Zhiguo Gui

Restormer: Efficient Transformer for High-Resolution Image Restoration

Development of metaverse for intelligent healthcare

The evolution of image reconstruction for CT—from filtered back projection to artificial intelligence

MaskMitosis: a deep learning framework for fully supervised, weakly supervised, and unsupervised mitosis detection in histopathology images

Stabilizing deep tomographic reconstruction: Part B. Convergence analysis and adversarial attacks

Preparing Medical Imaging Data for Machine Learning

Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions

Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

Soft Tissue Feature Tracking Based on Deep Matching Network

Deep Learning in Selected Cancers’ Image Analysis—A Survey

A Review on State-of-the-Art Power Line Inspection Techniques

Low-Dose CT Image Post-Processing Based on Learn-Type Sparse Transform

Dilated Residual Networks with Symmetric Skip Connection for image denoising

Self-Shattering Defect Detection of Glass Insulators Based on Spatial Features

Automatic and Robust Object Detection in X-Ray Baggage Inspection Using Deep Convolutional Neural Networks

Discriminative Prior - Prior Image Constrained Compressed Sensing Reconstruction for Low-Dose CT Imaging

Automatic Segmentation of Cervical Nuclei Based on Deep Learning and a Conditional Random Field

3D Feature Constrained Reconstruction for Low-Dose CT Imaging

Image Denoising via Sparse Representation Over Grouped Dictionaries With Adaptive Atom Size