Digital Fluorescence Technique for Biomedical Applications. - Abby Deans; Hong Liu 003; Williams Jung; Dechun Li; Xiaoguang Song; Laurie Lee Fajardo (AIPR, 2000)

Techniques to improve the accuracy and to reduce the variance in noise power spectrum measurement. - Hangyi Jiang; Wei R. Chen; Hong Liu 003 (IEEE Trans. Biomed. Eng., 2002)

A stereo-fluoroscopic image-guided robotic biopsy scheme. - Minyan Shi; Hong Liu 003; Gang Tao (IEEE Trans. Control. Syst. Technol., 2002)

Contrast-detail Analysis of a CMOS-based Digital X-ray Imaging System. - Qirong Zhang; Yuhua Li; Ben Steele; Wei R. Chen; Xizeng Wu; John Cheung; Hong Liu 003 (CATA, 2004)

Comparison of a CMOS-based and a CCD-based digital x-ray imaging system: Observer studies. - Qirong Zhang; Yuhua Li; Ben Steele; Xizeng Wu; Wei R. Chen; John Rong; Hong Liu 003 (J. Electronic Imaging, 2005)

Impacts of Filtration on Contrast-Detail Detectability of an X-ray Imaging System. - Qirong Zhang; John Rong; Xizeng Wu; Yuhua Li; Wei R. Chen; Hong Liu 003 (Int. J. Biomed. Imaging, 2006)

Impact of Additive Noise on System Performance of a Digital X-ray Imaging System. - Da Zhang 009; John Rong; Wei R. Chen; Feng Gao; Kexin Xu; Xizeng Wu; Hong Liu 003 (IEEE Trans. Biomed. Eng., 2007)

A rule-based computer scheme for centromere identification and polarity assignment of metaphase chromosomes. - Xingwei Wang 004; Bin Zheng 001; Shibo Li; John J. Mulvihill; Hong Liu 003 (Comput. Methods Programs Biomed., 2008)

Automated identification of analyzable metaphase chromosomes depicted on microscopic digital images. - Xingwei Wang 004; Shibo Li; Hong Liu 003; Marc C. Wood; Wei R. Chen; Bin Zheng 001 (J. Biomed. Informatics, 2008)

Development and assessment of an integrated computer-aided detection scheme for digital microscopic images of metaphase chromosomes. - Xingwei Wang 004; Bin Zheng 001; Shibo Li; John J. Mulvihill; Hong Liu 003 (J. Electronic Imaging, 2008)

Temperature measurement on tissue surface during laser irradiation. - Surya C. Gnyawali; Yicho Chen; Feng Wu; Kenneth E. Bartels; James P. Wicksted; Hong Liu 003; Chandan K. Sen; Wei R. Chen (Medical Biol. Eng. Comput., 2008)

Preliminary Feasibility Study of an In-line Phase Contrast X-Ray Imaging Prototype. - Da Zhang 009; Molly Donovan Wong; Laurie Lee Fajardo; Ann Archer; Xizeng Wu; Hong Liu 003 (IEEE Trans. Biomed. Eng., 2008)

Automated classification of metaphase chromosomes: Optimization of an adaptive computerized scheme. - Xingwei Wang 004; Bin Zheng 001; Shibo Li; John J. Mulvihill; Marc C. Wood; Hong Liu 003 (J. Biomed. Informatics, 2009)

Optimizing photon fluence measurements for the accurate determination of detective quantum efficiency. - Molly Donovan Wong; Da Zhang 009; John Rong; Xizeng Wu; Hong Liu 003 (J. Electronic Imaging, 2009)

3D Surface Reconstruction via Graph Cuts. - Dianchao Liu; Samuel Cheng 001; Dee Wu; Hong Liu 003; Pramode K. Verma (IPCV, 2010)

Malignant nodule detection on lung CT scan images with kernel RX-algorithm. - Aminmohammad Roozgard; Samuel Cheng 001; Hong Liu 003 (BHI, 2012)

A new application of electrical impedance spectroscopy for measuring glucose metabolism: a phantom study. - Sreeram Dhurjaty; Yuchen Qiu; Maxine Tan; Hong Liu 003; Bin Zheng 001 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2015)

Evaluation of chemotherapy response in ovarian cancer treatment using quantitative CT image biomarkers: a preliminary study. - Yuchen Qiu; Maxine Tan; Scott D. McMeekin; Theresa C. Thai; Kathleen N. Moore; Kai Ding; Hong Liu 003; Bin Zheng 001 (Computer-Aided Diagnosis, 2015)

