Lihua Li

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 32

Top Topics

Magnetic Resonance

Image Denoising

Top Venues

IEEE J. Biomed. Health Informatics

Comput. Methods Programs Biomed.

Medical Imaging: Computer-Aided Diagnosis

Publications

Tianxu Lv, Xiaoyan Hong, Yuan Liu, Kai Miao, Heng Sun, Lihua Li, Chuxia Deng, Chunjuan Jiang, Xiang Pan
AI-powered interpretable imaging phenotypes noninvasively characterize tumor microenvironment associated with diverse molecular signatures and survival in breast cancer. Comput. Methods Programs Biomed. 243 (2024)
Yang Liu, Yiqi Zhu, Zhehao Gu, Jinshan Pan, Juncheng Li, Ming Fan, Lihua Li, Tieyong Zeng
Enhanced dual contrast representation learning with cell separation and merging for breast cancer diagnosis. Comput. Vis. Image Underst. 247 (2024)
Xiaobao Ding, Lin Zhang, Ming Fan, Lihua Li
TME-NET: an interpretable deep neural network for predicting pan-cancer immune checkpoint inhibitor responses. Briefings Bioinform. 25 (5) (2024)
Jiansong Fan, Tianxu Lv, Shunyuan Jia, Yuan Liu, Ruihong Deng, Zexin Chen, Yu Zhu, Lihua Li, Chunjuan Jiang, Jianming Ni, Xiang Pan
A local-global unified scheme driven by positionable texture and multi-level boundary for lung cancer organoids segmentation. Expert Syst. Appl. 250 (2024)
Ying Yang, Tao Xiang, Xiao Lv, Lihua Li, Lok Ming Lui, Tieyong Zeng
Double Transformer Super-Resolution for Breast Cancer ADC Images. IEEE J. Biomed. Health Informatics 28 (2) (2024)
Tianxu Lv, Yuan Liu, Kai Miao, Lihua Li, Xiang Pan
Diffusion Kinetic Model for Breast Cancer Segmentation in Incomplete DCE-MRI. MICCAI (4) (2023)
Ming Fan, Guangyao Huang, Junhong Lou, Xin Gao, Tieyong Zeng, Lihua Li
Cross-Parametric Generative Adversarial Network-Based Magnetic Resonance Image Feature Synthesis for Breast Lesion Classification. IEEE J. Biomed. Health Informatics 27 (11) (2023)
Youqing Wu, Yihang Wang, Heng Sun, Chunjuan Jiang, Bo Li, Lihua Li, Xiang Pan
Joint model- and immunohistochemistry-driven few-shot learning scheme for breast cancer segmentation on 4D DCE-MRI. Appl. Intell. 53 (11) (2023)
Jian Guan, Ming Fan, Tieyong Zeng, Lihua Li
Learning Common and Task-Specific Radiomic Features via Graph Regularized NMF for the Joint Prediction of Multiple Clinical Indicators in Breast Cancer. IEEE J. Biomed. Health Informatics 27 (10) (2023)
Ming Fan, Chengcheng Yuan, Guangyao Huang, Maosheng Xu, Shiwei Wang, Xin Gao, Lihua Li
A Framework for Deep Multitask Learning With Multiparametric Magnetic Resonance Imaging for the Joint Prediction of Histological Characteristics in Breast Cancer. IEEE J. Biomed. Health Informatics 26 (8) (2022)
Yihang Wang, Chunjuan Jiang, Youqing Wu, Tianxu Lv, Heng Sun, Yuan Liu, Lihua Li, Xiang Pan
Semantic-Powered Explainable Model-Free Few-Shot Learning Scheme of Diagnosing COVID-19 on Chest X-Ray. IEEE J. Biomed. Health Informatics 26 (12) (2022)
Yane Li, Wei Yuan, Ming Fan, Bin Zheng, Lihua Li
Prediction of Short-Term Breast Cancer Risk with Fusion of CC- and MLO-Based Risk Models in Four-View Mammograms. J. Digit. Imaging 35 (4) (2022)
