A Novel Edge-Enhanced Networks for Optic Disc and Optic Cup Segmentation.

Multi-scale dual-attention frequency fusion for joint segmentation and deformable medical image registration.

Deformable image registration with high-dimensional map constraint and alignment-synthesis enhancement feature fusion.

MCAM-Net: A non-iterative multi-scale coarse-to-fine registration network combined with adaptive morphology for deformable image registration.

Efficient Brain Tumor Segmentation with Lightweight Separable Spatial Convolutional Network.

RClaNet: An Explainable Alzheimer's Disease Diagnosis Framework by Joint Registration and Classification.

MV-STCNet: Breast cancer diagnosis using spatial and temporal dual-attention guided classification network based on multi-view ultrasound videos.

Dual-Attention Frequency Fusion at Multi-Scale for Joint Segmentation and Deformable Medical Image Registration.

Deformable Image Registration with Multi-scale Feature Fusion from Shared Encoder, Auxiliary and Pyramid Decoders.

IMFF-Net: An integrated multi-scale feature fusion network for accurate retinal vessel segmentation from fundus images.

The Successive Next Network as Augmented Regularization for Deformable Brain MR Image Registration.

Deep convolutional neural networks for bias field correction of brain magnetic resonance images.

ECG_SegNet: An ECG delineation model based on the encoder-decoder structure.

MR brain segmentation based on DE-ResUnet combining texture features and background knowledge.

An intelligent cloud computing of trunk logistics alliance based on blockchain and big data.

Exponential-Distance Weights for Reducing Grid-like Artifacts in Patch-Based Medical Image Registration.

Denoising of 3D Brain MR Images with Parallel Residual Learning of Convolutional Neural Network Using Global and Local Feature Extraction.

Brain Deformable Registration Using Global and Local Label-Driven Deep Regression Learning in the First Year of Life.

Bias Correction of Multiple MRI Images Based on an Improved Nonparametric Maximum Likelihood Method.

A Visual Secret Sharing Scheme Based on Improved Local Binary Pattern.

Improved nearest neighbor interpolators based on confidence region in medical image registration.