Biomedical Image Processing and Analysis
ED-AnoNet: Elastic Distortion-Based Unsupervised Network for OCT Image Anomaly Detection
BiDFNet: Bi-decoder and Feedback Network for Automatic Polyp Segmentation with Vision Transformers
FundusGAN: A One-Stage Single Input GAN for Fundus Synthesis
DIT-NET: Joint Deformable Network and Intra-class Transfer GAN for cross-domain 3D Neonatal Brain MRI segmentation
Classification of sMRI Images for Alzheimer's Disease by Using Neural Networks
Semi-Supervised Distillation Learning Based on Swin Transformer for MRI Reconstruction
Multi-Scale Multi-Target Domain Adaptation for Angle Closure Classification
Automatic glottis segmentation method based on lightweight U-net
Decouple U-Net: A Method for the Segmentation and Counting of Macrophages in Whole Slide Imaging
A Zero-training Method for RSVP-based Brain Computer Interface
An improved tensor network for image classification in histopathology
DeepEnReg: Joint Enhancement and Ane Registration for Low-contrast Medical Images
Fluorescence Microscopy Images Segmentation based on Prototypical Networks with a few Annotations
SuperVessel: Segmenting High-resolution Vessel from Low-resolution Retinal Image
Cascade Multiscale Swin-Conv Network for Fast MRI Reconstruction
DEST: Deep Enhanced Swin Transformer toward Better Scoring for NAFLD
CTCNet: A Bi-directional Cascaded Segmentation Network Combining Transformers with CNNs for Skin Lesions
MR Image Denoising Based On Improved Multipath Matching Pursuit Algorithm
Statistical characteristics of 3-D PET imaging: a comparison between conventional and total-body PET scanners
Unsupervised medical image registration based on multi-scale cascade network
A Novel Local-global Spatial Attention Network for Cortical Cataract Classification in AS-OCT
PRGAN: A Progressive Refined GAN for Lesion Localization and Segmentation on High-Resolution Retinal fundus Photography
Multiscale Autoencoder with Structural-Functional Attention Network for Alzheimer's Disease Prediction
Robust Liver Segmentation Using Boundary Preserving Dual Attention Network
msFormer: Adaptive Multi-Modality 3D Transformer for Medical Image Segmentation
Semi-supervised Medical Image Segmentation with Semantic Distance Distribution Consistency Learning
MultiGAN: multi-domain image translation from OCT to OCTA_ TransPND: A Transformer based Pulmonary Nodule Diagnosis Method on CT Image
Adversarial Learning Based Structural Brain-network Generative Model for Analyzing Mild Cognitive Impairment
A 2.5D Coarse-to-fine Framework for 3D Cardiac CT View Planning
Weakly Supervised Semantic Segmentation of Echocardiography Videos via Multi-level Features Selection
DPformer: Dual-path transformers for geometric and appearance features reasoning in diabetic retinopathy grading
Deep Supervoxel Mapping Learning for Dense Correspondence of Cone-Beam Computed Tomography
Manifold-Driven and Feature Replay Lifelong Representation Learning on Person ReID
Multi-source information-shared domain adaptation for EEG emotion recognition
Spatial-Channel Mixed Attention based Network for Remote Heart Rate Estimation
Weighted Graph Based Feature Representation for Finger-Vein Recognition
Self-Supervised Face Anti-Spoofng via Anti-Contrastive Learning
Counterfactual Image Enhancement for Explanation of Face Swap Deepfakes
Improving Pre-trained Masked Autoencoder with Locality Enhancement for Person Re-identification
MINIPI : a MultI-scale Neural network based impulse radio ultra-wideband radar Indoor Personnel Identification method
PSU-Net: Paired Spatial U-Net for hand segmentation with complex backgrounds
Pattern Classification and Clustering
Human Knowledge-Guided and Task-Augmented Deep Learning for Glioma Grading
Learning to Cluster Faces with Mixed Face Quality
Capturing Prior Knowledge in Soft Labels for Classification with Limited or Imbalanced Data
Coupled Learning for Kernel Representation and Graph Tensor in Multi-view Subspace Clustering
Combating Noisy Labels via Contrastive Learning with Challenging Pairs
Semantic Center Guided Windows Attention Fusion Framework for Food Recognition
Adversarial Bidirectional Feature Generation for Generalized Zero-Shot Learning under Unreliable Semantics
Exploiting Robust Memory Features for Unsupervised Reidentification
TIR: A Two-stage Insect Recognition method for convolutional neural network
Discerning Coteaching: A Deep Framework for Automatic Identification of Noise Labels
VDSSA: Ventral & Dorsal Sequential Self-attention AutoEncoder for Cognitive-Consistency Disentanglement
Bayesian Neural Networks with Covariate Shift Correction for Classification in -ray Astrophysics.