匡湖林｜中南大学｜学者主页

2026

Vision-language model with siamese bilateral difference network and text-guided image feature enhancement for acute ischemic stroke outcome prediction on CT angiography

Hulin Kuang, Bin Hu, Shuai Yang, Dong-Cui Wang, Guanghua Luo, Weihua Liao, Wu Qiu, Shulin Liu, Jian-Xin Wang

Information Fusion

DOI

2026

MCAF: Improving Mortality Risk Prediction Using Multimodal Learning with Balanced Pre-training and Correlation-Aware Fusion

Abdulrahman Al-badwi, Cheng-Chao Shen, Abdulrahman Al-Dailami, Raeed Al-Sabri, Hulin Kuang, Jian-xin Wang

International Symposium on Bioinformatics Research and Applications

DOI

2026

Edge-Aware Transformer with Shared Axis Feature Alignment and Adaptive Self-Attention for Glioma Grading

A. Abbasi, Hulin Kuang, Xinyu Li, Jian-Xin Wang

Engineering applications of artificial intelligence

DOI

2026

MSCM-Net: Multi-scale CNN-Mamba Network for Pathological Complete Response Prediction of Lung Cancer

Jian-Cun Zhou, Hulin Kuang, Jian-xin Wang

Tsinghua Science and Technology

DOI

2026

AISCT-SAM: Customized SAM-Med2D with 3D Context Awareness and Self-Prompt Generation for Fully Automatic Acute Ischemic Stroke Lesion Segmentation on Non-Contrast CT Scans

Hulin Kuang, Xianzhen Tan, Li S, Shichao Kan, Jin Liu, Jiarui Sun, Jingyang Zhang, Chunfeng Yang, Wu Qiu, 张久楼, Yang Chen, Jianxin Wang

IEEE Journal of Biomedical and Health Informatics

DOI

2026

LA-mUNet: An Efficient Hybrid CNN-Mamba Network with Lesion Attention for 3D Brain Tumor MRI Segmentation

Tarekegn Kelta Alambo, Hulin Kuang, Jianxin Wang

Lecture notes in computer science

DOI

2026

Dispersion-to-consolidation: Consolidating dispersed semantics via context-aware clustering for whole slide image analysis

Junjian Li, Hulin Kuang, Jin Liu, Mengshen He, Hailin Yue, Jianxin Wang

Medical Image Analysis

DOI

2026

GCA-Net: Gaussian Prior Context Aggregation Network for Echocardiogram-Based Aortic Stenosis Diagnosis

Younas Aziz, Hulin Kuang, Husnain Mushtaq, Jianxin Wang

Lecture notes in computer science

DOI

2026

Integrating Neuroscientific Knowledge Into Adaptive Hypergraph Learning for Brain Disorder Diagnosis

Mengshen He, Jia Liu, Hulin Kuang, Xu Tian, Hailin Yue, Junjian Li, Xinyu Li, Bin Guo, Jianxin Wang

IEEE Transactions on Computational Social Systems

DOI

2026

Domain-Specific Self-Supervised Contrastive Learning with Contrast-Aware Pair Refinement for Pathological Image Analysis

Junjian Li, Hulin Kuang, Jin Liu, Hailin Yue, Jianxin Wang

Big Data Mining and Analytics

DOI

2026

HCMReg: A Pyramid Network with Hybrid Encoder and Cross Mamba Fusion for Unsupervised Medical Image Registration

Hulin Kuang, Guangheng Wu, Zhe Qu, Jie Wang

IEEE Transactions on Radiation and Plasma Medical Sciences

DOI

2026

Glaucoma Diagnosis and Progression Prediction Based on Deep Multimodal Fusion and Collaborative Attention Mechanism

Wei Lan, Zhentao Tang, Xuhua Yan, Ying Wu, Jin Liu, Hulin Kuang

IEEE Journal of Biomedical and Health Informatics

DOI

2026

A multi-stage multimodal learning model for functional outcomes prediction in acute ischemic stroke

Bin Hu, Zhongping Ai, Hui Xu, Liang Jiang, Hulin Kuang

Neuroradiology

DOI

2025

A dual-branch hybrid network with bilateral-difference awareness for collateral scoring on CT angiography of acute ischemic stroke patients

Hulin Kuang, Bin Hu, Wenfang Wan, Shulin Liu, Shuai Yang, Weihua Liao, Li Yuan, Guanghua Luo, Wu Qiu

Physics in Medicine and Biology

DOI

2025

LW-CTrans: A lightweight hybrid network of CNN and Transformer for 3D medical image segmentation.

