معرفی
Dr. Valery Vishnevskiy is a Lecturer at the Department of Information Technology and Electrical Engineering at ETH Zürich, affiliated with the Biomedical Imaging Group. His research focuses on advanced medical imaging techniques, particularly in cardiac MRI, ultrasound, and machine learning applications. He contributes to projects involving 4D flow MRI reconstruction, speed-of-sound imaging, and motion-corrected diffusion tensor analysis.
- Primary Affiliation: ETH Zürich, Department of Information Technology and Electrical Engineering
- Research Interests: Biomedical Imaging, MRI Reconstruction, Ultrasound Physics, Cardiac Imaging, Deep Learning
His recent work emphasizes self-supervised learning for medical imaging, including the development of FlowMRI-Net for accelerated 4D flow MRI and Speed-of-Sound Imaging using diverging waves. Publications span hyperpolarized 13C metabolic imaging, viscoelasticity reconstruction, and probabilistic sampling optimization.
Dr. Vishnevskiy's contributions to deformable image registration include methods for handling sliding interfaces in abdominal and cardiac imaging, with applications in respiratory motion compensation and tissue ablation monitoring. He also explores mathematical models for enzyme activity analysis and behavioral pattern detection.
