Bin Zheng

135 papers B 16Journal 45Unranked 74
YearRankTypeTitle / Venue / Authors
2025 J jnl
Utilizing Pseudo Color Image to Improve the Performance of Deep Transfer Learning-Based Computer-Aided Diagnosis Schemes in Breast Mass Classification.
J. Imaging Inform. Medicine
Meredith A. Jones, Ke Zhang, Rowzat Faiz, Warid Islam, Javier A. Jo, Bin Zheng, Yuchen Qiu
2023 — conf
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
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
2023 — conf
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
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
2023 — conf
Deep learning-based rectum segmentation on low-field prostate MRI to assist image-guided biopsy.
Image-Guided Procedures
Huong Pham, Dang Bich Thuy Le, Meredith Sadinski, Ram Narayanan, Aleksandar Nacev, Bin Zheng
2023 — conf
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
Lin Guo, Kunlei Hong, Qian Xiao, Lingjun Qian, Stefan Jaeger, Bin Zheng, Shenwen Quan, Li Xia, Guanxun Cheng, Y. M. Fleming Lure
2023 — conf
Improving medical image segmentation and classification using a novel joint deep learning model.
Computer-Aided Diagnosis
Sanjana Mudduluru, Sai Kiran Reddy Maryada, William Booker, Dean F. Hougen, Bin Zheng
2022 — conf
Applying a novel two-stage deep-learning model to improve accuracy in detecting retinal fundus images.
Computer-Aided Diagnosis
Sai Kiran Reddy Maryada, William Booker, Gopichandh Danala, Catherine An Ha, Sanjana Mudduluru, Dean F. Hougen, Bin Zheng
2022 — conf
Assessment of a new CAD-generated imaging marker to predict risk of having mammography-occult tumors.
Image Perception, Observer Performance, and Technology Assessment
Seyedehnafiseh Mirniaharikandehei, Alan B. Hollingsworth, Meredith A. Jones, Hong Liu, Yuchen Qiu, Bin Zheng
2022 J jnl
C
IEEE Trans. Biomed. Eng.
Tianyu Shi, Huiyan Jiang, Bin Zheng
2022 — conf
Comparison of performance in breast lesions classification using radiomics and deep transfer learning: an assessment study.
Image Perception, Observer Performance, and Technology Assessment
Gopichandh Danala, Sai Kiran Reddy Maryada, Huong Pham, Warid Islam, Meredith A. Jones, Bin Zheng
2022 — conf
Developing interactive computer-aided detection tools to support translational clinical research.
Image Perception, Observer Performance, and Technology Assessment
Gopichandh Danala, Seyedehnafiseh Mirniaharikandehei, Meredith A. Jones, Tiancheng Gai, Sai Kiran Reddy Maryada, Dee Wu, Yuchen Qiu, Bin Zheng
2022 — conf
Fusion of handcrafted and deep transfer learning features to improve performance of breast lesion classification.
Computer-Aided Diagnosis
Meredith A. Jones, Huong Pham, Tiancheng Gai, Bin Zheng
2022 — conf
Identifying an optimal machine learning generated image marker to predict survival of gastric cancer patients.
Computer-Aided Diagnosis
Huong Pham, Meredith A. Jones, Tiancheng Gai, Warid Islam, Gopichandh Danala, Javier A. Jo, Bin Zheng
2022 — conf
Improving the performance of computer-aided classification of breast lesions using a new feature fusion method.
Computer-Aided Diagnosis
Warid Islam, Gopichandh Danala, Huong Pham, Bin Zheng
2022 J jnl
Prediction of Short-Term Breast Cancer Risk with Fusion of CC- and MLO-Based Risk Models in Four-View Mammograms.
J. Digit. Imaging
Yane Li, Wei Yuan, Ming Fan, Bin Zheng, Lihua Li
2022 J jnl
Recent advances and clinical applications of deep learning in medical image analysis.
Medical Image Anal.
Xuxin Chen, Ximin Wang, Ke Zhang, Kar-Ming Fung, Theresa C. Thai, Kathleen N. Moore, Robert S. Mannel, Hong Liu, Bin Zheng, Yuchen Qiu
2022 J jnl
Transformers Improve Breast Cancer Diagnosis from Unregistered Multi-View Mammograms.
CoRR
Xuxin Chen, Ke Zhang, Neman Abdoli, Patrik W. Gilley, Ximin Wang, Hong Liu, Bin Zheng, Yuchen Qiu
2022 J jnl
Virtual Adversarial Training for Semi-supervised Breast Mass Classification.
