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  1. Impact of a single distance phase retrieval algorithm on spatial resolution in X-ray inline phase sensitive imaging

    Article • Biomedical Spectroscopy and Imaging, July 2019, IOS Press

    Professor Bin Zheng, Farid Omoumi

  2. A dual-mode deep transfer learning (D2TL) system for breast cancer detection using contrast enhanced digital mammograms

    Article • IISE Transactions on Healthcare Systems Engineering, June 2019, Taylor & Francis

    Professor Bin Zheng, Jay Shah

  3. Applying deep learning technology to automatically identify metaphase chromosomes using scanning microscopic images: an initial investigation

    Article • March 2016, SPIE

    Professor Bin Zheng

  4. Optimized acquisition time for x-ray fluorescence imaging of gold nanoparticles: a preliminary study using photon counting detector

    Article • March 2016, SPIE

    Professor Bin Zheng

  5. Association between Changes in Mammographic Image Features and Risk for Near-term Breast Cancer Development

    Article • IEEE Transactions on Medical Imaging, January 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Bin Zheng

  6. Computer-aided breast MR image feature analysis for prediction of tumor response to chemotherapy

    Article • Medical Physics, November 2015, American Association of Physicists in Medicine (AAPM)

    Professor Bin Zheng

  7. A new computer-aided detection scheme based on assessment of local bilateral mammographic feature asymmetry - a preliminary evaluation

    Article • August 2015, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Bin Zheng

  8. Improving the efficacy of mammography screening: the potential and challenge of developing new computer-aided detection approaches

    Article • Expert Review of Medical Devices, July 2015, Taylor & Francis

    Professor Bin Zheng

  9. A new approach to develop computer-aided detection schemes of digital mammograms

    Article • Physics in Medicine and Biology, May 2015, Institute of Physics Publishing

    Professor Bin Zheng

  10. A new CAD approach for improving efficacy of cancer screening

    Article • March 2015, SPIE

    Professor Bin Zheng

  11. Association of mammographic image feature change and an increasing risk trend of developing breast cancer: an assessment

    Article • March 2015, SPIE

    Professor Bin Zheng

  12. Automated detection of breast tumor in MRI and comparison of kinetic features for assessing tumor response to chemotherapy

    Article • March 2015, SPIE

    Professor Bin Zheng

  13. Exploring new quantitative CT image features to improve assessment of lung cancer prognosis

    Article • March 2015, SPIE

    Professor Bin Zheng, Ms Nastaran Emaminejad

  14. A new Fourier transform based CBIR scheme for mammographic mass classification: a preliminary invariance assessment

    Article • March 2015, SPIE

    Professor Bin Zheng

  15. Optimization of Network Topology in Computer-Aided Detection Schemes Using Phased Searching with NEAT in a Time-Scaled Framework

    Article • Cancer Informatics, October 2014, Libertas Academica, Ltd.

    Professor Bin Zheng

  16. Association between Computed Tissue Density Asymmetry in Bilateral Mammograms and Near-term Breast Cancer Risk

    Article • The Breast Journal, March 2014, Wiley

    Professor Bin Zheng

  17. A new resonance-frequency based electrical impedance spectroscopy and its application in biomedical engineering

    Article • March 2014, SPIE

    Professor Bin Zheng

  18. A new mass classification system derived from multiple features and a trained MLP model

    Article • March 2014, SPIE

    Professor Bin Zheng

  19. Improving breast mass detection using histogram of oriented gradients

    Article • March 2014, SPIE

    Professor Bin Zheng

  20. Classification of Thyroid Nodules Using a Resonance-Frequency–Based Electrical Impedance Spectroscopy: A Preliminary Assessment

    Article • Thyroid, July 2013, Mary Ann Liebert Inc

    Professor Bin Zheng

  21. Resonance-frequency based electrical impedance spectroscopy and its detection sensitivity to breast lesions

    Article • March 2013, SPIE

    Professor Bin Zheng

  22. Objective evaluation of the microscopic image sharpness for diagnostic metaphase chromosomes

    Article • February 2013, SPIE

    Professor Bin Zheng

  23. Evaluation of computer-aided detection and diagnosis systems

    Article • Medical Physics, January 2013, American Association of Physicists in Medicine (AAPM)

    Professor Bin Zheng

  24. Improving Performance of Computer-aided Detection of Masses by Incorporating Bilateral Mammographic Density Asymmetry: An Assessment