Hulin Kuang, Yahui Wang, Xianzhen Tan, Jialin Yang, Jiarui Sun, Jin Liu, Wu Qiu, Jing-Yang Zhang, Jiu-Lou Zhang, Chun-Hsien Yang, Jian-Xin Wang, Yang Chen

Medical Image Analysis

DOI

2025

Large vessel occlusion identification network with vessel guidance and asymmetry learning on CT angiography of acute ischemic stroke patients

Hulin Kuang, Xinyuan Liu, Jin Liu, Shulin Liu, Shuai Yang, Weihua Liao, Wu Qiu, Guanghua Luo, Jian-Xin Wang

Medical Image Anal.

DOI

2025

Dynamic Residual Encoding with Slide-Level Contrastive Learning for End-to-End Whole Slide Image Representation

Jing Jin, Xu Liu, Te Gao, Zhihong Shi, Yi-Xiong Liang, Rui-Qing Zheng, Hulin Kuang, Min Zeng, Shi-Chao Kan

ACM Multimedia

DOI

2025

FedComDist: Towards Effective Personalized Federated Learning for Patient Outcome Prediction Using Multi-Center Electronic Medical Records

Abdulrahman Al-Dailami, Hulin Kuang, Jian-Xin Wang

IEEE journal of biomedical and health informatics

DOI

2025

CA2CL: Cluster-Aware Adversarial Contrastive Learning for Pathological Image Analysis

Jun-Jian Li, Hulin Kuang, Jin Liu, H. Yue, Jian-xin Wang

IEEE journal of biomedical and health informatics

DOI

2025

EMF: Enhancing Mortality Risk Prediction via Evidential Multimodal Fusion

Abdulrahman Al-badwi, Hulin Kuang, Abdulrahman Al-Dailami, Jian-Xin Wang

International Symposium on Bioinformatics Research and Applications

DOI

2025

HCM-Net: Hybrid CNN and Mamba Network with Multi-scale Awareness Feature Fusion for Lung Cancer Pathological Complete Response Prediction

Jian-Cun Zhou, Hulin Kuang, Jian-Xin Wang

International Symposium on Bioinformatics Research and Applications

DOI

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

Xianzhen Tan, Zhe Qu, Jie Wang, Hulin Kuang

IEEE International Conference on Acoustics Speech and Signal Processing

DOI

2025

ARIG-GCN: Anatomical Relationship and Isomorphic Graph Approximation Guided Graph Convolutional Network for Automated ASPECTS Scoring on Non-Contrast CT

Ning Li, Zhe Qu, Jie Wang, Hulin Kuang

IEEE International Conference on Acoustics Speech and Signal Processing

DOI

2025

Segmentation-Guided Deep Learning for Glioma Survival Risk Prediction with Multimodal MRI

Jianhong Cheng, Hulin Kuang, Songhan Yang, Hailin Yue, Jin Liu, Jianxin Wang

Big Data Mining and Analytics

DOI

2025

GMReg: Group Mamba Correlation Based Pyramid Network with Edge Enhancement for Medical Image Registration

Hulin Kuang, Guangheng Wu, Jiayi Liu, Zhe Qu, Shichao Kan, Jie Wang

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

DOI

2025

Wavelet Multi-Dimensional and Mamba-Guided Semantic Graph Feature Fusion Network for Glioma Grading

Adeel Ahmed Abbasi, Hulin Kuang, Xinyu Li, Jianxin Wang

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

DOI

2025

Subtype-HM: A Novel Cancer Subtype Identification Method Based on Hypergraph Learning and Multi-omics Data

Jie Wang, Xin Huang, Hulin Kuang, Yan Cheng

Interdisciplinary Sciences Computational Life Sciences

DOI

2025

Contrastive Regularization over LoRA for Multimodal Biomedical Image Incremental Learning

Haojie Zhang, Yixiong Liang, Hulin Kuang, Lihui Cen, Zhe Qu, Yigang Cen, Min Zeng, Shichao Kan

ACM International Conference on Multimedia (ACM MM)

DOI

2025

MiCo: Multiple Instance Learning with Context-Aware Clustering for Whole Slide Image Analysis

Junjian Li, Jin Liu, Hulin Kuang, Hailin Yue, Mengshen He, Jianxin Wang

Lecture notes in computer science

DOI

2025

VisNet: A Human Visual System Inspired Lightweight Dual-Path Network for Medical Images Denoising

Hailin Yue, Hulin Kuang, Lei Ma, Jin Liu, Junjian Li, Jianhong Cheng, Jianxin Wang

Lecture notes in computer science

DOI

2025

Tetra-Orientated Mamba with T2-FLAIR Mismatch Features for Glioma Segmentation, IDH Genotyping, and Grading

Xinyu Li, Jin Liu, Hulin Kuang, Yuanzhuo Wang, Jianxin Wang

Lecture notes in computer science

DOI

2025

Effectively Integrating CNN and Low-Complexity Transformer for Lung Cancer Tumor Prediction After Neoadjuvant Chemoimmunotherapy

