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ORCIDBin Zheng 0001
Person information
- affiliation: University of Oklahoma, School of Electrical and Computer Engineering, Norman, OK, USA
- affiliation (1993 - 2013): University of Pittsburgh Medical Center, Department of Radiology, PA, USA
- affiliation (PhD 1993): University of Delaware, Department of Electrical Engineering, Newark, DE, USA
Other persons with the same name
- Bin Zheng — disambiguation page
- Bin Zheng 0002
![[0000-0002-3358-8328]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-3358-8328")
— Shandong University of Technology, School of Science, Zibo, China - Bin Zheng 0003 — University of Alberta, Department of Surgery, Edmonton, AB, Canada
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2020 – today
- 2023
[c90]Lin Guo, Kunlei Hong, Ziqi Zhang, Bin Zheng, Stefan Jaeger, Jordan D. Fuhrman, Hui Li, Maryellen L. Giger, Andrei Gabrielian, Alex Rosenthal, Darrell E. Hurt, Ziv Yaniv, Y. M. Fleming Lure:
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. Computer-Aided Diagnosis 2023- [c89]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. Computer-Aided Diagnosis 2023 - [c88]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. Image-Guided Procedures 2023 - [c87]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. Image Perception, Observer Performance, and Technology Assessment 2023 - [c86]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. Image Perception, Observer Performance, and Technology Assessment 2023 - 2022
- [j37]Yane Li, Wei Yuan, Ming Fan, Bin Zheng, Lihua Li:
Prediction of Short-Term Breast Cancer Risk with Fusion of CC- and MLO-Based Risk Models in Four-View Mammograms. J. Digit. Imaging 35(4): 910-922 (2022) - [j36]Xuxin Chen, Ximin Wang, Ke Zhang, Kar-Ming Fung, Theresa C. Thai, Kathleen N. 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: 102444 (2022) - [j35]Tianyu Shi, Huiyan Jiang, Bin Zheng:
C2MA-Net: Cross-Modal Cross-Attention Network for Acute Ischemic Stroke Lesion Segmentation Based on CT Perfusion Scans. IEEE Trans. Biomed. Eng. 69(1): 108-118 (2022) - [c85]Warid Islam, Gopichandh Danala, Huong Pham, Bin Zheng:
Improving the performance of computer-aided classification of breast lesions using a new feature fusion method. Computer-Aided Diagnosis 2022 - [c84]Meredith A. Jones, Huong Pham, Tiancheng Gai, Bin Zheng:
Fusion of handcrafted and deep transfer learning features to improve performance of breast lesion classification. Computer-Aided Diagnosis 2022 - [c83]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. Computer-Aided Diagnosis 2022 - [c82]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. Computer-Aided Diagnosis 2022 - [c81]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. Image Perception, Observer Performance, and Technology Assessment 2022 - [c80]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. Image Perception, Observer Performance, and Technology Assessment 2022 - [c79]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. Image Perception, Observer Performance, and Technology Assessment 2022 - [i7]Xuxin Chen, Ximin Wang, Ke Zhang, Kar-Ming Fung, Theresa C. Thai, Kathleen N. Moore, Robert S. Mannel, Hong Liu, Bin Zheng, Yuchen Qiu:
Virtual Adversarial Training for Semi-supervised Breast Mass Classification. CoRR abs/2201.10675 (2022) - [i6]Xuxin Chen, Ke Zhang, Neman Abdoli, Patrik W. Gilley, Ximin Wang, Hong Liu, Bin Zheng, Yuchen Qiu:
Transformers Improve Breast Cancer Diagnosis from Unregistered Multi-View Mammograms. CoRR abs/2206.10096 (2022) - 2021
- [j34]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: 105937 (2021) - [j33]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): 2764-2775 (2021) - [c78]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. Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - [c77]Gopichandh Danala, Masoom Desai, Maryum Shoukat, Ahmer Asif, Morteza Heidari, Bin Zheng:
Applying quantitative image markers to predict clinical measures after aneurysmal subarachnoid hemorrhage. Computer-Aided Diagnosis 2021 - [c76]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. Computer-Aided Diagnosis 2021 - [c75]Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala, Sivaramakrishnan Lakshmivarahan, Bin Zheng:
A novel feature reduction method to improve performance of machine learning model. Computer-Aided Diagnosis 2021 - [i5]Xuxin Chen, Ximin Wang, Ke Zhang, Roy Zhang, Kar-Ming Fung, Theresa C. Thai, Kathleen N. Moore, Robert S. Mannel, Hong Liu, Bin Zheng, Yuchen Qiu:
Recent advances and clinical applications of deep learning in medical image analysis. CoRR abs/2105.13381 (2021) - 2020
- [j32]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: 105678 (2020) - [j31]Xuxin Chen, Wei Liu, Theresa C. Thai, Tara Castellano, Camille C. Gunderson, Kathleen N. Moore, Robert S. Mannel, Hong Liu, Bin Zheng, Yuchen Qiu:
Developing a new radiomics-based CT image marker to detect lymph node metastasis among cervical cancer patients. Comput. Methods Programs Biomed. 197: 105759 (2020) - [j30]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: 104284 (2020) - [j29]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): 1235-1244 (2020) - [c74]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. Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 113171V - [i4]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 abs/2006.12229 (2020) - [i3]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 abs/2009.00675 (2020) - [i2]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 abs/2009.09937 (2020)
2010 – 2019
- 2019
- [j28]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): 237-248 (2019) - [j27]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) - [j26]Yane Li, Ming Fan, Shichen Liu, Bin Zheng, Lihua Li:
Prediction of Short-Term Breast Cancer Risk Based on Deep Convolutional Neural Networks in Mammography. J. Medical Imaging Health Informatics 9(8): 1663-1672 (2019) - [j25]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: 1-14 (2019) - [c73]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. Biomedical Applications in Molecular, Structural, and Functional Imaging 2019: 109530M - [c72]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. Biomedical Applications in Molecular, Structural, and Functional Imaging 2019: 1095304 - [c71]Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala, Wei Qian, Yuchen Qiu, Bin Zheng:
Association of computer-aided detection results and breast cancer risk. Computer-Aided Diagnosis 2019: 109500I - [c70]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. Computer-Aided Diagnosis 2019: 109502O - [c69]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. Image Perception, Observer Performance, and Technology Assessment 2019: 109520X - 2018
- [j24]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: 53-62 (2018) - [j23]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: 29-38 (2018) - [j22]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): 1117-1123 (2018) - [c68]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. Computer-Aided Diagnosis 2018: 105750P - [c67]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. Computer-Aided Diagnosis 2018: 105752O - [c66]Gopichandh Danala, Faranak Aghaei, Morteza Heidari, Teresa Wu, Bhavika Patel, Bin Zheng:
Computer-aided classification of breast masses using contrast-enhanced digital mammograms. Computer-Aided Diagnosis 2018: 105752K - [c65]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. Computer-Aided Diagnosis 2018: 105752L - [c64]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. Computer-Aided Diagnosis 2018: 105753N - [c63]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. Computer-Aided Diagnosis 2018: 105753F - [c62]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. Digital Pathology 2018: 1058116 - [i1]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 abs/1803.00663 (2018) - 2017
- [j21]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): 1819-1828 (2017) - [j20]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: 530-539 (2017) - [j19]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: 97-104 (2017) - [c61]Ali Zarafshani, Thomas Bach, Chris R. Chatwin, Liangzhong Xiang, Bin Zheng:
