Seyed Ali Jalalifar
Orcid: 0000-0001-8358-7190Affiliations:
- York University, Department of Electrical Engineering and Computer Science, Lassonde School of Engineering, Toronto, ON, Canada
According to our database1,
Seyed Ali Jalalifar
authored at least 6 papers
between 2019 and 2023.
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Bibliography
2023
Automatic Assessment of Stereotactic Radiation Therapy Outcome in Brain Metastasis Using Longitudinal Segmentation on Serial MRI.
IEEE J. Biomed. Health Informatics, June, 2023
2022
Data-Efficient Training of Pure Vision Transformers for the Task of Chest X-ray Abnormality Detection Using Knowledge Distillation.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
2020
An Attention-Guided Deep Neural Network for Annotating Abnormalities in Chest X-ray Images: Visualization of Network Decision Basis<sup>*</sup>.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
A Cascaded Deep-Learning Framework for Segmentation of Metastatic Brain Tumors Before and After Stereotactic Radiation Therapy<sup>*</sup>.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
A Brain Tumor Segmentation Framework Based on Outlier Detection Using One-Class Support Vector Machine.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
An Automatic Framework for Segmentation of Brain Tumours at Follow-up Scans after Radiation Therapy.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019