Hulin Kuang

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 44

Top Topics

Outcome Prediction

Vehicle Detection

Top Venues

IEEE J. Biomed. Health Informatics

Medical Image Anal.

Publications

Jiancun Zhou, Hulin Kuang, Yahui Wang, Jianxin Wang
Hybrid CNN and Low-Complexity Transformer Network with Attention-Based Feature Fusion for Predicting Lung Cancer Tumor After Neoadjuvant Chemoimmunotherapy. ISBRA (1) (2024)
Jin Liu, Hao Du, Rui Guo, Harrison X. Bai, Hulin Kuang, Jianxin Wang
MMGK: Multimodality Multiview Graph Representations and Knowledge Embedding for Mild Cognitive Impairment Diagnosis. IEEE Trans. Comput. Soc. Syst. 11 (1) (2024)
Ammar Nassr Mohammed, Hulin Kuang, Jianxin Wang
ViT-Based Multi-task Learning Method for Pulmonary Embolism Detection, Localization, and Type Classification. ICIC (LNBI 2) (2024)
Hulin Kuang, Yahui Wang, Jin Liu, Jie Wang, Quanliang Cao, Bo Hu, Wu Qiu, Jianxin Wang
Hybrid CNN-Transformer Network With Circular Feature Interaction for Acute Ischemic Stroke Lesion Segmentation on Non-Contrast CT Scans. IEEE Trans. Medical Imaging 43 (6) (2024)
Jiancun Zhou, Hulin Kuang, Yahui Wang, Jianxin Wang
Combining CNN and Self-attention-Free Transformer Using Local-Global Attention Fusion for Lung Cancer Segmentation. ICIC (LNBI 2) (2024)
Yu Chen, Hailin Yue, Hulin Kuang, Jianxin Wang
RBS-Net: Hippocampus segmentation using multi-layer feature learning with the region, boundary and structure loss. Comput. Biol. Medicine 160 (2023)
Mengjie Zou, Ying An, Hulin Kuang, Jianxin Wang
LGTRL-DE: Local and Global Temporal Representation Learning with Demographic Embedding for in-hospital mortality prediction. J. Biomed. Informatics 143 (2023)
Junbin Mao, Jin Liu, Hanhe Lin, Hulin Kuang, Yi Pan
Multi-modal Multi-kernel Graph Learning for Autism Prediction and Biomarker Discovery. CoRR (2023)
Lei Ma, Hulin Kuang, Jin Liu, Chengchao Shen, Jianxin Wang
Improving Medical Image Denoising via a Lightweight Plug-and-play Module. BIBM (2023)
Hailin Yue, Jin Liu, Hulin Kuang, Jianhong Cheng, Junjian Li, Jianxin Wang
A Fully Automated CT-Guided Learning for Survival Prediction of Esophageal Cancer. BIBM (2023)
Jingxiao Yao, Jin Liu, Jianhong Cheng, Hulin Kuang, Jian-Xin Wang
CI-Net: Multi-Modal MRI-Based Characteristics Inspired Network for IDH Genotyping. BIBM (2023)
Chenhui Wang, Hulin Kuang, Jin Liu, Junjian Li, Hailin Yue, Jianxin Wang
Domain-specific Knowledge Guided Self-supervised Learning for Pathological Image Segmentation. BIBM (2023)
Chengchao Shen, Jianzhong Chen, Shu Wang, Hulin Kuang, Jin Liu, Jianxin Wang
Asymmetric Patch Sampling for Contrastive Learning. CoRR (2023)
Hulin Kuang, Yahui Wang, Yixiong Liang, Jin Liu, Jianxin Wang
BEA-Net: Body and Edge Aware Network With Multi-Scale Short-Term Concatenation for Medical Image Segmentation. IEEE J. Biomed. Health Informatics 27 (10) (2023)
Yixiong Liang, Shuo Feng, Qing Liu, Hulin Kuang, Jianfeng Liu, Liyan Liao, Yun Du, Jianxin Wang
Exploring Contextual Relationships for Cervical Abnormal Cell Detection. IEEE J. Biomed. Health Informatics 27 (8) (2023)
