Assessment of mass detection using tissue background information as input to a computer-assisted diagnosis scheme. - Bin Zheng 001; Yuan-Hsiang Chang; Walter F. Good; David Gur (Image Processing, 1998)

Computer-aided diagnosis of breast cancer using artificial neural networks: comparison of backpropagation and genetic algorithms. - Yuan-Hsiang Chang; Bin Zheng 001; Xiao-Hui Wang 011; Walter F. Good (IJCNN, 1999)

Comparison of artificial neural network and Bayesian belief network in a computer-assisted diagnosis scheme for mammography. - Bin Zheng 001; Yuan-Hsiang Chang; Xiao-Hui Wang 011; Walter F. Good (IJCNN, 1999)

Multi-image CAD employing features derived from ipsilateral mammographic views. - Walter F. Good; Bin Zheng 001; Yuan-Hsiang Chang; Xiao Hui Wang 011; Glenn S. Maitz; David Gur (Image Processing, 1999)

Generalized procrustean image deformation for subtraction of mammograms. - Walter F. Good; Bin Zheng 001; Yuan-Hsiang Chang; Xiao Hui Wang 011; Glenn S. Maitz (Image Processing, 1999)

Optimizing the feature set for a Bayesian network for breast cancer diagnosis using genetic algorithm techniques. - Xiao Hui Wang 011; Bin Zheng 001; Yuan-Hsiang Chang; Walter F. Good (Image Processing, 1999)

Application of a Bayesian belief network in a computer-assisted diagnosis scheme for mass detection. - Bin Zheng 001; Yuan-Hsiang Chang; Xiao Hui Wang 011; Walter F. Good; David Gur (Image Processing, 1999)

Computer-assisted diagnosis of breast cancer using a data-driven Bayesian belief network. - Xiao-Hui Wang 011; Bin Zheng 001; Walter F. Good; Jill L. King; Yuan-Hsiang Chang (Int. J. Medical Informatics, 1999)

Correction of digitized mammograms to enhance soft display and tissue composition measurement. - Xiao Hui Wang 011; Bin Zheng 001; Yuan-Hsiang Chang; Walter F. Good (Image-Guided Procedures, 2001)

Computerized analysis of lesions in 3D MR breast images. - He Wang; Bin Zheng 001; Walter F. Good; Xiao Hui Wang 011 (Image Processing, 2001)

Change of region conspicuity in bilateral mammograms: potential impact on CAD performance. - Bin Zheng 001; Xiao Hui Wang 011; Yuan-Hsiang Chang; Lara A. Hardesty; Marie A. Ganott; Walter F. Good; David Gur (Image Processing, 2002)

Incorporation of negative regions in a knowledge-based computer-aided detection scheme. - Yuan-Hsiang Chang; Xiao Hui Wang 011; Lara A. Hardesty; Christiane M. Hakim; Bin Zheng 001; Walter F. Good; David Gur (Image Processing, 2002)

A simple method for automated lung segmentation in x-ray CT images. - Bin Zheng 001; Joseph Ken Leader; Glenn S. Maitz; Brian E. Chapman; Carl R. Fuhrman; Robert M. Rogers; Frank C. Sciurba; Andrew Perez; Paul Thompson; Walter F. Good; David Gur (Image Processing, 2003)

Improving CAD performance in detecting masses depicted on prior images. - Bin Zheng 001; Xiao Hui Wang 011; Luisa P. Wallace; Cathy Cohen; Lara A. Hardesty; Christiane M. Hakim; Gordon Abran; Jules H. Sumkin; David Gur (Image Processing, 2003)

Automated detection and classification of interstitial lung diseases from low-dose CT images. - Bin Zheng 001; Joseph Ken Leader; Carl R. Fuhrman; Frank C. Sciurba; David Gur (Image Processing, 2004)

Increasing sensitivity of masses cued on both views by CAD. - Bin Zheng 001; Glenn S. Maitz; Joseph K. Leader; David Gur (Image Processing, 2006)

