Lihua Li

94 papers A* 2A 2B 10C 1Misc 2Journal 48Unranked 29
YearRankTypeTitle / Venue / Authors
2026 J jnl
Pseudo kinetics-driven federated diffusion hemodynamic framework for breast tumor segmentation in pre-contrast MRI.
Expert Syst. Appl.
Tianxu Lv, Yang Xiao, Li Liu, Chenyi Lei, Jiansong Fan, Yuan Liu, Lihua Li, Xiang Pan
2025 J jnl
A novel automatic locating method for pylorus and ileocecal valve in wireless capsule endoscopy.
Biomed. Signal Process. Control.
Shanhui Fan, Shangguang Wei, Kaihua Wei, Shichen Liu, Yihong Fan, Bin Lv, Lihua Li
2025 — conf
Coarse-to-Fine Medical Image Translation by Incorporating Deterministic Guidance and Probabilistic Refinement.
MICCAI (8)
Hongnian Tian, Tianxu Lv, Jiansong Fan, Delin Pan, Lihua Li, Xiang Pan
2025 J jnl
DIPathMamba: A domain-incremental weakly supervised state space model for pathology image segmentation.
Medical Image Anal.
Jiansong Fan, Qi Sun, Yicheng Di, Jiayu Bao, Tianxu Lv, Yuan Liu, Xiaoyun Hu, Lihua Li, Xiaobin Cui, Xiang Pan
2025 J jnl
Leveraging Induced Transferable Binding Principles for Associative Prediction of Novel Drug-Target Interactions.
CoRR
Xiaoqing Lian, Jie Zhu, Tianxu Lv, Shiyun Nie, Hang Fan, Guosheng Wu, Yunjun Ge, Lihua Li, Xiangxiang Zeng, Xiang Pan
2025 J jnl
MVNMF: Multiview nonnegative matrix factorization for radio-multigenomic analysis in breast cancer prognosis.
Medical Image Anal.
Jian Guan, Ming Fan, Lihua Li
2025 A* conf
M²N: A Progressive Macro-to-Micro 3D Modeling Scheme for Unveiling Drug-Target Affinity.
AAAI
Tianxu Lv, Jie Zhu, Jinyi Liu, Shiyun Nie, Hongnian Tian, Yang Xiao, Yuan Liu, Lihua Li, Xiang Pan
2025 A* conf
RLBCD: Residual-guided Latent Brownian-bridge Co-Diffusion for Anatomical-to-Metabolic Image Synthesis.
IJCAI
Tianxu Lv, Hongnian Tian, Jiansong Fan, Yuan Liu, Lihua Li, Xiang Pan
2025 J jnl
Shuffle window transformer DeepLabV3+: a lightweight convolutional neural network and transformer based hybrid semantic segmentation network.
Mach. Learn. Sci. Technol.
Yane Li, Zhichao Chen, Hongxia Qi, Ming Fan, Lihua Li
2025 J jnl
Spatiotemporal context feedback bidirectional attention network for breast cancer segmentation based on DCE-MRI.
Neural Comput. Appl.
Xiang Pan, Tianxu Lv, Yuan Liu, Ningjun Li, Lihua Li, Yan Zhang, Jianming Ni, Chunjuan Jiang
2025 — conf
Synchronous Inhibition and Activation for Weakly Supervised Semantic Segmentation of Pathology Images.
MICCAI (11)
Jiansong Fan, Yicheng Di, Jiayu Bao, Lihua Li, Xiang Pan
2025 J jnl
UPSST: Unsupervised Pathology Domain Identification by Integrating Tissue Morphology, Imputing and Clustering of Spatial Transcriptomics With GAT.
IEEE Trans. Comput. Biol. Bioinform.
Guiyun Chen, Xiaoyan Hong, Lei Zhang, Longzhen Ding, Lihua Li, Chunjuan Jiang, Jianming Ni, Kai Miao, Xiang Pan
2024 J jnl
A local-global unified scheme driven by positionable texture and multi-level boundary for lung cancer organoids segmentation.
