Hulin Kuang
Orcid: 0000-0001-7341-9871
According to our database1,
Hulin Kuang
authored at least 59 papers
between 2012 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
Hybrid region and population hypergraph neural network for mild cognitive impairment detection.
Pattern Recognit., 2026
2025
FedComDist: Towards Effective Personalized Federated Learning for Patient Outcome Prediction Using Multi-Center Electronic Medical Records.
IEEE J. Biomed. Health Informatics, August, 2025
Contrastive Regularization over LoRA for Multimodal Biomedical Image Incremental Learning.
CoRR, August, 2025
CA<sup>2</sup>CL: Cluster-Aware Adversarial Contrastive Learning for Pathological Image Analysis.
IEEE J. Biomed. Health Informatics, July, 2025
Bipartite Patient-Modality Graph Learning with Event-Conditional Modelling of Censoring for Cancer Survival Prediction.
CoRR, July, 2025
MiCo: Multiple Instance Learning with Context-Aware Clustering for Whole Slide Image Analysis.
CoRR, June, 2025
Large vessel occlusion identification network with vessel guidance and asymmetry learning on CT angiography of acute ischemic stroke patients.
Medical Image Anal., 2025
Segmentation-Guided Deep Learning for Glioma Survival Risk Prediction with Multimodal MRI.
Big Data Min. Anal., 2025
HCM-Net: Hybrid CNN and Mamba Network with Multi-scale Awareness Feature Fusion for Lung Cancer Pathological Complete Response Prediction.
Proceedings of the Bioinformatics Research and Applications - 21st International Symposium, 2025
SDMFF: Spatial-Temporal Dual-Pathway Network with Multi-scale Feature Fusion for Parkinson's Disease Diagnosis.
Proceedings of the Bioinformatics Research and Applications - 21st International Symposium, 2025
Proceedings of the Bioinformatics Research and Applications - 21st International Symposium, 2025
A Clinical Knowledge-Driven Fine-Tuning Strategy for Applying Foundation Model to Fully Automatic Acute Ischemic Stroke Lesion Segmentation on Non-Contrast CT Scans.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
ARIG-GCN: Anatomical Relationship and Isomorphic Graph Approximation Guided Graph Convolutional Network for Automated ASPECTS Scoring on Non-Contrast CT.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
2024
Hybrid CNN-Transformer Network With Circular Feature Interaction for Acute Ischemic Stroke Lesion Segmentation on Non-Contrast CT Scans.
IEEE Trans. Medical Imaging, June, 2024
MMGK: Multimodality Multiview Graph Representations and Knowledge Embedding for Mild Cognitive Impairment Diagnosis.
IEEE Trans. Comput. Soc. Syst., February, 2024
Hybrid CNN and Low-Complexity Transformer Network with Attention-Based Feature Fusion for Predicting Lung Cancer Tumor After Neoadjuvant Chemoimmunotherapy.
Proceedings of the Bioinformatics Research and Applications - 20th International Symposium, 2024
Combining CNN and Self-attention-Free Transformer Using Local-Global Attention Fusion for Lung Cancer Segmentation.
Proceedings of the Advanced Intelligent Computing in Bioinformatics, 2024
ViT-Based Multi-task Learning Method for Pulmonary Embolism Detection, Localization, and Type Classification.
Proceedings of the Advanced Intelligent Computing in Bioinformatics, 2024
Local-Global Spatio-Temporal Encoding with Adaptive Brain Region Signal Segmentation for Mild Cognitive Impairment Detection.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
Global Contrastive Learning with High-Quality Data in Large Vision-Language Models for Pathological Question Answering.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
2023
BEA-Net: Body and Edge Aware Network With Multi-Scale Short-Term Concatenation for Medical Image Segmentation.
IEEE J. Biomed. Health Informatics, October, 2023
IEEE J. Biomed. Health Informatics, August, 2023
RBS-Net: Hippocampus segmentation using multi-layer feature learning with the region, boundary and structure loss.
