Hosseini, Seyed Amir, Yaman, Burhaneddin, Moeller, Steen, Hong, Mingyi, and Akcakaya, Mehmet. Dense Recurrent Neural Networks for Accelerated MRI: History-Cognizant Unrolling of Optimization Algorithms. Retrieved from https://par.nsf.gov/biblio/10235052. IEEE Journal of Selected Topics in Signal Processing 14.6 Web. doi:10.1109/jstsp.2020.3003170.

Hosseini, Seyed Amir, Yaman, Burhaneddin, Moeller, Steen, Hong, Mingyi, & Akcakaya, Mehmet. Dense Recurrent Neural Networks for Accelerated MRI: History-Cognizant Unrolling of Optimization Algorithms. IEEE Journal of Selected Topics in Signal Processing, 14 (6). Retrieved from https://par.nsf.gov/biblio/10235052. https://doi.org/10.1109/jstsp.2020.3003170

Hosseini, Seyed Amir, Yaman, Burhaneddin, Moeller, Steen, Hong, Mingyi, and Akcakaya, Mehmet. "Dense Recurrent Neural Networks for Accelerated MRI: History-Cognizant Unrolling of Optimization Algorithms". IEEE Journal of Selected Topics in Signal Processing 14 (6). Country unknown/Code not available. https://doi.org/10.1109/jstsp.2020.3003170. https://par.nsf.gov/biblio/10235052.

@article{osti_10235052,
place = {Country unknown/Code not available}, title = {Dense Recurrent Neural Networks for Accelerated MRI: History-Cognizant Unrolling of Optimization Algorithms}, url = {https://par.nsf.gov/biblio/10235052}, DOI = {10.1109/jstsp.2020.3003170}, abstractNote = {}, journal = {IEEE Journal of Selected Topics in Signal Processing}, volume = {14}, number = {6}, author = {Hosseini, Seyed Amir and Yaman, Burhaneddin and Moeller, Steen and Hong, Mingyi and Akcakaya, Mehmet}, editor = {null} }