Jiancun Zhou, Xianzhen Tan, Hulin Kuang, Jianxin Wang

Big Data Mining and Analytics

DOI

2025

Editorial: AI's transformative role in neuro-intervention: enhancing diagnosis and treatment strategies

Shencai Chen, Donghao Zhang, Fouzi Bala, Hulin Kuang, Aravind Ganesh, Wu Qiu

Frontiers in Neurology

DOI

2025

Hybrid region and population hypergraph neural network for mild cognitive impairment detection

Jie Wang, Ling Wu, Hulin Kuang, Jianxin Wang

Pattern Recognition

DOI

2025

Knowledge-Driven Graph Representation Learning for Myocardial Infarction Localization

Feng-Yi Guo, Ying An, Hulin Kuang, Jianxin Wang

IEEE Journal of Biomedical and Health Informatics

DOI

2025

Multimodal Representation Learning Based on Personalized Graph-Based Fusion for Mortality Prediction Using Electronic Medical Records

Abdulrahman Al-Dailami, Hulin Kuang, Jianxin Wang

Big Data Mining and Analytics

DOI

2025

Multi‐view sparse attention network for glioma survival risk prediction

Xinyu Li, Hulin Kuang, Jianhong Cheng, Yi Ping Luo, Mengshen He, Jianxin Wang

Medical Physics

DOI

2025

Multimodal Foundation Model Adaptation with Clinical Knowledge Guidance for IDH Genotyping

Hulin Kuang, Yingxu Chen, Jiayi Liu, Jie Wang, Zhe Qu, Shichao Kan

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

DOI

2024

A2HTL: An Automated Hybrid Transformer-Based Learning for Predicting Survival of Esophageal Cancer Using CT Images

H. Yue, Jin Liu, Li-Na Zhao, Hulin Kuang, Jianhong Cheng, Jun-Jian Li, Mengshen He, J. Gong, Jian-xin Wang

IEEE Transactions on Nanobioscience

DOI

2024

Segmenting Ischemic Penumbra and Infarct Core Simultaneously on Non-Contrast CT of Patients with Acute Ischemic Stroke Using Novel Convolutional Neural Network

Hulin Kuang, Xianzhen Tan, Jie Wang, Zhe Qu, Yuxin Cai, Qiong Chen, B. Kim, Wu Qiu

Biomedicines

DOI

2024

Two-stage convolutional neural network for segmentation and detection of carotid web on CT angiography

Hulin Kuang, Xianzhen Tan, F. Bala, Jia-Liang Huang, Jian-Hai Zhang, Ibrahim Alhabli, F. Benali, Nishita Singh, A. Ganesh, S. Coutts, M. Almekhlafi, M. Goyal, Michael D. Hill, Wu Qiu, B. Menon

Journal of NeuroInterventional Surgery

DOI

2024

Hybrid CNN-Transformer Network With Circular Feature Interaction for Acute Ischemic Stroke Lesion Segmentation on Non-Contrast CT Scans

Hulin Kuang, Yahui Wang, Jin Liu, Jie Wang, Quan-Liang Cao, Bo Hu, Wu Qiu, Jianxin Wang

IEEE Transactions on Medical Imaging

DOI

2024

MMGK: Multimodality Multiview Graph Representations and Knowledge Embedding for Mild Cognitive Impairment Diagnosis

Jin Liu, Hao Du, R. Guo, H. Bai, Hulin Kuang, Jian-xin Wang

IEEE Transactions on Computational Social Systems

DOI

2024

A Glimpse into the AI-Driven Advances in Neurobiology and Neurologic Diseases

Wu Qiu, Hulin Kuang

Biomedicines

DOI

2024

Hybrid CNN and Low-Complexity Transformer Network with Attention-Based Feature Fusion for Predicting Lung Cancer Tumor After Neoadjuvant Chemoimmunotherapy

Jian-Cun Zhou, Hulin Kuang, Yahui Wang, Jian-Xin Wang

International Symposium on Bioinformatics Research and Applications

DOI

2024

ViT-Based Multi-task Learning Method for Pulmonary Embolism Detection, Localization, and Type Classification

A. Mohammed, Hulin Kuang, Jian-Xin Wang

International Conference on Intelligent Computing

DOI

2024

Combining CNN and Self-attention-Free Transformer Using Local-Global Attention Fusion for Lung Cancer Segmentation

Jian-Cun Zhou, Hulin Kuang, Yahui Wang, Jian-Xin Wang

International Conference on Intelligent Computing

DOI

2024

Local-Global Spatio-Temporal Encoding with Adaptive Brain Region Signal Segmentation for Mild Cognitive Impairment Detection

Jie Wang, Luohuang Wu, Hulin Kuang

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

DOI

2024

Global Contrastive Learning with High-Quality Data in Large Vision-Language Models for Pathological Question Answering