Comput. Biol. Medicine, June, 2023
LGTRL-DE: Local and Global Temporal Representation Learning with Demographic Embedding for in-hospital mortality prediction.
J. Biomed. Informatics, 2023
Multi-modal Multi-kernel Graph Learning for Autism Prediction and Biomarker Discovery.
CoRR, 2023
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
M<sup>3</sup>CI-Net: Multi-Modal MRI-Based Characteristics Inspired Network for IDH Genotyping.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Domain-specific Knowledge Guided Self-supervised Learning for Pathological Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
A Fully Automated Multimodal MRI-Based Multi-Task Learning for Glioma Segmentation and IDH Genotyping.
IEEE Trans. Medical Imaging, 2022
Multimodal Disentangled Variational Autoencoder With Game Theoretic Interpretability for Glioma Grading.
IEEE J. Biomed. Health Informatics, 2022
MLDRL: Multi-loss disentangled representation learning for predicting esophageal cancer response to neoadjuvant chemoradiotherapy using longitudinal CT images.
Medical Image Anal., 2022
DARC: Deep adaptive regularized clustering for histopathological image classification.
Medical Image Anal., 2022
DWT-CV: Dense weight transfer-based cross validation strategy for model selection in biomedical data analysis.
Future Gener. Comput. Syst., 2022
Predicting length of stay in ICU and mortality with temporal dilated separable convolution and context-aware feature fusion.
Comput. Biol. Medicine, 2022
Integrating Multi-scale Feature Representation and Ensemble Learning for Schizophrenia Diagnosis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Attention-based Memory Fusion Network for Clinical Outcome Prediction using Electronic Medical Records.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
EIS-Net: Segmenting early infarct and scoring ASPECTS simultaneously on non-contrast CT of patients with acute ischemic stroke.
Medical Image Anal., 2021
ARSC-Net: Adventitious Respiratory Sound Classification Network Using Parallel Paths with Channel-Spatial Attention.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
MTFIL-Net: automated Alzheimer's disease detection and MMSE score prediction based on feature interactive learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
BITPNet: Unsupervised Bio-Inspired Two-Path Network for Nighttime Traffic Image Enhancement.
IEEE Access, 2020
2019
Feature Selection Based on Tensor Decomposition and Object Proposal for Night-Time Multiclass Vehicle Detection.
IEEE Trans. Syst. Man Cybern. Syst., 2019
IEEE Trans. Circuits Syst. Video Technol., 2019
Automated brain extraction from head CT and CTA images using convex optimization with shape propagation.
Comput. Methods Programs Biomed., 2019
Segmenting Hemorrhagic and Ischemic Infarct Simultaneously From Follow-Up Non-Contrast CT Images in Patients With Acute Ischemic Stroke.
IEEE Access, 2019
Automated Infarct Segmentation from Follow-up Non-Contrast CT Scans in Patients with Acute Ischemic Stroke Using Dense Multi-Path Contextual Generative Adversarial Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
2018
IEEE Trans. Intell. Transp. Syst., 2018
Cascade feature selection and coarse-to-fine mechanism for nighttime multiclass vehicle detection.
J. Electronic Imaging, 2018
Multi-class fruit detection based on image region selection and improved object proposals.
Neurocomputing, 2018
Joint Segmentation of Intracerebral Hemorrhage and Infarct from Non-Contrast CT Images of Post-treatment Acute Ischemic Stroke Patients.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
2017
Nighttime Vehicle Detection Based on Bio-Inspired Image Enhancement and Weighted Score-Level Feature Fusion.
IEEE Trans. Intell. Transp. Syst., 2017
Turn Signal Detection During Nighttime by CNN Detector and Perceptual Hashing Tracking.
IEEE Trans. Intell. Transp. Syst., 2017
2016
J. Electronic Imaging, 2016
Combining Region-of-Interest Extraction and Image Enhancement for Nighttime Vehicle Detection.
IEEE Intell. Syst., 2016
2014
2012
Proceedings of the Emerging Intelligent Computing Technology and Applications, 2012