CoRR
Xuxin Chen, Ximin Wang, Ke Zhang, Kar-Ming Fung, Theresa C. Thai, Kathleen N. Moore, Robert S. Mannel, Hong Liu, Bin Zheng, Yuchen Qiu
2021 — conf
A novel feature reduction method to improve performance of machine learning model.
Computer-Aided Diagnosis
Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala, Sivaramakrishnan Lakshmivarahan, Bin Zheng
2021 — conf
An interactive computer-aided detection software tool for quantitative estimation of intracerebral hemorrhage.
Biomedical Applications in Molecular, Structural, and Functional Imaging
Gopichandh Danala, Masoom Desai, Sama Astani, Bahram Rabbani, Jorge G. Ortiz-Garcia, Bin Zheng
2021 J jnl
Applying a Random Projection Algorithm to Optimize Machine Learning Model for Breast Lesion Classification.
IEEE Trans. Biomed. Eng.
Morteza Heidari, Sivaramakrishnan Lakshmivarahan, Seyedehnafiseh Mirniaharikandehei, Gopichandh Danala, Sai Kiran Reddy Maryada, Hong Liu, Bin Zheng
2021 J jnl
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.
Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala, Sivaramakrishnan Lakshmivarahan, Bin Zheng
2021 — conf
Applying quantitative image markers to predict clinical measures after aneurysmal subarachnoid hemorrhage.
Computer-Aided Diagnosis
Gopichandh Danala, Masoom Desai, Maryum Shoukat, Ahmer Asif, Morteza Heidari, Bin Zheng
2021 — conf
Detecting COVID-19 infected pneumonia from x-ray images using a deep learning model with image preprocessing algorithm.
Computer-Aided Diagnosis
Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, Gopichandh Danala, Yuchen Qiu, Bin Zheng
2021 J jnl
Recent advances and clinical applications of deep learning in medical image analysis.
CoRR
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
2020 J jnl
A Stacked Generalization U-shape network based on zoom strategy and its application in biomedical image segmentation.
Comput. Methods Programs Biomed.
Tianyu Shi, Huiyan Jiang, Bin Zheng
2020 — conf
A new interactive visual-aided decision-making supporting tool to predict severity of acute ischemic stroke.
Biomedical Applications in Molecular, Structural, and Functional Imaging
Gopichandh Danala, Sai Kiran Reddy Maryada, Morteza Heidari, Bappaditya Ray, Masoom Desai, Bin Zheng
2020 J jnl
Applying a random projection algorithm to optimize machine learning model for breast lesion classification.
CoRR
Morteza Heidari, Sivaramakrishnan Lakshmivarahan, Seyedehnafiseh Mirniaharikandehei, Gopichandh Danala, Sai Kiran Reddy Maryada, Hong Liu, Bin Zheng
2020 J jnl
Applying a random projection algorithm to optimize machine learning model for predicting peritoneal metastasis in gastric cancer patients using CT images.
CoRR
Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala, Sivaramakrishnan Lakshmivarahan, Bin Zheng
2020 J jnl
Developing a new radiomics-based CT image marker to detect lymph node metastasis among cervical cancer patients.
Comput. Methods Programs Biomed.
Xuxin Chen, Wei Liu, Theresa C. Thai, Tara Castellano, Camille C. Gunderson, Kathleen N. Moore, Robert S. Mannel, Hong Liu, Bin Zheng, Yuchen Qiu
2020 J jnl
Development and Assessment of a New Global Mammographic Image Feature Analysis Scheme to Predict Likelihood of Malignant Cases.
IEEE Trans. Medical Imaging
Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Wei Liu, Alan B. Hollingsworth, Hong Liu, Bin Zheng
2020 J jnl
Improving performance of CNN to predict likelihood of COVID-19 using chest X-ray images with preprocessing algorithms.
CoRR
Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, Gopichandh Danala, Yuchen Qiu, Bin Zheng
2020 J jnl
Improving the performance of CNN to predict the likelihood of COVID-19 using chest X-ray images with preprocessing algorithms.
Int. J. Medical Informatics
Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, Gopichandh Danala, Yuchen Qiu, Bin Zheng
2019 J jnl
A robust method for segmenting pectoral muscle in mediolateral oblique (MLO) mammograms.
Int. J. Comput. Assist. Radiol. Surg.
