Dataset Groups Activity Stream Recurrent Inference Machines as inverse problem solvers for MR relaxometry A new framework for MR relaxometry using Recurrent Inference Machines (RIMs) to perform T1 and T2 mapping. BibTex: @dataset{E_R_Sabidussia_and_S_Kleina_and_M_W_A_Caanb_and_S_Bazrafkanc_and_A_J_den_Dekker_and_J_Sijbers_and_W_J_Niessena_and_D_H_J_Poota_2024, abstract = {A new framework for MR relaxometry using Recurrent Inference Machines (RIMs) to perform T1 and T2 mapping.}, author = {E. R. Sabidussia and S. Kleina and M. W. A. Caanb and S. Bazrafkanc and A. J. den Dekker and J. Sijbers and W. J. Niessena and D. H. J. Poota}, doi = {10.57702/efhl5elq}, institution = {No Organization}, keyword = {'Deep learning', 'MR relaxometry', 'Recurrent inference machines', 'T1 mapping', 'T2 mapping'}, month = {dec}, publisher = {TIB}, title = {Recurrent Inference Machines as inverse problem solvers for MR relaxometry}, url = {https://service.tib.eu/ldmservice/dataset/recurrent-inference-machines-as-inverse-problem-solvers-for-mr-relaxometry}, year = {2024} }
