Learning Controllable Degradation for Real-World Super-Resolution via Constrained Flows

Two-stage learning-based prediction of bronchopulmonary dysplasia in very low birth weight infants: a nationwide cohort study

Meta-Learning for Adaptation of Deep Optical Flow Networks

Enriched CNN-Transformer Feature Aggregation Networks for Super-Resolution

Detection of acute thoracic aortic dissection based on plain chest radiography and a residual neural network (Resnet)

Test-Time Adaptation for Video Frame Interpolation via Meta-Learning

NoiseTransfer: Image Noise Generation with Contrastive Embeddings

Feasibility of the Machine Learning Network to Diagnose Tympanic Membrane Lesions without Coding Experience

Position Classification of the Endotracheal Tube with Automatic Segmentation of the Trachea and the Tube on Plain Chest Radiography Using Deep Convolutional Neural Network

Development of artificial neural networks for early prediction of intestinal perforation in preterm infants