Kaiming Yin, Shiju Yan, Chengli Song, Bin Zheng
2019 J jnl
Applying a new quantitative image analysis scheme based on global mammographic features to assist diagnosis of breast cancer.
Comput. Methods Programs Biomed.
Xuxin Chen, Abolfazl Zargari, Alan B. Hollingsworth, Hong Liu, Bin Zheng, Yuchen Qiu
2019 — conf
Assessment of a quantitative mammographic imaging marker for breast cancer risk prediction.
Image Perception, Observer Performance, and Technology Assessment
Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, Wei Qian, Yuchen Qiu, Bin Zheng
2019 — conf
Association of computer-aided detection results and breast cancer risk.
Computer-Aided Diagnosis
Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala, Wei Qian, Yuchen Qiu, Bin Zheng
2019 — conf
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
Ali Zarafshani, Yunzhi Wang, Seyedeh-Nafiseh Mirniaharikandehei, Morteza Heidari, Faranak Aghaei, Siqi Wang, Liangzhong Xiang, Bin Zheng
2019 — conf
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
Gopichandh Danala, Morteza Heidari, Faranak Aghaei, Bappaditya Ray, Bin Zheng
2019 — conf
Developing a new quantitative imaging marker to predict pathological complete response to neoadjuvant chemotherapy.
Computer-Aided Diagnosis
Faranak Aghaei, Alan B. Hollingsworth, Seyedehnafiseh Mirniaharikandehei, Yunzhi Wang, Hong Liu, Bin Zheng
2019 J jnl
Developing global image feature analysis models to predict cancer risk and prognosis.
Vis. Comput. Ind. Biomed. Art
Bin Zheng, Yuchen Qiu, Faranak Aghaei, Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala
2019 J jnl
Prediction of Short-Term Breast Cancer Risk Based on Deep Convolutional Neural Networks in Mammography.
J. Medical Imaging Health Informatics
Yane Li, Ming Fan, Shichen Liu, Bin Zheng, Lihua Li
2018 J jnl
A new near-term breast cancer risk prediction scheme based on the quantitative analysis of ipsilateral view mammograms.
Comput. Methods Programs Biomed.
Wenqing Sun, Tzu-Liang (Bill) Tseng, Wei Qian, Edward C. Saltzstein, Bin Zheng, Hui Yu, Shi Zhou
2018 — conf
A performance comparison of low- and high-level features learned by deep convolutional neural networks in epithelium and stroma classification.
Digital Pathology
Yue Du, Roy Zhang, Abolfazl Zargari, Theresa C. Thai, Camille C. Gunderson, Katherine M. Moxley, Hong Liu, Bin Zheng, Yuchen Qiu
2018 — conf
Applying a CAD-generated imaging marker to assess short-term breast cancer risk.
Computer-Aided Diagnosis
Seyedehnafiseh Mirniaharikandehei, Ali Zarafshani, Morteza Heidari, Yunzhi Wang, Faranak Aghaei, Bin Zheng
2018 — conf
Applying a new mammographic imaging marker to predict breast cancer risk.
Computer-Aided Diagnosis
Faranak Aghaei, Gopichandh Danala, Alan B. Hollingsworth, Rebecca G. Stough, Melanie Pearce, Hong Liu, Bin Zheng
2018 — conf
Applying a new unequally weighted feature fusion method to improve CAD performance of classifying breast lesions.
Computer-Aided Diagnosis
Abolfazl Zargari Khuzani, Gopichandh Danala, Morteza Heidari, Yue Du, Najmeh Mashhadi, Yuchen Qiu, Bin Zheng
2018 — conf
Association between mammogram density and background parenchymal enhancement of breast MRI.
Computer-Aided Diagnosis
Faranak Aghaei, Gopichandh Danala, Yunzhi Wang, Ali Zarafshani, Wei Qian, Hong Liu, Bin Zheng
2018 — conf
Computer-aided classification of breast masses using contrast-enhanced digital mammograms.
Computer-Aided Diagnosis
Gopichandh Danala, Faranak Aghaei, Morteza Heidari, Teresa Wu, Bhavika Patel, Bin Zheng
2018 — conf
Improving performance of breast cancer risk prediction using a new CAD-based region segmentation scheme.
Computer-Aided Diagnosis
Morteza Heidari, Abolfazl Zargari Khuzani, Gopichandh Danala, Yuchen Qiu, Bin Zheng
2018 J jnl
SD-CNN: A shallow-deep CNN for improved breast cancer diagnosis.
