Ali Sadeghi-Naini
York University
H-index: 30
North America-Canada
Top articles of Ali Sadeghi-Naini
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
A hierarchical self‐attention‐guided deep learning framework to predict breast cancer response to chemotherapy using pre‑treatment tumor biopsies | Medical Physics | Khadijeh Saednia William T Tran Ali Sadeghi‑Naini | 2023/12 |
Automatic characterization of breast lesions using multi-scale attention-guided deep learning of digital histology images | Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization | Khadijeh Saednia William T Tran Ali Sadeghi-Naini | 2023/1/2 |
Predicting Patterns of Distant Metastasis in Breast Cancer Patients following Local Regional Therapy Using Machine Learning | Genes | Audrey Shiner Alex Kiss Khadijeh Saednia Katarzyna J Jerzak Sonal Gandhi | 2023/9/7 |
Machine learning analysis of breast ultrasound to classify triple negative and HER2+ breast cancer subtypes | Breast Disease | Romuald Ferre Janne Elst Seanthan Senthilnathan Andrew Lagree Sami Tabbarah | 2023/1/1 |
Enhanced full-inversion-based ultrasound elastography for evaluating tumor response to neoadjuvant chemotherapy in patients with locally advanced breast cancer | Physica Medica | Niusha Kheirkhah Anat Kornecki Gregory J Czarnota Abbas Samani Ali Sadeghi-Naini | 2023/8/1 |
A novel tissue mechanics‐based method for improved motion tracking in quasi‐static ultrasound elastography | Medical Physics | Niusha Kheirkhah Sergio Dempsey Ali Sadeghi‐Naini Abbas Samani | 2023/4 |
Automatic Assessment of Stereotactic Radiation Therapy Outcome in Brain Metastasis Using Longitudinal Segmentation on Serial MRI | IEEE Journal of Biomedical and Health Informatics | Seyed Ali Jalalifar Hany Soliman Arjun Sahgal Ali Sadeghi-Naini | 2023/1/9 |
Khadijeh Saednia1, 2, Andrew Lagree2, Marie A. Alera2, Lauren Fleshner2, Audrey Shiner2, Ethan Law2, Brianna Law2, David W. Dodington3, Fang‑I Lu3, William T. Tran2, 4, 5 & | Scientific Reports | Ali Sadeghi‑Naini | 2022 |
An enhanced method for full-inversion-based ultrasound elastography of the liver | Mohamed Aboutaleb Niusha Kheirkhah Abbas Samani Ali Sadeghi-Naini | 2022/7/11 | |
A cascaded deep learning framework for segmentation of nuclei in digital histology images | Khadijeh Saednia William T Tran Ali Sadeghi-Naini | 2022/7/11 | |
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 | 2022/7/11 | |
A self-attention-guided 3D deep residual network with big transfer to predict local failure in brain metastasis after radiotherapy using multi-channel MRI | IEEE Journal of Translational Engineering in Health and Medicine | Seyed Ali Jalalifar Hany Soliman Arjun Sahgal Ali Sadeghi-Naini | 2022/11/4 |
Quantitative digital histopathology and machine learning to predict pathological complete response to chemotherapy in breast cancer patients using pre-treatment tumor biopsies | Scientific Reports | Khadijeh Saednia Andrew Lagree Marie A Alera Lauren Fleshner Audrey Shiner | 2022/6/11 |
Predicting the outcome of radiotherapy in brain metastasis by integrating the clinical and MRI‐based deep learning features | Medical Physics | Seyed Ali Jalalifar Hany Soliman Arjun Sahgal Ali Sadeghi‐Naini | 2022/11 |
Deep learning of quantitative ultrasound multi-parametric images at pre-treatment to predict breast cancer response to chemotherapy | Scientific reports | Hamidreza Taleghamar Seyed Ali Jalalifar Gregory J Czarnota Ali Sadeghi-Naini | 2022/2/10 |
Impact of tumour segmentation accuracy on efficacy of quantitative MRI biomarkers of radiotherapy outcome in brain metastasis | Cancers | Seyed Ali Jalalifar Hany Soliman Arjun Sahgal Ali Sadeghi-Naini | 2022/10/20 |
correspondence Reply to A. Pfob et al | Nicholas Meti Ali Sadeghi-Naini | 2021 | |
A review and comparison of breast tumor cell nuclei segmentation performances using deep convolutional neural networks | Andrew Lagree Majidreza Mohebpour Nicholas Meti Khadijeh Saednia Fang-I Lu | 2021/4/13 | |
Characterizing intra-tumor regions on quantitative ultrasound parametric images to predict breast cancer response to chemotherapy at pre-treatment | Scientific Reports | Hamidreza Taleghamar Hadi Moghadas-Dastjerdi Gregory J Czarnota Ali Sadeghi-Naini | 2021/7/21 |
Machine learning frameworks to predict neoadjuvant chemotherapy response in breast cancer using clinical and pathological features | JCO Clinical Cancer Informatics | Nicholas Meti Khadijeh Saednia Andrew Lagree Sami Tabbarah Majid Mohebpour | 2021/1 |
Co-Authors
