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Radiology Unsupervised deep learning with convolutional neural networks for static parallel transmit design: A retrospective study. January 22, 2024
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Medical Imaging | Radiology Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging: Combining physics and machine learning for improved medical imaging. June 12, 2023
Cardiology | Radiology High-fidelity Database-free Deep Learning Reconstruction for Real-time Cine Cardiac MRI. February 24, 2023
Biomedical imaging | Neuroscience Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement: An overview from a signal processing perspective. October 3, 2022
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
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