Xiaoqing Zhang

Orcid: 0000-0002-8114-7121

Affiliations:
  • Southern University of Science and Technology, Department of Computer Science and Engineering, Research Institute of Trustworthy Autonomous Systems, Shenzhen, China (PhD 2023)
  • Zhengzhou University, Collaborative Innovation Center for Internet Healthcare, Zhengzhou, China (until 2019)


According to our database1, Xiaoqing Zhang authored at least 40 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Medical image registration and its application in retinal images: a review.
Vis. Comput. Ind. Biomed. Art, December, 2024

Regional context-based recalibration network for cataract recognition in AS-OCT.
Pattern Recognit., March, 2024

An Identity-Preserved Framework for Human Motion Transfer.
IEEE Trans. Inf. Forensics Secur., 2024

DCAMIL: Eye-tracking guided dual-cross-attention multi-instance learning for refining fundus disease detection.
Expert Syst. Appl., 2024

MM-UNet: A Mixed MLP Architecture for Improved Ophthalmic Image Segmentation.
CoRR, 2024

Multi-style spatial attention module for cortical cataract classification in AS-OCT image with supervised contrastive learning.
Comput. Methods Programs Biomed., 2024

Wavelet-based selection-and-recalibration network for Parkinson's disease screening in OCT images.
Comput. Methods Programs Biomed., 2024

Mixed-decomposed convolutional network: A lightweight yet efficient convolutional neural network for ocular disease recognition.
CAAI Trans. Intell. Technol., 2024

Efficient pyramid channel attention network for pathological myopia recognition with pretraining-and-finetuning.
Artif. Intell. Medicine, 2024

2023
CGBA-Net: context-guided bidirectional attention network for surgical instrument segmentation.
Int. J. Comput. Assist. Radiol. Surg., October, 2023

HA-Net: Hierarchical Attention Network Based on Multi-Task Learning for Ciliary Muscle Segmentation in AS-OCT.
IEEE Signal Process. Lett., 2023

VSR-Net: Vessel-like Structure Rehabilitation Network with Graph Clustering.
CoRR, 2023

GlanceSeg: Real-time microaneurysm lesion segmentation with gaze-map-guided foundation model for early detection of diabetic retinopathy.
CoRR, 2023

Efficient Pyramid Channel Attention Network for Pathological Myopia Detection.
CoRR, 2023

Eye tracking guided deep multiple instance learning with dual cross-attention for fundus disease detection.
CoRR, 2023

PPCR: Learning Pyramid Pixel Context Recalibration Module for Medical Image Classification.
CoRR, 2023

Structure-Oriented Transformer for retinal diseases grading from OCT images.
Comput. Biol. Medicine, 2023

Deep metric learning with mirror attention and fine triplet loss for fundus image retrieval in ophthalmology.
Biomed. Signal Process. Control., 2023

DMINet: A lightweight dual-mixed channel-independent network for cataract recognition.
Proceedings of the International Joint Conference on Neural Networks, 2023

Oct Image Blind Despeckling Based on Gradient Guided Filter with Speckle Statistical Prior.
Proceedings of the IEEE International Conference on Acoustics, 2023

Prior-SSL: A Thickness Distribution Prior and Uncertainty Guided Semi-supervised Learning Method for Choroidal Segmentation in OCT Images.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023

2022
Attention to region: Region-based integration-and-recalibration networks for nuclear cataract classification using AS-OCT images.
Medical Image Anal., 2022

CCA-Net: Clinical-awareness attention network for nuclear cataract classification in AS-OCT.
Knowl. Based Syst., 2022

RANet: Network intrusion detection with group-gating convolutional neural network.
J. Netw. Comput. Appl., 2022

Adaptive feature squeeze network for nuclear cataract classification in AS-OCT image.
J. Biomed. Informatics, 2022

Machine Learning for Cataract Classification/Grading on Ophthalmic Imaging Modalities: A Survey.
Int. J. Autom. Comput., 2022

Mixed pyramid attention network for nuclear cataract classification based on anterior segment OCT images.
Health Inf. Sci. Syst., 2022

A Novel Local-Global Spatial Attention Network for Cortical Cataract Classification in AS-OCT.
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

Interaction-Oriented Feature Decomposition for Medical Image Lesion Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Channel-Wise and Spatial Feature Recalibration Network for Nuclear Cataract Classification.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

2021
Cultural Heritage Preservation using Multimedia and AI.
Proceedings of the 17th International Conference on Digital Preservation, 2021

Gated Channel Attention Network for Cataract Classification on AS-OCT Image.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Multimedia Meets Archaeology: A Novel Interdisciplinary Teaching Approach.
Proceedings of the IEEE Frontiers in Education Conference, 2021

2020
Machine Learning for Cataract Classification and Grading on Ophthalmic Imaging Modalities: A Survey.
CoRR, 2020

Harmonic Loss Function for Sensor-Based Human Activity Recognition Based on LSTM Recurrent Neural Networks.
IEEE Access, 2020

A Novel Deep Learning Method for Nuclear Cataract Classification Based on Anterior Segment Optical Coherence Tomography Images.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Probabilistic Latent Factor Model for Collaborative Filtering with Bayesian Inference.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Multilayer Perceptron Based on Joint Training for Predicting Popularity.
Proceedings of the Artificial Intelligence and Security - 6th International Conference, 2020

Attention-based Saliency Hashing for Ophthalmic Image Retrieval.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2018
LiteNet: Lightweight Neural Network for Detecting Arrhythmias at Resource-Constrained Mobile Devices.
Sensors, 2018


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