A new competitive learning algorithm for vector quantization. - Ce Zhu; Lihua Li 002; Zhenya He; Jun Wang 002 (ICASSP (2), 1994)

Decision feedback neural network coherent receivers for continuous phase modulation based on frequency domain. - Xi-Qi Gao 001; X. D. Wang; Lihua Li 002; H. Zhang; Zhenya He (ICASSP, 1995)

X-ray medical image processing using directional wavelet transform. - Lihua Li 002; Wei Qian 001; Laurence P. Clarke (ICASSP, 1996)

Wavelet transform for directional feature extraction in medical imaging. - Lihua Li 002; Fei Mao; Wei Qian 001; Laurence P. Clarke (ICIP (3), 1997)

A Computer Assisted Diagnostic System for Mass Detection. - Wei Qian 001; Lihua Li 002; Laurence P. Clarke; Fei Mao; Robert A. Clark; Jerry A. Thomas (Digital Mammography / IWDM, 1998)

Image feature extraction for mass detection in digital mammography: effects of wavelet analysis. - Lihua Li 002; Wei Qian 001; Laurence P. Clarke (Image Processing, 1998)

Improving mass detection by adaptive and multiscale processing in digitized mammograms. - Lihua Li 002; Wei Qian 001; Laurence P. Clarke; Robert A. Clark; Jerry A. Thomas (Image Processing, 1999)

Improved method for automatic identification of lung regions in chest radiographs. - Yang Zheng; Lihua Li 002; Maria Kallergi; Wei Qian 001; Robert A. Clark (Image Processing, 2000)

Image segmentation and 3D visualization for MRI mammography. - Lihua Li 002; Yong Chu; Angela F. Salem; Robert A. Clark (Image Processing, 2002)

Graph-based region growing for mass-segmentation in digital mammography. - Yong Chu; Lihua Li 002; Robert A. Clark (Image Processing, 2002)

Classification of masses on mammograms using support vector machine. - Yong Chu; Lihua Li 002; Dmitry B. Goldgof; Yan Qiu; Robert A. Clark (Image Processing, 2003)

Image indexing based on fractal feature. - Ming Hong Pi; Chun Hung Li; Lihua Li 002 (ICME, 2004)

Correspondence Recovery In 2-View Mammography. - Yan Qiu; Dmitry B. Goldgof; Lihua Li 002; Sudeep Sarkar; Yong Zhang 017; Sorin Anton (ISBI, 2004)

Three-dimensional finite element model for lesion correspondence in breast imaging. - Yan Qiu; Lihua Li 002; Dmitry B. Goldgof; Sudeep Sarkar; Sorin Anton; Robert A. Clark (Image Processing, 2004)

Data mining techniques for cancer detection using serum proteomic profiling. - Lihua Li 002; Hong Tang; Zuobao Wu; Jianli Gong; Michael Gruidl; Jun Zou; Melvyn Tockman; Robert A. Clark (Artif. Intell. Medicine, 2004)

Computerized analysis of tissue density effect on missed cancer detection in digital mammography. - Lihua Li 002; Zuobao Wu; Angela Salem; Zhao Chen; Li Chen; Florence George; Maria Kallergi; Claudia Berman (Comput. Medical Imaging Graph., 2006)

Medical Image Retrieval Based on Bidimensional Empirical Mode Decomposition. - Wei Liu 040; Weidong Xu; Lihua Li 002 (BIBE, 2007)

3D Finite Element Modeling of Nonrigid Breast Deformation for Feature Registration in -ray and MR Images. - Yong Zhang 017; Yan Qiu; Dmitry B. Goldgof; Sudeep Sarkar; Lihua Li 002 (WACV, 2007)

Identifying Causal Effects from Data for the Clinical Ventilation Process Modelling. - Bin Han 009; Guoliang Li 002; Tze-Yun Leong; Yanchun Zhang; Lihua Li 002; Wei Liu 040; Lei Zhu; Weidong Xu (BMEI (1), 2008)

A Monte Carlo Reliability Study of the Assessment of Chemotherapy Responses in Ovarian Cancer Treatment. - Qing Wang; Bin Han 009; Yan Chen; Shufei Chen; Lihua Li 002; Haifeng Lai; Shenhua Xu; Zhiguo Zheng; Hangzhou Mou (BMEI, 2009)

