Ali Sadeghi-Naini
Orcid: 0000-0001-5055-339X
According to our database1,
Ali Sadeghi-Naini
authored at least 36 papers
between 2009 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
Automatic characterization of breast lesions using multi-scale attention-guided deep learning of digital histology images.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., January, 2023
2022
A Cascaded Deep Learning Framework for Segmentation of Nuclei in Digital Histology Images.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 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
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
2021
In-vivo lung biomechanical modeling for effective tumor motion tracking in external beam radiation therapy.
Comput. Biol. Medicine, 2021
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
Machine Learning-Based A Priori Chemotherapy Response Prediction in Breast Cancer Patients using Textural CT Biomarkers<sup>*</sup>.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Analytical Estimation of Out-of-plane Strain in Ultrasound Elastography to Improve Axial and Lateral Displacement Fields<sup>*</sup>.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
A Tissue Mechanics Based Method to Improve Tissue Displacement Estimation in Ultrasound Elastography<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
Predicting Local Failure after Stereotactic Radiation Therapy in Brain Metastasis using Quantitative CT and Machine Learning<sup>*</sup>.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
An MR Radiomics Framework for Predicting the Outcome of Stereotactic Radiation Therapy in Brain Metastasis.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 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
4DCT Ventilation Map Construction Using Biomechanics-base Image Registration and Enhanced Air Segmentation.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Incorporating Pathology-Induced Heterogeneities in a Patient-Specific Biomechanical Model of the Lung for Accurate Tumor Motion Estimation.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2017
Breast Ultrasound Elastography Using Full Inversion-Based Elastic Modulus Reconstruction.
IEEE Trans. Computational Imaging, 2017
2016
Computer Aided Theragnosis Using Quantitative Ultrasound Spectroscopy and Maximum Mean Discrepancy in Locally Advanced Breast Cancer.
IEEE Trans. Medical Imaging, 2016
Low-frequency ultrasound radiosensitization and therapy response monitoring of tumors: An in vivo study.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
2015
Non-invasive evaluation of breast cancer response to chemotherapy using quantitative ultrasonic backscatter parameters.
Medical Image Anal., 2015
Quantitative ultrasound spectroscopy and a kernel-based metric in clinical cancer response monitoring.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
2014
Categorizing Extent of Tumor Cell Death Response to Cancer Therapy Using Quantitative Ultrasound Spectroscopy and Maximum Mean Discrepancy.
IEEE Trans. Medical Imaging, 2014
2013
Assessment of cancer therapy effects using texton-based characterization of quantitative ultrasound parametric images.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
2012
Proceedings of the Medical Imaging 2012: Image-Guided Procedures, 2012
Quantitative ultrasound spectral parametric maps: Early surrogates of cancer treatment response.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Quantitative ultrasound visualization of cell death: Emerging clinical applications for detection of cancer treatment response.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
2011
IEEE Trans. Biomed. Eng., 2011
Estimation of Lung's Air Volume and Its Variations Throughout Respiratory CT Image Sequences.
IEEE Trans. Biomed. Eng., 2011
Modelling the Adaptation of Business Continuity Planning by Businesses Using Neural Networks.
Intell. Syst. Account. Finance Manag., 2011
A totally deflated lung's CT image construction by means of extrapolated deformable registration.
Proceedings of the Medical Imaging 2011: Image Processing, 2011
Effects of deflated lung's geometry simplifications on the biomechanical model of its tumor motion: a phantom study.
Proceedings of the Medical Imaging 2011: Visualization, 2011
2010
CT-Enhanced Ultrasound Image of a Totally Deflated Lung for Image-Guided Minimally Invasive Tumor Ablative Procedures.
IEEE Trans. Biomed. Eng., 2010
A real-time trained system for robust speaker verification using relative space of anchor models.
Comput. Speech Lang., 2010
2009
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009