Expert Syst. Appl.
Jiansong Fan, Tianxu Lv, Shunyuan Jia, Yuan Liu, Ruihong Deng, Zexin Chen, Yu Zhu, Lihua Li, Chunjuan Jiang, Jianming Ni, Xiang Pan
2024 J jnl
AI-powered interpretable imaging phenotypes noninvasively characterize tumor microenvironment associated with diverse molecular signatures and survival in breast cancer.
Comput. Methods Programs Biomed.
Tianxu Lv, Xiaoyan Hong, Yuan Liu, Kai Miao, Heng Sun, Lihua Li, Chuxia Deng, Chunjuan Jiang, Xiang Pan
2024 J jnl
DCDiff: Dual-Granularity Cooperative Diffusion Models for Pathology Image Analysis.
IEEE Trans. Medical Imaging
Jiansong Fan, Tianxu Lv, Pei Wang, Xiaoyan Hong, Yuan Liu, Chunjuan Jiang, Jianming Ni, Lihua Li, Xiang Pan
2024 J jnl
Deconvolution-Based Pharmacokinetic Analysis to Improve the Prediction of Pathological Information of Breast Cancer.
J. Imaging Inform. Medicine
Liangliang Zhang, Ming Fan, Lihua Li
2024 J jnl
Double Transformer Super-Resolution for Breast Cancer ADC Images.
IEEE J. Biomed. Health Informatics
Ying Yang, Tao Xiang, Xiao Lv, Lihua Li, Lok Ming Lui, Tieyong Zeng
2024 J jnl
Enhanced dual contrast representation learning with cell separation and merging for breast cancer diagnosis.
Comput. Vis. Image Underst.
Yang Liu, Yiqi Zhu, Zhehao Gu, Jinshan Pan, Juncheng Li, Ming Fan, Lihua Li, Tieyong Zeng
2024 — conf
Hemodynamic-Driven Multi-prototypes Learning for One-Shot Segmentation in Breast Cancer DCE-MRI.
MICCAI (9)
Xiang Pan, Shiyun Nie, Tianxu Lv, Lihua Li
2024 — conf
PathMamba: Weakly Supervised State Space Model for Multi-class Segmentation of Pathology Images.
MICCAI (8)
Jiansong Fan, Tianxu Lv, Yicheng Di, Lihua Li, Xiang Pan
2024 J jnl
TME-NET: an interpretable deep neural network for predicting pan-cancer immune checkpoint inhibitor responses.
Briefings Bioinform.
Xiaobao Ding, Lin Zhang, Ming Fan, Lihua Li
2023 J jnl
Cross-Parametric Generative Adversarial Network-Based Magnetic Resonance Image Feature Synthesis for Breast Lesion Classification.
IEEE J. Biomed. Health Informatics
Ming Fan, Guangyao Huang, Junhong Lou, Xin Gao, Tieyong Zeng, Lihua Li
2023 — conf
Diffusion Kinetic Model for Breast Cancer Segmentation in Incomplete DCE-MRI.
MICCAI (4)
Tianxu Lv, Yuan Liu, Kai Miao, Lihua Li, Xiang Pan
2023 J jnl
Joint model- and immunohistochemistry-driven few-shot learning scheme for breast cancer segmentation on 4D DCE-MRI.
Appl. Intell.
Youqing Wu, Yihang Wang, Heng Sun, Chunjuan Jiang, Bo Li, Lihua Li, Xiang Pan
2023 J jnl
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
Jian Guan, Ming Fan, Tieyong Zeng, Lihua Li
2022 J jnl
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
Ming Fan, Chengcheng Yuan, Guangyao Huang, Maosheng Xu, Shiwei Wang, Xin Gao, Lihua Li
2022 J jnl
A hybrid hemodynamic knowledge-powered and feature reconstruction-guided scheme for breast cancer segmentation based on DCE-MRI.