Tianxu Lv, Youqing Wu, Yihang Wang, Yuan Liu, Lihua Li, Chuxia Deng, Xiang Pan
A hybrid hemodynamic knowledge-powered and feature reconstruction-guided scheme for breast cancer segmentation based on DCE-MRI. Medical Image Anal. 82 (2022)
Xiang Pan, Jing Zhu, Hongbin Yu, Lifang Chen, Yuan Liu, Lihua Li
Robust corner detection with fractional calculus for magnetic resonance imaging. Biomed. Signal Process. Control. 63 (2021)
Tianxu Lv, Xiang Pan, Yazhou Zhu, Lihua Li
Unsupervised medical images denoising via graph attention dual adversarial network. Appl. Intell. 51 (6) (2021)
Yazhou Zhu, Xiang Pan, Tianxu Lv, Yuan Liu, Lihua Li
DESN: An unsupervised MR image denoising network with deep image prior. Theor. Comput. Sci. 880 (2021)
Tianxu Lv, Xiang Pan, Lihua Li
DCE-MRI based Breast Intratumor Heterogeneity Analysis via Dual Attention Deep Clustering Network and its Application in Molecular Typing. BIBM (2020)
Ming Fan, Wei Yuan, Wenrui Zhao, Maosheng Xu, Shiwei Wang, Xin Gao, Lihua Li
Joint Prediction of Breast Cancer Histological Grade and Ki-67 Expression Level Based on DCE-MRI and DWI Radiomics. IEEE J. Biomed. Health Informatics 24 (6) (2020)
Xun-Heng Wang, Yun Jiao, Lihua Li
Decoding visual network-related dynamic functional connectivity for eyes-open and eyes-closed using machine learning. Int. J. Imaging Syst. Technol. 30 (2) (2020)
Tingting Wu, Wei Li, Lihua Li, Tieyong Zeng
A Convex Variational Approach for Image Deblurring With Multiplicative Structured Noise. IEEE Access 8 (2020)
Yazhou Zhu, Xiang Pan, Jing Zhu, Lihua Li
Multi-scale Strategy Based 3D Dual-Encoder Brain Tumor Segmentation Network with Attention Mechanism. BIBM (2020)
Liangliang Zhang, Xun-Heng Wang, Lihua Li
Diagnosing autism spectrum disorder using brain entropy: A fast entropy method. Comput. Methods Programs Biomed. 190 (2020)
Yazhou Zhu, Xiang Pan, Jing Zhu, Lihua Li, Yuan Liu
Denoising of Magnetic Resonance Images with Deep Neural Regularizer Driven by Image Prior. DSAA (2020)
Longxi Zhou, Zhongxiao Li, Juexiao Zhou, Haoyang Li, Yupeng Chen, Yuxin Huang, Dexuan Xie, Lintao Zhao, Ming Fan, Shahrukh Hashmi, Faisal Abdelkareem, Riham Eiada, XiGang Xiao, Lihua Li, Zhaowen Qiu, Xin Gao
A Rapid, Accurate and Machine-Agnostic Segmentation and Quantification Method for CT-Based COVID-19 Diagnosis. IEEE Trans. Medical Imaging 39 (8) (2020)
Xiang Pan, Lihua Li, Tao Zhang
Robust and Zero-Phase-Shift Sharpening Filter Based Medical Image Enhancing. J. Medical Imaging Health Informatics 9 (1) (2019)
Peng Zhang, Ming Fan, Yuanzhe Li, Maosheng Xu, Lihua Li
DCE-MRI based analysis of intratumor heterogeneity by decomposing method for prediction of HER2 status in breast cancer. Medical Imaging: Computer-Aided Diagnosis (2019)
Yane Li, Ming Fan, Shichen Liu, Bin Zheng, Lihua Li
Prediction of Short-Term Breast Cancer Risk Based on Deep Convolutional Neural Networks in Mammography. J. Medical Imaging Health Informatics 9 (8) (2019)