Comput. Medical Imaging Graph.
Fei Gao, Teresa Wu, Jing Li, Bin Zheng, Lingxiang Ruan, Desheng Shang, Bhavika Patel
2018 J jnl
SD-CNN: a Shallow-Deep CNN for Improved Breast Cancer Diagnosis.
CoRR
Fei Gao, Teresa Wu, Jing Li, Bin Zheng, Lingxiang Ruan, Desheng Shang, Bhavika Patel
2018 J jnl
Using Microbubble as Contrast Agent for High-Energy X-Ray In-line Phase Contrast Imaging: Demonstration and Comparison Study.
IEEE Trans. Biomed. Eng.
Di Wu, Molly Donovan Wong, Kai Yang, Aimin Yan, Yuhua Li, Laurie Lee Fajardo, Bin Zheng, Xizeng Wu, Hong Liu
2017 J jnl
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.
Yunzhi Wang, Yuchen Qiu, Theresa C. Thai, Kathleen N. Moore, Hong Liu, Bin Zheng
2017 — conf
Apply radiomics approach for early stage prognostic evaluation of ovarian cancer patients: a preliminary study.
Computer-Aided Diagnosis
Gopichandh Danala, Yunzhi Wang, Theresa C. Thai, Camille Gunderson, Katherine Moxley, Kathleen N. Moore, Robert S. Mannel, Hong Liu, Bin Zheng, Yuchen Qiu
2017 — conf
Applying a deep learning based CAD scheme to segment and quantify visceral and subcutaneous fat areas from CT images.
Computer-Aided Diagnosis
Yunzhi Wang, Yuchen Qiu, Theresa C. Thai, Kathleen N. Moore, Hong Liu, Bin Zheng
2017 J jnl
Applying a new bilateral mammographic density segmentation method to improve accuracy of breast cancer risk prediction.
Int. J. Comput. Assist. Radiol. Surg.
Shiju Yan, Yunzhi Wang, Faranak Aghaei, Yuchen Qiu, Bin Zheng
2017 — conf
Automated detection and quantification of residual brain tumor using an interactive computer-aided detection scheme.
Computer-Aided Diagnosis
Kevin P. Gaffney, Faranak Aghaei, James Battiste, Bin Zheng
2017 J jnl
Automatic feature learning using multichannel ROI based on deep structured algorithms for computerized lung cancer diagnosis.
Comput. Biol. Medicine
Wenqing Sun, Bin Zheng, Wei Qian
2017 — conf
Balance the nodule shape and surroundings: a new multichannel image based convolutional neural network scheme on lung nodule diagnosis.
Computer-Aided Diagnosis
Wenqing Sun, Bin Zheng, Xia Huang, Wei Qian
2017 — conf
Current source enhancements in Electrical Impedance Spectroscopy (EIS) to cancel unwanted capacitive effects.
Biomedical Applications in Molecular, Structural, and Functional Imaging
Ali Zarafshani, Thomas Bach, Chris R. Chatwin, Liangzhong Xiang, Bin Zheng
2016 — conf
A B-spline image registration based CAD scheme to evaluate drug treatment response of ovarian cancer patients.
Computer-Aided Diagnosis
Maxine Tan, Zheng Li, Kathleen N. Moore, Theresa C. Thai, Kai Ding, Hong Liu, Bin Zheng
2016 J jnl
A New Approach to Evaluate Drug Treatment Response of Ovarian Cancer Patients Based on Deformable Image Registration.
IEEE Trans. Medical Imaging
Maxine Tan, Zheng Li, Yuchen Qiu, Scott D. McMeekin, Theresa C. Thai, Kai Ding, Kathleen N. Moore, Hong Liu, Bin Zheng
2016 — conf
A Novel Breast Cancer Risk Assessment Scheme Design Using Dual View Mammograms.
Digital Mammography / IWDM
Wenqing Sun, Tzu-Liang (Bill) Tseng, Bin Zheng, Jiangying Zhang, Wei Qian
2016 — conf
A Preliminary Study on Breast Cancer Risk Analysis Using Deep Neural Network.
Digital Mammography / IWDM
Wenqing Sun, Tzu-Liang (Bill) Tseng, Bin Zheng, Wei Qian
2016 — conf
An initial investigation on developing a new method to predict short-term breast cancer risk based on deep learning technology.