Medical Image Anal.
Tianxu Lv, Youqing Wu, Yihang Wang, Yuan Liu, Lihua Li, Chuxia Deng, Xiang Pan
2022 J jnl
Prediction of Short-Term Breast Cancer Risk with Fusion of CC- and MLO-Based Risk Models in Four-View Mammograms.
J. Digit. Imaging
Yane Li, Wei Yuan, Ming Fan, Bin Zheng, Lihua Li
2022 J jnl
Semantic-Powered Explainable Model-Free Few-Shot Learning Scheme of Diagnosing COVID-19 on Chest X-Ray.
IEEE J. Biomed. Health Informatics
Yihang Wang, Chunjuan Jiang, Youqing Wu, Tianxu Lv, Heng Sun, Yuan Liu, Lihua Li, Xiang Pan
2021 J jnl
DESN: An unsupervised MR image denoising network with deep image prior.
Theor. Comput. Sci.
Yazhou Zhu, Xiang Pan, Tianxu Lv, Yuan Liu, Lihua Li
2021 J jnl
Robust corner detection with fractional calculus for magnetic resonance imaging.
Biomed. Signal Process. Control.
Xiang Pan, Jing Zhu, Hongbin Yu, Lifang Chen, Yuan Liu, Lihua Li
2021 J jnl
Unsupervised medical images denoising via graph attention dual adversarial network.
Appl. Intell.
Tianxu Lv, Xiang Pan, Yazhou Zhu, Lihua Li
2020 J jnl
A Convex Variational Approach for Image Deblurring With Multiplicative Structured Noise.
IEEE Access
Tingting Wu, Wei Li, Lihua Li, Tieyong Zeng
2020 J jnl
A Rapid, Accurate and Machine-Agnostic Segmentation and Quantification Method for CT-Based COVID-19 Diagnosis.
IEEE Trans. Medical Imaging
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
2020 — conf
DCE-MRI based Breast Intratumor Heterogeneity Analysis via Dual Attention Deep Clustering Network and its Application in Molecular Typing.
BIBM
Tianxu Lv, Xiang Pan, Lihua Li
2020 J jnl
Decoding visual network-related dynamic functional connectivity for eyes-open and eyes-closed using machine learning.
Int. J. Imaging Syst. Technol.
Xun-Heng Wang, Yun Jiao, Lihua Li
2020 B conf
Denoising of Magnetic Resonance Images with Deep Neural Regularizer Driven by Image Prior.
DSAA
Yazhou Zhu, Xiang Pan, Jing Zhu, Lihua Li, Yuan Liu
2020 J jnl
Diagnosing autism spectrum disorder using brain entropy: A fast entropy method.
Comput. Methods Programs Biomed.
Liangliang Zhang, Xun-Heng Wang, Lihua Li
2020 J jnl
Joint Prediction of Breast Cancer Histological Grade and Ki-67 Expression Level Based on DCE-MRI and DWI Radiomics.
IEEE J. Biomed. Health Informatics
Ming Fan, Wei Yuan, Wenrui Zhao, Maosheng Xu, Shiwei Wang, Xin Gao, Lihua Li
2020 — conf
Multi-scale Strategy Based 3D Dual-Encoder Brain Tumor Segmentation Network with Attention Mechanism.
BIBM
Yazhou Zhu, Xiang Pan, Jing Zhu, Lihua Li
2019 — conf
DCE-MRI based analysis of intratumor heterogeneity by decomposing method for prediction of HER2 status in breast cancer.
Computer-Aided Diagnosis
Peng Zhang, Ming Fan, Yuanzhe Li, Maosheng Xu, Lihua Li
2019 J jnl
Prediction of Short-Term Breast Cancer Risk Based on Deep Convolutional Neural Networks in Mammography.
J. Medical Imaging Health Informatics
Yane Li, Ming Fan, Shichen Liu, Bin Zheng, Lihua Li
2019 J jnl
Robust and Zero-Phase-Shift Sharpening Filter Based Medical Image Enhancing.
