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Publication search results
found 37 matches
- 2023
- Khadijeh Saednia, William T. Tran, Ali Sadeghi-Naini:
Automatic characterization of breast lesions using multi-scale attention-guided deep learning of digital histology images. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(1): 103-111 (2023) - Seyed Ali Jalalifar, Hany Soliman, Arjun Sahgal, Ali Sadeghi-Naini:
Automatic Assessment of Stereotactic Radiation Therapy Outcome in Brain Metastasis Using Longitudinal Segmentation on Serial MRI. IEEE J. Biomed. Health Informatics 27(6): 2681-2692 (2023) - 2022
- Mohamed Aboutaleb, Niusha Kheirkhah, Abbas Samani, Ali Sadeghi-Naini:
An Enhanced Method for Full-Inversion-Based Ultrasound Elastography of the Liver. EMBC 2022: 3887-3890 - Seyed Ali Jalalifar, Ali Sadeghi-Naini:
Data-Efficient Training of Pure Vision Transformers for the Task of Chest X-ray Abnormality Detection Using Knowledge Distillation. EMBC 2022: 1444-1447 - Khadijeh Saednia, William T. Tran, Ali Sadeghi-Naini:
A Cascaded Deep Learning Framework for Segmentation of Nuclei in Digital Histology Images. EMBC 2022: 4764-4767 - 2021
- Parya Jafari, Sergio C. H. Dempsey, Douglas A. Hoover, Elham Karami, Stewart Gaede, Ali Sadeghi-Naini, Ting-Yim Lee, Abbas Samani:
In-vivo lung biomechanical modeling for effective tumor motion tracking in external beam radiation therapy. Comput. Biol. Medicine 130: 104231 (2021) - 2020
- Majid Jaberipour, Arjun Sahgal, Hany Soliman, Ali Sadeghi-Naini:
Predicting Local Failure after Stereotactic Radiation Therapy in Brain Metastasis using Quantitative CT and Machine Learning*. EMBC 2020: 1323-1326 - Ali Jalalifar, Hany Soliman, Mark Ruschin, Arjun Sahgal, Ali Sadeghi-Naini:
A Brain Tumor Segmentation Framework Based on Outlier Detection Using One-Class Support Vector Machine. EMBC 2020: 1067-1070 - Ali Jalalifar, Hany Soliman, Arjun Sahgal, Ali Sadeghi-Naini:
A Cascaded Deep-Learning Framework for Segmentation of Metastatic Brain Tumors Before and After Stereotactic Radiation Therapy*. EMBC 2020: 1063-1066 - Niusha Kheirkhah, Sergio C. H. Dempsey, Hassan Rivaz, Abbas Samani, Ali Sadeghi-Naini:
A Tissue Mechanics Based Method to Improve Tissue Displacement Estimation in Ultrasound Elastography*. EMBC 2020: 2051-2054 - Niusha Kheirkhah, Ali Sadeghi-Naini, Abbas Samani:
Analytical Estimation of Out-of-plane Strain in Ultrasound Elastography to Improve Axial and Lateral Displacement Fields*. EMBC 2020: 2055-2058 - Hadi Moghadas-Dastjerdi, Hira R. Sha-E.-Tallat, Lakshmanan Sannachi, Laurentius O. Osapoeta, Ali Sadeghi-Naini, Gregory J. Czarnota:
Machine Learning-Based A Priori Chemotherapy Response Prediction in Breast Cancer Patients using Textural CT Biomarkers*. EMBC 2020: 1250-1253 - Khadijeh Saednia, Ali Jalalifar, Shahin Ebrahimi, Ali Sadeghi-Naini:
An Attention-Guided Deep Neural Network for Annotating Abnormalities in Chest X-ray Images: Visualization of Network Decision Basis*. EMBC 2020: 1258-1261 - 2019
- Parya Jafari, Douglas A. Hoover, Brian P. Yaremko, Grace Parraga, Abbas Samani, Ali Sadeghi-Naini:
Incorporating Pathology-Induced Heterogeneities in a Patient-Specific Biomechanical Model of the Lung for Accurate Tumor Motion Estimation. EMBC 2019: 6964-6967 - Parya Jafari, Brian P. Yaremko, Grace Parraga, Douglas A. Hoover, Ali Sadeghi-Naini, Abbas Samani:
