Jiayi Wang, Raymond K W Wong, Mikyoung Jun, Courtney Schumacher, R Saravanan, Chunmei Sun
Statistical and Machine Learning Methods Applied to the Prediction of Different Tropical Rainfall Types
Environmental research communications
magnetic resonance imaging mri revolutionized medical imaging providing noninvasive highly detailed look human body however long acquisition times mri present challenges causing patient discomfort motion artifacts limiting realtime applications address challenges researchers exploring various techniques reduce acquisition time improve overall efficiency mri one technique compressed sensing cs reduces data acquisition leveraging image sparsity transformed spaces recent years deep learning dl integrated csmri leading new framework seen remarkable growth dlbased csmri approaches proving highly effective accelerating mr imaging without compromising image quality review comprehensively examines dlbased csmri techniques focusing role increasing mr imaging speed provide detailed analysis category dlbased csmri including endtoend unroll optimization selfsupervised federated learning systematic review highlights significant contributions underscores exciting potential dl csmri additionally systematic review efficiently summarizes key results trends dlbased csmri including quantitative metrics dataset used acceleration factors progress research interest dl techniques time finally discuss potential future directions importance dlbased csmri advancement medical imaging facilitate research area provide github repository includes uptodate dlbased csmri publications publicly available datasets httpsgithubcommosafawesomedlbasedcsmri