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Bin 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
— Shandong University of Technology, School of Science, Zibo, China
- Bin Zheng 0003
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2020 – today
- 2023
- [c90]Lin Guo
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. Medical Imaging: Computer-Aided Diagnosis 2023 - [c89]Sanjana Mudduluru, Sai Kiran Reddy Maryada, William Booker, Dean F. Hougen
Improving medical image segmentation and classification using a novel joint deep learning model. Medical Imaging: 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. Medical Imaging: Image-Guided Procedures 2023 - [c87]Alireza Abdihamzehkolaei, Seyedehnafiseh Mirniaharikandehei, Angel Choquehuanca, Marco Aedo Lopez
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 - [c86]Lin Guo
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 - 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
Recent advances and clinical applications of deep learning in medical image analysis. Medical Image Anal. 79: 102444 (2022) - [j35]Tianyu Shi
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. Medical Imaging: 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. Medical Imaging: Computer-Aided Diagnosis 2022 - [c83]Sai Kiran Reddy Maryada, William Booker, Gopichandh Danala, Catherine An Ha, Sanjana Mudduluru, Dean F. Hougen
Applying a novel two-stage deep-learning model to improve accuracy in detecting retinal fundus images. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: 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
Transformers Improve Breast Cancer Diagnosis from Unregistered Multi-View Mammograms. CoRR abs/2206.10096 (2022) - 2021
- [j34]Seyedehnafiseh Mirniaharikandehei
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
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
An interactive computer-aided detection software tool for quantitative estimation of intracerebral hemorrhage. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - [c77]Gopichandh Danala
Applying quantitative image markers to predict clinical measures after aneurysmal subarachnoid hemorrhage. Medical Imaging: Computer-Aided Diagnosis 2021 - [c76]Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, Gopichandh Danala
Detecting COVID-19 infected pneumonia from x-ray images using a deep learning model with image preprocessing algorithm. Medical Imaging: Computer-Aided Diagnosis 2021 - [c75]Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala
A novel feature reduction method to improve performance of machine learning model. Medical Imaging: 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
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
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
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
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
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: 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
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
Developing global image feature analysis models to predict cancer risk and prognosis. Vis. Comput. Ind. Biomed. Art 2: 1-14 (2019) - [c73]Gopichandh Danala
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: 109530M - [c72]Ali Zarafshani, Yunzhi Wang, Seyedeh-Nafiseh Mirniaharikandehei, Morteza Heidari
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: 1095304 - [c71]Seyedehnafiseh Mirniaharikandehei, Morteza Heidari
Association of computer-aided detection results and breast cancer risk. Medical Imaging: 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. Medical Imaging: Computer-Aided Diagnosis 2019: 109502O - [c69]Morteza Heidari
Assessment of a quantitative mammographic imaging marker for breast cancer risk prediction. Medical Imaging: 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
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
Improving performance of breast cancer risk prediction using a new CAD-based region segmentation scheme. Medical Imaging: Computer-Aided Diagnosis 2018: 105750P - [c67]Faranak Aghaei, Gopichandh Danala
Association between mammogram density and background parenchymal enhancement of breast MRI. Medical Imaging: Computer-Aided Diagnosis 2018: 105752O - [c66]Gopichandh Danala
Computer-aided classification of breast masses using contrast-enhanced digital mammograms. Medical Imaging: Computer-Aided Diagnosis 2018: 105752K - [c65]Abolfazl Zargari Khuzani, Gopichandh Danala
Applying a new unequally weighted feature fusion method to improve CAD performance of classifying breast lesions. Medical Imaging: Computer-Aided Diagnosis 2018: 105752L - [c64]Faranak Aghaei, Gopichandh Danala
Applying a new mammographic imaging marker to predict breast cancer risk. Medical Imaging: Computer-Aided Diagnosis 2018: 105753N - [c63]Seyedehnafiseh Mirniaharikandehei, Ali Zarafshani, Morteza Heidari
Applying a CAD-generated imaging marker to assess short-term breast cancer risk. Medical Imaging: 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. Medical Imaging: 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
Current source enhancements in Electrical Impedance Spectroscopy (EIS) to cancel unwanted capacitive effects. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: Computer-Aided Diagnosis 2017: 101343G - [c57]Gopichandh Danala
Apply radiomics approach for early stage prognostic evaluation of ovarian cancer patients: a preliminary study. Medical Imaging: 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
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. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: Computer-Aided Diagnosis 2016: 97850U - [c51]Nastaran Emaminejad
Applying a radiomics approach to predict prognosis of lung cancer patients. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: 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
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. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2015: 94172K - [c43]Nastaran Emaminejad
Exploring new quantitative CT image features to improve assessment of lung cancer prognosis. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: 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
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
Using undiagnosed data to enhance computerized breast cancer analysis with a three stage data labeling method. Medical Imaging: Computer-Aided Diagnosis 2014: 90350T - [c34]Victor Pomponiu, Harishwaran Hariharan, Bin Zheng, David Gur:
Improving breast mass detection using histogram of oriented gradients. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: Computer-Aided Diagnosis 2010: 76242E
2000 – 2009
- 2009
- [j7]Xingwei Wang, Bin Zheng
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
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
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. Medical Imaging: Computer-Aided Diagnosis 2009: 726028 - [c21]Jiantao Pu, Bin Zheng, Sang Cheol Park:
A visualization system for CT based pulmonary fissure analysis. Medical Imaging: 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. Medical Imaging: Image Processing 2009: 72593U - 2008
- [j4]Xingwei Wang, Bin Zheng
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
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. Medical Imaging: 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. Medical Imaging: Computer-Aided Diagnosis 2008: 691530 - 2007
- [c17]Bin Zheng, Claudia Mello-Thoms
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. Medical Imaging: 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. Medical Imaging: Image Processing 2006: 61441Y - 2004
- [c14]Bin Zheng, Joseph Ken Leader, Carl R. Fuhrman, Frank C. Sciurba
Automated detection and classification of interstitial lung diseases from low-dose CT images. Medical Imaging: 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
A simple method for automated lung segmentation in x-ray CT images. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: Image-Guided Procedures 2001 - [c8]He Wang, Bin Zheng, Walter F. Good, Xiao Hui Wang:
Computerized analysis of lesions in 3D MR breast images. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: Image Processing 1998
Coauthor Index
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