Liyu Huang

发表

Large-Deformation Image Registration of CT-TEE for Surgical Navigation of Congenital Heart Disease

Shuiping Gou, Linlin Chen, Yu Gu, 2018, Comput. Math. Methods Medicine.

Automatic Segmentation and Cardiopathy Classification in Cardiac Mri Images Based on Deep Neural Networks

Cheolkon Jung, Baoyu Song, Yakun Chang, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Improving EEG-based Topographic Mapping by Combining Transfer Entropy with Effective Brain Network

Yi Ren, Kexin Huang, Liyu Huang, 2018, DEStech Transactions on Computer Science and Engineering.

Functional brain network analysis of schizophrenic patients with positive and negative syndrome based on mutual information of EEG time series

Jun Li, Yun Zhang, Aifeng Ren, 2017, Biomed. Signal Process. Control..

ENERGY FEATURE EXTRACTION AND SVM CLASSIFICATION OF MOTOR IMAGERY-INDUCED ELECTROENCEPHALOGRAMS

Jing Zhao, Jianing Zheng, Liyu Huang, 2012 .

A fast method based on NESTA to accurately reconstruct CT image from highly undersampled projection measurements.

Jun Li, Shouping Zhu, Zhijie He, 2016, Journal of X-ray science and technology.

Realtime Recognition of Attention State by Complexity Analysis of Electroencephalogram

Lang Jin, Rong Lu, Liyu Huang, 2013 .

EEG Feature Analysis for Detecting the Fluctuation of Consciousness Level during Propofol Anesthesia

Yun Zhang, Jun Li, Yubo Wang, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Hand Tremor Classification Using Bispectrum Analysis of Acceleration Signals and Back-Propagation Neural Network

Jue Wang, Xuelian Wang, Lingmei Ai, 2007, ISNN.

Removal of Artifacts in Electroencephalogram Using Adaptive Infomax Algorithm of Blind Source Separation

Li Gao, Tianqiao Zhu, Liyu Huang, 2008, ICIC.

Differentiating propofol-induced altered states of consciousness using features of EEG microstates

Yun Zhang, Zhen Dong, Haidong Wang, 2021, Biomed. Signal Process. Control..

Using Back Propagation Feedback Neural Networks and Recurrence Quantification Analysis of EEGs Predict Responses to Incision During Anesthesia

Sekou Singare, Weirong Wang, Liyu Huang, 2006, ICNC.

Real-time estimation of depth of anaesthesia using the mutual information of electroencephalograms

Jingzhi Cheng, Liyu Huang, Enke Zhang, 2003, First International IEEE EMBS Conference on Neural Engineering, 2003. Conference Proceedings..

Brain Functional Network Based on Mutual Information Analysis of EEGs and its Application to Schizophrenia

Jing Zhao, Jian Guo Shi, Jia Zou, 2013 .

An efficient Pawlak reduction algorithm based on bitmap and granular computing

Wenbin Qian, Zhangyan Xu, Liyu Huang, 2009, 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems.

[The current situation and development of tremor signals analysis].

Jue Wang, Lingmei Ai, Liyu Huang, 2007, Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi.

Recurrence Quantification Analysis of EEG Predicts Responses to Incision During Anesthesia

Sekou Singare, Weirong Wang, Liyu Huang, 2006, ICONIP.

Predictive local receptive fields based respiratory motion tracking for motion-adaptive radiotherapy

Andy W. H. Khong, Kalyana Chakravarthy Veluvolu, Sivanagaraja Tatinati, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Multi-Step Prediction of Physiological Tremor With Random Quaternion Neurons for Surgical Robotics Applications

Wei Tech Ang, Kianoush Nazarpour, Sivanagaraja Tatinati, 2018, IEEE Access.

Complexity Analysis of Gait Time Series under the Different Physiological States

Pei Zhang, Weirong Wang, Liyu Huang, 2009, 2009 2nd International Conference on Biomedical Engineering and Informatics.

Novel method of fast automated discrimination of sleep stages

Jingzhi Cheng, Qixin Sun, Liyu Huang, 2003, Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439).

Epileptic Seizure Prediction by Using Empirical Mode Decomposition and Complexity Analysis of Single-Channel Scalp Electroencephalogram

Tianqiao Zhu, Liyu Huang, Xuzi Tian, 2009, 2009 2nd International Conference on Biomedical Engineering and Informatics.

Bispectrum Quantification Analysis of EEG and Artificial Neural Network May Classify Ischemic States

Sekou Singare, Weirong Wang, Liyu Huang, 2006, ICONIP.

Predicting Epileptic Seizure by Recurrence Quantification Analysis of Single-Channel EEG

Tianqiao Zhu, Shouhong Zhang, Liyu Huang, 2008, ICIC.

Classifying Mental Tasks Using Local Mean Decomposition of Electroencephalogram and Support Vector Machine

Jie Niu, Liyu Huang, Jia Ning Zheng, 2013 .

Detecting Connected Consciousness During Propofol-Induced Anesthesia Using EEG Based Brain Decoding

Liyu Huang, Yubo Wang, Qiang Wang, 2021, Int. J. Neural Syst..

Detecting Mitosis against Domain Shift using a Fused Detector and Deep Ensemble Classification Model for MIDOG Challenge pdf

Zhibin Yu, Liyu Huang, Yubo Wang, 2021, MIDOG/MOOD/Learn2Reg@MICCAI.

Preoperative Prediction of Axillary Lymph Node Metastasis in Breast Cancer Using Mammography-Based Radiomics Method

Xiaobo Zhou, Jie Tian, Liyu Huang, 2019, Scientific Reports.

Differentiated Effective Connectivity Patterns of the Executive Control Network in Progressive MCI: A Potential Biomarker for Predicting AD.

Liyu Huang, Suping Cai, Karen M von Deneen, 2017, Current Alzheimer research.

Approximate entropy of EEG as a measure of cerebral ischemic injury

Liyu Huang, Jianping Liu, Liyu Huang, 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

AMPLITUDE OF LOW FREQUENCY FLUCTUATION AT DIFFERENT FREQUENCY BANDS IN EARLY AMNESTIC MILD COGNITIVE IMPAIRMENT: RESULTS FROM ADNI

Liyu Huang, Liyu Huang, Longlong Jing, 2012 .

Development of a radiomics nomogram based on the 2D and 3D CT features to predict the survival of non-small cell lung cancer patients

Xiaobo Zhou, Tao Wang, Jie Tian, 2018, European Radiology.

Prediction of epileptic seizures using bispectrum analysis of electroencephalograms and artificial neural network

Jingzhi Cheng, Liyu Huang, Qixin Sun, 2003, Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439).

Evaluation of ischemic states using bispectrum parameters of EEG and neural networks

Liyu Huang, Yuemin Wang, Jianping Liu, 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Potential biomarkers for distinguishing people with Alzheimer’s disease from cognitively intact elderly based on the rich-club hierarchical structure of white matter networks

Liyu Huang, Yafei Kang, Suping Cai, 2019, Neuroscience Research.

Structural attributes of the temporal lobe predict face recognition ability in youth

Jun Li, Aifeng Ren, Minghao Dong, 2016, Neuropsychologia.

Discrimination of cerebral ischemic states using bispectrum analysis of EEG and artificial neural network.

Sekou Singare, Liyu Huang, Liyu Huang, 2007, Medical engineering & physics.