Ali Sadeghi-Naini
机构: Associate Professor, Department of Electrical Engineering and Computer Science, York University
主页: yorku.ca
每年引用次数
引用次数
引用: 2,830
H-指数: 31
I10-指数 : 73
出版物: 146
Machine Learning-Based A Priori Chemotherapy Response Prediction in Breast Cancer Patients using Textural CT Biomarkers *
Hadi Moghadas-Dastjerdi , Hira R. Sha-E-Tallat , Lakshmanan Sannachi , Laurentius O. Osapoeta
international conference of the ieee engineering in medicine and biology society 2020 1250 -1253
2020
MRI texture features from tumor core and margin in the prediction of response to neoadjuvant chemotherapy in patients with locally advanced breast cancer
Christopher Kolios , Lakshmanan Sannachi , Archya Dasgupta , Harini Suraweera
Oncotarget 12 ( 14) 1354
8
2021
Deep learning of quantitative ultrasound multi-parametric images at pre-treatment to predict breast cancer response to chemotherapy
Hamidreza Taleghamar , Seyed Ali Jalalifar , Gregory J Czarnota , Ali Sadeghi-Naini
Scientific reports 12 ( 1) 2244
6
2022
Data-Efficient Training of Pure Vision Transformers for the Task of Chest X-ray Abnormality Detection Using Knowledge Distillation
Seyed Ali Jalalifar , Ali Sadeghi-Naini
Smpte Journal 1444 -1447
1
2022
Prostate clinical study of a full inversion unconstrained ultrasound elastography technique
S Reza Mousavi , Ali Sadeghi-Naini , Gregory J Czarnota , Abbas Samani
Medical Imaging 2014: Ultrasonic Imaging and Tomography 9040 15 -21
2014
A priori prediction of local failure in brain metastasis after hypo-fractionated stereotactic radiotherapy using quantitative MRI and machine learning
Majid Jaberipour , Hany Soliman , Arjun Sahgal , Ali Sadeghi-Naini
Scientific Reports 11 ( 1) 21620 -21620
16
2021
A self-attention-guided 3D deep residual network with big transfer to predict local failure in brain metastasis after radiotherapy using multi-channel MRI
Seyed Ali Jalalifar , Hany Soliman , Arjun Sahgal , Ali Sadeghi-Naini
IEEE Journal of Translational Engineering in Health and Medicine 11 13 -22
8
2022
Automatic Assessment of Stereotactic Radiation Therapy Outcome in Brain Metastasis Using Longitudinal Segmentation on Serial MRI
Seyed Ali Jalalifar , Hany Soliman , Arjun Sahgal , Ali Sadeghi-Naini
IEEE Journal of Biomedical and Health Informatics
4
2023
Impact of tumour segmentation accuracy on efficacy of quantitative MRI biomarkers of radiotherapy outcome in brain metastasis
Seyed Ali Jalalifar , Hany Soliman , Arjun Sahgal , Ali Sadeghi-Naini
Cancers 14 ( 20) 5133 -5133
3
2022
Radiomics and Its Role in Predicting Radiotherapy Response and Outcome in Brain Metastasis
Seyed Ali Jalalifar , Hany Soliman , Arjun Sahgal , Ali Sadeghi-Naini
CRC Press 563 -581
2021
From high-frequency to low-frequency cell death detection: quantitative ultrasound evaluation of tumor response in breast cancer
Gregory J Czarnota , Ali Sadeghi-Naini , Naum Papanicolau , Omar Falou
Proceedings of Meetings on Acoustics 19 ( 1)
2013
Early prediction of therapy responses and outcomes in breast cancer patients using textural characteristics of quantitative ultrasound spectral parametric maps
Ali Sadeghi-Naini , Lakshmanan Sannachi , Kathleen Pritchard , Maureen Trudeau
Segmenting Tumour Habitats Using Machine Learning and Saturation Transfer Imaging
Wilfred W Lam , Wendy Oakden , Elham Karami , Margaret M Koletar
Correction: Quantitative ultrasound assessment of breast tumor response to chemotherapy using a multi-parameter approach
Hadi Tadayyon , Lakshmanan Sannachi , Mehrdad Gangeh , Ali Sadeghi-Naini
Oncotarget 8 ( 21) 35481 -35481
2017
Prediction of chemotherapy response in breast cancer patients at pre-treatment using second derivative texture of CT images and machine learning
Hadi Moghadas-Dastjerdi , Lakshmanan Sannachi , Frances C Wright , Sonal Gandhi
Translational Oncology 14 ( 10) 101183 -101183
16
2021
Characterizing intra-tumor regions on quantitative ultrasound parametric images to predict breast cancer response to chemotherapy at pre-treatment
Hamidreza Taleghamar , Hadi Moghadas-Dastjerdi , Gregory J Czarnota , Ali Sadeghi-Naini
Scientific Reports 11 ( 1) 14865 -14865
15
2021
Radiomics in predicting recurrence for patients with locally advanced breast cancer using quantitative ultrasound
Archya Dasgupta , Divya Bhardwaj , Daniel DiCenzo , Kashuf Fatima
Oncotarget 12 ( 25) 2437 -2437
12
2021
System and method for classifying and characterizing tissues using first-order and second-order statistics of quantitative ultrasound parametric maps
Ali Sadeghi-Naini , Hadi Tadayyon , Gregory J Czarnota , Omar Falou
7
2019
Characterizing tumour heterogeneous response to chemotherapy using low-frequency ultrasonic spectroscopy
Ali Sadeghi-Naini , Omar Falou , Gregory J Czarnota
Proceedings of Meetings on Acoustics 19 ( 1)
2
2013
Evaluation of tumor cell death response in locally-advanced breast cancer patients to chemotherapy treatment by scattering property estimates using ultrasound backscatter
Lakshmanan Sannachi , Hadi Tadayyon , Ali Sadeghi-Naini , Omar Falou
Proceedings of Meetings on Acoustics 19 ( 1)
1
2013
William Tran Lakshmanan Sannachi Hadi Tadayyon Omar Falou Michael Kolios frances wright Abbas Samani Mehrdad J. Gangeh Martin Yaffe Arjun Sahgal Andrew Lagree Fang-I Lu Shirin (Khadijeh) Saednia Sami Tabbarah Greg Stanisz Seyed Ali Jalalifar Kathleen I. Pritchard Rebecca Dent Archya Dasgupta Rajni V Patel