Hailin Yue, Jin Liu, Junjian Li, Hulin Kuang, Jinyi Lang, Jianhong Cheng, Lin Peng, Yongtao Han, Harrison Bai, Yuping Wang, Qifeng Wang, Jianxin Wang
MLDRL: Multi-loss disentangled representation learning for predicting esophageal cancer response to neoadjuvant chemoradiotherapy using longitudinal CT images. Medical Image Anal. 79 (2022)
Abdulrahman Al-Dailami, Hulin Kuang, Jianxin Wang
Predicting length of stay in ICU and mortality with temporal dilated separable convolution and context-aware feature fusion. Comput. Biol. Medicine 151 (Part) (2022)
Manna Xiao, Hulin Kuang, Jin Liu, Yan Zhang, Yizhen Xiang, Jianxin Wang
Integrating Multi-scale Feature Representation and Ensemble Learning for Schizophrenia Diagnosis. BIBM (2022)
Jianhong Cheng, Jin Liu, Hulin Kuang, Jianxin Wang
A Fully Automated Multimodal MRI-Based Multi-Task Learning for Glioma Segmentation and IDH Genotyping. IEEE Trans. Medical Imaging 41 (6) (2022)
Junjian Li, Jin Liu, Hailin Yue, Jianhong Cheng, Hulin Kuang, Harrison Bai, Yuping Wang, Jianxin Wang
DARC: Deep adaptive regularized clustering for histopathological image classification. Medical Image Anal. 80 (2022)
Jianhong Cheng, Min Gao, Jin Liu, Hailin Yue, Hulin Kuang, Jun Liu, Jianxin Wang
Multimodal Disentangled Variational Autoencoder With Game Theoretic Interpretability for Glioma Grading. IEEE J. Biomed. Health Informatics 26 (2) (2022)
Xinyu Li, Jianhong Cheng, Jin Liu, Hulin Kuang, Chengchao Shen, Pei Yang, Jianxin Wang
MVSF: Multi-View Signature Fusion Network for Noninvasively Predicting Ki67 Status. BIBM (2022)
Jianhong Cheng, Hulin Kuang, Qichang Zhao, Yahui Wang, Lei Xu, Jin Liu, Jianxin Wang
DWT-CV: Dense weight transfer-based cross validation strategy for model selection in biomedical data analysis. Future Gener. Comput. Syst. 135 (2022)
Yixiong Liang, Shuo Feng, Qing Liu, Hulin Kuang, Jianfeng Liu, Liyan Liao, Yun Du, Jianxin Wang
Exploring Contextual Relationships for Cervical Abnormal Cell Detection. CoRR (2022)
Abdulrahman Al-Dailami, Hulin Kuang, Jianxin Wang
Attention-based Memory Fusion Network for Clinical Outcome Prediction using Electronic Medical Records. BIBM (2022)
Xu Tian, Jin Liu, Hulin Kuang, Yu Sheng, Jianxin Wang
MRI-based Multi-task Decoupling Learning for Alzheimer's Disease Detection and MMSE Score Prediction: A Multi-site Validation. CoRR (2022)
Hulin Kuang, Yixiong Liang, Ning Liu, Jin Liu, Jianxin Wang
BEA-SegNet: Body and Edge Aware Network for Medical Image Segmentation. BIBM (2021)
Lei Xu, Jianhong Cheng, Jin Liu, Hulin Kuang, Fan Wu, Jianxin Wang
ARSC-Net: Adventitious Respiratory Sound Classification Network Using Parallel Paths with Channel-Spatial Attention. BIBM (2021)
Jin Liu, Xu Tian, Jianxin Wang, Rui Guo, Hulin Kuang
MTFIL-Net: automated Alzheimer's disease detection and MMSE score prediction based on feature interactive learning. BIBM (2021)
Hulin Kuang, Bijoy K. Menon, Sung Il Sohn, Wu Qiu
EIS-Net: Segmenting early infarct and scoring ASPECTS simultaneously on non-contrast CT of patients with acute ischemic stroke. Medical Image Anal. 70 (2021)
Pengjie Tao, Hulin Kuang, Yansong Duan, Liang Zhong, Wu Qiu
