Chuan Zhou

Orcid: 0000-0001-7700-7188

Affiliations:

University of Electronic Science and Technology of China, Chengdu, Sichuan, China

According to our database¹, Chuan Zhou authored at least 36 papers between 2018 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

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In proceedings

Article

PhD thesis

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Other

Bibliography

2024

Weighted Graph-Structured Semantics Constraint Network for Cross-Modal Retrieval.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2024

Adaptive attribute distribution similarity for few-shot learning.

[BibT_eX]

[DOI]

Image Vis. Comput., 2024

2023

Visual prior-based cross-modal alignment network for radiology report generation.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, November, 2023

Model long-range dependencies for multi-modality and multi-view retinopathy diagnosis through transformers.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2023

2022

Deep Active Autoencoders for Outlier Detection.

[BibT_eX]

[DOI]

Neural Process. Lett., 2022

Pixel-wise triplet learning for enhancing boundary discrimination in medical image segmentation.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

FLeak-Seg: Automated Fundus Fluorescein Leakage Segmentation via Cross-Modal Attention Learning.

[BibT_eX]

[DOI]

IEEE Multim., 2022

Semi-supervised cross-modal retrieval with graph-based semantic alignment network.

[BibT_eX]

[DOI]

Comput. Electr. Eng., 2022

Semi-supervised constrained graph convolutional network for cross-modal retrieval.

[BibT_eX]

[DOI]

Comput. Electr. Eng., 2022

Domain Adaptation for Medical Image Classification without Source Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Few-shot Learning Framework Based on Adaptive Subspace for Skin Disease Classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Pre-MocoDiagnosis: Few-Shot Ophthalmic Diseases Recognition using Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

Multi-object Spatial-Temporal Anomaly Detection Using an LSTM-Based Framework.

[BibT_eX]

[DOI]

Neural Process. Lett., 2021

Rethinking pre-training on medical imaging.

[BibT_eX]

[DOI]

J. Vis. Commun. Image Represent., 2021

Towards better semantic consistency of 2D medical image segmentation.

[BibT_eX]

[DOI]

J. Vis. Commun. Image Represent., 2021

Exploring Graph-Structured Semantics for Cross-Modal Retrieval.

[BibT_eX]

[DOI]

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Towards Efficient Medical Image Segmentation Via Boundary-Guided Knowledge Distillation.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Let's Find Fluorescein: Cross-Modal Dual Attention Learning For Fluorescein Leakage Segmentation In Fundus Fluorescein Angiography.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Non-Local Attention Learning for Medical Image Classification.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Cross-Modal Guidance for Hyperfluorescence Segmentation in Fundus Fluorescein Angiography.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Enhancing Medical Image Classification via Augmentation-based Pre-training.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Automatic Report Generation based on Multi-modal and Multi-view Model for Fundus Images.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Medical Frequency Domain Learning: Consider Inter-class and Intra-class Frequency for Medical Image Segmentation and Classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Automatic Medical Lesion Annotation via Feature Fusion Correlation Network.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

Semi-supervised cross-modal representation learning with GAN-based Asymmetric Transfer Network.

[BibT_eX]

[DOI]

J. Vis. Commun. Image Represent., 2020

Automatic Detection Of Pathological Myopia And High Myopia On Fundus Images.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Enhancing Tiny Tissues Segmentation via Self-Distillation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

On Automatic Detection of Central Serous Chorioretinopathy and Central Exudative Chorioretinopathy in Fundus Images.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Symptom and Pathology Report Generation for Ophthalmic Diseases in Fundus Images.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

On the Deep Learning-based Age Prediction of Color Fundus Images and Correlation with Ophthalmic Diseases.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

An Efficient Weakly-Supervised Learning Method for Optic Disc Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

On the Effective Transfer Learning Strategy for Medical Image Analysis in Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

SEAUNet: Domain Adaptation for Biomedical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Attention Based Detection for Central Serious Chorioretinopathy in Fundus Image.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

Weakly Supervised Learning of Recurrent Residual ConvNets for Pancreas Segmentation in CT Scans.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018

Parameter k search strategy in outlier detection.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2018

Chuan Zhou

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