J. Medical Imaging Health Informatics
Xiang Pan, Lihua Li, Tao Zhang
2018 J jnl
A Slice-based
IEEE ACM Trans. Comput. Biol. Bioinform.
Meshari Alazmi, Ahmed Abbas, Xianrong Guo, Ming Fan, Lihua Li, Xin Gao
2018 J jnl
DEEPre: sequence-based enzyme EC number prediction by deep learning.
Bioinform.
Yu Li, Sheng Wang, Ramzan Umarov, Bingqing Xie, Ming Fan, Lihua Li, Xin Gao
2018 J jnl
DLBI: Deep learning guided Bayesian inference for structure reconstruction of super-resolution fluorescence microscopy.
CoRR
Yu Li, Fan Xu, Fa Zhang, Pingyong Xu, Mingshu Zhang, Ming Fan, Lihua Li, Xin Gao, Renmin Han
2018 J jnl
DLBI: deep learning guided Bayesian inference for structure reconstruction of super-resolution fluorescence microscopy.
Bioinform.
Yu Li, Fan Xu, Fa Zhang, Pingyong Xu, Mingshu Zhang, Ming Fan, Lihua Li, Xin Gao, Renmin Han
2016 — conf
Predicting human age using regional morphometry and inter-regional morphological similarity.
Biomedical Applications in Molecular, Structural, and Functional Imaging
Xun-Heng Wang, Lihua Li
2015 — conf
A new CAD approach for improving efficacy of cancer screening.
Computer-Aided Diagnosis
Bin Zheng, Wei Qian, Lihua Li, Jiantao Pu, Yan Kang, Fleming Lure, Maxine Tan, Yuchen Qiu
2015 J jnl
A novel Multi-Agent Ada-Boost algorithm for predicting protein structural class with the information of protein secondary structure.
J. Bioinform. Comput. Biol.
Ming Fan, Bin Zheng, Lihua Li
2014 B conf
3D segmentation of masses in DCE-MRI images using FCM and adaptive MRF.
Image Processing
Chengjie Zhang, Lihua Li
2014 J jnl
A heuristic biomarker selection approach based on professional tennis player ranking strategy.
Comput. Methods Programs Biomed.
Bin Han, Ruifei Xie, Lihua Li, Lei Zhu, Shen Wang
2014 J jnl
Complex Composite Derivative and Its Application to Edge Detection.
SIAM J. Imaging Sci.
Xiang Pan, Yongqiang Ye, Jianhong Wang, Xudong Gao, Chun He, Danwei Wang, Bin Jiang, Lihua Li
2014 J jnl
Computer-Aided Diagnosis of Breast DCE-MRI Images Using Bilateral Asymmetry of Contrast Enhancement Between Two Breasts.
J. Digit. Imaging
Qian Yang, Lihua Li, Juan Zhang, Guoliang Shao, Chengjie Zhang, Bin Zheng
2014 J jnl
Identification of glioma cancer-alerted gene markers based on a diagnostic outcome correlation analysis preferential approach.
Int. J. Data Min. Bioinform.
Bin Han, Haifeng Lai, Ruifei Xie, Lihua Li, Lei Zhu
2013 — conf
Association between bilateral asymmetry of kinetic features computed from the DCE-MRI images and breast cancer.
Computer-Aided Diagnosis
Qian Yang, Lihua Li, Juan Zhang, Chengjie Zhang, Bin Zheng
2013 J jnl
Numerical Study of Magnetoacoustic Signal Generation with Magnetic Induction Based on Inhomogeneous Conductivity Anisotropy.
Comput. Math. Methods Medicine
Xun Li, Sanqing Hu, Lihua Li, Shanan Zhu
2012 — conf
A multi-scale approach to mass segmentation using graph cuts.