    Article • Academic Radiology, March 2012, Elsevier

    Professor Bin Zheng

  25. Improving performance of computer-aided detection of pulmonary embolisms by incorporating a new pulmonary vascular-tree segmentation algorithm

    Article • February 2012, SPIE

    Professor Bin Zheng

  26. Improving CAD performance by fusion of the bilateral mammographic tissue asymmetry information

    Article • February 2012, SPIE

    Professor Bin Zheng

  27. Perceptual mass segmentation using eye-tracking and seed-growing

    Article • February 2012, SPIE

    Professor Bin Zheng

  28. Multi-instance learning for mass retrieval in digitized mammograms

    Article • February 2012, SPIE

    Professor Bin Zheng

  29. Classification of thyroid nodules using a resonance-frequency-based electrical impedance spectroscopy: progress assessment

    Article • February 2012, SPIE

    Professor Bin Zheng

  30. An Interactive System for Computer-Aided Diagnosis of Breast Masses

    Article • Journal of Digital Imaging, January 2012, Springer Science + Business Media

    Professor Bin Zheng

  31. Improving the performance of computer-aided detection of subtle breast masses using an adaptive cueing method

    Article • Physics in Medicine and Biology, January 2012, Institute of Physics Publishing

    Professor Bin Zheng

  32. A Multistage Approach to Improve Performance of Computer-Aided Detection of Pulmonary Embolisms Depicted on CT Images: Preliminary Investigation

    Article • IEEE Transactions on Biomedical Engineering, June 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Bin Zheng

  33. Multi-probe-based resonance-frequency electrical impedance spectroscopy for detection of suspicious breast lesions: improving performance using partial ROC optimization

    Article • March 2011, SPIE

    Professor Bin Zheng

  34. Assessment of a CAD scheme in selecting the optimal focused microscopic scanning images of the metaphase chromosomes

    Article • March 2011, SPIE

    Professor Bin Zheng

  35. Computerized prediction of breast cancer risk: comparison between the global and local bilateral mammographic tissue asymmetry

    Article • March 2011, SPIE

    Professor Bin Zheng

  36. Assessing risk of thyroid cancer using resonance-frequency based electrical impedance measurements

    Article • March 2011, SPIE

    Professor Bin Zheng

  37. Automated segmentation of pulmonary nodule depicted on CT images

    Article • March 2011, SPIE

    Professor Bin Zheng

  38. Texture-based segmentation and analysis of emphysema depicted on CT images

    Article • March 2011, SPIE

    Professor Bin Zheng

  39. A Preliminary Evaluation of Multi-probe Resonance-frequency Electrical Impedance Based Measurements of the Breast

    Article • Academic Radiology, February 2011, Elsevier

    Professor Bin Zheng

  40. Computer-aided detection of early interstitial lung diseases using low-dose CT images

    Article • Physics in Medicine and Biology, January 2011, Institute of Physics Publishing

    Professor Bin Zheng

  41. A GMM-based breast cancer risk stratification using a resonance-frequency electrical impedance spectroscopy

    Article • Medical Physics, January 2011, American Association of Physicists in Medicine (AAPM)

    Professor Bin Zheng

  42. Improving Breast Cancer Risk Stratification Using Resonance-Frequency Electrical Impedance Spectroscopy Through Fusion of Multiple Classifiers

    Article • Annals of Biomedical Engineering, November 2010, Springer Science + Business Media

    Professor Bin Zheng

  43. Computer-Aided Detection

    Article • Academic Radiology, November 2010, Elsevier

    Professor Bin Zheng

  44. Computer-aided Detection: The Impact of Machine Learning Classifier and Image Feature Selection on Scheme Performance

    Article • International Journal of Intelligent Information Processing, September 2010, AICIT

    Professor Bin Zheng

  45. Assessment of Performance and Reliability of Computer-Aided Detection Scheme Using Content-Based Image Retrieval Approach and Limited Reference Database

    Article • Journal of Digital Imaging, March 2010, Springer Science + Business Media

    Professor Bin Zheng

  46. Improving CAD performance in pulmonary embolism detection: preliminary investigation

    Article • March 2010, SPIE

    Professor Bin Zheng

  47. Improving performance and reliability of interactive CAD schemes

    Article • March 2010, SPIE

    Professor Bin Zheng

  48. Automated detection of analyzable metaphase chromosome cells depicted on scanned digital microscopic images

    Article • March 2010, SPIE

    Professor Bin Zheng

  49. A Boosting Framework for Visuality-Preserving Distance Metric Learning and Its Application to Medical Image Retrieval

