Radiology Multi-scale feature aggregation and fusion network with self-supervised multi-level perceptual loss for textures preserving low-dose CT denoising. April 9, 2024
Ophthalmology Deep-learning segmentation method for optical coherence tomography angiography in ophthalmology. October 6, 2023
Cardiology | Radiology A task-unified network with transformer and spatial-temporal convolution for left ventricular quantification. August 19, 2023
Cardiology | Radiology Unsupervised deep consistency learning adaptation network for cardiac cross-modality structural segmentation. July 14, 2023
Radiology Cov-TransNet: Dual branch fusion network with transformer for COVID-19 infection segmentation. November 23, 2022
Neurology | Radiology DCAU-Net: dense convolutional attention U-Net for segmentation of intracranial aneurysm images. March 28, 2022
Pulmonology | Radiology 3D multi-scale deep convolutional neural networks for pulmonary nodule detection. January 7, 2021