Computer-Aided Diagnosis
Xiangying Wu, Weidong Xu, Lihua Li, Wei Liu, Bin Zheng
2012 J jnl
An Interactive System for Computer-Aided Diagnosis of Breast Masses.
J. Digit. Imaging
Xingwei Wang, Lihua Li, Wei Liu, Weidong Xu, Dror Lederman, Bin Zheng
2012 — conf
Improving CAD performance by fusion of the bilateral mammographic tissue asymmetry information.
Computer-Aided Diagnosis
Xingwei Wang, Lihua Li, Wei Liu, Weidong Xu, Dror Lederman, Bin Zheng
2012 — conf
Multi-instance learning for mass retrieval in digitized mammograms.
Computer-Aided Diagnosis
Pengfei Lu, Wei Liu, Weidong Xu, Lihua Li, Bin Zheng, Juan Zhang, Lingnan Zhang
2012 — conf
Perceptual mass segmentation using eye-tracking and seed-growing.
Computer-Aided Diagnosis
Erting Ke, Wei Liu, Weidong Xu, Lihua Li, Bin Zheng, Juan Zhang, Lingnan Zhang
2011 J jnl
A two step method to identify clinical outcome relevant genes with microarray data.
J. Biomed. Informatics
Bin Han, Lihua Li, Yan Chen, Lei Zhu, Qi Dai
2011 — conf
Identifying Ovarian Cancer Chemotherapy Response Relevant Gene Cliques.
BIBM
Yan-E. Li, Juan Zhang, Bin Han, Lihua Li
2011 J jnl
Improving protein structural class prediction using novel combined sequence information and predicted secondary structural features.
J. Comput. Chem.
Qi Dai, Li Wu, Lihua Li
2011 — conf
Professional tennis player ranking strategy based Monte Carlo feature selection.
BIBM Workshops
Ruifei Xie, Bin Han, Lihua Li, Juan Zhang, Lei Zhu
2010 B conf
A multi-scale approach to mass segmentation using active contour models.
Image Processing
Hongwei Yu, Lihua Li, Weidong Xu, Wei Liu
2010 — conf
A new multi-view identification scheme for breast masses in mammography using multi-agent algorithm.
ICCA
Li Sun, Weidong Xu, Lihua Li, Wei Liu, Juan Zhang, Guoliang Shao
2010 — conf
Improved mammographic mass retrieval performance using multi-view information.
BIBM
Wei Liu, Weidong Xu, Lihua Li, Shuang Li, Huanping Zhao, Juan Zhang
2010 — conf
Multi-agent method for masses classification in mammogram.
Computer-Aided Diagnosis
Fangqing Peng, Lihua Li, Weidong Xu, Wei Liu
2010 — conf
Prediction of protein structural class using a combined representation of protein-sequence information and support vector machine.
BIBM Workshops
Li Wu, Qi Dai, Bin Han, Lei Zhu, Lihua Li
2010 — conf
Sparse representation based feature selection for mass spectrometry data.
BIBM Workshops
Jiqing Ke, Lei Zhu, Bin Han, Qi Dai, Yaojia Wang, Lihua Li, Shenhua Xu, Hangzhou Mou, Zhiguo Zheng
2010 J jnl
Using Gaussian model to improve biological sequence comparison.
J. Comput. Chem.
Qi Dai, Xiao-Qing Liu, Lihua Li, Yuhua Yao, Bin Han, Lei Zhu
2009 — conf
A Monte Carlo Reliability Study of the Assessment of Chemotherapy Responses in Ovarian Cancer Treatment.
BMEI
Qing Wang, Bin Han, Yan Chen, Shufei Chen, Lihua Li, Haifeng Lai, Shenhua Xu, Zhiguo Zheng, Hangzhou Mou
2009 — conf
Null Space LDA Based Feature Extraction of Mass Spectrometry Data for Cancer Classification.
BMEI
Lei Zhu, Bin Han, Lihua Li, Shenhua Xu, Hangzhou Mou, Zhiguo Zheng
2008 — conf
Identifying Causal Effects from Data for the Clinical Ventilation Process Modelling.
