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Lihua 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
— 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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Journal Articles
- 2025
- [j38]Shanhui Fan
A novel automatic locating method for pylorus and ileocecal valve in wireless capsule endoscopy. Biomed. Signal Process. Control. 100: 106969 (2025) - 2024
- [j37]Xiaobao Ding, Lin Zhang, Ming Fan
TME-NET: an interpretable deep neural network for predicting pan-cancer immune checkpoint inhibitor responses. Briefings Bioinform. 25(5) (2024) - [j36]Tianxu Lv, Xiaoyan Hong
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) - [j35]Yang Liu
Enhanced dual contrast representation learning with cell separation and merging for breast cancer diagnosis. Comput. Vis. Image Underst. 247: 104065 (2024) - [j34]Jiansong Fan
A local-global unified scheme driven by positionable texture and multi-level boundary for lung cancer organoids segmentation. Expert Syst. Appl. 250: 123888 (2024) - [j33]Ying Yang
Double Transformer Super-Resolution for Breast Cancer ADC Images. IEEE J. Biomed. Health Informatics 28(2): 917-928 (2024) - 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
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
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) - 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
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
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
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
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
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
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
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) - 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) - 2018
- [j15]Yu Li
DEEPre: sequence-based enzyme EC number prediction by deep learning. Bioinform. 34(5): 760-769 (2018) - [j14]Yu Li
DLBI: deep learning guided Bayesian inference for structure reconstruction of super-resolution fluorescence microscopy. Bioinform. 34(13): i284-i294 (2018) - [j13]Meshari Alazmi
A Slice-based 13C-detected NMR Spin System Forming and Resonance Assignment Method. IEEE ACM Trans. Comput. Biol. Bioinform. 15(6): 1999-2008 (2018) - 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) - 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) - 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) - 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) - 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) - 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) - 2006
- [j2]Lihua Li, Zuobao Wu, Angela Salem, Zhao Chen, Li Chen, Florence George
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)
Conference and Workshop Papers
- 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
- [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 - 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 - 2019
- [c36]Peng Zhang, Ming Fan, Yuanzhe Li
DCE-MRI based analysis of intratumor heterogeneity by decomposing method for prediction of HER2 status in breast cancer. Computer-Aided Diagnosis 2019: 109500H - 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
- [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
- [c33]Chengjie Zhang, Lihua Li:
3D segmentation of masses in DCE-MRI images using FCM and adaptive MRF. Image Processing 2014: 90344I - 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
- [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
- [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
- [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 - 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
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
3D Finite Element Modeling of Nonrigid Breast Deformation for Feature Registration in -ray and MR Images. WACV 2007: 38 - 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
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 - 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
Informal and Other Publications
- 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)
Coauthor Index
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