Hulin Kuang, Suoni Liu, Haojie Zhang, Zhe Qu, Shichao Kan

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

DOI

2023

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

H. Yue, Jin Liu, Hulin Kuang, Jianhong Cheng, Jun-Jian Li, Jian-xin Wang

IEEE International Conference on Bioinformatics and Biomedicine

DOI

2023

M3CI-Net: Multi-Modal MRI-Based Characteristics Inspired Network for IDH Genotyping

Jin Yao, Jin Liu, Jianhong Cheng, Hulin Kuang, Jian-xin Wang

IEEE International Conference on Bioinformatics and Biomedicine

DOI

2023

Automated Collateral Scoring on CT Angiography of Patients with Acute Ischemic Stroke Using Hybrid CNN and Transformer Network

Hulin Kuang, Wenfang Wan, Yahui Wang, Jie Wang, W. Qiu

Biomedicines

DOI

2023

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

Lei Ma, Hulin Kuang, Jin Liu, Cheng-Chao Shen, Jian-xin Wang

IEEE International Conference on Bioinformatics and Biomedicine

DOI

2023

Multi-Modal Multi-Kernel Graph Learning for Autism Prediction and Biomarker Discovery

Jin Liu, Junbin Mao, Han Lin, Hulin Kuang, Shi-Rui Pan, Xu-Sheng Wu, Shan Xie, Fei Liu, Yi Pan

IEEE Transactions on Computational Biology and Bioinformatics

DOI

2023

LGTRL-DE: Local and Global Temporal Representation Learning with Demographic Embedding for in-hospital mortality prediction

Mengjie Zou, Ying An, Hulin Kuang, Jianxin Wang

Journal of Biomedical Informatics

DOI

2023

RBS-Net: Hippocampus segmentation using multi-layer feature learning with the region, boundary and structure loss

Yu Chen, H. Yue, Hulin Kuang, Jian-xin Wang

Comput. Biol. Medicine

DOI

2023

Asymmetric Patch Sampling for Contrastive Learning

Chengchao Shen, Jianzhong Chen, Shu Wang, Hulin Kuang, Jin Liu, Jian-xin Wang

Pattern Recognition

DOI

2023

BEA-Net: Body and Edge Aware Network With Multi-Scale Short-Term Concatenation for Medical Image Segmentation

Hulin Kuang, Yahui Wang, Yixiong Liang, Jin Liu, Jian-xin Wang

IEEE journal of biomedical and health informatics

DOI

2023

Domain-specific Knowledge Guided Self-supervised Learning for Pathological Image Segmentation

Chenhui Wang, Hulin Kuang, Jin Liu, Jun-Jian Li, H. Yue, Jian-xin Wang

IEEE International Conference on Bioinformatics and Biomedicine

DOI

2022

MLDRL: Multi-loss disentangled representation learning for predicting esophageal cancer response to neoadjuvant chemoradiotherapy using longitudinal CT images

H. Yue, Jin Liu, Jun-Jian Li, Hulin Kuang, J. Lang, Jianhong Cheng, Lin Peng, Yong-Tao Han, H. Bai, Yuping Wang, Qifeng Wang, Jian-xin Wang

Medical Image Anal.

DOI

2022

MRI-based Multi-task Decoupling Learning for Alzheimer's Disease Detection and MMSE Score Prediction: A Multi-site Validation

Xu Tian, Jin Liu, Hulin Kuang, Yu Sheng, Jianxin Wang, T. Initiative

arXiv.org

DOI

2022

A Fully Automated Multimodal MRI-Based Multi-Task Learning for Glioma Segmentation and IDH Genotyping

Jianhong Cheng, Jin Liu, Hulin Kuang, Jian-Xin Wang

IEEE Transactions on Medical Imaging

DOI

2022

Predicting length of stay in ICU and mortality with temporal dilated separable convolution and context-aware feature fusion

Abdulrahman Al-Dailami, Hulin Kuang, Jian-xin Wang

Comput. Biol. Medicine

DOI

2022

Attention-based Memory Fusion Network for Clinical Outcome Prediction using Electronic Medical Records

Abdulrahman Al-Dailami, Hulin Kuang, Jianxin Wang

IEEE International Conference on Bioinformatics and Biomedicine

DOI

2022

DWT-CV: Dense weight transfer-based cross validation strategy for model selection in biomedical data analysis

Jianhong Cheng, Hulin Kuang, Qichang Zhao, Yahui Wang, Lei Xu, Jin Liu, Jian-xin Wang

Future generations computer systems

DOI

2022

Exploring Contextual Relationships for Cervical Abnormal Cell Detection

Yixiong Liang, Shuo Feng, Qing Liu, Hulin Kuang, Jianfeng Liu, Liyan Liao, Yun Du, Jian-xin Wang

