Lihua Li

Orcid: 0000-0003-0435-6453

Affiliations:
  • Hangzhou Dianzi University
  • H. Lee Moffitt Cancer Center & Research Institute
  • University of South Florida
  • Southeast University, China


According to our database1, Lihua Li authored at least 81 papers between 1994 and 2025.

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Bibliography

2025
A novel automatic locating method for pylorus and ileocecal valve in wireless capsule endoscopy.
Biomed. Signal Process. Control., 2025

2024
DCDiff: Dual-Granularity Cooperative Diffusion Models for Pathology Image Analysis.
IEEE Trans. Medical Imaging, December, 2024

Double Transformer Super-Resolution for Breast Cancer ADC Images.
IEEE J. Biomed. Health Informatics, February, 2024

AI-powered interpretable imaging phenotypes noninvasively characterize tumor microenvironment associated with diverse molecular signatures and survival in breast cancer.
Comput. Methods Programs Biomed., January, 2024

A local-global unified scheme driven by positionable texture and multi-level boundary for lung cancer organoids segmentation.
Expert Syst. Appl., 2024

Enhanced dual contrast representation learning with cell separation and merging for breast cancer diagnosis.
Comput. Vis. Image Underst., 2024

TME-NET: an interpretable deep neural network for predicting pan-cancer immune checkpoint inhibitor responses.
Briefings Bioinform., 2024

Hemodynamic-Driven Multi-prototypes Learning for One-Shot Segmentation in Breast Cancer DCE-MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

PathMamba: Weakly Supervised State Space Model for Multi-class Segmentation of Pathology Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023
Cross-Parametric Generative Adversarial Network-Based Magnetic Resonance Image Feature Synthesis for Breast Lesion Classification.
IEEE J. Biomed. Health Informatics, November, 2023

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, October, 2023

Joint model- and immunohistochemistry-driven few-shot learning scheme for breast cancer segmentation on 4D DCE-MRI.
Appl. Intell., June, 2023

Diffusion Kinetic Model for Breast Cancer Segmentation in Incomplete DCE-MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
Semantic-Powered Explainable Model-Free Few-Shot Learning Scheme of Diagnosing COVID-19 on Chest X-Ray.
IEEE J. Biomed. Health Informatics, 2022

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, 2022

A hybrid hemodynamic knowledge-powered and feature reconstruction-guided scheme for breast cancer segmentation based on DCE-MRI.
Medical Image Anal., 2022

Prediction of Short-Term Breast Cancer Risk with Fusion of CC- and MLO-Based Risk Models in Four-View Mammograms.
J. Digit. Imaging, 2022

2021
DESN: An unsupervised MR image denoising network with deep image prior.
Theor. Comput. Sci., 2021

Robust corner detection with fractional calculus for magnetic resonance imaging.
Biomed. Signal Process. Control., 2021

Unsupervised medical images denoising via graph attention dual adversarial network.
Appl. Intell., 2021

2020
A Rapid, Accurate and Machine-Agnostic Segmentation and Quantification Method for CT-Based COVID-19 Diagnosis.
IEEE Trans. Medical Imaging, 2020

Joint Prediction of Breast Cancer Histological Grade and Ki-67 Expression Level Based on DCE-MRI and DWI Radiomics.
IEEE J. Biomed. Health Informatics, 2020

Decoding visual network-related dynamic functional connectivity for eyes-open and eyes-closed using machine learning.
Int. J. Imaging Syst. Technol., 2020

Diagnosing autism spectrum disorder using brain entropy: A fast entropy method.
Comput. Methods Programs Biomed., 2020

A Convex Variational Approach for Image Deblurring With Multiplicative Structured Noise.
IEEE Access, 2020

Denoising of Magnetic Resonance Images with Deep Neural Regularizer Driven by Image Prior.
Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

Multi-scale Strategy Based 3D Dual-Encoder Brain Tumor Segmentation Network with Attention Mechanism.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

DCE-MRI based Breast Intratumor Heterogeneity Analysis via Dual Attention Deep Clustering Network and its Application in Molecular Typing.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
Robust and Zero-Phase-Shift Sharpening Filter Based Medical Image Enhancing.
J. Medical Imaging Health Informatics, 2019

Prediction of Short-Term Breast Cancer Risk Based on Deep Convolutional Neural Networks in Mammography.
J. Medical Imaging Health Informatics, 2019

DCE-MRI based analysis of intratumor heterogeneity by decomposing method for prediction of HER2 status in breast cancer.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

2018
A Slice-based <sup>13</sup>C-detected NMR Spin System Forming and Resonance Assignment Method.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018

DLBI: deep learning guided Bayesian inference for structure reconstruction of super-resolution fluorescence microscopy.
Bioinform., 2018

DEEPre: sequence-based enzyme EC number prediction by deep learning.
Bioinform., 2018

2016
Predicting human age using regional morphometry and inter-regional morphological similarity.
Proceedings of the Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, California, United States, 27 February, 2016

2015
A novel Multi-Agent Ada-Boost algorithm for predicting protein structural class with the information of protein secondary structure.
J. Bioinform. Comput. Biol., 2015

A new CAD approach for improving efficacy of cancer screening.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

2014
Complex Composite Derivative and Its Application to Edge Detection.
SIAM J. Imaging Sci., 2014

Computer-Aided Diagnosis of Breast DCE-MRI Images Using Bilateral Asymmetry of Contrast Enhancement Between Two Breasts.
J. Digit. Imaging, 2014

