Isovolumic relaxation time and e' metrics evaluated by deep-learning analysis of long-axis cine: correlations to atrial pressure and fibrosis by Peters, D, Lamy, J, Seemann, F, Heiberg, E, Gonzales, RA

Automated measurements of mitral and tricuspid annular dimensions in cardiovascular magnetic resonance by Gonzales, RA, Lamy, J, Seemann, F, Heiberg, E, Peters, DC

Towards 2D phase-contrast of tricuspid valve flow by Lamy, J, Seemann, F, Gonzales, RA, Heiberg, E, Peters, DC

Automated tracking of the tricuspid valve plane in long-axis cine images with a 2-step deep learning pipeline by Gonzales, RA, Lamy, J, Seemann, F, Heiberg, E, Onofrey, J, Peters, DC

Time-resolved tracking of the atrioventricular plane displacement in long-axis cine images with residual neural networks by Gonzales, RA, Onofrey, J, Lamy, J, Seemann, F, Heiberg, E, Peters, DC

2.5D flow MRI of tricuspid valvular flow: an accurate automated valve-following phase-contrast approach by Lamy, J, Seemann, F, Gonzales, RA, Xiang, J, Heiberg, E, Peters, DC

Automatic left atrial time-resolved segmentation in CMR long-axis cine images via active contours by Gonzales, RA, Seemann, F, Arvidsson, PM, Murray, V, Heiberg, E, Peters, DC

TVnet: automated time-resolved tracking of the tricuspid valve plane in MRI long-axis cine images with a dual-stage deep learning pipeline by Gonzales, RA, Lamy, J, Seemann, F, Heiberg, E, Onofrey, JA, Peters, DC

Automated left atrial time-resolved segmentation in MRI long-axis cine images using active contours by Gonzales, RA, Seemann, F, Lamy, J, Arvidsson, PM, Heiberg, E, Murray, V, Peters, DC

Pilot study of mitral flow using feature-tracking enabled slice-following phase contrast by Seemann, F, Heiberg, E, Carlsson, M, Gonzales, RA, Baldassarre, LA, Qiu, M, Peters, DC

Valvular imaging in the era of feature‐tracking: A slice‐following cardiac MR sequence to measure mitral flow by Seemann, F, Heiberg, E, Carlsson, M, Gonzales, RA, Baldassarre, LA, Qiu, M, Peters, DC

2.5D Flow MRI: 2D phase-contrast of the tricuspid valvular flow with automated valve-tracking by Lamy, J, Xiang, J, Seemann, F, Gonzales, RA, Huber, S, Steele, J, Heiberg, E, Peters, DC

Tricuspid valve flow measurement using a deep learning framework for automated valve‐tracking 2D phase contrast by Lamy, J, Gonzales, RA, Xiang, J, Seemann, F, Huber, S, Steele, J, Wieben, O, Heiberg, E, Peters, DC

Deep learning for automated insertion point annotation of CMR late gadolinium enhancement and virtual native enhancement images by Gonzales, RA, Zhang, Q, Burrage, MK, Altun, İ, Heiberg, E, Peters, DC, Neubauer, S, Ferreira, VM, Piechnik, SK

TVnet: automated global analysis of tricuspid valve plane motion in CMR long-axis cines with residual neural networks for assessment of right ventricular function by Gonzales, RA, Lamy, J, Thomas, KE, Zhang, Q, Shanmuganathan, M, Heiberg, E, Ferreira, VM, Piechnik, SK, Peters, DC

Automated CMR index of left ventricular diastolic function (e'): a validation study against echocardiography in the large-scale Beta3-LVH trial by Gonzales, RA, Arvidsson, PM, Lukaschuk, E, Balligand, J-L, Heiberg, E, Peters, DC, Zhang, Q, Ferreira, VM, Piechnik, SK

TVnet: a deep-learning approach for enhanced right ventricular function analysis through tricuspid valve motion tracking by Gonzales, RA, Lamy, J, Thomas, KE, Yiu, K, Zhang, Q, Shanmuganathan, M, Heiberg, E, Ferreira, VM, Piechnik, SK, Peters, DC

Assessment of diastolic function and atrial remodeling by MRI - validation and correlation with echocardiography and filling pressure by Seemann, F, Baldassarre, LA, Llanos-Chea, F, Gonzales, RA, Grunseich, K, Hu, C, Sugeng, L, Meadows, J, Heiberg, E, Peters, DC

Automated CMR index of left ventricular diastolic function post-acute myocardial infarction provides independent and incremental prediction of long-term prognosis when added to con... by Shanmuganathan, M, Gonzales, RA, Burrage, M, Arvidsson, P, Banerjee, A, Çakir, I, Seemann, F, Heiberg, E, Peters, D, Zhang, Q, Channon, K, Piechnik, S, Ferreira, V

MVnet: automated time-resolved tracking of the mitral valve plane in CMR long-axis cine images with residual neural networks: a multi-center, multi-vendor study by Gonzales, RA, Seemann, F, Lamy, J, Mojibian, H, Atar, D, Erlinge, D, Steding-Ehrenborg, K, Arheden, H, Hu, C, Onofrey, JA, Peters, DC, Heiberg, E