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Title: Deep-ADMM-Net-master Download
 Description: Net is defined over a data flow graph, which is derived from the iterative pro- cedures in Alternating Direction Method of Multipliers (ADMM) algorithm for optimizing a CS-based MRI model. In the training phase, all parameters of the net, e.g., image transforms, shrinkage functions, etc., are discriminatively trained end-to-end using L-BFGS algorithm. In the testing phase, it has computational overhead similar to ADMM but uses optimized parameters learned from the train- ing data for CS-based reconstruction task. Experiments on MRI image reconstruc- tion under different sampling ratios in k-space demonstrate that it significantly improves the baseline ADMM algorith
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File list (Check if you may need any files): 
FilenameSizeDate
Deep-ADMM-Net-master 0  2017-04-25

Deep-ADMM-Net-master\Gen_traindata.m 444  2017-04-25

Deep-ADMM-Net-master\LICENSE 1065  2017-04-25

Deep-ADMM-Net-master\README.md 2781  2017-04-25

Deep-ADMM-Net-master\Train_LBFGS 0  2017-04-25

Deep-ADMM-Net-master\Train_LBFGS\InitNet.m 3285  2017-04-25

Deep-ADMM-Net-master\Train_LBFGS\Matlab 0  2017-04-25

Deep-ADMM-Net-master\Train_LBFGS\Matlab\Makefile 917  2017-04-25

Deep-ADMM-Net-master\Train_LBFGS\Matlab\compile_mex.m 3942  2017-04-25

Deep-ADMM-Net-master\Train_LBFGS\Matlab\driver1.m 385  2017-04-25

Deep-ADMM-Net-master\Train_LBFGS\Matlab\example_NNLS.m 7903  2017-04-25

Deep-ADMM-Net-master\Train_LBFGS\Matlab\fminunc_wrapper.m 224  2017-04-25

Deep-ADMM-Net-master\Train_LBFGS\Matlab\lbfgsb_wrapper.c 11811  2017-04-25

Deep-ADMM-Net-master\Train_LBFGS\Matlab\lbfgsb_wrapper.mexa64 60892  2017-04-25

Deep-ADMM-Net-master\Train_LBFGS\Matlab\lbfgsb_wrapper.mexmaci64 101444  2017-04-25

