Bin Zheng

ORCID

Publication Activity (10 Years)

Years Active: 1998-2023
Publications (10 Years): 67

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging

Medical Imaging: Image Perception, Observer Performance, and Technology Assessment

Comput. Methods Programs Biomed.

Publications

Lin Guo, Kunlei Hong, Qian Xiao, Lingjun Qian, Stefan Jaeger, Bin Zheng, Shenwen Quan, Li Xia, Guanxun Cheng, Y. M. Fleming Lure
Developing and assessing an AI-based multi-task prediction system to assist radiologists detecting lung diseases in reading chest x-ray images. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
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, Dery Gamero, Eveling Castro Gutierrez, Yuchen Qiu, Bin Zheng, Javier A. Jo
An observer comparison study to evaluate a machine learning model to quantify the infected pneumonia on lung CT images. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Huong Pham, Dang Bich Thuy Le, Meredith Sadinski, Ram Narayanan, Aleksandar Nacev, Bin Zheng
Deep learning-based rectum segmentation on low-field prostate MRI to assist image-guided biopsy. Medical Imaging: Image-Guided Procedures (2023)
Sanjana Mudduluru, Sai Kiran Reddy Maryada, William Booker, Dean F. Hougen, Bin Zheng
Improving medical image segmentation and classification using a novel joint deep learning model. Medical Imaging: Computer-Aided Diagnosis (2023)
Gopichandh Danala, Sai Kiran Reddy Maryada, Huong Pham, Warid Islam, Meredith A. Jones, Bin Zheng
Comparison of performance in breast lesions classification using radiomics and deep transfer learning: an assessment study. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2022)
Seyedehnafiseh Mirniaharikandehei, Alan B. Hollingsworth, Meredith A. Jones, Hong Liu, Yuchen Qiu, Bin Zheng
Assessment of a new CAD-generated imaging marker to predict risk of having mammography-occult tumors. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2022)
Tianyu Shi, Huiyan Jiang, Bin Zheng
MA-Net: Cross-Modal Cross-Attention Network for Acute Ischemic Stroke Lesion Segmentation Based on CT Perfusion Scans. IEEE Trans. Biomed. Eng. 69 (1) (2022)
Gopichandh Danala, Seyedehnafiseh Mirniaharikandehei, Meredith A. Jones, Tiancheng Gai, Sai Kiran Reddy Maryada, Dee Wu, Yuchen Qiu, Bin Zheng
Developing interactive computer-aided detection tools to support translational clinical research. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2022)
Xuxin Chen, Ximin Wang, Ke Zhang, Kar-Ming Fung, Theresa C. Thai, Kathleen Moore, Robert S. Mannel, Hong Liu, Bin Zheng, Yuchen Qiu
Recent advances and clinical applications of deep learning in medical image analysis. Medical Image Anal. 79 (2022)
Warid Islam, Gopichandh Danala, Huong Pham, Bin Zheng
Improving the performance of computer-aided classification of breast lesions using a new feature fusion method. Medical Imaging: Computer-Aided Diagnosis (2022)
Sai Kiran Reddy Maryada, William Booker, Gopichandh Danala, Catherine An Ha, Sanjana Mudduluru, Dean F. Hougen, Bin Zheng
Applying a novel two-stage deep-learning model to improve accuracy in detecting retinal fundus images. Medical Imaging: Computer-Aided Diagnosis (2022)
Meredith A. Jones, Huong Pham, Tiancheng Gai, Bin Zheng
Fusion of handcrafted and deep transfer learning features to improve performance of breast lesion classification. Medical Imaging: Computer-Aided Diagnosis (2022)