IEEE journal of biomedical and health informatics

DOI

2022

Integrating Multi-scale Feature Representation and Ensemble Learning for Schizophrenia Diagnosis

Ma Xiao, Hulin Kuang, Jin Liu, Yan Zhang, Yi-Zhen Xiang, Jian-xin Wang

IEEE International Conference on Bioinformatics and Biomedicine

DOI

2022

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

Xinyu Li, Jianhong Cheng, Jin Liu, Hulin Kuang, Cheng-Chao Shen, Pei Yang, Jian-xin Wang

IEEE International Conference on Bioinformatics and Biomedicine

DOI

2022

DARC: Deep adaptive regularized clustering for histopathological image classification

Jun-Jian Li, Jin Liu, H. Yue, Jianhong Cheng, Hulin Kuang, H. Bai, Yuping Wang, Jian-xin Wang

Medical Image Anal.

DOI

2021

EIS-Net: Segmenting early infarct and scoring ASPECTS simultaneously on non-contrast CT of patients with acute ischemic stroke

Hulin Kuang, B. Menon, S. Sohn, Qiu Wu

Medical Image Anal.

DOI

2021

Automated Prediction of Ischemic Brain Tissue Fate from Multiphase Computed Tomographic Angiography in Patients with Acute Ischemic Stroke Using Machine Learning

W. Qiu, Hulin Kuang, J. Ospel, M. Hill, A. Demchuk, M. Goyal, B. Menon

Journal of Stroke

DOI

2021

MTFIL-Net: automated Alzheimer’s disease detection and MMSE score prediction based on feature interactive learning

Jin Liu, Xu Tian, Jian-Xin Wang, R. Guo, Hulin Kuang

IEEE International Conference on Bioinformatics and Biomedicine

DOI

2021

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

Hulin Kuang, Yixiong Liang, Ning Liu, Jin Liu, Jian-Xin Wang

IEEE International Conference on Bioinformatics and Biomedicine

DOI

2021

ARSC-Net: Adventitious Respiratory Sound Classification Network Using Parallel Paths with Channel-Spatial Attention

Lei Xu, Jianhong Cheng, Jin Liu, Hulin Kuang, Fan Wu, Jian-Xin Wang

IEEE International Conference on Bioinformatics and Biomedicine

DOI

2021

Multimodal Disentangled Variational Autoencoder With Game Theoretic Interpretability for Glioma Grading

Jianhong Cheng, Min Gao, Jin Liu, H. Yue, Hulin Kuang, Jun Liu, Jian-Xin Wang

IEEE journal of biomedical and health informatics

DOI

2020

Machine Learning for Detecting Early Infarction in Acute Stroke with Non-Contrast-enhanced CT.

W. Qiu, Hulin Kuang, Ericka Teleg, J. Ospel, S. Sohn, M. Almekhlafi, M. Goyal, M. Hill, A. Demchuk, B. Menon

Radiology

DOI

2020

Automated stroke lesion segmentation in non-contrast CT scans using dense multi-path contextual generative adversarial network

Hulin Kuang, B. Menon, W. Qiu

Physics in Medicine and Biology

DOI

2020

Computed Tomography Perfusion–Based Machine Learning Model Better Predicts Follow-Up Infarction in Patients With Acute Ischemic Stroke

Hulin Kuang, W. Qiu, A. Boers, Scott Brown, K. Muir, C. Majoie, D. Dippel, P. White, J. Epstein, P. Mitchell, A. Dávalos, S. Bracard, B. Campbell, J. Saver, T. Jovin, M. Rubiera, A. Khaw, J. Shankar, E. Fainardi, M. Hill, A. Demchuk, M. Goyal, B. Menon

Stroke

DOI

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

Hulin Kuang, B. Menon, W. Qiu

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2019

Automated brain extraction from head CT and CTA images using convex optimization with shape propagation

M. Najm, Hulin Kuang, Alyssa Federico, U. Jogiat, M. Goyal, M. Hill, A. Demchuk, B. Menon, W. Qiu

Comput. Methods Programs Biomed.

DOI

2019

Validation of an automated ASPECTS method on non-contrast computed tomography scans of acute ischemic stroke patients

Hulin Kuang, W. Qiu, M. Najm, D. Dowlatshahi, R. Mikulík, A. Poppe, J. Puig, M. Castellanos, S. Sohn, S. Ahn, A. Calleja, A. Jin, T. Asil, N. Asdaghi, Thalia Shoshana Field, S. Coutts, M. Hill, A. Demchuk, M. Goyal, B. Menon

International Journal of Stroke

DOI

2019

Semi-automatic measurement of intracranial hemorrhage growth on non-contrast CT

K. Chung, Hulin Kuang, Alyssa Federico, H. Choi, Linda Kasickova, A. A. Al Sultan, MacKenzie Horn, M. Crowther, S. Connolly, Patrick Yue, J. Curnutte, A. Demchuk, B. Menon, W. Qiu

International Journal of Stroke

DOI

2019

Segmenting Hemorrhagic and Ischemic Infarct Simultaneously From Follow-Up Non-Contrast CT Images in Patients With Acute Ischemic Stroke

Hulin Kuang, B. Menon, W. Qiu

IEEE Access

DOI

2019

Semi-Automated Infarct Segmentation from Follow-up Non-Contrast CT Scans in Patients with Acute Ischemic Stroke.