Null Space LDA Based Feature Extraction of Mass Spectrometry Data for Cancer Classification. - Lei Zhu; Bin Han 009; Lihua Li 002; Shenhua Xu; Hangzhou Mou; Zhiguo Zheng (BMEI, 2009)

Sparse representation based feature selection for mass spectrometry data. - Jiqing Ke; Lei Zhu; Bin Han 009; Qi Dai; Yaojia Wang; Lihua Li 002; Shenhua Xu; Hangzhou Mou; Zhiguo Zheng (BIBM Workshops, 2010)

Improved mammographic mass retrieval performance using multi-view information. - Wei Liu 040; Weidong Xu; Lihua Li 002; Shuang Li; Huanping Zhao; Juan Zhang (BIBM, 2010)

Prediction of protein structural class using a combined representation of protein-sequence information and support vector machine. - Li Wu; Qi Dai; Bin Han 009; Lei Zhu; Lihua Li 002 (BIBM Workshops, 2010)

A new multi-view identification scheme for breast masses in mammography using multi-agent algorithm. - Li Sun; Weidong Xu; Lihua Li 002; Wei Liu 040; Juan Zhang; Guoliang Shao (ICCA, 2010)

Multi-agent method for masses classification in mammogram. - Fangqing Peng; Lihua Li 002; Weidong Xu; Wei Liu 040 (Computer-Aided Diagnosis, 2010)

A multi-scale approach to mass segmentation using active contour models. - Hongwei Yu; Lihua Li 002; Weidong Xu; Wei Liu 040 (Image Processing, 2010)

Using Gaussian model to improve biological sequence comparison. - Qi Dai; Xiao-Qing Liu; Lihua Li 002; Yuhua Yao; Bin Han 009; Lei Zhu (J. Comput. Chem., 2010)

Identifying Ovarian Cancer Chemotherapy Response Relevant Gene Cliques. - Yan-E. Li; Juan Zhang; Bin Han 009; Lihua Li 002 (BIBM, 2011)

Professional tennis player ranking strategy based Monte Carlo feature selection. - Ruifei Xie; Bin Han 009; Lihua Li 002; Juan Zhang; Lei Zhu (BIBM Workshops, 2011)

A two step method to identify clinical outcome relevant genes with microarray data. - Bin Han 009; Lihua Li 002; Yan Chen; Lei Zhu; Qi Dai (J. Biomed. Informatics, 2011)

Improving protein structural class prediction using novel combined sequence information and predicted secondary structural features. - Qi Dai; Li Wu; Lihua Li 002 (J. Comput. Chem., 2011)

Perceptual mass segmentation using eye-tracking and seed-growing. - Erting Ke; Wei Liu 040; Weidong Xu; Lihua Li 002; Bin Zheng 001; Juan Zhang; Lingnan Zhang (Computer-Aided Diagnosis, 2012)

Multi-instance learning for mass retrieval in digitized mammograms. - Pengfei Lu; Wei Liu 040; Weidong Xu; Lihua Li 002; Bin Zheng 001; Juan Zhang; Lingnan Zhang (Computer-Aided Diagnosis, 2012)

Improving CAD performance by fusion of the bilateral mammographic tissue asymmetry information. - Xingwei Wang 004; Lihua Li 002; Wei Liu 040; Weidong Xu; Dror Lederman; Bin Zheng 001 (Computer-Aided Diagnosis, 2012)

A multi-scale approach to mass segmentation using graph cuts. - Xiangying Wu; Weidong Xu; Lihua Li 002; Wei Liu 040; Bin Zheng 001 (Computer-Aided Diagnosis, 2012)

An Interactive System for Computer-Aided Diagnosis of Breast Masses. - Xingwei Wang 004; Lihua Li 002; Wei Liu 040; Weidong Xu; Dror Lederman; Bin Zheng 001 (J. Digit. Imaging, 2012)

Association between bilateral asymmetry of kinetic features computed from the DCE-MRI images and breast cancer. - Qian Yang; Lihua Li 002; Juan Zhang; Chengjie Zhang; Bin Zheng 001 (Computer-Aided Diagnosis, 2013)