Huong Pham, Meredith A. Jones, Tiancheng Gai, Warid Islam, Gopichandh Danala, Javier A. Jo, Bin Zheng
Identifying an optimal machine learning generated image marker to predict survival of gastric cancer patients. Medical Imaging: Computer-Aided Diagnosis (2022)
Gopichandh Danala, Masoom Desai, Maryum Shoukat, Ahmer Asif, Morteza Heidari, Bin Zheng
Applying quantitative image markers to predict clinical measures after aneurysmal subarachnoid hemorrhage. Medical Imaging: Computer-Aided Diagnosis (2021)
Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, Gopichandh Danala, Yuchen Qiu, Bin Zheng
Detecting COVID-19 infected pneumonia from x-ray images using a deep learning model with image preprocessing algorithm. Medical Imaging: Computer-Aided Diagnosis (2021)
Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala, Sivaramakrishnan Lakshmivarahan, Bin Zheng
A novel feature reduction method to improve performance of machine learning model. Medical Imaging: Computer-Aided Diagnosis (2021)
Gopichandh Danala, Masoom Desai, Sama Astani, Bahram Rabbani, Jorge G. Ortiz-Garcia, Bin Zheng
An interactive computer-aided detection software tool for quantitative estimation of intracerebral hemorrhage. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2021)
Morteza Heidari, Sivaramakrishnan Lakshmivarahan, Seyedehnafiseh Mirniaharikandehei, Gopichandh Danala, Sai Kiran Reddy Maryada, Hong Liu, Bin Zheng
Applying a Random Projection Algorithm to Optimize Machine Learning Model for Breast Lesion Classification. IEEE Trans. Biomed. Eng. 68 (9) (2021)
Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala, Sivaramakrishnan Lakshmivarahan, Bin Zheng
Applying a random projection algorithm to optimize machine learning model for predicting peritoneal metastasis in gastric cancer patients using CT images. Comput. Methods Programs Biomed. 200 (2021)
Gopichandh Danala, Sai Kiran Reddy Maryada, Morteza Heidari, Bappaditya Ray, Masoom Desai, Bin Zheng
A new interactive visual-aided decision-making supporting tool to predict severity of acute ischemic stroke. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2020)
Morteza Heidari, Sivaramakrishnan Lakshmivarahan, Seyedehnafiseh Mirniaharikandehei, Gopichandh Danala, Sai Kiran Reddy Maryada, Hong Liu, Bin Zheng
Applying a random projection algorithm to optimize machine learning model for breast lesion classification. CoRR (2020)
Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala, Sivaramakrishnan Lakshmivarahan, Bin Zheng
Applying a random projection algorithm to optimize machine learning model for predicting peritoneal metastasis in gastric cancer patients using CT images. CoRR (2020)
Tianyu Shi, Huiyan Jiang, Bin Zheng
A Stacked Generalization U-shape network based on zoom strategy and its application in biomedical image segmentation. Comput. Methods Programs Biomed. 197 (2020)
Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Wei Liu, Alan B. Hollingsworth, Hong Liu, Bin Zheng
Development and Assessment of a New Global Mammographic Image Feature Analysis Scheme to Predict Likelihood of Malignant Cases. IEEE Trans. Medical Imaging 39 (4) (2020)
Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, Gopichandh Danala, Yuchen Qiu, Bin Zheng
Improving the performance of CNN to predict the likelihood of COVID-19 using chest X-ray images with preprocessing algorithms. Int. J. Medical Informatics 144 (2020)
Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, Gopichandh Danala, Yuchen Qiu, Bin Zheng