Identification of glioma cancer-alerted gene markers based on a diagnostic outcome correlation analysis preferential approach.
Int. J. Data Min. Bioinform., 2014

A heuristic biomarker selection approach based on professional tennis player ranking strategy.
Comput. Methods Programs Biomed., 2014

3D segmentation of masses in DCE-MRI images using FCM and adaptive MRF.
Proceedings of the Medical Imaging 2014: Image Processing, 2014

2013
Numerical Study of Magnetoacoustic Signal Generation with Magnetic Induction Based on Inhomogeneous Conductivity Anisotropy.
Comput. Math. Methods Medicine, 2013

Association between bilateral asymmetry of kinetic features computed from the DCE-MRI images and breast cancer.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013

2012
An Interactive System for Computer-Aided Diagnosis of Breast Masses.
J. Digit. Imaging, 2012

A multi-scale approach to mass segmentation using graph cuts.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, San Diego, 2012

Improving CAD performance by fusion of the bilateral mammographic tissue asymmetry information.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, San Diego, 2012

Multi-instance learning for mass retrieval in digitized mammograms.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, San Diego, 2012

Perceptual mass segmentation using eye-tracking and seed-growing.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, San Diego, 2012

2011
Improving protein structural class prediction using novel combined sequence information and predicted secondary structural features.
J. Comput. Chem., 2011

A two step method to identify clinical outcome relevant genes with microarray data.
J. Biomed. Informatics, 2011

Professional tennis player ranking strategy based Monte Carlo feature selection.
Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011

Identifying Ovarian Cancer Chemotherapy Response Relevant Gene Cliques.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2011

2010
Using Gaussian model to improve biological sequence comparison.
J. Comput. Chem., 2010

A multi-scale approach to mass segmentation using active contour models.
Proceedings of the Medical Imaging 2010: Image Processing, 2010

Multi-agent method for masses classification in mammogram.
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, San Diego, 2010

A new multi-view identification scheme for breast masses in mammography using multi-agent algorithm.
Proceedings of the 8th IEEE International Conference on Control and Automation, 2010

Prediction of protein structural class using a combined representation of protein-sequence information and support vector machine.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2010

Improved mammographic mass retrieval performance using multi-view information.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010

Sparse representation based feature selection for mass spectrometry data.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2010

2009
Null Space LDA Based Feature Extraction of Mass Spectrometry Data for Cancer Classification.
Proceedings of the 2nd International Conference on BioMedical Engineering and Informatics, 2009

A Monte Carlo Reliability Study of the Assessment of Chemotherapy Responses in Ovarian Cancer Treatment.
Proceedings of the 2nd International Conference on BioMedical Engineering and Informatics, 2009

2008
Identifying Causal Effects from Data for the Clinical Ventilation Process Modelling.
Proceedings of the 2008 International Conference on BioMedical Engineering and Informatics, 2008

2007
3D Finite Element Modeling of Nonrigid Breast Deformation for Feature Registration in -ray and MR Images.
Proceedings of the 8th IEEE Workshop on Applications of Computer Vision (WACV 2007), 2007

Medical Image Retrieval Based on Bidimensional Empirical Mode Decomposition.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

2006
Computerized analysis of tissue density effect on missed cancer detection in digital mammography.
Comput. Medical Imaging Graph., 2006

2004
Data mining techniques for cancer detection using serum proteomic profiling.
Artif. Intell. Medicine, 2004

Three-dimensional finite element model for lesion correspondence in breast imaging.
Proceedings of the Medical Imaging 2004: Image Processing, 2004

Correspondence Recovery In 2-View Mammography.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

Image indexing based on fractal feature.
Proceedings of the 2004 IEEE International Conference on Multimedia and Expo, 2004

2003
Classification of masses on mammograms using support vector machine.
Proceedings of the Medical Imaging 2003: Image Processing, 2003

2002
Graph-based region growing for mass-segmentation in digital mammography.
Proceedings of the Medical Imaging 2002: Image Processing, 2002

Image segmentation and 3D visualization for MRI mammography.
Proceedings of the Medical Imaging 2002: Image Processing, 2002

2000
Improved method for automatic identification of lung regions in chest radiographs.
Proceedings of the Medical Imaging 2000: Image Processing, 2000

1999
Improving mass detection by adaptive and multiscale processing in digitized mammograms.
Proceedings of the Medical Imaging 1999: Image Processing, 1999

1998
Image feature extraction for mass detection in digital mammography: effects of wavelet analysis.
Proceedings of the Medical Imaging 1998: Image Processing, 1998

A Computer Assisted Diagnostic System for Mass Detection.
Proceedings of the Digital Mammography, 1998

1997
Wavelet transform for directional feature extraction in medical imaging.
Proceedings of the Proceedings 1997 International Conference on Image Processing, 1997

1996
X-ray medical image processing using directional wavelet transform.
Proceedings of the 1996 IEEE International Conference on Acoustics, 1996

1995
Decision feedback neural network coherent receivers for continuous phase modulation based on frequency domain.
Proceedings of the 1995 International Conference on Acoustics, 1995

1994
A new competitive learning algorithm for vector quantization.
Proceedings of ICASSP '94: IEEE International Conference on Acoustics, 1994


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