Association of mammographic image feature change and an increasing risk trend of developing breast cancer: an assessment. - Maxine Tan; Joseph K. Leader; Hong Liu 003; Bin Zheng 001 (Computer-Aided Diagnosis, 2015)

An automated approach to improve efficacy in detecting residual malignant cancer cell for facilitating prognostic assessment of leukemia: an initial study. - Yuchen Qiu; Xianglan Lu; Maxine Tan; Shibo Li; Hong Liu 003; Bin Zheng 001 (Digital Pathology, 2015)

An initial investigation on developing a new method to predict short-term breast cancer risk based on deep learning technology. - Yuchen Qiu; Yunzhi Wang 002; Shiju Yan; Maxine Tan; Samuel Cheng 001; Hong Liu 003; Bin Zheng 001 (Computer-Aided Diagnosis, 2016)

Computer-aided classification of mammographic masses using the deep learning technology: a preliminary study. - Yuchen Qiu; Shiju Yan; Maxine Tan; Samuel Cheng 001; Hong Liu 003; Bin Zheng 001 (Computer-Aided Diagnosis, 2016)

Increasing cancer detection yield of breast MRI using a new CAD scheme of mammograms. - Maxine Tan; Faranak Aghaei; Alan B. Hollingsworth; Rebecca G. Stough; Hong Liu 003; Bin Zheng 001 (Computer-Aided Diagnosis, 2016)

A B-spline image registration based CAD scheme to evaluate drug treatment response of ovarian cancer patients. - Maxine Tan; Zheng Li; Kathleen N. Moore; Theresa C. Thai; Kai Ding; Hong Liu 003; Bin Zheng 001 (Computer-Aided Diagnosis, 2016)

Applying quantitative adiposity feature analysis models to predict benefit of bevacizumab-based chemotherapy in ovarian cancer patients. - Yunzhi Wang 002; Yuchen Qiu; Theresa C. Thai; Kathleen N. Moore; Kai Ding; Hong Liu 003; Bin Zheng 001 (Computer-Aided Diagnosis, 2016)

Applying a computer-aided scheme to detect a new radiographic image marker for prediction of chemotherapy outcome. - Yunzhi Wang 002; Yuchen Qiu; Theresa C. Thai; Kathleen N. Moore; Hong Liu 003; Bin Zheng 001 (BMC Medical Imaging, 2016)

Fusion of Quantitative Image and Genomic Biomarkers to Improve Prognosis Assessment of Early Stage Lung Cancer Patients. - Nastaran Emaminejad; Wei Qian 001; Yubao Guan; Maxine Tan; Yuchen Qiu; Hong Liu 003; Bin Zheng 001 (IEEE Trans. Biomed. Eng., 2016)

A New Approach to Evaluate Drug Treatment Response of Ovarian Cancer Patients Based on Deformable Image Registration. - Maxine Tan; Zheng Li; Yuchen Qiu; Scott D. McMeekin; Theresa C. Thai; Kai Ding; Kathleen N. Moore; Hong Liu 003; Bin Zheng 001 (IEEE Trans. Medical Imaging, 2016)

Apply radiomics approach for early stage prognostic evaluation of ovarian cancer patients: a preliminary study. - Gopichandh Danala; Yunzhi Wang 002; Theresa C. Thai; Camille Gunderson; Katherine Moxley; Kathleen N. Moore; Robert S. Mannel; Hong Liu 003; Bin Zheng 001; Yuchen Qiu (Computer-Aided Diagnosis, 2017)

Applying a deep learning based CAD scheme to segment and quantify visceral and subcutaneous fat areas from CT images. - Yunzhi Wang 002; Yuchen Qiu; Theresa C. Thai; Kathleen N. Moore; Hong Liu 003; Bin Zheng 001 (Computer-Aided Diagnosis, 2017)

A two-step convolutional neural network based computer-aided detection scheme for automatically segmenting adipose tissue volume depicting on CT images. - Yunzhi Wang 002; Yuchen Qiu; Theresa C. Thai; Kathleen N. Moore; Hong Liu 003; Bin Zheng 001 (Comput. Methods Programs Biomed., 2017)

Applying a new mammographic imaging marker to predict breast cancer risk. - Faranak Aghaei; Gopichandh Danala; Alan B. Hollingsworth; Rebecca G. Stough; Melanie Pearce; Hong Liu 003; Bin Zheng 001 (Computer-Aided Diagnosis, 2018)

