Mojtaba Jafaritadi

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Mojtaba Jafaritadi received his B.Sc. degree in Biomedical Engineering (EE), in 2012, M.Sc. in Biomedical Imaging from Åbo Akademi University BioImaging Master's Degree Program, and Ph.D. degree in Medical Physics and Engineering from the University of Turku, Finland, in 2014 and 2018, respectively. Prior to joining Stanford University, he was a Principal Lecturer in Artificial Intelligence at Turku University of Applied Sciences (TUAS), Senior Researcher at the University of Turku, Research Scientist in Precordior Company, and Doctoral Researcher at Turku PET Center in Finland. His research interests focus on motion estimation based on multidimensional MEMS sensors, 4D imaging, data- and device-driven respiratory and cardiac gating, signal processing, AI-enabled medical image processing, machine learning, and deep learning.

Dr. Jafaritadi has a strong interest in PET/MRI imaging, in particular, image reconstruction, head and body motion tracking, PET image denoising, synthetic image generator systems, and PET instrumentation. He is working on the device- and data-driven motion tracking and correction for PET/MRI imaging. His current research focuses on motion estimation using multidimensional MEMS IMU sensors, optical sensing, signal processing, and machine learning. He is also involved in  data-fusion for motion correction, cross modality image translation in cancer imaging, and image enhancement/denoising for PET/MRI systems using deep learning. 

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