Computer-Aided Diagnosis
Yuchen Qiu, Yunzhi Wang, Shiju Yan, Maxine Tan, Samuel Cheng, Hong Liu, Bin Zheng
2016 J jnl
Applying a computer-aided scheme to detect a new radiographic image marker for prediction of chemotherapy outcome.
BMC Medical Imaging
Yunzhi Wang, Yuchen Qiu, Theresa C. Thai, Kathleen N. Moore, Hong Liu, Bin Zheng
2016 — conf
Applying a radiomics approach to predict prognosis of lung cancer patients.
Computer-Aided Diagnosis
Nastaran Emaminejad, Shiju Yan, Yunzhi Wang, Wei Qian, Yubao Guan, Bin Zheng
2016 — conf
Applying quantitative adiposity feature analysis models to predict benefit of bevacizumab-based chemotherapy in ovarian cancer patients.
Computer-Aided Diagnosis
Yunzhi Wang, Yuchen Qiu, Theresa C. Thai, Kathleen N. Moore, Kai Ding, Hong Liu, Bin Zheng
2016 — conf
Computer aided lung cancer diagnosis with deep learning algorithms.
Computer-Aided Diagnosis
Wenqing Sun, Bin Zheng, Wei Qian
2016 — conf
Computer-aided classification of mammographic masses using the deep learning technology: a preliminary study.
Computer-Aided Diagnosis
Yuchen Qiu, Shiju Yan, Maxine Tan, Samuel Cheng, Hong Liu, Bin Zheng
2016 — conf
Computer-aided global breast MR image feature analysis for prediction of tumor response to chemotherapy: performance assessment.
Computer-Aided Diagnosis
Faranak Aghaei, Maxine Tan, Alan B. Hollingsworth, Bin Zheng, Samuel Cheng
2016 J jnl
Fusion of Quantitative Image and Genomic Biomarkers to Improve Prognosis Assessment of Early Stage Lung Cancer Patients.
IEEE Trans. Biomed. Eng.
Nastaran Emaminejad, Wei Qian, Yubao Guan, Maxine Tan, Yuchen Qiu, Hong Liu, Bin Zheng
2016 — conf
Improving the performance of lesion-based computer-aided detection schemes of breast masses using a case-based adaptive cueing method.
Computer-Aided Diagnosis
Maxine Tan, Faranak Aghaei, Yunzhi Wang, Wei Qian, Bin Zheng
2016 — conf
Increasing cancer detection yield of breast MRI using a new CAD scheme of mammograms.
Computer-Aided Diagnosis
Maxine Tan, Faranak Aghaei, Alan B. Hollingsworth, Rebecca G. Stough, Hong Liu, Bin Zheng
2015 — conf
A new CAD approach for improving efficacy of cancer screening.
Computer-Aided Diagnosis
Bin Zheng, Wei Qian, Lihua Li, Jiantao Pu, Yan Kang, Fleming Lure, Maxine Tan, Yuchen Qiu
2015 — conf
A new Fourier transform based CBIR scheme for mammographic mass classification: a preliminary invariance assessment.
Computer-Aided Diagnosis
Rohith Reddy Gundreddy, Maxine Tan, Yuchen Qiu, Bin Zheng
2015 — conf
A new application of electrical impedance spectroscopy for measuring glucose metabolism: a phantom study.
Biomedical Applications in Molecular, Structural, and Functional Imaging
Sreeram Dhurjaty, Yuchen Qiu, Maxine Tan, Hong Liu, Bin Zheng
2015 — conf
A new breast cancer risk analysis approach using features extracted from multiple sub-regions on bilateral mammograms.
Computer-Aided Diagnosis
Wenqing Sun, Tzu-Liang Bill Tseng, Bin Zheng, Jianying Zhang, Wei Qian
2015 — conf
A new computer-aided detection scheme based on assessment of local bilateral mammographic feature asymmetry - a preliminary evaluation.
EMBC
Adam Kelder, Yaniv Zigel, Dror Lederman, Bin Zheng
2015 J jnl
A novel Multi-Agent Ada-Boost algorithm for predicting protein structural class with the information of protein secondary structure.
J. Bioinform. Comput. Biol.
Ming Fan, Bin Zheng, Lihua Li
2015 — conf
An automated approach to improve efficacy in detecting residual malignant cancer cell for facilitating prognostic assessment of leukemia: an initial study.
Digital Pathology
Yuchen Qiu, Xianglan Lu, Maxine Tan, Shibo Li, Hong Liu, Bin Zheng
2015 — conf
Association of mammographic image feature change and an increasing risk trend of developing breast cancer: an assessment.
