Pattern Recognition and Computer Vision

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