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 35 papers between 2018 and 2024.

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

Timeline

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Bibliography

2024
Weighted Graph-Structured Semantics Constraint Network for Cross-Modal Retrieval.
IEEE Trans. Multim., 2024

2023
Visual prior-based cross-modal alignment network for radiology report generation.
Comput. Biol. Medicine, November, 2023

Model long-range dependencies for multi-modality and multi-view retinopathy diagnosis through transformers.
Knowl. Based Syst., 2023

2022
Deep Active Autoencoders for Outlier Detection.
Neural Process. Lett., 2022

Pixel-wise triplet learning for enhancing boundary discrimination in medical image segmentation.
Knowl. Based Syst., 2022

FLeak-Seg: Automated Fundus Fluorescein Leakage Segmentation via Cross-Modal Attention Learning.
IEEE Multim., 2022

Semi-supervised cross-modal retrieval with graph-based semantic alignment network.
Comput. Electr. Eng., 2022

Semi-supervised constrained graph convolutional network for cross-modal retrieval.
Comput. Electr. Eng., 2022

Domain Adaptation for Medical Image Classification without Source Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Few-shot Learning Framework Based on Adaptive Subspace for Skin Disease Classification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Pre-MocoDiagnosis: Few-Shot Ophthalmic Diseases Recognition using Contrastive Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Multi-object Spatial-Temporal Anomaly Detection Using an LSTM-Based Framework.
Neural Process. Lett., 2021

Rethinking pre-training on medical imaging.
J. Vis. Commun. Image Represent., 2021

Towards better semantic consistency of 2D medical image segmentation.
J. Vis. Commun. Image Represent., 2021

Exploring Graph-Structured Semantics for Cross-Modal Retrieval.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Towards Efficient Medical Image Segmentation Via Boundary-Guided Knowledge Distillation.
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.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Non-Local Attention Learning for Medical Image Classification.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Cross-Modal Guidance for Hyperfluorescence Segmentation in Fundus Fluorescein Angiography.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Enhancing Medical Image Classification via Augmentation-based Pre-training.
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.
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.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Automatic Medical Lesion Annotation via Feature Fusion Correlation Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
Semi-supervised cross-modal representation learning with GAN-based Asymmetric Transfer Network.
J. Vis. Commun. Image Represent., 2020

Automatic Detection Of Pathological Myopia And High Myopia On Fundus Images.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Enhancing Tiny Tissues Segmentation via Self-Distillation.
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.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Symptom and Pathology Report Generation for Ophthalmic Diseases in Fundus Images.
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.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

An Efficient Weakly-Supervised Learning Method for Optic Disc Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

On the Effective Transfer Learning Strategy for Medical Image Analysis in Deep Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

SEAUNet: Domain Adaptation for Biomedical Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Attention Based Detection for Central Serious Chorioretinopathy in Fundus Image.
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.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
Parameter k search strategy in outlier detection.
Pattern Recognit. Lett., 2018


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