BITPNet: Unsupervised Bio-Inspired Two-Path Network for Nighttime Traffic Image Enhancement. IEEE Access 8 (2020)
Hulin Kuang, Bijoy K. Menon, Wu Qiu
Segmenting Hemorrhagic and Ischemic Infarct Simultaneously From Follow-Up Non-Contrast CT Images in Patients With Acute Ischemic Stroke. IEEE Access 7 (2019)
Kai-Fu Yang, Hui Li, Hulin Kuang, Chao-Yi Li, Yong-Jie Li
An Adaptive Method for Image Dynamic Range Adjustment. IEEE Trans. Circuits Syst. Video Technol. 29 (3) (2019)
Hulin Kuang, Bijoy K. Menon, Wu Qiu
Automated Infarct Segmentation from Follow-up Non-Contrast CT Scans in Patients with Acute Ischemic Stroke Using Dense Multi-Path Contextual Generative Adversarial Network. MICCAI (3) (2019)
Mohamed Najm, Hulin Kuang, Alyssa Federico, Uzair Jogiat, Mayank Goyal, Michael D. Hill, Andrew Demchuk, Bijoy K. Menon, Wu Qiu
Automated brain extraction from head CT and CTA images using convex optimization with shape propagation. Comput. Methods Programs Biomed. 176 (2019)
Hulin Kuang, Long Chen, Leanne Lai Hang Chan, Ray C. C. Cheung, Hong Yan
Feature Selection Based on Tensor Decomposition and Object Proposal for Night-Time Multiclass Vehicle Detection. IEEE Trans. Syst. Man Cybern. Syst. 49 (1) (2019)
Yansong Duan, Hulin Kuang, Wu Qiu, Leanne Lai Hang Chan, Hong Yan
Cascade feature selection and coarse-to-fine mechanism for nighttime multiclass vehicle detection. J. Electronic Imaging 27 (03) (2018)
Hulin Kuang, Cairong Liu, Leanne Lai Hang Chan, Hong Yan
Multi-class fruit detection based on image region selection and improved object proposals. Neurocomputing 283 (2018)
Hulin Kuang, Kai-Fu Yang, Long Chen, Yong-Jie Li, Leanne Lai Hang Chan, Hong Yan
Bayes Saliency-Based Object Proposal Generator for Nighttime Traffic Images. IEEE Trans. Intell. Transp. Syst. 19 (3) (2018)
Hulin Kuang, Mohamed Najm, Bijoy K. Menon, Wu Qiu
Joint Segmentation of Intracerebral Hemorrhage and Infarct from Non-Contrast CT Images of Post-treatment Acute Ischemic Stroke Patients. MICCAI (3) (2018)
Hulin Kuang, Xian-Shi Zhang, Yong-Jie Li, Leanne Lai Hang Chan, Hong Yan
Nighttime Vehicle Detection Based on Bio-Inspired Image Enhancement and Weighted Score-Level Feature Fusion. IEEE Trans. Intell. Transp. Syst. 18 (4) (2017)
Long Chen, Xuemin Hu, Tong Xu, Hulin Kuang, Qingquan Li
Turn Signal Detection During Nighttime by CNN Detector and Perceptual Hashing Tracking. IEEE Trans. Intell. Transp. Syst. 18 (12) (2017)
Hulin Kuang, Long Chen, Feng Gu, Jiajie Chen, Leanne Lai Chan, Hong Yan
Combining Region-of-Interest Extraction and Image Enhancement for Nighttime Vehicle Detection. IEEE Intell. Syst. 31 (3) (2016)
Hulin Kuang, Leanne Lai Chan, Cairong Liu, Hong Yan
Fruit classification based on weighted score-level feature fusion. J. Electronic Imaging 25 (1) (2016)
Hulin Kuang, Yanwen Chong, Qingquan Li, Chunhou Zheng
MutualCascade method for pedestrian detection. Neurocomputing 137 (2014)
Yanwen Chong, Qingquan Li, Hulin Kuang, Chun-Hou Zheng
MutualCascade Method for Pedestrian Detection. ICIC (3) (2012)
Yanwen Chong, Qingquan Li, Hulin Kuang, Chun-Hou Zheng
Float Cascade Method for Pedestrian Detection. ICIC (3) (2012)