Yu Li, Fan Xu, Fa Zhang, Pingyong Xu, Mingshu Zhang, Ming Fan, Lihua Li, Xin Gao, Renmin Han
DLBI: Deep learning guided Bayesian inference for structure reconstruction of super-resolution fluorescence microscopy. CoRR (2018)
Yu Li, Fan Xu, Fa Zhang, Pingyong Xu, Mingshu Zhang, Ming Fan, Lihua Li, Xin Gao, Renmin Han
DLBI: deep learning guided Bayesian inference for structure reconstruction of super-resolution fluorescence microscopy. Bioinform. 34 (13) (2018)
Yu Li, Sheng Wang, Ramzan Umarov, Bingqing Xie, Ming Fan, Lihua Li, Xin Gao
DEEPre: sequence-based enzyme EC number prediction by deep learning. Bioinform. 34 (5) (2018)
Meshari Alazmi, Ahmed Abbas, Xianrong Guo, Ming Fan, Lihua Li, Xin Gao
C-detected NMR Spin System Forming and Resonance Assignment Method. IEEE ACM Trans. Comput. Biol. Bioinform. 15 (6) (2018)
Xun-Heng Wang, Lihua Li
Predicting human age using regional morphometry and inter-regional morphological similarity. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2016)
Bin Zheng, Wei Qian, Lihua Li, Jiantao Pu, Yan Kang, Fleming Lure, Maxine Tan, Yuchen Qiu
A new CAD approach for improving efficacy of cancer screening. Medical Imaging: Computer-Aided Diagnosis (2015)
Ming Fan, Bin Zheng, Lihua Li
A novel Multi-Agent Ada-Boost algorithm for predicting protein structural class with the information of protein secondary structure. J. Bioinform. Comput. Biol. 13 (5) (2015)
Bin Han, Ruifei Xie, Lihua Li, Lei Zhu, Shen Wang
A heuristic biomarker selection approach based on professional tennis player ranking strategy. Comput. Methods Programs Biomed. 113 (1) (2014)
Qian Yang, Lihua Li, Juan Zhang, Guoliang Shao, Chengjie Zhang, Bin Zheng
Computer-Aided Diagnosis of Breast DCE-MRI Images Using Bilateral Asymmetry of Contrast Enhancement Between Two Breasts. J. Digit. Imaging 27 (1) (2014)
Chengjie Zhang, Lihua Li
3D segmentation of masses in DCE-MRI images using FCM and adaptive MRF. Medical Imaging: Image Processing (2014)
Xiang Pan, Yongqiang Ye, Jianhong Wang, Xudong Gao, Chun He, Danwei Wang, Bin Jiang, Lihua Li
Complex Composite Derivative and Its Application to Edge Detection. SIAM J. Imaging Sci. 7 (4) (2014)
Bin Han, Haifeng Lai, Ruifei Xie, Lihua Li, Lei Zhu
Identification of glioma cancer-alerted gene markers based on a diagnostic outcome correlation analysis preferential approach. Int. J. Data Min. Bioinform. 9 (1) (2014)
Qian Yang, Lihua Li, Juan Zhang, Chengjie Zhang, Bin Zheng
Association between bilateral asymmetry of kinetic features computed from the DCE-MRI images and breast cancer. Medical Imaging: Computer-Aided Diagnosis (2013)
Xun Li, Sanqing Hu, Lihua Li, Shanan Zhu
Numerical Study of Magnetoacoustic Signal Generation with Magnetic Induction Based on Inhomogeneous Conductivity Anisotropy. Comput. Math. Methods Medicine 2013 (2013)
Xiangying Wu, Weidong Xu, Lihua Li, Wei Liu, Bin Zheng
A multi-scale approach to mass segmentation using graph cuts. Medical Imaging: Computer-Aided Diagnosis (2012)
Xingwei Wang, Lihua Li, Wei Liu, Weidong Xu, Dror Lederman, Bin Zheng