Numerical Study of Magnetoacoustic Signal Generation with Magnetic Induction Based on Inhomogeneous Conductivity Anisotropy. - Xun Li; Sanqing Hu; Lihua Li 002; Shanan Zhu (Comput. Math. Methods Medicine, 2013)

3D segmentation of masses in DCE-MRI images using FCM and adaptive MRF. - Chengjie Zhang; Lihua Li 002 (Image Processing, 2014)

A heuristic biomarker selection approach based on professional tennis player ranking strategy. - Bin Han 009; Ruifei Xie; Lihua Li 002; Lei Zhu; Shen Wang (Comput. Methods Programs Biomed., 2014)

Identification of glioma cancer-alerted gene markers based on a diagnostic outcome correlation analysis preferential approach. - Bin Han 009; Haifeng Lai; Ruifei Xie; Lihua Li 002; Lei Zhu (Int. J. Data Min. Bioinform., 2014)

Computer-Aided Diagnosis of Breast DCE-MRI Images Using Bilateral Asymmetry of Contrast Enhancement Between Two Breasts. - Qian Yang; Lihua Li 002; Juan Zhang; Guoliang Shao; Chengjie Zhang; Bin Zheng 001 (J. Digit. Imaging, 2014)

Complex Composite Derivative and Its Application to Edge Detection. - Xiang Pan; Yongqiang Ye; Jianhong Wang; Xudong Gao 002; Chun He; Danwei Wang; Bin Jiang; Lihua Li 002 (SIAM J. Imaging Sci., 2014)

A new CAD approach for improving efficacy of cancer screening. - Bin Zheng 001; Wei Qian 001; Lihua Li 002; Jiantao Pu; Yan Kang; Fleming Lure; Maxine Tan; Yuchen Qiu (Computer-Aided Diagnosis, 2015)

A novel Multi-Agent Ada-Boost algorithm for predicting protein structural class with the information of protein secondary structure. - Ming Fan 003; Bin Zheng 001; Lihua Li 002 (J. Bioinform. Comput. Biol., 2015)

Predicting human age using regional morphometry and inter-regional morphological similarity. - Xun-Heng Wang; Lihua Li 002 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2016)

DEEPre: sequence-based enzyme EC number prediction by deep learning. - Yu Li 006; Sheng Wang 001; Ramzan Umarov; Bingqing Xie; Ming Fan 003; Lihua Li 002; Xin Gao 001 (Bioinform., 2018)

DLBI: deep learning guided Bayesian inference for structure reconstruction of super-resolution fluorescence microscopy. - Yu Li 006; Fan Xu; Fa Zhang 001; Pingyong Xu; Mingshu Zhang; Ming Fan 003; Lihua Li 002; Xin Gao 001; Renmin Han (Bioinform., 2018)

A Slice-based 13C-detected NMR Spin System Forming and Resonance Assignment Method. - Meshari Alazmi; Ahmed Abbas; Xianrong Guo; Ming Fan 003; Lihua Li 002; Xin Gao 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

DCE-MRI based analysis of intratumor heterogeneity by decomposing method for prediction of HER2 status in breast cancer. - Peng Zhang; Ming Fan 003; Yuanzhe Li; Maosheng Xu; Lihua Li 002 (Computer-Aided Diagnosis, 2019)

Prediction of Short-Term Breast Cancer Risk Based on Deep Convolutional Neural Networks in Mammography. - Yane Li; Ming Fan 003; Shichen Liu; Bin Zheng 001; Lihua Li 002 (J. Medical Imaging Health Informatics, 2019)

Robust and Zero-Phase-Shift Sharpening Filter Based Medical Image Enhancing. - Xiang Pan; Lihua Li 002; Tao Zhang (J. Medical Imaging Health Informatics, 2019)

DCE-MRI based Breast Intratumor Heterogeneity Analysis via Dual Attention Deep Clustering Network and its Application in Molecular Typing. - Tianxu Lv; Xiang Pan; Lihua Li 002 (BIBM, 2020)

Multi-scale Strategy Based 3D Dual-Encoder Brain Tumor Segmentation Network with Attention Mechanism. - Yazhou Zhu; Xiang Pan; Jing Zhu; Lihua Li 002 (BIBM, 2020)

