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JOURNAL OF NEUROSCIENCE AND NEUROSURGERY (ISSN:2517-7400)

Seyyed Ali Hosseini

Biography:

Seyyed Ali Hosseini is a highly skilled researcher and scientist with over a decade of experience in medical imaging, artificial intelligence, and data analysis. He holds a Ph.D. in Neuroscience from McGill University, where he conducts cutting-edge research in the field of computational medical imaging and artificial intelligence, with a focus on Radiomics and deep learning. He also holds an M.Sc. in Medical Physics from Tehran University of Medical Science and a B.Sc. in Medical Imaging from Shahid Beheshti University of Medical Science. Seyyed is proficient in computer programming languages such as Python and MATLAB, statistical analysis software like R, and machine learning frameworks including Keras and PyTorch. He has a solid background in data acquisition and pre/post-processing of medical image data, and his research interests include computational and analytical medical imaging, Radiomics, machine learning, deep learning, and neuroscience. Seyyed has previous work experience as a radiology technologist, CT technologist, image processing and data analyst, radiology quality control technologist, and supervisor of a medical imaging center.

Research Interests:

Dr. Seyyed Ali research areas include, but are not limited to Computational and Analytical in medical imaging, Radiomics, Machine learning, Deep learning, Segmentations, Medical imaging includes: PET-CT and PET-MRI (Multi modalities), CT, MRI (Multi modalities), Radiotherapy, Ultrasound imaging and Neuroscience

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