An Interactive System for Computer-Aided Diagnosis of Breast Masses. J. Digit. Imaging 25 (5) (2012)
Xingwei Wang, Lihua Li, Wei Liu, Weidong Xu, Dror Lederman, Bin Zheng
Improving CAD performance by fusion of the bilateral mammographic tissue asymmetry information. Medical Imaging: Computer-Aided Diagnosis (2012)
Erting Ke, Wei Liu, Weidong Xu, Lihua Li, Bin Zheng, Juan Zhang, Lingnan Zhang
Perceptual mass segmentation using eye-tracking and seed-growing. Medical Imaging: Computer-Aided Diagnosis (2012)
Pengfei Lu, Wei Liu, Weidong Xu, Lihua Li, Bin Zheng, Juan Zhang, Lingnan Zhang
Multi-instance learning for mass retrieval in digitized mammograms. Medical Imaging: Computer-Aided Diagnosis (2012)
Bin Han, Lihua Li, Yan Chen, Lei Zhu, Qi Dai
A two step method to identify clinical outcome relevant genes with microarray data. J. Biomed. Informatics 44 (2) (2011)
Yan-E. Li, Juan Zhang, Bin Han, Lihua Li
Identifying Ovarian Cancer Chemotherapy Response Relevant Gene Cliques. BIBM (2011)
Ruifei Xie, Bin Han, Lihua Li, Juan Zhang, Lei Zhu
Professional tennis player ranking strategy based Monte Carlo feature selection. BIBM Workshops (2011)
Qi Dai, Li Wu, Lihua Li
Improving protein structural class prediction using novel combined sequence information and predicted secondary structural features. J. Comput. Chem. 32 (16) (2011)
Wei Liu, Weidong Xu, Lihua Li, Shuang Li, Huanping Zhao, Juan Zhang
Improved mammographic mass retrieval performance using multi-view information. BIBM (2010)
Qi Dai, Xiao-Qing Liu, Lihua Li, Yuhua Yao, Bin Han, Lei Zhu
Using Gaussian model to improve biological sequence comparison. J. Comput. Chem. 31 (2) (2010)
Fangqing Peng, Lihua Li, Weidong Xu, Wei Liu
Multi-agent method for masses classification in mammogram. Medical Imaging: Computer-Aided Diagnosis (2010)
Hongwei Yu, Lihua Li, Weidong Xu, Wei Liu
A multi-scale approach to mass segmentation using active contour models. Medical Imaging: Image Processing (2010)
Li Wu, Qi Dai, Bin Han, Lei Zhu, Lihua Li
Prediction of protein structural class using a combined representation of protein-sequence information and support vector machine. BIBM Workshops (2010)
Jiqing Ke, Lei Zhu, Bin Han, Qi Dai, Yaojia Wang, Lihua Li, Shenhua Xu, Hangzhou Mou, Zhiguo Zheng
Sparse representation based feature selection for mass spectrometry data. BIBM Workshops (2010)
Li Sun, Weidong Xu, Lihua Li, Wei Liu, Juan Zhang, Guoliang Shao
A new multi-view identification scheme for breast masses in mammography using multi-agent algorithm. ICCA (2010)
Lei Zhu, Bin Han, Lihua Li, Shenhua Xu, Hangzhou Mou, Zhiguo Zheng
Null Space LDA Based Feature Extraction of Mass Spectrometry Data for Cancer Classification. BMEI (2009)
Qing Wang, Bin Han, Yan Chen, Shufei Chen, Lihua Li, Haifeng Lai, Shenhua Xu, Zhiguo Zheng, Hangzhou Mou
A Monte Carlo Reliability Study of the Assessment of Chemotherapy Responses in Ovarian Cancer Treatment. BMEI (2009)
Bin Han, Guoliang Li, Tze-Yun Leong, Yanchun Zhang, Lihua Li, Wei Liu, Lei Zhu, Weidong Xu