Denoising of Magnetic Resonance Images with Deep Neural Regularizer Driven by Image Prior. - Yazhou Zhu; Xiang Pan; Jing Zhu; Lihua Li 002; Yuan Liu 021 (DSAA, 2020)

A Convex Variational Approach for Image Deblurring With Multiplicative Structured Noise. - Tingting Wu 001; Wei Li 146; Lihua Li 002; Tieyong Zeng (IEEE Access, 2020)

Diagnosing autism spectrum disorder using brain entropy: A fast entropy method. - Liangliang Zhang; Xun-Heng Wang; Lihua Li 002 (Comput. Methods Programs Biomed., 2020)

Decoding visual network-related dynamic functional connectivity for eyes-open and eyes-closed using machine learning. - Xun-Heng Wang; Yun Jiao; Lihua Li 002 (Int. J. Imaging Syst. Technol., 2020)

Joint Prediction of Breast Cancer Histological Grade and Ki-67 Expression Level Based on DCE-MRI and DWI Radiomics. - Ming Fan 003; Wei Yuan; Wenrui Zhao; Maosheng Xu; Shiwei Wang; Xin Gao 001; Lihua Li 002 (IEEE J. Biomed. Health Informatics, 2020)

A Rapid, Accurate and Machine-Agnostic Segmentation and Quantification Method for CT-Based COVID-19 Diagnosis. - Longxi Zhou; Zhongxiao Li; Juexiao Zhou; Haoyang Li; Yupeng Chen; Yuxin Huang; Dexuan Xie; Lintao Zhao; Ming Fan 003; Shahrukh Hashmi; Faisal Abdelkareem; Riham Eiada; et al. (IEEE Trans. Medical Imaging, 2020)

Unsupervised medical images denoising via graph attention dual adversarial network. - Tianxu Lv; Xiang Pan; Yazhou Zhu; Lihua Li 002 (Appl. Intell., 2021)

Robust corner detection with fractional calculus for magnetic resonance imaging. - Xiang Pan; Jing Zhu; Hongbin Yu; Lifang Chen; Yuan Liu 021; Lihua Li 002 (Biomed. Signal Process. Control., 2021)

DESN: An unsupervised MR image denoising network with deep image prior. - Yazhou Zhu; Xiang Pan; Tianxu Lv; Yuan Liu 021; Lihua Li 002 (Theor. Comput. Sci., 2021)

Prediction of Short-Term Breast Cancer Risk with Fusion of CC- and MLO-Based Risk Models in Four-View Mammograms. - Yane Li; Wei Yuan; Ming Fan 003; Bin Zheng 001; Lihua Li 002 (J. Digit. Imaging, 2022)

A hybrid hemodynamic knowledge-powered and feature reconstruction-guided scheme for breast cancer segmentation based on DCE-MRI. - Tianxu Lv; Youqing Wu; Yihang Wang 003; Yuan Liu 021; Lihua Li 002; Chuxia Deng; Xiang Pan (Medical Image Anal., 2022)

A Framework for Deep Multitask Learning With Multiparametric Magnetic Resonance Imaging for the Joint Prediction of Histological Characteristics in Breast Cancer. - Ming Fan 003; Chengcheng Yuan; Guangyao Huang; Maosheng Xu; Shiwei Wang; Xin Gao 001; Lihua Li 002 (IEEE J. Biomed. Health Informatics, 2022)

Semantic-Powered Explainable Model-Free Few-Shot Learning Scheme of Diagnosing COVID-19 on Chest X-Ray. - Yihang Wang 003; Chunjuan Jiang; Youqing Wu; Tianxu Lv; Heng Sun; Yuan Liu 021; Lihua Li 002; Xiang Pan (IEEE J. Biomed. Health Informatics, 2022)

Diffusion Kinetic Model for Breast Cancer Segmentation in Incomplete DCE-MRI. - Tianxu Lv; Yuan Liu 021; Kai Miao; Lihua Li 002; Xiang Pan (MICCAI (4), 2023)