Computer-Aided Diagnosis
Maxine Tan, Joseph K. Leader, Hong Liu, Bin Zheng
2015 — conf
Automated detection of breast tumor in MRI and comparison of kinetic features for assessing tumor response to chemotherapy.
Computer-Aided Diagnosis
Faranak Aghaei, Maxine Tan, Bin Zheng
2015 — conf
Evaluation of chemotherapy response in ovarian cancer treatment using quantitative CT image biomarkers: a preliminary study.
Computer-Aided Diagnosis
Yuchen Qiu, Maxine Tan, Scott D. McMeekin, Theresa C. Thai, Kathleen N. Moore, Kai Ding, Hong Liu, Bin Zheng
2015 — conf
Exploring new quantitative CT image features to improve assessment of lung cancer prognosis.
Computer-Aided Diagnosis
Nastaran Emaminejad, Wei Qian, Yan Kang, Yubao Guan, Fleming Lure, Bin Zheng
2014 — conf
A new mass classification system derived from multiple features and a trained MLP model.
Computer-Aided Diagnosis
Maxine Tan, Jiantao Pu, Bin Zheng
2014 J jnl
Computer-Aided Diagnosis of Breast DCE-MRI Images Using Bilateral Asymmetry of Contrast Enhancement Between Two Breasts.
J. Digit. Imaging
Qian Yang, Lihua Li, Juan Zhang, Guoliang Shao, Chengjie Zhang, Bin Zheng
2014 B conf
Fusion of digital breast tomosynthesis images via wavelet synthesis for improved lesion conspicuity.
Image Processing
Harishwaran Hariharan, Victor Pomponiu, Bin Zheng, Bruce R. Whiting, David Gur
2014 — conf
Improving breast mass detection using histogram of oriented gradients.
Computer-Aided Diagnosis
Victor Pomponiu, Harishwaran Hariharan, Bin Zheng, David Gur
2014 J jnl
Optimization of breast mass classification using sequential forward floating selection (SFFS) and a support vector machine (SVM) model.
Int. J. Comput. Assist. Radiol. Surg.
Maxine Tan, Jiantao Pu, Bin Zheng
2014 J jnl
Prediction of near-term risk of developing breast cancer using computerized features from bilateral mammograms.
Comput. Medical Imaging Graph.
Wenqing Sun, Bin Zheng, Fleming Lure, Teresa Wu, Jianying Zhang, Benjamin Y. Wang, Edward C. Saltzstein, Wei Qian
2014 — conf
Using undiagnosed data to enhance computerized breast cancer analysis with a three stage data labeling method.
Computer-Aided Diagnosis
Wenqing Sun, Tzu-Liang Tseng, Bin Zheng, Fleming Lure, Teresa Wu, Giulio Francia, Sergio Cabrera, Jianying Zhang, Miguel Vélez-Reyes, Wei Qian
2013 — conf
Association between bilateral asymmetry of kinetic features computed from the DCE-MRI images and breast cancer.
Computer-Aided Diagnosis
Qian Yang, Lihua Li, Juan Zhang, Chengjie Zhang, Bin Zheng
2012 — conf
A multi-scale approach to mass segmentation using graph cuts.
Computer-Aided Diagnosis
Xiangying Wu, Weidong Xu, Lihua Li, Wei Liu, Bin Zheng
2012 J jnl
An Interactive System for Computer-Aided Diagnosis of Breast Masses.
J. Digit. Imaging
Xingwei Wang, Lihua Li, Wei Liu, Weidong Xu, Dror Lederman, Bin Zheng
2012 — conf
Improving CAD performance by fusion of the bilateral mammographic tissue asymmetry information.
Computer-Aided Diagnosis
Xingwei Wang, Lihua Li, Wei Liu, Weidong Xu, Dror Lederman, Bin Zheng
2012 — conf
Improving performance of computer-aided detection of pulmonary embolisms by incorporating a new pulmonary vascular-tree segmentation algorithm.
Computer-Aided Diagnosis
Xingwei Wang, Xiaofei Song, Brian E. Chapman, Bin Zheng
2012 — conf
Multi-instance learning for mass retrieval in digitized mammograms.
Computer-Aided Diagnosis
Pengfei Lu, Wei Liu, Weidong Xu, Lihua Li, Bin Zheng, Juan Zhang, Lingnan Zhang
2012 — conf
Perceptual mass segmentation using eye-tracking and seed-growing.
