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ORCIDLihua Li 0002
Person information
- affiliation: Hangzhou Dianzi University
- affiliation: H. Lee Moffitt Cancer Center & Research Institute
- affiliation: University of South Florida
- affiliation: Southeast University, China
Other persons with the same name
- Lihua Li — disambiguation page
- Lihua Li 0001
![[0000-0002-4470-9252]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-4470-9252")
— Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, China - Lihua Li 0003 — NASA Goddard Space Flight Center
- Lihua Li 0004 — One Cycle Control (and 1 more)
- Lihua Li 0005 — Military Transportation University PLA, Tianjin
- Lihua Li 0006 — Hebei Normal University of Science & Technology, Dept. of Mathematics-Physics
- Lihua Li 0007 — Shanghai University of Electric Power
- Lihua Li 0008 — Hebei University of Engineering
- Lihua Li 0009 — Tongji University, School of Economics and Management
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2020 – today
- 2025
[j39]Shanhui Fan, Shangguang Wei, Kaihua Wei, Shichen Liu, Yihong Fan, Bin Lv, Lihua Li:
A novel automatic locating method for pylorus and ileocecal valve in wireless capsule endoscopy. Biomed. Signal Process. Control. 100: 106969 (2025)- 2024
- [j38]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) - [j37]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: 107857 (2024) - [j36]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: 104065 (2024) - [j35]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: 123888 (2024) - [j34]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): 917-928 (2024) - [j33]Jiansong Fan, Tianxu Lv, Pei Wang, Xiaoyan Hong, Yuan Liu, Chunjuan Jiang, Jianming Ni, Lihua Li, Xiang Pan:
DCDiff: Dual-Granularity Cooperative Diffusion Models for Pathology Image Analysis. IEEE Trans. Medical Imaging 43(12): 4393-4403 (2024) - [c42]Xiang Pan, Shiyun Nie, Tianxu Lv, Lihua Li:
Hemodynamic-Driven Multi-prototypes Learning for One-Shot Segmentation in Breast Cancer DCE-MRI. MICCAI (9) 2024: 318-327 - [c41]Jiansong Fan, Tianxu Lv, Yicheng Di, Lihua Li, Xiang Pan:
PathMamba: Weakly Supervised State Space Model for Multi-class Segmentation of Pathology Images. MICCAI (8) 2024: 500-509 - 2023
- [j32]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): 14602-14614 (2023) - [j31]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): 4792-4803 (2023) - [j30]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): 5495-5505 (2023) - [c40]Tianxu Lv, Yuan Liu, Kai Miao, Lihua Li, Xiang Pan:
Diffusion Kinetic Model for Breast Cancer Segmentation in Incomplete DCE-MRI. MICCAI (4) 2023: 100-109 - 2022
- [j29]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): 910-922 (2022) - [j28]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: 102572 (2022) - [j27]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): 3884-3895 (2022) - [j26]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): 5870-5882 (2022) - 2021
- [j25]Tianxu Lv, Xiang Pan, Yazhou Zhu, Lihua Li:
Unsupervised medical images denoising via graph attention dual adversarial network. Appl. Intell. 51(6): 4094-4105 (2021) - [j24]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: 102112 (2021) - [j23]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: 97-110 (2021) - 2020
- [j22]Tingting Wu, Wei Li, Lihua Li, Tieyong Zeng:
A Convex Variational Approach for Image Deblurring With Multiplicative Structured Noise. IEEE Access 8: 37790-37807 (2020) - [j21]Liangliang Zhang, Xun-Heng Wang, Lihua Li:
Diagnosing autism spectrum disorder using brain entropy: A fast entropy method. Comput. Methods Programs Biomed. 190: 105240 (2020) - [j20]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): 455-463 (2020) - [j19]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): 1632-1642 (2020) - [j18]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): 2638-2652 (2020) - [c39]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: 681-686 - [c38]Yazhou Zhu, Xiang Pan, Jing Zhu, Lihua Li:
Multi-scale Strategy Based 3D Dual-Encoder Brain Tumor Segmentation Network with Attention Mechanism. BIBM 2020: 952-957 - [c37]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: 255-263
2010 – 2019
- 2019
- [j17]Xiang Pan, Lihua Li, Tao Zhang:
Robust and Zero-Phase-Shift Sharpening Filter Based Medical Image Enhancing. J. Medical Imaging Health Informatics 9(1): 15-22 (2019) - [j16]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): 1663-1672 (2019) - [c36]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. Computer-Aided Diagnosis 2019: 109500H - 2018
- [j15]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): 760-769 (2018) - [j14]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): i284-i294 (2018) - [j13]Meshari Alazmi, Ahmed Abbas, Xianrong Guo, Ming Fan, Lihua Li, Xin Gao:
A Slice-based 13C-detected NMR Spin System Forming and Resonance Assignment Method. IEEE ACM Trans. Comput. Biol. Bioinform. 15(6): 1999-2008 (2018) - [i1]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 abs/1805.07777 (2018) - 2016
- [c35]Xun-Heng Wang, Lihua Li:
Predicting human age using regional morphometry and inter-regional morphological similarity. Biomedical Applications in Molecular, Structural, and Functional Imaging 2016: 978821 - 2015
- [j12]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): 1550022:1-1550022:17 (2015) - [c34]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. Computer-Aided Diagnosis 2015: 941424 - 2014
