Neurology | Radiology Multi-contrast high-field quality image synthesis for portable low-field MRI using generative adversarial networks and paired data. January 18, 2024
Neurology | Radiology Pseudo-Label Assisted nnU-Net enables automatic segmentation of 7T MRI from a single acquisition. December 18, 2023
Radiology A Deep Learning Based Anti-aliasing Self Super-resolution Algorithm for MRI. November 28, 2023
Neurology | Radiology Logistic Regression-Based Model Is More Efficient Than U-Net Model for Reliable Whole Brain Magnetic Resonance Imaging Segmentation. June 29, 2022
Neurology | Radiology Multiple sclerosis cortical lesion detection with deep learning at ultra-high-field MRI. March 17, 2022
Neurology | Radiology Progressive multifocal leukoencephalopathy lesion and brain parenchymal segmentation from MRI using serial deep convolutional neural networks. January 5, 2021
Radiology SMORE: A Self-supervised Anti-aliasing and Super-resolution Algorithm for MRI Using Deep Learning. November 10, 2020
Neurology | Radiology RimNet: A deep 3D multimodal MRI architecture for paramagnetic rim lesion assessment in multiple sclerosis. September 22, 2020
Neurology | Radiology CVSnet: A machine learning approach for automated central vein sign assessment in multiple sclerosis. March 3, 2020
Neurology | Radiology Open-source pipeline for multi-class segmentation of the spinal cord with deep learning. April 29, 2019