BMEI (1)
Bin Han, Guoliang Li, Tze-Yun Leong, Yanchun Zhang, Lihua Li, Wei Liu, Lei Zhu, Weidong Xu
2007 A conf
3D Finite Element Modeling of Nonrigid Breast Deformation for Feature Registration in -ray and MR Images.
WACV
Yong Zhang, Yan Qiu, Dmitry B. Goldgof, Sudeep Sarkar, Lihua Li
2007 C conf
Medical Image Retrieval Based on Bidimensional Empirical Mode Decomposition.
BIBE
Wei Liu, Weidong Xu, Lihua Li
2006 J jnl
Computerized analysis of tissue density effect on missed cancer detection in digital mammography.
Comput. Medical Imaging Graph.
Lihua Li, Zuobao Wu, Angela Salem, Zhao Chen, Li Chen, Florence George, Maria Kallergi, Claudia Berman
2004 — conf
Correspondence Recovery In 2-View Mammography.
ISBI
Yan Qiu, Dmitry B. Goldgof, Lihua Li, Sudeep Sarkar, Yong Zhang, Sorin Anton
2004 J jnl
Data mining techniques for cancer detection using serum proteomic profiling.
Artif. Intell. Medicine
Lihua Li, Hong Tang, Zuobao Wu, Jianli Gong, Michael Gruidl, Jun Zou, Melvyn Tockman, Robert A. Clark
2004 A conf
Image indexing based on fractal feature.
ICME
Ming Hong Pi, Chun Hung Li, Lihua Li
2004 B conf
Three-dimensional finite element model for lesion correspondence in breast imaging.
Image Processing
Yan Qiu, Lihua Li, Dmitry B. Goldgof, Sudeep Sarkar, Sorin Anton, Robert A. Clark
2003 B conf
Classification of masses on mammograms using support vector machine.
Image Processing
Yong Chu, Lihua Li, Dmitry B. Goldgof, Yan Qiu, Robert A. Clark
2002 B conf
Graph-based region growing for mass-segmentation in digital mammography.
Image Processing
Yong Chu, Lihua Li, Robert A. Clark
2002 B conf
Image segmentation and 3D visualization for MRI mammography.
Image Processing
Lihua Li, Yong Chu, Angela F. Salem, Robert A. Clark
2000 B conf
Improved method for automatic identification of lung regions in chest radiographs.
Image Processing
Yang Zheng, Lihua Li, Maria Kallergi, Wei Qian, Robert A. Clark
1999 B conf
Improving mass detection by adaptive and multiscale processing in digitized mammograms.
Image Processing
Lihua Li, Wei Qian, Laurence P. Clarke, Robert A. Clark, Jerry A. Thomas
1998 — conf
A Computer Assisted Diagnostic System for Mass Detection.
Digital Mammography / IWDM
Wei Qian, Lihua Li, Laurence P. Clarke, Fei Mao, Robert A. Clark, Jerry A. Thomas
1998 B conf
Image feature extraction for mass detection in digital mammography: effects of wavelet analysis.
Image Processing
Lihua Li, Wei Qian, Laurence P. Clarke
1997 — conf
Wavelet transform for directional feature extraction in medical imaging.
ICIP (3)
Lihua Li, Fei Mao, Wei Qian, Laurence P. Clarke
1996 Misc conf
X-ray medical image processing using directional wavelet transform.
ICASSP
Lihua Li, Wei Qian, Laurence P. Clarke
1995 Misc conf
Decision feedback neural network coherent receivers for continuous phase modulation based on frequency domain.
ICASSP
Xi-Qi Gao, X. D. Wang, Lihua Li, H. Zhang, Zhenya He
1994 — conf
A new competitive learning algorithm for vector quantization.
ICASSP (2)
Ce Zhu, Lihua Li, Zhenya He, Jun Wang