Improving performance of CNN to predict likelihood of COVID-19 using chest X-ray images with preprocessing algorithms. CoRR (2020)
Faranak Aghaei, Alan B. Hollingsworth, Seyedehnafiseh Mirniaharikandehei, Yunzhi Wang, Hong Liu, Bin Zheng
Developing a new quantitative imaging marker to predict pathological complete response to neoadjuvant chemotherapy. Medical Imaging: Computer-Aided Diagnosis (2019)
Bin Zheng, Yuchen Qiu, Faranak Aghaei, Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala
Developing global image feature analysis models to predict cancer risk and prognosis. Vis. Comput. Ind. Biomed. Art 2 (2019)
Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala, Wei Qian, Yuchen Qiu, Bin Zheng
Association of computer-aided detection results and breast cancer risk. Medical Imaging: Computer-Aided Diagnosis (2019)
Gopichandh Danala, Morteza Heidari, Faranak Aghaei, Bappaditya Ray, Bin Zheng
Developing a computer-aided image analysis and visualization tool to predict region-specific brain tissue "at risk" for developing acute ischemic stroke. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2019)
Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, Wei Qian, Yuchen Qiu, Bin Zheng
Assessment of a quantitative mammographic imaging marker for breast cancer risk prediction. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2019)
Kaiming Yin, Shiju Yan, Chengli Song, Bin Zheng
A robust method for segmenting pectoral muscle in mediolateral oblique (MLO) mammograms. Int. J. Comput. Assist. Radiol. Surg. 14 (2) (2019)
Ali Zarafshani, Yunzhi Wang, Seyedeh-Nafiseh Mirniaharikandehei, Morteza Heidari, Faranak Aghaei, Siqi Wang, Liangzhong Xiang, Bin Zheng
Design, fabrication and evaluation of non-imaging, label-free pre-screening tool using quantified bio-electrical tissue profile. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2019)
Xuxin Chen, Abolfazl Zargari, Alan B. Hollingsworth, Hong Liu, Bin Zheng, Yuchen Qiu
Applying a new quantitative image analysis scheme based on global mammographic features to assist diagnosis of breast cancer. Comput. Methods Programs Biomed. 179 (2019)
Gopichandh Danala, Faranak Aghaei, Morteza Heidari, Teresa Wu, Bhavika Patel, Bin Zheng
Computer-aided classification of breast masses using contrast-enhanced digital mammograms. Medical Imaging: Computer-Aided Diagnosis (2018)
Morteza Heidari, Abolfazl Zargari Khuzani, Gopichandh Danala, Yuchen Qiu, Bin Zheng
Improving performance of breast cancer risk prediction using a new CAD-based region segmentation scheme. Medical Imaging: Computer-Aided Diagnosis (2018)
Faranak Aghaei, Gopichandh Danala, Yunzhi Wang, Ali Zarafshani, Wei Qian, Hong Liu, Bin Zheng
Association between mammogram density and background parenchymal enhancement of breast MRI. Medical Imaging: Computer-Aided Diagnosis (2018)
Abolfazl Zargari Khuzani, Gopichandh Danala, Morteza Heidari, Yue Du, Najmeh Mashhadi, Yuchen Qiu, Bin Zheng
Applying a new unequally weighted feature fusion method to improve CAD performance of classifying breast lesions. Medical Imaging: Computer-Aided Diagnosis (2018)
Fei Gao, Teresa Wu, Jing Li, Bin Zheng, Lingxiang Ruan, Desheng Shang, Bhavika Patel
SD-CNN: a Shallow-Deep CNN for Improved Breast Cancer Diagnosis. CoRR (2018)
Di Wu, Molly Donovan Wong, Kai Yang, Aimin Yan, Yuhua Li, Laurie Lee Fajardo, Bin Zheng, Xizeng Wu, Hong Liu
