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Hany Soliman
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2020 – today
- 2023
- [j2]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) - 2020
- [j1]Casey Y. Lee, Hany Soliman, Benjamin J. Geraghty, Albert P. Chen, Kim A. Connelly, Ruby Endre, William J. Perks, Chris Heyn, Sandra E. Black, Charles H. Cunningham:
Lactate topography of the human brain using hyperpolarized 13C-MRI. NeuroImage 204 (2020) - [c6]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 - [c5]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 - [c4]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
2010 – 2019
- 2019
- [c3]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 - [c2]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 - 2013
- [i1]Mohamed Magdy Mosbah, Hany Soliman, Mohamad Abou El-Nasr:
Current Services In Cloud Computing: A Survey. CoRR abs/1311.3319 (2013) - 2012
- [c1]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
Coauthor Index
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