Current source enhancements in Electrical Impedance Spectroscopy (EIS) to cancel unwanted capacitive effects. Biomedical Applications in Molecular, Structural, and Functional Imaging 2017: 101371X - [c60]Kevin P. Gaffney, Faranak Aghaei, James Battiste, Bin Zheng:
Automated detection and quantification of residual brain tumor using an interactive computer-aided detection scheme. Computer-Aided Diagnosis 2017: 101342I - [c59]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. Computer-Aided Diagnosis 2017: 101343L - [c58]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. Computer-Aided Diagnosis 2017: 101343G - [c57]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. Computer-Aided Diagnosis 2017: 1013449 - 2016
- [j18]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: 52 (2016) - [j17]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): 1034-1043 (2016) - [j16]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): 316-325 (2016) - [c56]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: 385-391 - [c55]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: 392-399 - [c54]Wenqing Sun, Bin Zheng, Wei Qian:
Computer aided lung cancer diagnosis with deep learning algorithms. Computer-Aided Diagnosis 2016: 97850Z - [c53]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. Computer-Aided Diagnosis 2016: 97850R - [c52]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. Computer-Aided Diagnosis 2016: 97850U - [c51]Nastaran Emaminejad, Shiju Yan, Yunzhi Wang, Wei Qian, Yubao Guan, Bin Zheng:
Applying a radiomics approach to predict prognosis of lung cancer patients. Computer-Aided Diagnosis 2016: 97851E - [c50]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. Computer-Aided Diagnosis 2016: 97851V - [c49]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. Computer-Aided Diagnosis 2016: 97853D - [c48]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. Computer-Aided Diagnosis 2016: 978520 - [c47]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. Computer-Aided Diagnosis 2016: 978521 - [c46]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. Computer-Aided Diagnosis 2016: 978522 - 2015
- [j15]Ming Fan, Bin Zheng, Lihua Li:
A novel Multi-Agent Ada-Boost algorithm for predicting protein structural class with the information of protein secondary structure. J. Bioinform. Comput. Biol. 13(5): 1550022:1-1550022:17 (2015) - [c45]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: 6394-6397 - [c44]Sreeram Dhurjaty, Yuchen Qiu, Maxine Tan, Hong Liu, Bin Zheng:
A new application of electrical impedance spectroscopy for measuring glucose metabolism: a phantom study. Biomedical Applications in Molecular, Structural, and Functional Imaging 2015: 94172K - [c43]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. Computer-Aided Diagnosis 2015: 94141M - [c42]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. Computer-Aided Diagnosis 2015: 94143G - [c41]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. Computer-Aided Diagnosis 2015: 941416 - [c40]Rohith Reddy Gundreddy, Maxine Tan, Yuchen Qiu, Bin Zheng:
A new Fourier transform based CBIR scheme for mammographic mass classification: a preliminary invariance assessment. Computer-Aided Diagnosis 2015: 941420 - [c39]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. Computer-Aided Diagnosis 2015: 941422 - [c38]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. Computer-Aided Diagnosis 2015: 941424 - [c37]Faranak Aghaei, Maxine Tan, Bin Zheng:
Automated detection of breast tumor in MRI and comparison of kinetic features for assessing tumor response to chemotherapy. Computer-Aided Diagnosis 2015: 941429 - [c36]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. Digital Pathology 2015: 94200X - 2014
- [j14]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): 1005-1020 (2014) - [j13]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): 348-357 (2014) - [j12]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): 152-160 (2014) - [c35]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. Computer-Aided Diagnosis 2014: 90350T - [c34]Victor Pomponiu, Harishwaran Hariharan, Bin Zheng, David Gur:
Improving breast mass detection using histogram of oriented gradients. Computer-Aided Diagnosis 2014: 90351R - [c33]Maxine Tan, Jiantao Pu, Bin Zheng:
A new mass classification system derived from multiple features and a trained MLP model. Computer-Aided Diagnosis 2014: 90351P - [c32]Harishwaran Hariharan, Victor Pomponiu, Bin Zheng, Bruce R. Whiting, David Gur:
Fusion of digital breast tomosynthesis images via wavelet synthesis for improved lesion conspicuity. Image Processing 2014: 90342B - 2013
- [c31]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. Computer-Aided Diagnosis 2013: 86701F - 2012
- [j11]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): 570-579 (2012) - [c30]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. Computer-Aided Diagnosis 2012: 83152U - [c29]Xingwei Wang, Lihua Li, Wei Liu, Weidong Xu, Dror Lederman, Bin Zheng:
Improving CAD performance by fusion of the bilateral mammographic tissue asymmetry information. Computer-Aided Diagnosis 2012: 831508 - [c28]Erting Ke, Wei Liu, Weidong Xu, Lihua Li, Bin Zheng, Juan Zhang, Lingnan Zhang:
Perceptual mass segmentation using eye-tracking and seed-growing. Computer-Aided Diagnosis 2012: 831520 - [c27]Pengfei Lu, Wei Liu, Weidong Xu, Lihua Li, Bin Zheng, Juan Zhang, Lingnan Zhang:
Multi-instance learning for mass retrieval in digitized mammograms. Computer-Aided Diagnosis 2012: 831523 - [c26]Xiangying Wu, Weidong Xu, Lihua Li, Wei Liu, Bin Zheng:
A multi-scale approach to mass segmentation using graph cuts. Computer-Aided Diagnosis 2012: 831526 - 2011
- [j10]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): 352-359 (2011) - [j9]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): 1519-1527 (2011) - [c25]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. Computer-Aided Diagnosis 2011: 79631Z - [c24]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. Computer-Aided Diagnosis 2011: 79631L - 2010
- [j8]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): 30-40 (2010) - [c23]Xiao-Hui Wang, Sang Cheol Park, Jun Tan, Joseph K. Leader, Bin Zheng:
Improving performance and reliability of interactive CAD schemes. Computer-Aided Diagnosis 2010: 76242E
2000 – 2009
- 2009
- [j7]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): 22-31 (2009) - [j6]Jiantao Pu, Joseph K. Leader, Bin Zheng, Friedrich Knollmann, Carl Fuhrman, Frank C. Sciurba, David Gur:
A Computational Geometry Approach to Automated Pulmonary Fissure Segmentation in CT Examinations. IEEE Trans. Medical Imaging 28(5): 710-719 (2009) - [j5]Jiantao Pu, Bin Zheng, Joseph K. Leader, Carl Fuhrman, Friedrich Knollmann, Amy Klym, David Gur:
Pulmonary Lobe Segmentation in CT Examinations Using Implicit Surface Fitting. IEEE Trans. Medical Imaging 28(12): 1986-1996 (2009) - [c22]Bin Zheng, Xiao-Hui Wang, Urvashi Surti, Rohit Bhargava, David Gur:
Computer-aided detection of HER2 amplification status using FISH images: a preliminary study. Computer-Aided Diagnosis 2009: 726028 - [c21]Jiantao Pu, Bin Zheng, Sang Cheol Park:
A visualization system for CT based pulmonary fissure analysis. Image-Guided Procedures 2009: 726130 - [c20]Sang-Cheol Park, Won Pil Kim, Bin Zheng, Joseph K. Leader, Jiantao Pu, Jun Tan, David Gur:
Pulmonary airways tree segmentation from CT examinations using adaptive volume of interest. Image Processing 2009: 72593U - 2008
- [j4]Xingwei Wang, Bin Zheng, Shibo Li, John J. Mulvihill, Hong Liu:
A rule-based computer scheme for centromere identification and polarity assignment of metaphase chromosomes. Comput. Methods Programs Biomed. 89(1): 33-42 (2008) - [j3]Xingwei Wang, Shibo Li, Hong Liu, Marc C. Wood, Wei R. Chen, Bin Zheng:
Automated identification of analyzable metaphase chromosomes depicted on microscopic digital images. J. Biomed. Informatics 41(2): 264-271 (2008) - [j2]Xingwei Wang, Bin Zheng, Shibo Li, John J. Mulvihill, Hong Liu:
Development and assessment of an integrated computer-aided detection scheme for digital microscopic images of metaphase chromosomes. J. Electronic Imaging 17(4): 043008 (2008) - [c19]Sang Cheol Park, Bin Zheng, Xiao-Hui Wang, David Gur:
Applying a 2D based CAD scheme for detecting micro-calcification clusters using digital breast tomosynthesis images: an assessment. Computer-Aided Diagnosis 2008: 691507 - [c18]Bin Zheng, Jiantao Pu, Sang Cheol Park, Margarita L. Zuley, David Gur:
Assessment of the relationship between lesion segmentation accuracy and computer-aided diagnosis scheme performance. Computer-Aided Diagnosis 2008: 691530 - 2007
- [c17]Bin Zheng, Claudia Mello-Thoms, Xiao-Hui Wang, David Gur:
Improvement of Visual Similarity of Similar Breast Masses Selected by Computer-Aided Diagnosis Schemes. ISBI 2007: 516-519 - [c16]Bin Zheng, Gordon Abrams, Lara A. Hardesty, Sang Cheol Park, John M. Drescher, Glenn S. Maitz, David Gur:
Mass margins spiculations: agreement between ratings by observers and a computer scheme. Computer-Aided Diagnosis 2007: 65141P - 2006
- [c15]Bin Zheng, Glenn S. Maitz, Joseph K. Leader, David Gur:
Increasing sensitivity of masses cued on both views by CAD. Image Processing 2006: 61441Y - 2004
- [c14]Bin Zheng, Joseph Ken Leader, Carl R. Fuhrman, Frank C. Sciurba, David Gur:
Automated detection and classification of interstitial lung diseases from low-dose CT images. Image Processing 2004 - 2003
- [c13]Bin Zheng, 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:
A simple method for automated lung segmentation in x-ray CT images. Image Processing 2003 - [c12]Bin Zheng, Xiao Hui Wang, Luisa P. Wallace, Cathy Cohen, Lara A. Hardesty, Christiane M. Hakim, Gordon Abran, Jules H. Sumkin, David Gur:
Improving CAD performance in detecting masses depicted on prior images. Image Processing 2003 - 2002
- [c11]Bin Zheng, Xiao Hui Wang, Yuan-Hsiang Chang, Lara A. Hardesty, Marie A. Ganott, Walter F. Good, David Gur:
Change of region conspicuity in bilateral mammograms: potential impact on CAD performance. Image Processing 2002 - [c10]Yuan-Hsiang Chang, Xiao Hui Wang, Lara A. Hardesty, Christiane M. Hakim, Bin Zheng, Walter F. Good, David Gur:
Incorporation of negative regions in a knowledge-based computer-aided detection scheme. Image Processing 2002 - 2001
- [c9]Xiao Hui Wang, Bin Zheng, Yuan-Hsiang Chang, Walter F. Good:
Correction of digitized mammograms to enhance soft display and tissue composition measurement. Image-Guided Procedures 2001 - [c8]He Wang, Bin Zheng, Walter F. Good, Xiao Hui Wang:
Computerized analysis of lesions in 3D MR breast images. Image Processing 2001
1990 – 1999
- 1999
- [j1]Xiao-Hui Wang, Bin Zheng, Walter F. Good, Jill L. King, Yuan-Hsiang Chang:
Computer-assisted diagnosis of breast cancer using a data-driven Bayesian belief network. Int. J. Medical Informatics 54(2): 115-126 (1999) - [c7]Yuan-Hsiang Chang, Bin Zheng, Xiao-Hui Wang, Walter F. Good:
Computer-aided diagnosis of breast cancer using artificial neural networks: comparison of backpropagation and genetic algorithms. IJCNN 1999: 3674-3679 - [c6]Bin Zheng, Yuan-Hsiang Chang, Xiao-Hui Wang, Walter F. Good:
Comparison of artificial neural network and Bayesian belief network in a computer-assisted diagnosis scheme for mammography. IJCNN 1999: 4181-4185 - [c5]Walter F. Good, Bin Zheng, Yuan-Hsiang Chang, Xiao Hui Wang, Glenn S. Maitz, David Gur:
Multi-image CAD employing features derived from ipsilateral mammographic views. Image Processing 1999 - [c4]Walter F. Good, Bin Zheng, Yuan-Hsiang Chang, Xiao Hui Wang, Glenn S. Maitz:
Generalized procrustean image deformation for subtraction of mammograms. Image Processing 1999 - [c3]Xiao Hui Wang, Bin Zheng, Yuan-Hsiang Chang, Walter F. Good:
Optimizing the feature set for a Bayesian network for breast cancer diagnosis using genetic algorithm techniques. Image Processing 1999 - [c2]Bin Zheng, Yuan-Hsiang Chang, Xiao Hui Wang, Walter F. Good, David Gur:
Application of a Bayesian belief network in a computer-assisted diagnosis scheme for mass detection. Image Processing 1999 - 1998
- [c1]Bin Zheng, Yuan-Hsiang Chang, Walter F. Good, David Gur:
Assessment of mass detection using tissue background information as input to a computer-assisted diagnosis scheme. Image Processing 1998
Coauthor Index
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