Hong Liu
Orcid: 0000-0002-0896-8409Affiliations:
- University of Oklahoma, School of Electrical and Computer Engineering, Norman, OK, USA
According to our database1,
Hong Liu
authored at least 45 papers
between 2000 and 2022.
Collaborative distances:
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on orcid.org
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Bibliography
2022
Recent advances and clinical applications of deep learning in medical image analysis.
Medical Image Anal., 2022
Transformers Improve Breast Cancer Diagnosis from Unregistered Multi-View Mammograms.
CoRR, 2022
CoRR, 2022
Assessment of a new CAD-generated imaging marker to predict risk of having mammography-occult tumors.
Proceedings of the Medical Imaging 2022: Image Perception, 2022
2021
Applying a Random Projection Algorithm to Optimize Machine Learning Model for Breast Lesion Classification.
IEEE Trans. Biomed. Eng., 2021
Recent advances and clinical applications of deep learning in medical image analysis.
CoRR, 2021
2020
Development and Assessment of a New Global Mammographic Image Feature Analysis Scheme to Predict Likelihood of Malignant Cases.
IEEE Trans. Medical Imaging, 2020
Developing a new radiomics-based CT image marker to detect lymph node metastasis among cervical cancer patients.
Comput. Methods Programs Biomed., 2020
2019
Applying a new quantitative image analysis scheme based on global mammographic features to assist diagnosis of breast cancer.
Comput. Methods Programs Biomed., 2019
Developing a new quantitative imaging marker to predict pathological complete response to neoadjuvant chemotherapy.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
2018
Using Microbubble as Contrast Agent for High-Energy X-Ray In-line Phase Contrast Imaging: Demonstration and Comparison Study.
IEEE Trans. Biomed. Eng., 2018
A performance comparison of low- and high-level features learned by deep convolutional neural networks in epithelium and stroma classification.
Proceedings of the Medical Imaging 2018: Digital Pathology, 2018
Association between mammogram density and background parenchymal enhancement of breast MRI.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
2017
A two-step convolutional neural network based computer-aided detection scheme for automatically segmenting adipose tissue volume depicting on CT images.
Comput. Methods Programs Biomed., 2017
Applying a deep learning based CAD scheme to segment and quantify visceral and subcutaneous fat areas from CT images.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Apply radiomics approach for early stage prognostic evaluation of ovarian cancer patients: a preliminary study.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
2016
A New Approach to Evaluate Drug Treatment Response of Ovarian Cancer Patients Based on Deformable Image Registration.
IEEE Trans. Medical Imaging, 2016
Fusion of Quantitative Image and Genomic Biomarkers to Improve Prognosis Assessment of Early Stage Lung Cancer Patients.
IEEE Trans. Biomed. Eng., 2016
Applying a computer-aided scheme to detect a new radiographic image marker for prediction of chemotherapy outcome.
BMC Medical Imaging, 2016
Applying quantitative adiposity feature analysis models to predict benefit of bevacizumab-based chemotherapy in ovarian cancer patients.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
A B-spline image registration based CAD scheme to evaluate drug treatment response of ovarian cancer patients.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
Increasing cancer detection yield of breast MRI using a new CAD scheme of mammograms.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
Computer-aided classification of mammographic masses using the deep learning technology: a preliminary study.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
An initial investigation on developing a new method to predict short-term breast cancer risk based on deep learning technology.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
2015
An automated approach to improve efficacy in detecting residual malignant cancer cell for facilitating prognostic assessment of leukemia: an initial study.
Proceedings of the Medical Imaging 2015: Digital Pathology, 2015
Association of mammographic image feature change and an increasing risk trend of developing breast cancer: an assessment.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
Evaluation of chemotherapy response in ovarian cancer treatment using quantitative CT image biomarkers: a preliminary study.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
A new application of electrical impedance spectroscopy for measuring glucose metabolism: a phantom study.
Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 2015
2012
Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2012
2010
3D Surface Reconstruction via Graph Cuts.
Proceedings of the 2010 International Conference on Image Processing, 2010
2009
Optimizing photon fluence measurements for the accurate determination of detective quantum efficiency.
J. Electronic Imaging, 2009
Automated classification of metaphase chromosomes: Optimization of an adaptive computerized scheme.
J. Biomed. Informatics, 2009
2008
IEEE Trans. Biomed. Eng., 2008
Medical Biol. Eng. Comput., 2008
Development and assessment of an integrated computer-aided detection scheme for digital microscopic images of metaphase chromosomes.
J. Electronic Imaging, 2008
Automated identification of analyzable metaphase chromosomes depicted on microscopic digital images.
J. Biomed. Informatics, 2008
A rule-based computer scheme for centromere identification and polarity assignment of metaphase chromosomes.
Comput. Methods Programs Biomed., 2008
2007
IEEE Trans. Biomed. Eng., 2007
2006
Int. J. Biomed. Imaging, 2006
2005
Comparison of a CMOS-based and a CCD-based digital x-ray imaging system: Observer studies.
J. Electronic Imaging, 2005
2004
Contrast-detail Analysis of a CMOS-based Digital X-ray Imaging System.
Proceedings of the 19th International Conference on Computers and Their Applications, 2004
2002
IEEE Trans. Control. Syst. Technol., 2002
Techniques to improve the accuracy and to reduce the variance in noise power spectrum measurement.
IEEE Trans. Biomed. Eng., 2002
2000
Proceedings of the 29th Applied Image Pattern Recognition Workshop (AIPR 2000), 2000