Using Microbubble as Contrast Agent for High-Energy X-Ray In-line Phase Contrast Imaging: Demonstration and Comparison Study. IEEE Trans. Biomed. Eng. 65 (5) (2018)
Yue Du, Roy Zhang, Abolfazl Zargari, Theresa C. Thai, Camille C. Gunderson, Katherine M. Moxley, Hong Liu, Bin Zheng, Yuchen Qiu
A performance comparison of low- and high-level features learned by deep convolutional neural networks in epithelium and stroma classification. Medical Imaging: Digital Pathology (2018)
Faranak Aghaei, Gopichandh Danala, Alan B. Hollingsworth, Rebecca G. Stough, Melanie Pearce, Hong Liu, Bin Zheng
Applying a new mammographic imaging marker to predict breast cancer risk. Medical Imaging: Computer-Aided Diagnosis (2018)
Seyedehnafiseh Mirniaharikandehei, Ali Zarafshani, Morteza Heidari, Yunzhi Wang, Faranak Aghaei, Bin Zheng
Applying a CAD-generated imaging marker to assess short-term breast cancer risk. Medical Imaging: Computer-Aided Diagnosis (2018)
Wenqing Sun, Tzu-Liang (Bill) Tseng, Wei Qian, Edward C. Saltzstein, Bin Zheng, Hui Yu, Shi Zhou
A new near-term breast cancer risk prediction scheme based on the quantitative analysis of ipsilateral view mammograms. Comput. Methods Programs Biomed. 155 (2018)
Fei Gao, Teresa Wu, Jing Li, Bin Zheng, Lingxiang Ruan, Desheng Shang, Bhavika Patel
SD-CNN: A shallow-deep CNN for improved breast cancer diagnosis. Comput. Medical Imaging Graph. 70 (2018)
Shiju Yan, Yunzhi Wang, Faranak Aghaei, Yuchen Qiu, Bin Zheng
Applying a new bilateral mammographic density segmentation method to improve accuracy of breast cancer risk prediction. Int. J. Comput. Assist. Radiol. Surg. 12 (10) (2017)
Wenqing Sun, Bin Zheng, Xia Huang, Wei Qian
Balance the nodule shape and surroundings: a new multichannel image based convolutional neural network scheme on lung nodule diagnosis. Medical Imaging: Computer-Aided Diagnosis (2017)
Yunzhi Wang, Yuchen Qiu, Theresa C. Thai, Kathleen N. Moore, Hong Liu, Bin Zheng
Applying a deep learning based CAD scheme to segment and quantify visceral and subcutaneous fat areas from CT images. Medical Imaging: Computer-Aided Diagnosis (2017)
Gopichandh Danala, Yunzhi Wang, Theresa C. Thai, Camille Gunderson, Katherine Moxley, Kathleen N. Moore, Robert S. Mannel, Hong Liu, Bin Zheng, Yuchen Qiu
Apply radiomics approach for early stage prognostic evaluation of ovarian cancer patients: a preliminary study. Medical Imaging: Computer-Aided Diagnosis (2017)
Ali Zarafshani, Thomas Bach, Chris R. Chatwin, Liangzhong Xiang, Bin Zheng
Current source enhancements in Electrical Impedance Spectroscopy (EIS) to cancel unwanted capacitive effects. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2017)
Yunzhi Wang, Yuchen Qiu, Theresa C. Thai, Kathleen N. Moore, Hong Liu, Bin Zheng
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. 144 (2017)
Kevin P. Gaffney, Faranak Aghaei, James Battiste, Bin Zheng
Automated detection and quantification of residual brain tumor using an interactive computer-aided detection scheme. Medical Imaging: Computer-Aided Diagnosis (2017)
Wenqing Sun, Bin Zheng, Wei Qian
Automatic feature learning using multichannel ROI based on deep structured algorithms for computerized lung cancer diagnosis. Comput. Biol. Medicine 89 (2017)
Yunzhi Wang, Yuchen Qiu, Theresa C. Thai, Kathleen N. Moore, Kai Ding, Hong Liu, Bin Zheng
Applying quantitative adiposity feature analysis models to predict benefit of bevacizumab-based chemotherapy in ovarian cancer patients. Medical Imaging: Computer-Aided Diagnosis (2016)