Improvement of Visual Similarity of Similar Breast Masses Selected by Computer-Aided Diagnosis Schemes. - Bin Zheng 001; Claudia Mello-Thoms; Xiao-Hui Wang 011; David Gur (ISBI, 2007)

Mass margins spiculations: agreement between ratings by observers and a computer scheme. - Bin Zheng 001; Gordon Abrams; Lara A. Hardesty; Sang Cheol Park; John M. Drescher; Glenn S. Maitz; David Gur (Computer-Aided Diagnosis, 2007)

Applying a 2D based CAD scheme for detecting micro-calcification clusters using digital breast tomosynthesis images: an assessment. - Sang Cheol Park; Bin Zheng 001; Xiao-Hui Wang 011; David Gur (Computer-Aided Diagnosis, 2008)

Assessment of the relationship between lesion segmentation accuracy and computer-aided diagnosis scheme performance. - Bin Zheng 001; Jiantao Pu; Sang Cheol Park; Margarita L. Zuley; David Gur (Computer-Aided Diagnosis, 2008)

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)

Computer-aided detection of HER2 amplification status using FISH images: a preliminary study. - Bin Zheng 001; Xiao-Hui Wang 011; Urvashi Surti; Rohit Bhargava; David Gur (Computer-Aided Diagnosis, 2009)

A visualization system for CT based pulmonary fissure analysis. - Jiantao Pu; Bin Zheng 001; Sang Cheol Park (Image-Guided Procedures, 2009)

Pulmonary airways tree segmentation from CT examinations using adaptive volume of interest. - Sang-Cheol Park; Won Pil Kim; Bin Zheng 001; Joseph K. Leader; Jiantao Pu; Jun Tan; David Gur (Image Processing, 2009)

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)

A Computational Geometry Approach to Automated Pulmonary Fissure Segmentation in CT Examinations. - Jiantao Pu; Joseph K. Leader; Bin Zheng 001; Friedrich Knollmann; Carl Fuhrman; Frank C. Sciurba; David Gur (IEEE Trans. Medical Imaging, 2009)

Pulmonary Lobe Segmentation in CT Examinations Using Implicit Surface Fitting. - Jiantao Pu; Bin Zheng 001; Joseph K. Leader; Carl Fuhrman; Friedrich Knollmann; Amy Klym; David Gur (IEEE Trans. Medical Imaging, 2009)

Improving performance and reliability of interactive CAD schemes. - Xiao-Hui Wang 011; Sang Cheol Park; Jun Tan; Joseph K. Leader; Bin Zheng 001 (Computer-Aided Diagnosis, 2010)

Computer-aided Detection: The Impact of Machine Learning Classifier and Image Feature Selection on Scheme Performance. - Xingwei Wang 004; Dror Lederman; Jun Tan; Bin Zheng 001 (Int. J. Intell. Inf. Process., 2010)

Multi-probe-based resonance-frequency electrical impedance spectroscopy for detection of suspicious breast lesions: improving performance using partial ROC optimization. - Dror Lederman; Bin Zheng 001; Xingwei Wang 004; Xiao Hui Wang 011; David Gur (Computer-Aided Diagnosis, 2011)

Computerized prediction of breast cancer risk: comparison between the global and local bilateral mammographic tissue asymmetry. - Xingwei Wang 004; Dror Lederman; Jun Tan; Xiao-Hui Wang 011; Bin Zheng 001 (Computer-Aided Diagnosis, 2011)

Assessment of Performance and Reliability of Computer-Aided Detection Scheme Using Content-Based Image Retrieval Approach and Limited Reference Database. - Xiao-Hui Wang 011; Sang-Cheol Park; Bin Zheng 001 (J. Digit. Imaging, 2011)

A Multistage Approach to Improve Performance of Computer-Aided Detection of Pulmonary Embolisms Depicted on CT Images: Preliminary Investigation. - Sang-Cheol Park; Brian E. Chapman; Bin Zheng 001 (IEEE Trans. Biomed. Eng., 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)