Hulin Kuang, B. Menon, W. Qiu

Medical Physics (Lancaster)

DOI

2019

Response by Qiu et al to Letter Regarding Article, "Confirmatory Study of Time-Dependent Computed Tomographic Perfusion Thresholds for Use in Acute Ischemic Stroke".

W. Qiu, Hulin Kuang, B. Menon

Stroke

DOI

2019

Feature Selection Based on Tensor Decomposition and Object Proposal for Night-Time Multiclass Vehicle Detection

Hulin Kuang, Long Chen, L. Chan, R. Cheung, Hong Yan

IEEE Transactions on Systems, Man, and Cybernetics: Systems

DOI

2019

Confirmatory Study of Time-Dependent Computed Tomographic Perfusion Thresholds for Use in Acute Ischemic Stroke.

W. Qiu, Hulin Kuang, Ting-Yee Lee, A. Boers, Scott Brown, K. Muir, C. Majoie, D. Dippel, P. White, F. Guillemin, P. Mitchell, A. Dávalos, S. Bracard, B. Campbell, J. Saver, T. Jovin, M. Hill, A. Demchuk, M. Goyal, B. Menon

Stroke

DOI

2018

Radiomics-Based Intracranial Thrombus Features on CT and CTA Predict Recanalization with Intravenous Alteplase in Patients with Acute Ischemic Stroke

W. Qiu, Hulin Kuang, J. Nair, Z. Assis, M. Najm, Connor McDougall, B. McDougall, K. Chung, Alexis T. Wilson, Mayank Goyal, M. Hill, A. Demchuk, B. Menon

American Journal of Neuroradiology

DOI

2018

Abstract TP64: Visual Perception, Cognition, and Non-Contrast CT Aspects

Alexis T. Wilson, Sadanand Dey, J. Evans, C. Tham, Z. Assis, Ericka Teleg, P. Pordeli, P. Eswaradass, S. V. Van Gaal, M. Najm, Anneliese Neweduk, MacKenzie Horn, Hulin Kuang, M. Hafeez, W. Qiu, A. Demchuk, M. Goyal, M. Hill, B. Menon

DOI

2018

Joint Segmentation of Intracerebral Hemorrhage and Infarct from Non-Contrast CT Images of Post-treatment Acute Ischemic Stroke Patients

Hulin Kuang, M. Najm, B. Menon, W. Qiu

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2018

Automated ASPECTS on Noncontrast CT Scans in Patients with Acute Ischemic Stroke Using Machine Learning

Hulin Kuang, M. Najm, D. Chakraborty, N. Maraj, S. Sohn, M. Goyal, Michael D. Hill, A. Demchuk, B. Menon, W. Qiu

American Journal of Neuroradiology

DOI

2018

Abstract WP45: Algorithm Enhanced Gray-White Matter Non-Contrast CT Improves Reliability of ASPECTS Scoring

M. Hafeez, W. Qiu, Hulin Kuang, M. Najm, Alexis T. Wilson, Amy Bobyn, Sadanand Dey, M. Goyal, M. Hill, A. Demchuk, B. Menon

DOI

2018

Abstract WMP23: Automated ASPECTS Scoring of CT Scans for Acute Ischemic Stroke Patients Using Machine Learning

Hulin Kuang, Ericka Teleg, M. Najm, Alexis T. Wilson, S. Sohn, M. Goyal, M. Hill, A. Demchuk, B. Menon, Qiu Wu

DOI

2018

Abstract WMP21: Texture Analysis of Intracranial Thrombus Using CT and CTA Predicts Early Recanalization With Intravenous Alteplase

W. Qiu, Hulin Kuang, M. Najm, C. McDougall, J. Nair, B. McDougall, K. Chung, Alexis T. Wilson, M. Goyal, M. Hill, A. Demchuk, B. Menon

DOI

2018

Bayes Saliency-Based Object Proposal Generator for Nighttime Traffic Images

Hulin Kuang, Kai-Fu Yang, Long Chen, Yong-Jie Li, L. Chan, Hong Yan

IEEE transactions on intelligent transportation systems (Print)

DOI

2018

Cascade feature selection and coarse-to-fine mechanism for nighttime multiclass vehicle detection