Wenqing Sun, Tzu-Liang (Bill) Tseng, Bin Zheng, Jiangying Zhang, Wei Qian
A Novel Breast Cancer Risk Assessment Scheme Design Using Dual View Mammograms. Digital Mammography / IWDM (2016)
Nastaran Emaminejad, Wei Qian, Yubao Guan, Maxine Tan, Yuchen Qiu, Hong Liu, Bin Zheng
Fusion of Quantitative Image and Genomic Biomarkers to Improve Prognosis Assessment of Early Stage Lung Cancer Patients. IEEE Trans. Biomed. Eng. 63 (5) (2016)
Yuchen Qiu, Shiju Yan, Maxine Tan, Samuel Cheng, Hong Liu, Bin Zheng
Computer-aided classification of mammographic masses using the deep learning technology: a preliminary study. Medical Imaging: Computer-Aided Diagnosis (2016)
Maxine Tan, Zheng Li, Yuchen Qiu, Scott D. McMeekin, Theresa C. Thai, Kai Ding, Kathleen N. Moore, Hong Liu, Bin Zheng
A New Approach to Evaluate Drug Treatment Response of Ovarian Cancer Patients Based on Deformable Image Registration. IEEE Trans. Medical Imaging 35 (1) (2016)
Faranak Aghaei, Maxine Tan, Alan B. Hollingsworth, Bin Zheng, Samuel Cheng
Computer-aided global breast MR image feature analysis for prediction of tumor response to chemotherapy: performance assessment. Medical Imaging: Computer-Aided Diagnosis (2016)
Wenqing Sun, Bin Zheng, Wei Qian
Computer aided lung cancer diagnosis with deep learning algorithms. Medical Imaging: Computer-Aided Diagnosis (2016)
Nastaran Emaminejad, Shiju Yan, Yunzhi Wang, Wei Qian, Yubao Guan, Bin Zheng
Applying a radiomics approach to predict prognosis of lung cancer patients. Medical Imaging: Computer-Aided Diagnosis (2016)
Maxine Tan, Faranak Aghaei, Yunzhi Wang, Wei Qian, Bin Zheng
Improving the performance of lesion-based computer-aided detection schemes of breast masses using a case-based adaptive cueing method. Medical Imaging: Computer-Aided Diagnosis (2016)
Wenqing Sun, Tzu-Liang (Bill) Tseng, Bin Zheng, Wei Qian
A Preliminary Study on Breast Cancer Risk Analysis Using Deep Neural Network. Digital Mammography / IWDM (2016)
Maxine Tan, Faranak Aghaei, Alan B. Hollingsworth, Rebecca G. Stough, Hong Liu, Bin Zheng
Increasing cancer detection yield of breast MRI using a new CAD scheme of mammograms. Medical Imaging: Computer-Aided Diagnosis (2016)
Maxine Tan, Zheng Li, Kathleen N. Moore, Theresa C. Thai, Kai Ding, Hong Liu, Bin Zheng
A B-spline image registration based CAD scheme to evaluate drug treatment response of ovarian cancer patients. Medical Imaging: Computer-Aided Diagnosis (2016)
Yunzhi Wang, Yuchen Qiu, Theresa C. Thai, Kathleen N. Moore, Hong Liu, Bin Zheng
Applying a computer-aided scheme to detect a new radiographic image marker for prediction of chemotherapy outcome. BMC Medical Imaging 16 (2016)
Yuchen Qiu, Yunzhi Wang, Shiju Yan, Maxine Tan, Samuel Cheng, Hong Liu, Bin Zheng
An initial investigation on developing a new method to predict short-term breast cancer risk based on deep learning technology. Medical Imaging: Computer-Aided Diagnosis (2016)
Yuchen Qiu, Xianglan Lu, Maxine Tan, Shibo Li, Hong Liu, Bin Zheng
An automated approach to improve efficacy in detecting residual malignant cancer cell for facilitating prognostic assessment of leukemia: an initial study. Medical Imaging: Digital Pathology (2015)
Sreeram Dhurjaty, Yuchen Qiu, Maxine Tan, Hong Liu, Bin Zheng
A new application of electrical impedance spectroscopy for measuring glucose metabolism: a phantom study. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2015)