Deep-ADMM-Net-master\Train_LBFGS\Matlab\lbfgsb_wrapper.mexw64 53248  2017-04-25

Deep-ADMM-Net-master\Train_LBFGS\lb 0  2017-04-25

Deep-ADMM-Net-master\Train_LBFGS\lb\lbfgsb.m 10498  2017-04-25

Deep-ADMM-Net-master\Train_LBFGS\lb\netTOwei.m 336  2017-04-25

Deep-ADMM-Net-master\Train_LBFGS\lb\weiTOnet.m 449  2017-04-25

Deep-ADMM-Net-master\Train_LBFGS\loss_with_gradient_single.m 3674  2017-04-25

Deep-ADMM-Net-master\Train_LBFGS\loss_with_gradient_total.m 818  2017-04-25

Deep-ADMM-Net-master\Train_output 0  2017-04-25

Deep-ADMM-Net-master\Train_output\error 0  2017-04-25

Deep-ADMM-Net-master\Train_output\error\error-001.mat 1920  2017-04-25

Deep-ADMM-Net-master\Train_output\net 0  2017-04-25

Deep-ADMM-Net-master\Train_output\net\net-001.mat 127608  2017-04-25

Deep-ADMM-Net-master\config.m 475  2017-04-25

Deep-ADMM-Net-master\data 0  2017-04-25

Deep-ADMM-Net-master\data\Brain_data 0  2017-04-25

Deep-ADMM-Net-master\data\Brain_data\Brain_data1.mat 376122  2017-04-25

Deep-ADMM-Net-master\data\Brain_data\Brain_data2.mat 498584  2017-04-25

Deep-ADMM-Net-master\data\ChestTrain 0  2017-04-25

Deep-ADMM-Net-master\data\ChestTrain\im-01.mat 94331  2017-04-25

Deep-ADMM-Net-master\data\ChestTrain\im-02.mat 86540  2017-04-25

Deep-ADMM-Net-master\data\ChestTrain\im-03.mat 104789  2017-04-25

Deep-ADMM-Net-master\data\ChestTrain\im-04.mat 85597  2017-04-25

Deep-ADMM-Net-master\data\ChestTrain\im-05.mat 96970  2017-04-25

Deep-ADMM-Net-master\data\ChestTrain\im-06.mat 100607  2017-04-25

Deep-ADMM-Net-master\data\ChestTrain\im-07.mat 108057  2017-04-25

Deep-ADMM-Net-master\data\ChestTrain\im-08.mat 106140  2017-04-25

Deep-ADMM-Net-master\data\ChestTrain\im-09.mat 117854  2017-04-25

Deep-ADMM-Net-master\data\ChestTrain\im-10.mat 74679  2017-04-25

Deep-ADMM-Net-master\data\ChestTrain\im-100.mat 135014  2017-04-25

Deep-ADMM-Net-master\data\ChestTrain\im-11.mat 163242  2017-04-25

Deep-ADMM-Net-master\data\ChestTrain\im-12.mat 143600  2017-04-25

Deep-ADMM-Net-master\data\ChestTrain\im-13.mat 131237  2017-04-25

Deep-ADMM-Net-master\data\ChestTrain\im-14.mat 112500  2017-04-25

Deep-ADMM-Net-master\data\ChestTrain\im-15.mat 99133  2017-04-25

Deep-ADMM-Net-master\data\ChestTrain\im-16.mat 98307  2017-04-25

Deep-ADMM-Net-master\data\ChestTrain\im-17.mat 106314  2017-04-25

Deep-ADMM-Net-master\data\ChestTrain\im-18.mat 82722  2017-04-25

Deep-ADMM-Net-master\data\ChestTrain\im-19.mat 93774  2017-04-25

Deep-ADMM-Net-master\data\ChestTrain\im-20.mat 103252  2017-04-25

Deep-ADMM-Net-master\data\ChestTrain\im-21.mat 96922  2017-04-25

Deep-ADMM-Net-master\data\ChestTrain\im-22.mat 108829  2017-04-25

Deep-ADMM-Net-master\data\ChestTrain\im-23.mat 70440  2017-04-25

Deep-ADMM-Net-master\data\ChestTrain\im-24.mat 131130  2017-04-25

Deep-ADMM-Net-master\data\ChestTrain\im-25.mat 86703  2017-04-25

Deep-ADMM-Net-master\data\ChestTrain\im-26.mat 106207  2017-04-25

Deep-ADMM-Net-master\data\ChestTrain\im-27.mat 136561  2017-04-25

Deep-ADMM-Net-master\data\ChestTrain\im-28.mat 118289  2017-04-25

Deep-ADMM-Net-master\data\ChestTrain\im-29.mat 101033  2017-04-25

Deep-ADMM-Net-master\data\ChestTrain\im-30.mat 125706  2017-04-25

Deep-ADMM-Net-master\data\ChestTrain\im-31.mat 106771  2017-04-25

Deep-ADMM-Net-master\data\ChestTrain\im-32.mat 124899  2017-04-25

Deep-ADMM-Net-master\data\ChestTrain\im-33.mat 112519  2017-04-25

Deep-ADMM-Net-master\data\ChestTrain\im-34.mat 128363  2017-04-25

Deep-ADMM-Net-master\data\ChestTrain\im-35.mat 104665  2017-04-25

Deep-ADMM-Net-master\data\ChestTrain\im-36.mat 157430  2017-04-25

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Deep-ADMM-Net-master\data\ChestTrain\im-50.mat 101020  2017-04-25

Deep-ADMM-Net-master\data\ChestTrain\im-51.mat 98717  2017-04-25

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Deep-ADMM-Net-master\data\ChestTrain\im-53.mat 99178  2017-04-25

Deep-ADMM-Net-master\data\ChestTrain\im-54.mat 108251  2017-04-25

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Deep-ADMM-Net-master\data\ChestTrain\im-57.mat 95294  2017-04-25

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Deep-ADMM-Net-master\data\ChestTrain\im-60.mat 94121  2017-04-25

Deep-ADMM-Net-master\data\ChestTrain\im-61.mat 159074  2017-04-25

Deep-ADMM-Net-master\data\ChestTrain\im-62.mat 103494  2017-04-25

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Deep-ADMM-Net-master\data\ChestTrain\im-65.mat 119545  2017-04-25

Deep-ADMM-Net-master\data\ChestTrain\im-66.mat 92007  2017-04-25

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