Yan-Song Duan, Hulin Kuang, W. Qiu, L. Chan, Hong Yan

J. Electronic Imaging

DOI

2017

Nighttime Vehicle Detection Based on Bio-Inspired Image Enhancement and Weighted Score-Level Feature Fusion

Hulin Kuang, Xian-Shi Zhang, Yong-Jie Li, L. Chan, Hong Yan

IEEE transactions on intelligent transportation systems (Print)

DOI

2017

Turn Signal Detection During Nighttime by CNN Detector and Perceptual Hashing Tracking

Long Chen, Xuemin Hu, Tong Xu, Hulin Kuang, Qingquan Li

IEEE transactions on intelligent transportation systems (Print)

DOI

2016

Combining Region-of-Interest Extraction and Image Enhancement for Nighttime Vehicle Detection

Hulin Kuang, Long Chen, Feng Gu, Jiajie Chen, L. Chan, Hong Yan

IEEE Intelligent Systems

DOI

精选作品

期刊论文

Vision-language model with siamese bilateral difference network and text-guided image feature enhancement for acute ischemic stroke outcome prediction on CT angiography

MCAF: Improving Mortality Risk Prediction Using Multimodal Learning with Balanced Pre-training and Correlation-Aware Fusion

Edge-Aware Transformer with Shared Axis Feature Alignment and Adaptive Self-Attention for Glioma Grading

MSCM-Net: Multi-scale CNN-Mamba Network for Pathological Complete Response Prediction of Lung Cancer

AISCT-SAM: Customized SAM-Med2D with 3D Context Awareness and Self-Prompt Generation for Fully Automatic Acute Ischemic Stroke Lesion Segmentation on Non-Contrast CT Scans

LA-mUNet: An Efficient Hybrid CNN-Mamba Network with Lesion Attention for 3D Brain Tumor MRI Segmentation

Dispersion-to-consolidation: Consolidating dispersed semantics via context-aware clustering for whole slide image analysis

GCA-Net: Gaussian Prior Context Aggregation Network for Echocardiogram-Based Aortic Stenosis Diagnosis

Integrating Neuroscientific Knowledge Into Adaptive Hypergraph Learning for Brain Disorder Diagnosis

Domain-Specific Self-Supervised Contrastive Learning with Contrast-Aware Pair Refinement for Pathological Image Analysis

HCMReg: A Pyramid Network with Hybrid Encoder and Cross Mamba Fusion for Unsupervised Medical Image Registration

Glaucoma Diagnosis and Progression Prediction Based on Deep Multimodal Fusion and Collaborative Attention Mechanism

A multi-stage multimodal learning model for functional outcomes prediction in acute ischemic stroke

A dual-branch hybrid network with bilateral-difference awareness for collateral scoring on CT angiography of acute ischemic stroke patients

LW-CTrans: A lightweight hybrid network of CNN and Transformer for 3D medical image segmentation.

Large vessel occlusion identification network with vessel guidance and asymmetry learning on CT angiography of acute ischemic stroke patients

Dynamic Residual Encoding with Slide-Level Contrastive Learning for End-to-End Whole Slide Image Representation

FedComDist: Towards Effective Personalized Federated Learning for Patient Outcome Prediction Using Multi-Center Electronic Medical Records

CA2CL: Cluster-Aware Adversarial Contrastive Learning for Pathological Image Analysis

EMF: Enhancing Mortality Risk Prediction via Evidential Multimodal Fusion

HCM-Net: Hybrid CNN and Mamba Network with Multi-scale Awareness Feature Fusion for Lung Cancer Pathological Complete Response Prediction

A Clinical Knowledge-Driven Fine-Tuning Strategy for Applying Foundation Model to Fully Automatic Acute Ischemic Stroke Lesion Segmentation on Non-Contrast CT Scans

ARIG-GCN: Anatomical Relationship and Isomorphic Graph Approximation Guided Graph Convolutional Network for Automated ASPECTS Scoring on Non-Contrast CT

Segmentation-Guided Deep Learning for Glioma Survival Risk Prediction with Multimodal MRI

GMReg: Group Mamba Correlation Based Pyramid Network with Edge Enhancement for Medical Image Registration

Wavelet Multi-Dimensional and Mamba-Guided Semantic Graph Feature Fusion Network for Glioma Grading

Subtype-HM: A Novel Cancer Subtype Identification Method Based on Hypergraph Learning and Multi-omics Data

Contrastive Regularization over LoRA for Multimodal Biomedical Image Incremental Learning

MiCo: Multiple Instance Learning with Context-Aware Clustering for Whole Slide Image Analysis

VisNet: A Human Visual System Inspired Lightweight Dual-Path Network for Medical Images Denoising

Tetra-Orientated Mamba with T2-FLAIR Mismatch Features for Glioma Segmentation, IDH Genotyping, and Grading