Yuchen Qiu, Maxine Tan, Scott D. McMeekin, Theresa C. Thai, Kathleen N. Moore, Kai Ding, Hong Liu, Bin Zheng
Evaluation of chemotherapy response in ovarian cancer treatment using quantitative CT image biomarkers: a preliminary study. Medical Imaging: Computer-Aided Diagnosis (2015)
Nastaran Emaminejad, Wei Qian, Yan Kang, Yubao Guan, Fleming Lure, Bin Zheng
Exploring new quantitative CT image features to improve assessment of lung cancer prognosis. Medical Imaging: Computer-Aided Diagnosis (2015)
Bin Zheng, Wei Qian, Lihua Li, Jiantao Pu, Yan Kang, Fleming Lure, Maxine Tan, Yuchen Qiu
A new CAD approach for improving efficacy of cancer screening. Medical Imaging: Computer-Aided Diagnosis (2015)
Faranak Aghaei, Maxine Tan, Bin Zheng
Automated detection of breast tumor in MRI and comparison of kinetic features for assessing tumor response to chemotherapy. Medical Imaging: Computer-Aided Diagnosis (2015)
Wenqing Sun, Tzu-Liang Bill Tseng, Bin Zheng, Jianying Zhang, Wei Qian
A new breast cancer risk analysis approach using features extracted from multiple sub-regions on bilateral mammograms. Medical Imaging: Computer-Aided Diagnosis (2015)
Rohith Reddy Gundreddy, Maxine Tan, Yuchen Qiu, Bin Zheng
A new Fourier transform based CBIR scheme for mammographic mass classification: a preliminary invariance assessment. Medical Imaging: Computer-Aided Diagnosis (2015)
Adam Kelder, Yaniv Zigel, Dror Lederman, Bin Zheng
A new computer-aided detection scheme based on assessment of local bilateral mammographic feature asymmetry - a preliminary evaluation. EMBC (2015)
Maxine Tan, Joseph K. Leader, Hong Liu, Bin Zheng
Association of mammographic image feature change and an increasing risk trend of developing breast cancer: an assessment. Medical Imaging: Computer-Aided Diagnosis (2015)
Wenqing Sun, Tzu-Liang Tseng, Bin Zheng, Fleming Lure, Teresa Wu, Giulio Francia, Sergio Cabrera, Jianying Zhang, Miguel Vélez-Reyes, Wei Qian
Using undiagnosed data to enhance computerized breast cancer analysis with a three stage data labeling method. Medical Imaging: Computer-Aided Diagnosis (2014)
Wenqing Sun, Bin Zheng, Fleming Lure, Teresa Wu, Jianying Zhang, Benjamin Y. Wang, Edward C. Saltzstein, Wei Qian
Prediction of near-term risk of developing breast cancer using computerized features from bilateral mammograms. Comput. Medical Imaging Graph. 38 (5) (2014)
Qian Yang, Lihua Li, Juan Zhang, Guoliang Shao, Chengjie Zhang, Bin Zheng
Computer-Aided Diagnosis of Breast DCE-MRI Images Using Bilateral Asymmetry of Contrast Enhancement Between Two Breasts. J. Digit. Imaging 27 (1) (2014)
Maxine Tan, Jiantao Pu, Bin Zheng
A new mass classification system derived from multiple features and a trained MLP model. Medical Imaging: Computer-Aided Diagnosis (2014)
Victor Pomponiu, Harishwaran Hariharan, Bin Zheng, David Gur
Improving breast mass detection using histogram of oriented gradients. Medical Imaging: Computer-Aided Diagnosis (2014)
Harishwaran Hariharan, Victor Pomponiu, Bin Zheng, Bruce R. Whiting, David Gur
Fusion of digital breast tomosynthesis images via wavelet synthesis for improved lesion conspicuity. Medical Imaging: Image Processing (2014)
Maxine Tan, Jiantao Pu, Bin Zheng
Optimization of breast mass classification using sequential forward floating selection (SFFS) and a support vector machine (SVM) model. Int. J. Comput. Assist. Radiol. Surg. 9 (6) (2014)
Qian Yang, Lihua Li, Juan Zhang, Chengjie Zhang, Bin Zheng