Improving performance of computer-aided detection of pulmonary embolisms by incorporating a new pulmonary vascular-tree segmentation algorithm. - Xingwei Wang 004; XiaoFei Song; Brian E. Chapman; 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)

Improving breast mass detection using histogram of oriented gradients. - Victor Pomponiu; Harishwaran Hariharan; Bin Zheng 001; David Gur (Computer-Aided Diagnosis, 2014)

Using undiagnosed data to enhance computerized breast cancer analysis with a three stage data labeling method. - Wenqing Sun; Tzu-Liang Tseng; Bin Zheng 001; Fleming Lure; Teresa Wu; Giulio Francia; Sergio Cabrera; Jianying Zhang; Miguel Vélez-Reyes; Wei Qian 001 (Computer-Aided Diagnosis, 2014)

A new mass classification system derived from multiple features and a trained MLP model. - Maxine Tan; Jiantao Pu; Bin Zheng 001 (Computer-Aided Diagnosis, 2014)

Fusion of digital breast tomosynthesis images via wavelet synthesis for improved lesion conspicuity. - Harishwaran Hariharan; Victor Pomponiu; Bin Zheng 001; Bruce R. Whiting; David Gur (Image Processing, 2014)

Optimization of breast mass classification using sequential forward floating selection (SFFS) and a support vector machine (SVM) model. - Maxine Tan; Jiantao Pu; Bin Zheng 001 (Int. J. Comput. Assist. Radiol. Surg., 2014)

Prediction of near-term risk of developing breast cancer using computerized features from bilateral mammograms. - Wenqing Sun; Bin Zheng 001; Fleming Lure; Teresa Wu; Jianying Zhang; Benjamin Y. Wang; Edward C. Saltzstein; Wei Qian 001 (Comput. Medical Imaging Graph., 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)

A new computer-aided detection scheme based on assessment of local bilateral mammographic feature asymmetry - a preliminary evaluation. - Adam Kelder; Yaniv Zigel; Dror Lederman; Bin Zheng 001 (EMBC, 2015)

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)

Automated detection of breast tumor in MRI and comparison of kinetic features for assessing tumor response to chemotherapy. - Faranak Aghaei; Maxine Tan; Bin Zheng 001 (Computer-Aided Diagnosis, 2015)

Exploring new quantitative CT image features to improve assessment of lung cancer prognosis. - Nastaran Emaminejad; Wei Qian 001; Yan Kang; Yubao Guan; Fleming Lure; Bin Zheng 001 (Computer-Aided Diagnosis, 2015)

A new Fourier transform based CBIR scheme for mammographic mass classification: a preliminary invariance assessment. - Rohith Reddy Gundreddy; Maxine Tan; Yuchen Qiu; Bin Zheng 001 (Computer-Aided Diagnosis, 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)

A new breast cancer risk analysis approach using features extracted from multiple sub-regions on bilateral mammograms. - Wenqing Sun; Tzu-Liang Bill Tseng; Bin Zheng 001; Jianying Zhang; Wei Qian 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)

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)

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)

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)

A Preliminary Study on Breast Cancer Risk Analysis Using Deep Neural Network. - Wenqing Sun; Tzu-Liang (Bill) Tseng; Bin Zheng 001; Wei Qian 001 (Digital Mammography / IWDM, 2016)

A Novel Breast Cancer Risk Assessment Scheme Design Using Dual View Mammograms. - Wenqing Sun; Tzu-Liang (Bill) Tseng; Bin Zheng 001; Jiangying Zhang; Wei Qian 001 (Digital Mammography / IWDM, 2016)

Computer-aided global breast MR image feature analysis for prediction of tumor response to chemotherapy: performance assessment. - Faranak Aghaei; Maxine Tan; Alan B. Hollingsworth; Bin Zheng 001; Samuel Cheng 001 (Computer-Aided Diagnosis, 2016)