Effectively Integrating CNN and Low-Complexity Transformer for Lung Cancer Tumor Prediction After Neoadjuvant Chemoimmunotherapy

Editorial: AI's transformative role in neuro-intervention: enhancing diagnosis and treatment strategies

Hybrid region and population hypergraph neural network for mild cognitive impairment detection

Knowledge-Driven Graph Representation Learning for Myocardial Infarction Localization

Multimodal Representation Learning Based on Personalized Graph-Based Fusion for Mortality Prediction Using Electronic Medical Records

Multi‐view sparse attention network for glioma survival risk prediction

Multimodal Foundation Model Adaptation with Clinical Knowledge Guidance for IDH Genotyping

A2HTL: An Automated Hybrid Transformer-Based Learning for Predicting Survival of Esophageal Cancer Using CT Images

Segmenting Ischemic Penumbra and Infarct Core Simultaneously on Non-Contrast CT of Patients with Acute Ischemic Stroke Using Novel Convolutional Neural Network

Two-stage convolutional neural network for segmentation and detection of carotid web on CT angiography

Hybrid CNN-Transformer Network With Circular Feature Interaction for Acute Ischemic Stroke Lesion Segmentation on Non-Contrast CT Scans

MMGK: Multimodality Multiview Graph Representations and Knowledge Embedding for Mild Cognitive Impairment Diagnosis

A Glimpse into the AI-Driven Advances in Neurobiology and Neurologic Diseases

Hybrid CNN and Low-Complexity Transformer Network with Attention-Based Feature Fusion for Predicting Lung Cancer Tumor After Neoadjuvant Chemoimmunotherapy

ViT-Based Multi-task Learning Method for Pulmonary Embolism Detection, Localization, and Type Classification

Combining CNN and Self-attention-Free Transformer Using Local-Global Attention Fusion for Lung Cancer Segmentation

Local-Global Spatio-Temporal Encoding with Adaptive Brain Region Signal Segmentation for Mild Cognitive Impairment Detection

Global Contrastive Learning with High-Quality Data in Large Vision-Language Models for Pathological Question Answering

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

M3CI-Net: Multi-Modal MRI-Based Characteristics Inspired Network for IDH Genotyping

Automated Collateral Scoring on CT Angiography of Patients with Acute Ischemic Stroke Using Hybrid CNN and Transformer Network

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

Multi-Modal Multi-Kernel Graph Learning for Autism Prediction and Biomarker Discovery

LGTRL-DE: Local and Global Temporal Representation Learning with Demographic Embedding for in-hospital mortality prediction

RBS-Net: Hippocampus segmentation using multi-layer feature learning with the region, boundary and structure loss

Asymmetric Patch Sampling for Contrastive Learning

BEA-Net: Body and Edge Aware Network With Multi-Scale Short-Term Concatenation for Medical Image Segmentation

Domain-specific Knowledge Guided Self-supervised Learning for Pathological Image Segmentation

MLDRL: Multi-loss disentangled representation learning for predicting esophageal cancer response to neoadjuvant chemoradiotherapy using longitudinal CT images

MRI-based Multi-task Decoupling Learning for Alzheimer's Disease Detection and MMSE Score Prediction: A Multi-site Validation

A Fully Automated Multimodal MRI-Based Multi-Task Learning for Glioma Segmentation and IDH Genotyping

Predicting length of stay in ICU and mortality with temporal dilated separable convolution and context-aware feature fusion

Attention-based Memory Fusion Network for Clinical Outcome Prediction using Electronic Medical Records

DWT-CV: Dense weight transfer-based cross validation strategy for model selection in biomedical data analysis

Exploring Contextual Relationships for Cervical Abnormal Cell Detection

Integrating Multi-scale Feature Representation and Ensemble Learning for Schizophrenia Diagnosis

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

DARC: Deep adaptive regularized clustering for histopathological image classification

EIS-Net: Segmenting early infarct and scoring ASPECTS simultaneously on non-contrast CT of patients with acute ischemic stroke

Automated Prediction of Ischemic Brain Tissue Fate from Multiphase Computed Tomographic Angiography in Patients with Acute Ischemic Stroke Using Machine Learning

MTFIL-Net: automated Alzheimer’s disease detection and MMSE score prediction based on feature interactive learning

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

ARSC-Net: Adventitious Respiratory Sound Classification Network Using Parallel Paths with Channel-Spatial Attention

Multimodal Disentangled Variational Autoencoder With Game Theoretic Interpretability for Glioma Grading

Machine Learning for Detecting Early Infarction in Acute Stroke with Non-Contrast-enhanced CT.

Automated stroke lesion segmentation in non-contrast CT scans using dense multi-path contextual generative adversarial network

Computed Tomography Perfusion–Based Machine Learning Model Better Predicts Follow-Up Infarction in Patients With Acute Ischemic Stroke