Cardiology | Radiology Large-scale 3D non-Cartesian coronary MRI reconstruction using distributed memory-efficient physics-guided deep learning with limited training data. May 14, 2024
Cardiology | Radiology Signal intensity informed multi-coil encoding operator for physics-guided deep learning reconstruction of highly accelerated myocardial perfusion CMR. September 21, 2022
Radiology Signal-Intensity Informed Multi-Coil MRI Encoding Operator for Improved Physics-Guided Deep Learning Reconstruction of Dynamic Contrast-Enhanced MRI. September 10, 2022
Radiology Revisiting [Formula: see text]-wavelet compressed-sensing MRI in the era of deep learning. August 8, 2022
Radiology Residual RAKI: A Hybrid Linear and Non-Linear Approach for Scan-Specific k-space Deep Learning. April 29, 2022
Neurology | Radiology 20-fold Accelerated 7T fMRI Using Referenceless Self-Supervised Deep Learning Reconstruction. December 11, 2021
Medical Imaging | Radiology Compressed Sensing MRI with ℓ-Wavelet Reconstruction Revisited Using Modern Data Science Tools. December 11, 2021
Radiology Dense Recurrent Neural Networks for Accelerated MRI: History-Cognizant Unrolling of Optimization Algorithms. March 22, 2021
Radiology High-Fidelity Accelerated MRI Reconstruction by Scan-Specific Fine-Tuning of Physics-Based Neural Networks. October 6, 2020
Radiology Self-supervised learning of physics-guided reconstruction neural networks without fully sampled reference data. July 2, 2020
Cardiology | Radiology ACCELERATED CORONARY MRI USING 3D SPIRIT-RAKI WITH SPARSITY REGULARIZATION. January 1, 2020