Xiaoqing Zhang
Orcid: 0000-0002-8114-7121Affiliations:
- 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:
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Bibliography
2024
Vis. Comput. Ind. Biomed. Art, December, 2024
Pattern Recognit., March, 2024
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
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
CoRR, 2023
GlanceSeg: Real-time microaneurysm lesion segmentation with gaze-map-guided foundation model for early detection of diabetic retinopathy.
CoRR, 2023
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
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
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
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
Proceedings of the 17th International Conference on Digital Preservation, 2021
Proceedings of the Neural Information Processing - 28th International Conference, 2021
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
Proceedings of the Artificial Intelligence and Security - 6th International Conference, 2020
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