Hulin Kuang

Orcid: 0000-0001-7341-9871

According to our database1, Hulin Kuang authored at least 44 papers between 2012 and 2025.

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Bibliography

2025
Asymmetric patch sampling for contrastive learning.
Pattern Recognit., 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

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

Exploring Contextual Relationships for Cervical Abnormal Cell Detection.
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

A Fully Automated CT-Guided Learning for Survival Prediction of Esophageal Cancer.
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

Improving Medical Image Denoising via a Lightweight Plug-and-play Module.
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

MVSF: Multi-View Signature Fusion Network for Noninvasively Predicting Ki67 Status.
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

BEA-SegNet: Body and Edge Aware Network for Medical Image Segmentation.
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

An Adaptive Method for Image Dynamic Range Adjustment.
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
Bayes Saliency-Based Object Proposal Generator for Nighttime Traffic Images.
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
Fruit classification based on weighted score-level feature fusion.
J. Electronic Imaging, 2016

Combining Region-of-Interest Extraction and Image Enhancement for Nighttime Vehicle Detection.
IEEE Intell. Syst., 2016

2014
MutualCascade method for pedestrian detection.
Neurocomputing, 2014

2012
Float Cascade Method for Pedestrian Detection.
Proceedings of the Emerging Intelligent Computing Technology and Applications, 2012


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