Identifying Causal Effects from Data for the Clinical Ventilation Process Modelling. BMEI (1) (2008)
Wei Liu, Weidong Xu, Lihua Li
Medical Image Retrieval Based on Bidimensional Empirical Mode Decomposition. BIBE (2007)
Yong Zhang, Yan Qiu, Dmitry B. Goldgof, Sudeep Sarkar, Lihua Li
3D Finite Element Modeling of Nonrigid Breast Deformation for Feature Registration in -ray and MR Images. WACV (2007)
Lihua Li, Zuobao Wu, Angela Salem, Zhao Chen, Li Chen, Florence George, Maria Kallergi, Claudia Berman
Computerized analysis of tissue density effect on missed cancer detection in digital mammography. Comput. Medical Imaging Graph. 30 (5) (2006)
Yan Qiu, Lihua Li, Dmitry B. Goldgof, Sudeep Sarkar, Sorin Anton, Robert A. Clark
Three-dimensional finite element model for lesion correspondence in breast imaging. Medical Imaging: Image Processing (2004)
Yan Qiu, Dmitry B. Goldgof, Lihua Li, Sudeep Sarkar, Yong Zhang, Sorin Anton
Correspondence Recovery In 2-View Mammography. ISBI (2004)
Ming Hong Pi, Chun Hung Li, Lihua Li
Image indexing based on fractal feature. ICME (2004)
Lihua Li, Hong Tang, Zuobao Wu, Jianli Gong, Michael Gruidl, Jun Zou, Melvyn Tockman, Robert A. Clark
Data mining techniques for cancer detection using serum proteomic profiling. Artif. Intell. Medicine 32 (2) (2004)
Yong Chu, Lihua Li, Dmitry B. Goldgof, Yan Qiu, Robert A. Clark
Classification of masses on mammograms using support vector machine. Medical Imaging: Image Processing (2003)
Lihua Li, Yong Chu, Angela F. Salem, Robert A. Clark
Image segmentation and 3D visualization for MRI mammography. Medical Imaging: Image Processing (2002)
Yong Chu, Lihua Li, Robert A. Clark
Graph-based region growing for mass-segmentation in digital mammography. Medical Imaging: Image Processing (2002)
Yang Zheng, Lihua Li, Maria Kallergi, Wei Qian, Robert A. Clark
Improved method for automatic identification of lung regions in chest radiographs. Medical Imaging: Image Processing (2000)
Lihua Li, Wei Qian, Laurence P. Clarke, Robert A. Clark, Jerry A. Thomas
Improving mass detection by adaptive and multiscale processing in digitized mammograms. Medical Imaging: Image Processing (1999)
Lihua Li, Wei Qian, Laurence P. Clarke
Image feature extraction for mass detection in digital mammography: effects of wavelet analysis. Medical Imaging: Image Processing (1998)
Wei Qian, Lihua Li, Laurence P. Clarke, Fei Mao, Robert A. Clark, Jerry A. Thomas
A Computer Assisted Diagnostic System for Mass Detection. Digital Mammography / IWDM (1998)
Lihua Li, Fei Mao, Wei Qian, Laurence P. Clarke
Wavelet transform for directional feature extraction in medical imaging. ICIP (3) (1997)
Lihua Li, Wei Qian, Laurence P. Clarke
X-ray medical image processing using directional wavelet transform. ICASSP (1996)
Xiqi Gao, X. D. Wang, Lihua Li, H. Zhang, Zhenya He
Decision feedback neural network coherent receivers for continuous phase modulation based on frequency domain. ICASSP (1995)
Ce Zhu, Lihua Li, Zhenya He, Jun Wang
A new competitive learning algorithm for vector quantization. ICASSP (2) (1994)