    Article • IEEE Transactions on Pattern Analysis and Machine Intelligence, January 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Bin Zheng

  50. Pulmonary Lobe Segmentation in CT Examinations Using Implicit Surface Fitting

    Article • IEEE Transactions on Medical Imaging, December 2009, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Bin Zheng

  51. Computer-Aided Diagnosis in Mammography Using Content-Based Image Retrieval Approaches: Current Status and Future Perspectives

    Article • Algorithms, June 2009, MDPI AG

    Professor Bin Zheng

  52. A Computational Geometry Approach to Automated Pulmonary Fissure Segmentation in CT Examinations

    Article • IEEE Transactions on Medical Imaging, May 2009, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Bin Zheng

  53. Improving Performance of Computer-aided Detection Scheme by Combining Results From Two Machine Learning Classifiers

    Article • Academic Radiology, March 2009, Elsevier

    Professor Bin Zheng

  54. Pulmonary airways tree segmentation from CT examinations using adaptive volume of interest

    Article • February 2009, SPIE

    Professor Bin Zheng

  55. Developing and testing a multi-probe resonance electrical impedance spectroscopy system for detecting breast abnormalities

    Article • February 2009, SPIE

    Professor Bin Zheng

  56. Automated classification of metaphase chromosomes: Optimization of an adaptive computerized scheme

    Article • Journal of Biomedical Informatics, February 2009, Elsevier

    Professor Bin Zheng

  57. Automated detection and analysis of fluorescent in situ hybridization spots depicted in digital microscopic images of Pap-smear specimens

    Article • Journal of Biomedical Optics, January 2009, SPIE

    Professor Bin Zheng

  58. Development and assessment of an integrated computer-aided detection scheme for digital microscopic images of metaphase chromosomes

    Article • Journal of Electronic Imaging, October 2008, SPIE

    Professor Bin Zheng

  59. Automated identification of analyzable metaphase chromosomes depicted on microscopic digital images

    Article • Journal of Biomedical Informatics, April 2008, Elsevier

    Professor Bin Zheng

  60. Assessment of the relationship between lesion segmentation accuracy and computer-aided diagnosis scheme performance

    Article • March 2008, SPIE

    Professor Bin Zheng

  61. Assembling a prototype resonance electrical impedance spectroscopy system for breast tissue signal detection: preliminary assessment

    Article • March 2008, SPIE

    Professor Bin Zheng

  62. Erratum: “Evaluating computer-aided detection algorithms” [Med. Phys. 34, 2024–2038 (2007)]

    Article • Medical Physics, January 2008, American Association of Physicists in Medicine (AAPM)

    Professor Bin Zheng

  63. A rule-based computer scheme for centromere identification and polarity assignment of metaphase chromosomes

    Article • Computer Methods and Programs in Biomedicine, January 2008, Elsevier

    Professor Bin Zheng

  64. Detection of breast abnormalities using a prototype resonance electrical impedance spectroscopy system: A preliminary study

    Article • Medical Physics, January 2008, American Association of Physicists in Medicine (AAPM)

    Professor Bin Zheng

  65. An automated CT based lung nodule detection scheme using geometric analysis of signed distance field

    Article • Medical Physics, January 2008, American Association of Physicists in Medicine (AAPM)

    Professor Bin Zheng

  66. Evaluating computer-aided detection algorithms

    Article • Medical Physics, January 2007, American Association of Physicists in Medicine (AAPM)

    Professor Bin Zheng

  67. IMPROVEMENT OF VISUAL SIMILARITY OF SIMILAR BREAST MASSES SELECTED BY COMPUTER-AIDED DIAGNOSIS SCHEMES

    Article • January 2007, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Bin Zheng

  68. Automated detection and quantitative assessment of pulmonary airways depicted on CT images

    Article • Medical Physics, January 2007, American Association of Physicists in Medicine (AAPM)

    Professor Bin Zheng

  69. Airway morphometry in the lungs as depicted in chest CT examinations variability of measurements

    Article • March 2006, SPIE

    Professor Bin Zheng

  70. Multiview-based computer-aided detection scheme for breast masses

    Article • Medical Physics, January 2006, American Association of Physicists in Medicine (AAPM)