Joint model- and immunohistochemistry-driven few-shot learning scheme for breast cancer segmentation on 4D DCE-MRI. - Youqing Wu; Yihang Wang 003; Heng Sun; Chunjuan Jiang; Bo Li; Lihua Li 002; Xiang Pan (Appl. Intell., 2023)

Learning Common and Task-Specific Radiomic Features via Graph Regularized NMF for the Joint Prediction of Multiple Clinical Indicators in Breast Cancer. - Jian Guan 007; Ming Fan 003; Tieyong Zeng; Lihua Li 002 (IEEE J. Biomed. Health Informatics, 2023)

Cross-Parametric Generative Adversarial Network-Based Magnetic Resonance Image Feature Synthesis for Breast Lesion Classification. - Ming Fan 003; Guangyao Huang; Junhong Lou; Xin Gao 001; Tieyong Zeng; Lihua Li 002 (IEEE J. Biomed. Health Informatics, 2023)

PathMamba: Weakly Supervised State Space Model for Multi-class Segmentation of Pathology Images. - Jiansong Fan; Tianxu Lv; Yicheng Di; Lihua Li 002; Xiang Pan (MICCAI (8), 2024)

Hemodynamic-Driven Multi-prototypes Learning for One-Shot Segmentation in Breast Cancer DCE-MRI. - Xiang Pan; Shiyun Nie; Tianxu Lv; Lihua Li 002 (MICCAI (9), 2024)

TME-NET: an interpretable deep neural network for predicting pan-cancer immune checkpoint inhibitor responses. - Xiaobao Ding; Lin Zhang; Ming Fan 003; Lihua Li 002 (Briefings Bioinform., 2024)

Enhanced dual contrast representation learning with cell separation and merging for breast cancer diagnosis. - Yang Liu 119; Yiqi Zhu; Zhehao Gu; Jinshan Pan; Juncheng Li 003; Ming Fan 003; Lihua Li 002; Tieyong Zeng (Comput. Vis. Image Underst., 2024)

A local-global unified scheme driven by positionable texture and multi-level boundary for lung cancer organoids segmentation. - Jiansong Fan; Tianxu Lv; Shunyuan Jia; Yuan Liu 021; Ruihong Deng; Zexin Chen; Yu Zhu; Lihua Li 002; Chunjuan Jiang; Jianming Ni; Xiang Pan (Expert Syst. Appl., 2024)

AI-powered interpretable imaging phenotypes noninvasively characterize tumor microenvironment associated with diverse molecular signatures and survival in breast cancer. - Tianxu Lv; Xiaoyan Hong; Yuan Liu 021; Kai Miao; Heng Sun; Lihua Li 002; Chuxia Deng; Chunjuan Jiang; Xiang Pan (Comput. Methods Programs Biomed., 2024)

Double Transformer Super-Resolution for Breast Cancer ADC Images. - Ying Yang 019; Tao Xiang 001; Xiao Lv; Lihua Li 002; Lok Ming Lui; Tieyong Zeng (IEEE J. Biomed. Health Informatics, 2024)

DCDiff: Dual-Granularity Cooperative Diffusion Models for Pathology Image Analysis. - Jiansong Fan; Tianxu Lv; Pei Wang; Xiaoyan Hong; Yuan Liu 021; Chunjuan Jiang; Jianming Ni; Lihua Li 002; Xiang Pan (IEEE Trans. Medical Imaging, 2024)

A novel automatic locating method for pylorus and ileocecal valve in wireless capsule endoscopy. - Shanhui Fan; Shangguang Wei; Kaihua Wei; Shichen Liu; Yihong Fan; Bin Lv; Lihua Li 002 (Biomed. Signal Process. Control., 2025)

DIPathMamba: A domain-incremental weakly supervised state space model for pathology image segmentation. - Jiansong Fan; Qi Sun; Yicheng Di; Jiayu Bao; Tianxu Lv; Yuan Liu 021; Xiaoyun Hu; Lihua Li 002; Xiaobin Cui; Xiang Pan (Medical Image Anal., 2025)

MVNMF: Multiview nonnegative matrix factorization for radio-multigenomic analysis in breast cancer prognosis. - Jian Guan 007; Ming Fan 003; Lihua Li 002 (Medical Image Anal., 2025)