R. A. Gonzales

发表

Valvular imaging in the era of feature‐tracking: A slice‐following cardiac MR sequence to measure mitral flow

D. Peters, M. Qiu, E. Heiberg, 2019, Journal of magnetic resonance imaging : JMRI.

Assessment of diastolic function and atrial remodeling by MRI – validation and correlation with echocardiography and filling pressure

D. Peters, L. Sugeng, Judith L. Meadows, 2018, Physiological reports.

Artificial Intelligence for Contrast-Free MRI: Scar Assessment in Myocardial Infarction Using Deep Learning–Based Virtual Native Enhancement

Iulia A. Popescu, S. Piechnik, Qiang Zhang, 2022, Circulation.

TVnet: Automated Time-Resolved Tracking of the Tricuspid Valve Plane in MRI Long-Axis Cine Images with a Dual-Stage Deep Learning Pipeline

Einar Heiberg, John A. Onofrey, Dana C. Peters, 2021, MICCAI.

Automated Measurements of Mitral and Tricuspid Annular Dimensions in Cardiovascular Magnetic Resonance

D. Peters, E. Heiberg, F. Seemann, 2022, 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI).

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

John A. Onofrey, D. Atar, D. Peters, 2021, Journal of Cardiovascular Magnetic Resonance.

Automated left atrial time-resolved segmentation in MRI long-axis cine images using active contours

Einar Heiberg, Dana C. Peters, Felicia Seemann, 2021, BMC Medical Imaging.

Deep neural network ensemble for on-the-fly quality control-driven segmentation of cardiac MRI T1 mapping

Stefan K. Piechnik, Stefan Neubauer, Qiang Zhang, 2021, Medical Image Anal..

MOCOnet: Robust Motion Correction of Cardiovascular Magnetic Resonance T1 Mapping Using Convolutional Neural Networks

Iulia A. Popescu, S. Piechnik, K. Werys, 2021, Frontiers in Cardiovascular Medicine.

Ensemble of Deep Convolutional Neural Networks with Monte Carlo Dropout Sampling for Automated Image Segmentation Quality Control and Robust Deep Learning Using Small Datasets

Stefan K. Piechnik, Qiang Zhang, Evan Hann, 2021, MIUA.

Quality control-driven deep ensemble for accountable automated segmentation of cardiac magnetic resonance LGE and VNE images

Iulia A. Popescu, S. Piechnik, V. Ferreira, 2023, Frontiers in Cardiovascular Medicine.