    Professor Bin Zheng

  71. Pulmonary Nodule Detection with Low-Dose CT of the Lung: Agreement Among Radiologists

    Article • American Journal of Roentgenology, October 2005, American Roentgen Ray Society

    Professor Bin Zheng

  72. Development and evaluation of automated systems for detection and classification of banded chromosomes: current status and future perspectives

    Article • Journal of Physics D Applied Physics, July 2005, Institute of Physics Publishing

    Professor Bin Zheng

  73. On the Testing and Reporting of Computer-aided Detection Results for Lung Cancer Detection1

    Article • Radiology, July 2004, Radiological Society of North America (RSNA)

    Professor Bin Zheng

  74. Automated detection and classification of interstitial lung diseases from low-dose CT images

    Article • May 2004, SPIE

    Professor Bin Zheng

  75. Detection and classification performance levels of mammographic masses under different computer-aided detection cueing environments1

    Article • Academic Radiology, April 2004, Elsevier

    Professor Bin Zheng

  76. Computer-Aided Detection Schemes: The Effect of Limiting the Number of Cued Regions in Each Case

    Article • American Journal of Roentgenology, March 2004, American Roentgen Ray Society

    Professor Bin Zheng

  77. A method to test the reproducibility and to improve performance of computer-aided detection schemes for digitized mammograms

    Article • Medical Physics, January 2004, American Association of Physicists in Medicine (AAPM)

    Professor Bin Zheng

  78. Mammography with Computer-aided Detection: Reproducibility Assessment—Initial Experience1

    Article • Radiology, July 2003, Radiological Society of North America (RSNA)

    Professor Bin Zheng

  79. Computer-Aided Detection in Mammography

    Article • Academic Radiology, November 2002, Elsevier

    Professor Bin Zheng

  80. Incorporation of negative regions in a knowledge-based computer-aided detection scheme

    Article • May 2002, SPIE

    Professor Bin Zheng

  81. Soft-Copy Mammographic Readings with Different Computer-assisted Detection Cuing Environments: Preliminary Findings1

    Article • Radiology, December 2001, Radiological Society of North America (RSNA)

    Professor Bin Zheng

  82. Knowledge-based computer-aided detection of masses on digitized mammograms: A preliminary assessment

    Article • Medical Physics, January 2001, American Association of Physicists in Medicine (AAPM)

    Professor Bin Zheng

  83. Performance gain in computer-assisted detection schemes by averaging scores generated from artificial neural networks with adaptive filtering

    Article • Medical Physics, January 2001, American Association of Physicists in Medicine (AAPM)

    Professor Bin Zheng

  84. Application of a Bayesian belief network in a computer-assisted diagnosis scheme for mass detection

    Article • May 1999, SPIE

    Professor Bin Zheng

  85. Identification of Clustered Microcalcifications on Digitized Mammograms Using Morphology and Topography-Based Computer-Aided Detection Schemes

    Article • Investigative Radiology, October 1998, Wolters Kluwer Health

    Professor Bin Zheng

  86. Assessment of mass detection using tissue background information as input to a computer-assisted diagnosis scheme

    Article • June 1998, SPIE

    Professor Bin Zheng

  87. Incorporation of a set enumeration trees-based classifier into a hybrid computer-assisted diagnosis scheme for mass detection

    Article • Academic Radiology, March 1998, Elsevier

    Professor Bin Zheng

  88. Adequacy testing of training set sample sizes in the development of a computer-assisted diagnosis scheme

    Article • Academic Radiology, July 1997, Elsevier

    Professor Bin Zheng

  89. Computer-aided detection of clustered microcalcifications on digitized mammograms: A robustness experiment

    Article • Academic Radiology, June 1997, Elsevier

    Professor Bin Zheng

  90. Adaptive computer-aided diagnosis scheme of digitized mammograms

    Article • Academic Radiology, October 1996, Elsevier

    Professor Bin Zheng

  91. Computer-aided detection of clustered microcalcifications in digitized mammograms

    Article • Academic Radiology, August 1995, Elsevier

    Professor Bin Zheng

  92. Computer-aided diagnosis of breast cancer using artificial neural networks: comparison of backpropagation and genetic algorithms

    Article • Institute of Electrical & Electronics Engineers (IEEE)

    Professor Bin Zheng

  93. Comparison of artificial neural network and Bayesian belief network in a computer-assisted diagnosis scheme for mammography

    Article • Institute of Electrical & Electronics Engineers (IEEE)

    Professor Bin Zheng