Applying a radiomics approach to predict prognosis of lung cancer patients. - Nastaran Emaminejad; Shiju Yan; Yunzhi Wang 002; Wei Qian 001; Yubao Guan; Bin Zheng 001 (Computer-Aided Diagnosis, 2016)

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)

Computer aided lung cancer diagnosis with deep learning algorithms. - Wenqing Sun; Bin Zheng 001; Wei Qian 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)

Improving the performance of lesion-based computer-aided detection schemes of breast masses using a case-based adaptive cueing method. - Maxine Tan; Faranak Aghaei; Yunzhi Wang 002; Wei Qian 001; 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)

Current source enhancements in Electrical Impedance Spectroscopy (EIS) to cancel unwanted capacitive effects. - Ali Zarafshani; Thomas Bach 002; Chris R. Chatwin; Liangzhong Xiang; Bin Zheng 001 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2017)

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)

Automated detection and quantification of residual brain tumor using an interactive computer-aided detection scheme. - Kevin P. Gaffney; Faranak Aghaei; James Battiste; Bin Zheng 001 (Computer-Aided Diagnosis, 2017)

Balance the nodule shape and surroundings: a new multichannel image based convolutional neural network scheme on lung nodule diagnosis. - Wenqing Sun; Bin Zheng 001; Xia Huang; Wei Qian 001 (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)

Applying a new bilateral mammographic density segmentation method to improve accuracy of breast cancer risk prediction. - Shiju Yan; Yunzhi Wang 002; Faranak Aghaei; Yuchen Qiu; Bin Zheng 001 (Int. J. Comput. Assist. Radiol. Surg., 2017)

Automatic feature learning using multichannel ROI based on deep structured algorithms for computerized lung cancer diagnosis. - Wenqing Sun; Bin Zheng 001; Wei Qian 001 (Comput. Biol. Medicine, 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)

Computer-aided classification of breast masses using contrast-enhanced digital mammograms. - Gopichandh Danala; Faranak Aghaei; Morteza Heidari; Teresa Wu; Bhavika Patel; Bin Zheng 001 (Computer-Aided Diagnosis, 2018)

Improving performance of breast cancer risk prediction using a new CAD-based region segmentation scheme. - Morteza Heidari; Abolfazl Zargari Khuzani; Gopichandh Danala; Yuchen Qiu; Bin Zheng 001 (Computer-Aided Diagnosis, 2018)

Applying a new unequally weighted feature fusion method to improve CAD performance of classifying breast lesions. - Abolfazl Zargari Khuzani; Gopichandh Danala; Morteza Heidari; Yue Du; Najmeh Mashhadi; Yuchen Qiu; Bin Zheng 001 (Computer-Aided Diagnosis, 2018)

Applying a CAD-generated imaging marker to assess short-term breast cancer risk. - Seyedehnafiseh Mirniaharikandehei; Ali Zarafshani; Morteza Heidari; Yunzhi Wang 002; Faranak Aghaei; 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)

SD-CNN: A shallow-deep CNN for improved breast cancer diagnosis. - Fei Gao 015; Teresa Wu; Jing Li 016; Bin Zheng 001; Lingxiang Ruan; Desheng Shang; Bhavika Patel (Comput. Medical Imaging Graph., 2018)

A new near-term breast cancer risk prediction scheme based on the quantitative analysis of ipsilateral view mammograms. - Wenqing Sun; Tzu-Liang (Bill) Tseng; Wei Qian 001; Edward C. Saltzstein; Bin Zheng 001; Hui Yu; Shi Zhou (Comput. Methods Programs Biomed., 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 computer-aided image analysis and visualization tool to predict region-specific brain tissue "at risk" for developing acute ischemic stroke. - Gopichandh Danala; Morteza Heidari; Faranak Aghaei; Bappaditya Ray; Bin Zheng 001 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2019)