4DCT Ventilation Map Construction Using Biomechanics-base Image Registration and Enhanced Air Segmentation. EMBC 2019: 6263-6266 - Elham Karami, Ali Jalalifar, Mark Ruschin, Hany Soliman, Arjun Sahgal, Greg J. Stanisz, Ali Sadeghi-Naini:
An Automatic Framework for Segmentation of Brain Tumours at Follow-up Scans after Radiation Therapy. EMBC 2019: 463-466 - Elham Karami, Mark Ruschin, Hany Soliman, Arjun Sahgal, Greg J. Stanisz, Ali Sadeghi-Naini:
An MR Radiomics Framework for Predicting the Outcome of Stereotactic Radiation Therapy in Brain Metastasis. EMBC 2019: 1022-1025 - 2017
- Seyed Reza Mousavi, Hassan Rivaz, Ali Sadeghi-Naini, Gregory J. Czarnota, Abbas Samani:
Breast Ultrasound Elastography Using Full Inversion-Based Elastic Modulus Reconstruction. IEEE Trans. Computational Imaging 3(4): 774-782 (2017) - Amir Mohammad Esmaieeli Sikaroudi, Sasan Ghaffari, Ali Yousefi, Hassan Sadeghi Naeini:
Foot anthropometry device and single object image thresholding. CoRR abs/1707.03004 (2017) - 2016
- Mehrdad J. Gangeh, Hadi Tadayyon, Lakshmanan Sannachi, Ali Sadeghi-Naini, William T. Tran, Gregory J. Czarnota:
Computer Aided Theragnosis Using Quantitative Ultrasound Spectroscopy and Maximum Mean Discrepancy in Locally Advanced Breast Cancer. IEEE Trans. Medical Imaging 35(3): 778-790 (2016) - Ali Sadeghi-Naini, Martin Stanisz, Hadi Tadayyon, Jaswinder Taank, Gregory J. Czarnota:
Low-frequency ultrasound radiosensitization and therapy response monitoring of tumors: An in vivo study. EMBC 2016: 3227-3230 - 2015
- Lakshmanan Sannachi, Hadi Tadayyon, Ali Sadeghi-Naini, William T. Tran, Sonal Gandhi, Frances Wright, Michael L. Oelze, Gregory J. Czarnota:
Non-invasive evaluation of breast cancer response to chemotherapy using quantitative ultrasonic backscatter parameters. Medical Image Anal. 20(1): 224-236 (2015) - Mehrdad J. Gangeh, Hadi Tadayyon, Lakshmanan Sannachi, Ali Sadeghi-Naini, Gregory J. Czarnota:
Quantitative ultrasound spectroscopy and a kernel-based metric in clinical cancer response monitoring. ISBI 2015: 255-259 - 2014
- Mehrdad J. Gangeh, Ali Sadeghi-Naini, Michael Diu, Hadi Tadayyon, Mohamed S. Kamel, Gregory J. Czarnota:
Categorizing Extent of Tumor Cell Death Response to Cancer Therapy Using Quantitative Ultrasound Spectroscopy and Maximum Mean Discrepancy. IEEE Trans. Medical Imaging 33(6): 1390-1400 (2014) - 2013
- Mehrdad J. Gangeh, Ali Sadeghi-Naini, Mohamed S. Kamel, Gregory J. Czarnota:
Assessment of cancer therapy effects using texton-based characterization of quantitative ultrasound parametric images. ISBI 2013: 1372-1375 - 2012
- Omar Falou, Ali Sadeghi-Naini, Hany Soliman, Martin J. Yaffe, Gregory J. Czarnota:
Diffuse optical imaging for monitoring treatment response in breast cancer patients. EMBC 2012: 3155-3158 - Ali Sadeghi-Naini, Omar Falou, Gregory J. Czarnota:
Quantitative ultrasound visualization of cell death: Emerging clinical applications for detection of cancer treatment response. EMBC 2012: 1125-1128 - Ali Sadeghi-Naini, Omar Falou, Gregory J. Czarnota:
Quantitative ultrasound spectral parametric maps: Early surrogates of cancer treatment response. EMBC 2012: 2672-2675 - Zahra Shirzadi, Ali Sadeghi-Naini, Abbas Samani:
Lung tumor motion prediction during lung brachytherapy using finite element model. Medical Imaging: Image-Guided Procedures 2012: 83160I - 2011
- Ali Asgary, Ali Sadeghi-Naini:
Modelling the Adaptation of Business Continuity Planning by Businesses Using Neural Networks. Intell. Syst. Account. Finance Manag. 18(2-3): 89-104 (2011)
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