Radiology Unsupervised deep learning with convolutional neural networks for static parallel transmit design: A retrospective study. January 22, 2024
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 Mitigating transmit-B artifacts by predicting parallel transmission images with deep learning: A feasibility study using high-resolution whole-brain diffusion at 7 Tesla. April 11, 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 Self-supervised learning of physics-guided reconstruction neural networks without fully sampled reference data. July 2, 2020
Radiology Fast GPU Implementation of a Scan-Specific Deep Learning Reconstruction for Accelerated Magnetic Resonance Imaging. January 1, 2020
Radiology Scan-specific robust artificial-neural-networks for k-space interpolation (RAKI) reconstruction: Database-free deep learning for fast imaging. May 17, 2019