Design, fabrication and evaluation of non-imaging, label-free pre-screening tool using quantified bio-electrical tissue profile. - Ali Zarafshani; Yunzhi Wang 002; Seyedeh-Nafiseh Mirniaharikandehei; Morteza Heidari; Faranak Aghaei; Siqi Wang; Liangzhong Xiang; Bin Zheng 001 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2019)

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)

Association of computer-aided detection results and breast cancer risk. - Seyedehnafiseh Mirniaharikandehei; Morteza Heidari; Gopichandh Danala; Wei Qian 001; Yuchen Qiu; Bin Zheng 001 (Computer-Aided Diagnosis, 2019)

Assessment of a quantitative mammographic imaging marker for breast cancer risk prediction. - Morteza Heidari; Seyedehnafiseh Mirniaharikandehei; Abolfazl Zargari Khuzani; Wei Qian 001; Yuchen Qiu; Bin Zheng 001 (Image Perception, Observer Performance, and Technology Assessment, 2019)

A robust method for segmenting pectoral muscle in mediolateral oblique (MLO) mammograms. - Kaiming Yin; Shiju Yan; Chengli Song; Bin Zheng 001 (Int. J. Comput. Assist. Radiol. Surg., 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)

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)

Developing global image feature analysis models to predict cancer risk and prognosis. - Bin Zheng 001; Yuchen Qiu; Faranak Aghaei; Seyedehnafiseh Mirniaharikandehei; Morteza Heidari; Gopichandh Danala (Vis. Comput. Ind. Biomed. Art, 2019)

A new interactive visual-aided decision-making supporting tool to predict severity of acute ischemic stroke. - Gopichandh Danala; Sai Kiran Reddy Maryada; Morteza Heidari; Bappaditya Ray; Masoom Desai; Bin Zheng 001 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2020)

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)

A Stacked Generalization U-shape network based on zoom strategy and its application in biomedical image segmentation. - Tianyu Shi; Huiyan Jiang; Bin Zheng 001 (Comput. Methods Programs Biomed., 2020)

Improving the performance of CNN to predict the likelihood of COVID-19 using chest X-ray images with preprocessing algorithms. - Morteza Heidari; Seyedehnafiseh Mirniaharikandehei; Abolfazl Zargari Khuzani; Gopichandh Danala; Yuchen Qiu; Bin Zheng 001 (Int. J. Medical Informatics, 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)

An interactive computer-aided detection software tool for quantitative estimation of intracerebral hemorrhage. - Gopichandh Danala; Masoom Desai; Sama Astani; Bahram Rabbani; Jorge G. Ortiz-Garcia; Bin Zheng 001 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2021)

Applying quantitative image markers to predict clinical measures after aneurysmal subarachnoid hemorrhage. - Gopichandh Danala; Masoom Desai; Maryum Shoukat; Ahmer Asif; Morteza Heidari; Bin Zheng 001 (Computer-Aided Diagnosis, 2021)

Detecting COVID-19 infected pneumonia from x-ray images using a deep learning model with image preprocessing algorithm. - Morteza Heidari; Seyedehnafiseh Mirniaharikandehei; Abolfazl Zargari Khuzani; Gopichandh Danala; Yuchen Qiu; Bin Zheng 001 (Computer-Aided Diagnosis, 2021)

A novel feature reduction method to improve performance of machine learning model. - Seyedehnafiseh Mirniaharikandehei; Morteza Heidari; Gopichandh Danala; Sivaramakrishnan Lakshmivarahan; Bin Zheng 001 (Computer-Aided Diagnosis, 2021)

Applying a random projection algorithm to optimize machine learning model for predicting peritoneal metastasis in gastric cancer patients using CT images. - Seyedehnafiseh Mirniaharikandehei; Morteza Heidari; Gopichandh Danala; Sivaramakrishnan Lakshmivarahan; Bin Zheng 001 (Comput. Methods Programs Biomed., 2021)

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)

