首页|University of Sherbrooke Reports Findings in Machine Learning (Optimisation of q uantitative brain diffusion-relaxation MRI acquisition protocols with physics-in formed machine learning)
University of Sherbrooke Reports Findings in Machine Learning (Optimisation of q uantitative brain diffusion-relaxation MRI acquisition protocols with physics-in formed machine learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning is th e subject of a report. According to news reporting out of Sherbrooke, Canada, by NewsRx editors, research stated, “Diffusion-relaxation MRI aims to extract quan titative measures that characterise microstructural tissue properties such as or ientation, size, and shape, but long acquisition times are typically required. T his work proposes a physics-informed learning framework to extract an optimal su bset of diffusion-relaxation MRI measurements for enabling shorter acquisition times, predict non-measured signals, and estimate quantitative parameters.”
SherbrookeCanadaNorth and Central Am ericaCyborgsEmerging TechnologiesMachine Learning
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