Computer-Aided Diagnosis
Erting Ke, Wei Liu, Weidong Xu, Lihua Li, Bin Zheng, Juan Zhang, Lingnan Zhang
2011 J jnl
A Multistage Approach to Improve Performance of Computer-Aided Detection of Pulmonary Embolisms Depicted on CT Images: Preliminary Investigation.
IEEE Trans. Biomed. Eng.
Sang-Cheol Park, Brian E. Chapman, Bin Zheng
2011 J jnl
Assessment of Performance and Reliability of Computer-Aided Detection Scheme Using Content-Based Image Retrieval Approach and Limited Reference Database.
J. Digit. Imaging
Xiao-Hui Wang, Sang-Cheol Park, Bin Zheng
2011 — conf
Computerized prediction of breast cancer risk: comparison between the global and local bilateral mammographic tissue asymmetry.
Computer-Aided Diagnosis
Xingwei Wang, Dror Lederman, Jun Tan, Xiao-Hui Wang, Bin Zheng
2011 — conf
Multi-probe-based resonance-frequency electrical impedance spectroscopy for detection of suspicious breast lesions: improving performance using partial ROC optimization.
Computer-Aided Diagnosis
Dror Lederman, Bin Zheng, Xingwei Wang, Xiao Hui Wang, David Gur
2010 J jnl
Computer-aided Detection: The Impact of Machine Learning Classifier and Image Feature Selection on Scheme Performance.
Int. J. Intell. Inf. Process.
Xingwei Wang, Dror Lederman, Jun Tan, Bin Zheng
2010 — conf
Improving performance and reliability of interactive CAD schemes.
Computer-Aided Diagnosis
Xiao-Hui Wang, Sang Cheol Park, Jun Tan, Joseph K. Leader, Bin Zheng
2009 J jnl
A Computational Geometry Approach to Automated Pulmonary Fissure Segmentation in CT Examinations.
IEEE Trans. Medical Imaging
Jiantao Pu, Joseph K. Leader, Bin Zheng, Friedrich Knollmann, Carl Fuhrman, Frank C. Sciurba, David Gur
2009 — conf
A visualization system for CT based pulmonary fissure analysis.
Image-Guided Procedures
Jiantao Pu, Bin Zheng, Sang Cheol Park
2009 J jnl
Automated classification of metaphase chromosomes: Optimization of an adaptive computerized scheme.
J. Biomed. Informatics
Xingwei Wang, Bin Zheng, Shibo Li, John J. Mulvihill, Marc C. Wood, Hong Liu
2009 — conf
Computer-aided detection of HER2 amplification status using FISH images: a preliminary study.
Computer-Aided Diagnosis
Bin Zheng, Xiao-Hui Wang, Urvashi Surti, Rohit Bhargava, David Gur
2009 J jnl
Pulmonary Lobe Segmentation in CT Examinations Using Implicit Surface Fitting.
IEEE Trans. Medical Imaging
Jiantao Pu, Bin Zheng, Joseph K. Leader, Carl Fuhrman, Friedrich Knollmann, Amy Klym, David Gur
2009 B conf
Pulmonary airways tree segmentation from CT examinations using adaptive volume of interest.
Image Processing
Sang-Cheol Park, Won Pil Kim, Bin Zheng, Joseph K. Leader, Jiantao Pu, Jun Tan, David Gur
2008 J jnl
A rule-based computer scheme for centromere identification and polarity assignment of metaphase chromosomes.
Comput. Methods Programs Biomed.
Xingwei Wang, Bin Zheng, Shibo Li, John J. Mulvihill, Hong Liu
2008 — conf
Applying a 2D based CAD scheme for detecting micro-calcification clusters using digital breast tomosynthesis images: an assessment.
Computer-Aided Diagnosis
Sang Cheol Park, Bin Zheng, Xiao-Hui Wang, David Gur
2008 — conf
Assessment of the relationship between lesion segmentation accuracy and computer-aided diagnosis scheme performance.
Computer-Aided Diagnosis
Bin Zheng, Jiantao Pu, Sang Cheol Park, Margarita L. Zuley, David Gur
2008 J jnl
Automated identification of analyzable metaphase chromosomes depicted on microscopic digital images.
J. Biomed. Informatics
Xingwei Wang, Shibo Li, Hong Liu, Marc C. Wood, Wei R. Chen, Bin Zheng
2008 J jnl
Development and assessment of an integrated computer-aided detection scheme for digital microscopic images of metaphase chromosomes.
