El. knyga: Pattern Recognition and Computer Vision: 5th Chinese Conference, PRCV 2022, Shenzhen, China, November 4-7, 2022, Proceedings, Part II

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 Videosvia Multi-level
Features Selection.- DPformer: Dual-path transformers forgeometric and
appearancefeatures 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.