Improving the performance of computer-aided classification of breast lesions using a new feature fusion method. - Warid Islam; Gopichandh Danala; Huong Pham; Bin Zheng 001 (Computer-Aided Diagnosis, 2022)

Fusion of handcrafted and deep transfer learning features to improve performance of breast lesion classification. - Meredith A. Jones; Huong Pham; Tiancheng Gai; Bin Zheng 001 (Computer-Aided Diagnosis, 2022)

Applying a novel two-stage deep-learning model to improve accuracy in detecting retinal fundus images. - Sai Kiran Reddy Maryada; William Booker; Gopichandh Danala; Catherine An Ha; Sanjana Mudduluru; Dean F. Hougen; Bin Zheng 001 (Computer-Aided Diagnosis, 2022)

Identifying an optimal machine learning generated image marker to predict survival of gastric cancer patients. - Huong Pham; Meredith A. Jones; Tiancheng Gai; Warid Islam; Gopichandh Danala; Javier A. Jo; Bin Zheng 001 (Computer-Aided Diagnosis, 2022)

Developing interactive computer-aided detection tools to support translational clinical research. - Gopichandh Danala; Seyedehnafiseh Mirniaharikandehei; Meredith A. Jones; Tiancheng Gai; Sai Kiran Reddy Maryada; Dee Wu; Yuchen Qiu; Bin Zheng 001 (Image Perception, Observer Performance, and Technology Assessment, 2022)

Comparison of performance in breast lesions classification using radiomics and deep transfer learning: an assessment study. - Gopichandh Danala; Sai Kiran Reddy Maryada; Huong Pham; Warid Islam; Meredith A. Jones; Bin Zheng 001 (Image Perception, Observer Performance, and Technology Assessment, 2022)

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)

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)

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)

C2MA-Net: Cross-Modal Cross-Attention Network for Acute Ischemic Stroke Lesion Segmentation Based on CT Perfusion Scans. - Tianyu Shi; Huiyan Jiang; Bin Zheng 001 (IEEE Trans. Biomed. Eng., 2022)

Assessing an AI-based smart imagery framing and truthing (SIFT) system to assist radiologists annotating lung abnormalities on chest x-ray images for development of deep learning models. - Lin Guo; Kunlei Hong; Ziqi Zhang; Bin Zheng 001; Stefan Jaeger 001; Jordan D. Fuhrman; Hui Li 024; Maryellen L. Giger; Andrei Gabrielian; Alex Rosenthal; Darrell E. Hurt; Ziv Yaniv; et al. (Computer-Aided Diagnosis, 2023)

Improving medical image segmentation and classification using a novel joint deep learning model. - Sanjana Mudduluru; Sai Kiran Reddy Maryada; William Booker; Dean F. Hougen; Bin Zheng 001 (Computer-Aided Diagnosis, 2023)

Deep learning-based rectum segmentation on low-field prostate MRI to assist image-guided biopsy. - Huong Pham; Dang Bich Thuy Le; Meredith Sadinski; Ram Narayanan; Aleksandar Nacev; Bin Zheng 001 (Image-Guided Procedures, 2023)

An observer comparison study to evaluate a machine learning model to quantify the infected pneumonia on lung CT images. - Alireza Abdihamzehkolaei; Seyedehnafiseh Mirniaharikandehei; Angel Choquehuanca; Marco Aedo Lopez; Wilmer Pacheco; Laura Estacio; Victor Cahui; Luis Huallpa; Kevin Quiñonez; Valeria Calderón; Ana Maria Gutiérrez; Ana Vargas; et al. (Image Perception, Observer Performance, and Technology Assessment, 2023)

Developing and assessing an AI-based multi-task prediction system to assist radiologists detecting lung diseases in reading chest x-ray images. - Lin Guo; Kunlei Hong; Qian Xiao; Lingjun Qian; Stefan Jaeger 001; Bin Zheng 001; Shenwen Quan; Li Xia; Guanxun Cheng; Y. M. Fleming Lure (Image Perception, Observer Performance, and Technology Assessment, 2023)