J. Electronic Imaging
Xingwei Wang, Bin Zheng, Shibo Li, John J. Mulvihill, Hong Liu
2007 — conf
Improvement of Visual Similarity of Similar Breast Masses Selected by Computer-Aided Diagnosis Schemes.
ISBI
Bin Zheng, Claudia Mello-Thoms, Xiao-Hui Wang, David Gur
2007 — conf
Mass margins spiculations: agreement between ratings by observers and a computer scheme.
Computer-Aided Diagnosis
Bin Zheng, Gordon Abrams, Lara A. Hardesty, Sang Cheol Park, John M. Drescher, Glenn S. Maitz, David Gur
2006 B conf
Increasing sensitivity of masses cued on both views by CAD.
Image Processing
Bin Zheng, Glenn S. Maitz, Joseph K. Leader, David Gur
2004 B conf
Automated detection and classification of interstitial lung diseases from low-dose CT images.
Image Processing
Bin Zheng, Joseph Ken Leader, Carl R. Fuhrman, Frank C. Sciurba, David Gur
2003 B conf
A simple method for automated lung segmentation in x-ray CT images.
Image Processing
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
2003 B conf
Improving CAD performance in detecting masses depicted on prior images.
Image Processing
Bin Zheng, Xiao Hui Wang, Luisa P. Wallace, Cathy Cohen, Lara A. Hardesty, Christiane M. Hakim, Gordon Abran, Jules H. Sumkin, David Gur
2002 B conf
Change of region conspicuity in bilateral mammograms: potential impact on CAD performance.
Image Processing
Bin Zheng, Xiao Hui Wang, Yuan-Hsiang Chang, Lara A. Hardesty, Marie A. Ganott, Walter F. Good, David Gur
2002 B conf
Incorporation of negative regions in a knowledge-based computer-aided detection scheme.
Image Processing
Yuan-Hsiang Chang, Xiao Hui Wang, Lara A. Hardesty, Christiane M. Hakim, Bin Zheng, Walter F. Good, David Gur
2001 B conf
Computerized analysis of lesions in 3D MR breast images.
Image Processing
He Wang, Bin Zheng, Walter F. Good, Xiao Hui Wang
2001 — conf
Correction of digitized mammograms to enhance soft display and tissue composition measurement.
Image-Guided Procedures
Xiao Hui Wang, Bin Zheng, Yuan-Hsiang Chang, Walter F. Good
1999 B conf
Application of a Bayesian belief network in a computer-assisted diagnosis scheme for mass detection.
Image Processing
Bin Zheng, Yuan-Hsiang Chang, Xiao Hui Wang, Walter F. Good, David Gur
1999 B conf
Comparison of artificial neural network and Bayesian belief network in a computer-assisted diagnosis scheme for mammography.
IJCNN
Bin Zheng, Yuan-Hsiang Chang, Xiao-Hui Wang, Walter F. Good
1999 B conf
Computer-aided diagnosis of breast cancer using artificial neural networks: comparison of backpropagation and genetic algorithms.
IJCNN
Yuan-Hsiang Chang, Bin Zheng, Xiao-Hui Wang, Walter F. Good
1999 J jnl
Computer-assisted diagnosis of breast cancer using a data-driven Bayesian belief network.
Int. J. Medical Informatics
Xiao-Hui Wang, Bin Zheng, Walter F. Good, Jill L. King, Yuan-Hsiang Chang
1999 B conf
Generalized procrustean image deformation for subtraction of mammograms.
Image Processing
Walter F. Good, Bin Zheng, Yuan-Hsiang Chang, Xiao Hui Wang, Glenn S. Maitz
1999 B conf
Multi-image CAD employing features derived from ipsilateral mammographic views.
Image Processing
Walter F. Good, Bin Zheng, Yuan-Hsiang Chang, Xiao Hui Wang, Glenn S. Maitz, David Gur
1999 B conf
Optimizing the feature set for a Bayesian network for breast cancer diagnosis using genetic algorithm techniques.
Image Processing
Xiao Hui Wang, Bin Zheng, Yuan-Hsiang Chang, Walter F. Good
1998 B conf
Assessment of mass detection using tissue background information as input to a computer-assisted diagnosis scheme.
Image Processing
Bin Zheng, Yuan-Hsiang Chang, Walter F. Good, David Gur