi-Naini, Ali, Tran, William, Trudeau, Maureen E., Pritchard, Kathleen, Ghandi, Sonal, Verma, Sunil, Czarnota, Gregory J.
Izdano u Oncotarget (2016)

Correction: Quantitative ultrasound assessment of breast tumor response to chemotherapy using a multi-parameter approach

od Tadayyon, Hadi, Sannachi, Lakshmanan, Gangeh, Mehrdad, Sadeghi-Naini, Ali, Tran, William, Trudeau, Maureen E., Pritchard, Kathleen, Ghandi, Sonal, Verma, Sunil, Czarnota, Gregory J.
Izdano u Oncotarget (2017)

Chemotherapy-Response Monitoring of Breast Cancer Patients Using Quantitative Ultrasound-Based Intra-Tumour Heterogeneities

od Sadeghi-Naini, Ali, Sannachi, Lakshmanan, Tadayyon, Hadi, Tran, William T., Slodkowska, Elzbieta, Trudeau, Maureen, Gandhi, Sonal, Pritchard, Kathleen, Kolios, Michael C., Czarnota, Gregory J.
Izdano u Sci Rep (2017)

Response monitoring of breast cancer patients receiving neoadjuvant chemotherapy using quantitative ultrasound, texture, and molecular features

od Sannachi, Lakshmanan, Gangeh, Mehrdad, Tadayyon, Hadi, Sadeghi-Naini, Ali, Gandhi, Sonal, Wright, Frances C., Slodkowska, Elzbieta, Curpen, Belinda, Tran, William, Czarnota, Gregory J.
Izdano u PLoS One (2018)

Breast Cancer Treatment Response Monitoring Using Quantitative Ultrasound and Texture Analysis: Comparative Analysis of Analytical Models

od Sannachi, Lakshmanan, Gangeh, Mehrdad, Tadayyon, Hadi, Gandhi, Sonal, Wright, Frances C., Slodkowska, Elzbieta, Curpen, Belinda, Sadeghi-Naini, Ali, Tran, William, Czarnota, Gregory J.
Izdano u Transl Oncol (2019)

A review and comparison of breast tumor cell nuclei segmentation performances using deep convolutional neural networks

od Lagree, Andrew, Mohebpour, Majidreza, Meti, Nicholas, Saednia, Khadijeh, Lu, Fang-I., Slodkowska, Elzbieta, Gandhi, Sonal, Rakovitch, Eileen, Shenfield, Alex, Sadeghi-Naini, Ali, Tran, William T.
Izdano u Sci Rep (2021)

Prediction of chemotherapy response in breast cancer patients at pre-treatment using second derivative texture of CT images and machine learning

od Moghadas-Dastjerdi, Hadi, Rahman, Shan-E-Tallat Hira, Sannachi, Lakshmanan, Wright, Frances C., Gandhi, Sonal, Trudeau, Maureen E., Sadeghi-Naini, Ali, Czarnota, Gregory J.
Izdano u Transl Oncol (2021)

Early prediction of therapy responses and outcomes in breast cancer patients using quantitative ultrasound spectral texture

od Sadeghi-Naini, Ali, Sannachi, Lakshmanan, Pritchard, Kathleen, Trudeau, Maureen, Gandhi, Sonal, Wright, Frances C., Zubovits, Judit, Yaffe, Martin J., Kolios, Michael C., Czarnota, Gregory J.
Izdano 2014

A priori Prediction of Neoadjuvant Chemotherapy Response and Survival in Breast Cancer Patients using Quantitative Ultrasound

od Tadayyon, Hadi, Sannachi, Lakshmanan, Gangeh, Mehrdad J., Kim, Christina, Ghandi, Sonal, Trudeau, Maureen, Pritchard, Kathleen, Tran, William T., Slodkowska, Elzbieta, Sadeghi-Naini, Ali, Czarnota, Gregory J.
Izdano u Sci Rep (2017)