- [j11]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): 186-201 (2014) - [j10]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): 67-88 (2014) - [j9]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): 152-160 (2014) - [j8]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): 2807-2832 (2014) - [c33]Chengjie Zhang, Lihua Li:
3D segmentation of masses in DCE-MRI images using FCM and adaptive MRF. Image Processing 2014: 90344I - 2013
- [j7]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: 161357:1-161357:13 (2013) - [c32]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. Computer-Aided Diagnosis 2013: 86701F - 2012
- [j6]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): 570-579 (2012) - [c31]Xingwei Wang, Lihua Li, Wei Liu, Weidong Xu, Dror Lederman, Bin Zheng:
Improving CAD performance by fusion of the bilateral mammographic tissue asymmetry information. Computer-Aided Diagnosis 2012: 831508 - [c30]Erting Ke, Wei Liu, Weidong Xu, Lihua Li, Bin Zheng, Juan Zhang, Lingnan Zhang:
Perceptual mass segmentation using eye-tracking and seed-growing. Computer-Aided Diagnosis 2012: 831520 - [c29]Pengfei Lu, Wei Liu, Weidong Xu, Lihua Li, Bin Zheng, Juan Zhang, Lingnan Zhang:
Multi-instance learning for mass retrieval in digitized mammograms. Computer-Aided Diagnosis 2012: 831523 - [c28]Xiangying Wu, Weidong Xu, Lihua Li, Wei Liu, Bin Zheng:
A multi-scale approach to mass segmentation using graph cuts. Computer-Aided Diagnosis 2012: 831526 - 2011
- [j5]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): 229-238 (2011) - [j4]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): 3393-3398 (2011) - [c27]Ruifei Xie, Bin Han, Lihua Li, Juan Zhang, Lei Zhu:
Professional tennis player ranking strategy based Monte Carlo feature selection. BIBM Workshops 2011: 165-172 - [c26]Yan-E. Li, Juan Zhang, Bin Han, Lihua Li:
Identifying Ovarian Cancer Chemotherapy Response Relevant Gene Cliques. BIBM 2011: 294-298 - 2010
- [j3]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): 351-361 (2010) - [c25]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: 57-62 - [c24]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: 101-106 - [c23]Wei Liu, Weidong Xu, Lihua Li, Shuang Li, Huanping Zhao, Juan Zhang:
Improved mammographic mass retrieval performance using multi-view information. BIBM 2010: 410-415 - [c22]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: 263-266 - [c21]Fangqing Peng, Lihua Li, Weidong Xu, Wei Liu:
Multi-agent method for masses classification in mammogram. Computer-Aided Diagnosis 2010: 76242K - [c20]Hongwei Yu, Lihua Li, Weidong Xu, Wei Liu:
A multi-scale approach to mass segmentation using active contour models. Image Processing 2010: 762343
2000 – 2009
- 2009
- [c19]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: 1-4 - [c18]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: 1-4 - 2008
- [c17]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: 517-521 - 2007
- [c16]Wei Liu, Weidong Xu, Lihua Li:
Medical Image Retrieval Based on Bidimensional Empirical Mode Decomposition. BIBE 2007: 641-646 - [c15]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: 38 - 2006
- [j2]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): 291-297 (2006) - 2004
- [j1]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): 71-83 (2004) - [c14]Ming Hong Pi, Chun Hung Li, Lihua Li:
Image indexing based on fractal feature. ICME 2004: 899-902 - [c13]Yan Qiu, Dmitry B. Goldgof, Lihua Li, Sudeep Sarkar, Yong Zhang, Sorin Anton:
Correspondence Recovery In 2-View Mammography. ISBI 2004: 197-200 - [c12]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. Image Processing 2004 - 2003
- [c11]Yong Chu, Lihua Li, Dmitry B. Goldgof, Yan Qiu, Robert A. Clark:
Classification of masses on mammograms using support vector machine. Image Processing 2003 - 2002
- [c10]Lihua Li, Yong Chu, Angela F. Salem, Robert A. Clark:
Image segmentation and 3D visualization for MRI mammography. Image Processing 2002 - [c9]Yong Chu, Lihua Li, Robert A. Clark:
Graph-based region growing for mass-segmentation in digital mammography. Image Processing 2002 - 2000
- [c8]Yang Zheng, Lihua Li, Maria Kallergi, Wei Qian, Robert A. Clark:
Improved method for automatic identification of lung regions in chest radiographs. Image Processing 2000
1990 – 1999
- 1999
- [c7]Lihua Li, Wei Qian, Laurence P. Clarke, Robert A. Clark, Jerry A. Thomas:
Improving mass detection by adaptive and multiscale processing in digitized mammograms. Image Processing 1999 - 1998
- [c6]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: 79-86 - [c5]Lihua Li, Wei Qian, Laurence P. Clarke:
Image feature extraction for mass detection in digital mammography: effects of wavelet analysis. Image Processing 1998 - 1997
- [c4]Lihua Li, Fei Mao, Wei Qian, Laurence P. Clarke:
Wavelet transform for directional feature extraction in medical imaging. ICIP (3) 1997: 500-503 - 1996
- [c3]Lihua Li, Wei Qian, Laurence P. Clarke:
X-ray medical image processing using directional wavelet transform. ICASSP 1996: 2251-2254 - 1995
- [c2]Xi-Qi 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: 3411-3414 - 1994
- [c1]Ce Zhu, Lihua Li, Zhenya He, Jun Wang:
A new competitive learning algorithm for vector quantization. ICASSP (2) 1994: 557-560
Coauthor Index
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