Rethinking Feature Guidance for Medical Image Segmentation.

From Spatial to Frequency Domain: A Pure Frequency Domain FDNet Model for the Classification of Remote Sensing Images.

CF-GCN: Graph Convolutional Network for Change Detection in Remote Sensing Images.

AFPF-Net: Adjacent-Level Feature Progressive Fusion Full Convolutional Network for Remote Sensing Change Detection.

A Boundary Guided Cross Fusion Approach for Remote Sensing Image Segmentation.

DFE-IANet: A Method for Polyp Image Classification Based on Dual-domain Feature Extraction and Interaction Attention.

Frequency and spatial based multi-layer context network (FSCNet) for remote sensing scene classification.

PHCU-Net: A parallel hierarchical cascade U-Net for skin lesion segmentation.

BFRNet: Bidimensional Feature Representation Network for Remote Sensing Images Classification.

A CBAM Based Multiscale Transformer Fusion Approach for Remote Sensing Image Change Detection.

A ViT-Based Multiscale Feature Fusion Approach for Remote Sensing Image Segmentation.

A COVID-19 CXR image recognition method based on MSA-DDCovidNet.

Detecting COVID-19 patients via MLES-Net deep learning models from X-Ray images.

JCOGIN: a programming framework for particle transport on combinatorial geometry.

Detecting COVID-19 Patients in X-Ray Images Based on MAI-Nets.

Using CFW-Net Deep Learning Models for X-Ray Images to Detect COVID-19 Patients.

Detecting COVID-19 in Chest X-Ray Images via MCFF-Net.

Medical Image Classification Based on Information Interaction Perception Mechanism.

D2-CovidNet: A Deep Learning Model for COVID-19 Detection in Chest X-Ray Images.

A Novel Image Classification Approach via Dense-MobileNet Models.

Woodland Labeling in Chenzhou, China, via Deep Learning Approach.

High-Resolution Radar Target Recognition via Inception-Based VGG (IVGG) Networks.

Image Target Recognition via Mixed Feature-Based Joint Sparse Representation.

A New Image Classification Approach via Improved MobileNet Models with Local Receptive Field Expansion in Shallow Layers.

An improved deep learning approach and its applications on colonic polyp images detection.

An Advanced Deep Residual Dense Network (DRDN) Approach for Image Super-Resolution.

Image Object Recognition via Deep Feature-Based Adaptive Joint Sparse Representation.

自适应加权特征字典与联合稀疏相结合的遥感目标检测 (Remote Sensing Targets Detection Based on Adaptive Weighting Feature Dictionaries and Joint Sparse).