Association between bilateral asymmetry of kinetic features computed from the DCE-MRI images and breast cancer. Medical Imaging: Computer-Aided Diagnosis (2013)
Xiangying Wu, Weidong Xu, Lihua Li, Wei Liu, Bin Zheng
A multi-scale approach to mass segmentation using graph cuts. Medical Imaging: Computer-Aided Diagnosis (2012)
Xingwei Wang, XiaoFei Song, Brian E. Chapman, Bin Zheng
Improving performance of computer-aided detection of pulmonary embolisms by incorporating a new pulmonary vascular-tree segmentation algorithm. Medical Imaging: Computer-Aided Diagnosis (2012)
Xingwei Wang, Lihua Li, Wei Liu, Weidong Xu, Dror Lederman, Bin Zheng
An Interactive System for Computer-Aided Diagnosis of Breast Masses. J. Digit. Imaging 25 (5) (2012)
Xingwei Wang, Lihua Li, Wei Liu, Weidong Xu, Dror Lederman, Bin Zheng
Improving CAD performance by fusion of the bilateral mammographic tissue asymmetry information. Medical Imaging: Computer-Aided Diagnosis (2012)
Erting Ke, Wei Liu, Weidong Xu, Lihua Li, Bin Zheng, Juan Zhang, Lingnan Zhang
Perceptual mass segmentation using eye-tracking and seed-growing. Medical Imaging: Computer-Aided Diagnosis (2012)
Pengfei Lu, Wei Liu, Weidong Xu, Lihua Li, Bin Zheng, Juan Zhang, Lingnan Zhang
Multi-instance learning for mass retrieval in digitized mammograms. Medical Imaging: Computer-Aided Diagnosis (2012)
Sang-Cheol Park, Brian E. Chapman, Bin Zheng
A Multistage Approach to Improve Performance of Computer-Aided Detection of Pulmonary Embolisms Depicted on CT Images: Preliminary Investigation. IEEE Trans. Biomed. Eng. 58 (6) (2011)
Dror Lederman, Bin Zheng, Xingwei Wang, Xiao Hui Wang, David Gur
Multi-probe-based resonance-frequency electrical impedance spectroscopy for detection of suspicious breast lesions: improving performance using partial ROC optimization. Medical Imaging: Computer-Aided Diagnosis (2011)
Xingwei Wang, Dror Lederman, Jun Tan, Xiao-Hui Wang, Bin Zheng
Computerized prediction of breast cancer risk: comparison between the global and local bilateral mammographic tissue asymmetry. Medical Imaging: Computer-Aided Diagnosis (2011)
Xiao-Hui Wang, Sang-Cheol Park, Bin Zheng
Assessment of Performance and Reliability of Computer-Aided Detection Scheme Using Content-Based Image Retrieval Approach and Limited Reference Database. J. Digit. Imaging 24 (2) (2011)
Xingwei Wang, Dror Lederman, Jun Tan, Bin Zheng
Computer-aided Detection: The Impact of Machine Learning Classifier and Image Feature Selection on Scheme Performance. Int. J. Intell. Inf. Process. 1 (1) (2010)
Xiao-Hui Wang, Sang Cheol Park, Jun Tan, Joseph K. Leader, Bin Zheng
Improving performance and reliability of interactive CAD schemes. Medical Imaging: Computer-Aided Diagnosis (2010)
Bin Zheng, Xiao-Hui Wang, Urvashi Surti, Rohit Bhargava, David Gur
Computer-aided detection of HER2 amplification status using FISH images: a preliminary study. Medical Imaging: Computer-Aided Diagnosis (2009)
Xingwei Wang, Bin Zheng, Shibo Li, John J. Mulvihill, Marc C. Wood, Hong Liu
Automated classification of metaphase chromosomes: Optimization of an adaptive computerized scheme. J. Biomed. Informatics 42 (1) (2009)
Jiantao Pu, Bin Zheng, Sang Cheol Park
A visualization system for CT based pulmonary fissure analysis. Medical Imaging: Image-Guided Procedures (2009)

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Publication Activity (10 Years)

Top Topics

Top Venues

Bin Zheng