Association between mammogram density and background parenchymal enhancement of breast MRI. - Faranak Aghaei; Gopichandh Danala; Yunzhi Wang 002; Ali Zarafshani; Wei Qian 001; Hong Liu 003; Bin Zheng 001 (Computer-Aided Diagnosis, 2018)

A performance comparison of low- and high-level features learned by deep convolutional neural networks in epithelium and stroma classification. - Yue Du; Roy Zhang; Abolfazl Zargari; Theresa C. Thai; Camille C. Gunderson; Katherine M. Moxley; Hong Liu 003; Bin Zheng 001; Yuchen Qiu (Digital Pathology, 2018)

Using Microbubble as Contrast Agent for High-Energy X-Ray In-line Phase Contrast Imaging: Demonstration and Comparison Study. - Di Wu 026; Molly Donovan Wong; Kai Yang; Aimin Yan; Yuhua Li; Laurie Lee Fajardo; Bin Zheng 001; Xizeng Wu; Hong Liu 003 (IEEE Trans. Biomed. Eng., 2018)

Developing a new quantitative imaging marker to predict pathological complete response to neoadjuvant chemotherapy. - Faranak Aghaei; Alan B. Hollingsworth; Seyedehnafiseh Mirniaharikandehei; Yunzhi Wang 002; Hong Liu 003; Bin Zheng 001 (Computer-Aided Diagnosis, 2019)

Applying a new quantitative image analysis scheme based on global mammographic features to assist diagnosis of breast cancer. - Xuxin Chen; Abolfazl Zargari; Alan B. Hollingsworth; Hong Liu 003; Bin Zheng 001; Yuchen Qiu (Comput. Methods Programs Biomed., 2019)

Developing a new radiomics-based CT image marker to detect lymph node metastasis among cervical cancer patients. - Xuxin Chen; Wei Liu 116; Theresa C. Thai; Tara Castellano; Camille C. Gunderson; Kathleen N. Moore; Robert S. Mannel; Hong Liu 003; Bin Zheng 001; Yuchen Qiu (Comput. Methods Programs Biomed., 2020)

Development and Assessment of a New Global Mammographic Image Feature Analysis Scheme to Predict Likelihood of Malignant Cases. - Morteza Heidari; Seyedehnafiseh Mirniaharikandehei; Wei Liu 116; Alan B. Hollingsworth; Hong Liu 003; Bin Zheng 001 (IEEE Trans. Medical Imaging, 2020)

Recent advances and clinical applications of deep learning in medical image analysis. - Xuxin Chen; Ximin Wang; Ke Zhang; Roy Zhang; Kar-Ming Fung; Theresa C. Thai; Kathleen N. Moore; Robert S. Mannel; Hong Liu 003; Bin Zheng 001; Yuchen Qiu (CoRR, 2021)

Applying a Random Projection Algorithm to Optimize Machine Learning Model for Breast Lesion Classification. - Morteza Heidari; Sivaramakrishnan Lakshmivarahan; Seyedehnafiseh Mirniaharikandehei; Gopichandh Danala; Sai Kiran Reddy Maryada; Hong Liu 003; Bin Zheng 001 (IEEE Trans. Biomed. Eng., 2021)

Assessment of a new CAD-generated imaging marker to predict risk of having mammography-occult tumors. - Seyedehnafiseh Mirniaharikandehei; Alan B. Hollingsworth; Meredith A. Jones; Hong Liu 003; Yuchen Qiu; Bin Zheng 001 (Image Perception, Observer Performance, and Technology Assessment, 2022)

Virtual Adversarial Training for Semi-supervised Breast Mass Classification. - Xuxin Chen; Ximin Wang; Ke Zhang; Kar-Ming Fung; Theresa C. Thai; Kathleen N. Moore; Robert S. Mannel; Hong Liu 003; Bin Zheng 001; Yuchen Qiu (CoRR, 2022)

Transformers Improve Breast Cancer Diagnosis from Unregistered Multi-View Mammograms. - Xuxin Chen; Ke Zhang; Neman Abdoli; Patrik W. Gilley; Ximin Wang; Hong Liu 003; Bin Zheng 001; Yuchen Qiu (CoRR, 2022)

Recent advances and clinical applications of deep learning in medical image analysis. - Xuxin Chen; Ximin Wang; Ke Zhang; Kar-Ming Fung; Theresa C. Thai; Kathleen N. Moore; Robert S. Mannel; Hong Liu 003; Bin Zheng 001; Yuchen Qiu (Medical Image Anal., 2022)