Bin Zheng

Summary

Affiliation: University of Pittsburgh
Country: USA

Publications

  1. ncbi Predictive value of early recurrence and delayed cure after catheter ablation for patients with chronic atrial fibrillation
    Xu Ping Li
    Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
    Circ J 72:1125-9. 2008
  2. ncbi Multiview-based computer-aided detection scheme for breast masses
    Bin Zheng
    Department of Radiology, University of Pittsburgh, 300 Halket Street, Suite 4200, Pittsburgh, Pennsylvania 15213, USA
    Med Phys 33:3135-43. 2006
  3. ncbi Performance and reproducibility of a computerized mass detection scheme for digitized mammography using rotated and resampled images: an assessment
    Bin Zheng
    Department of Radiology, University of Pittsburgh, 300 Halket St, Ste 4200, Pittsburgh, PA 15213 3180, USA
    AJR Am J Roentgenol 185:194-8. 2005
  4. ncbi Automated detection and quantitative assessment of pulmonary airways depicted on CT images
    Bin Zheng
    Department of Radiology, University of Pittsburgh, Pittsburgh, Pennsylvania 15213, USA
    Med Phys 34:2844-52. 2007
  5. ncbi Matching breast masses depicted on different views a comparison of three methods
    Bin Zheng
    Department of Radiology, University of Pittsburgh, 3362 Fifth Avenue, Pittsburgh, PA 15213, USA
    Acad Radiol 16:1338-47. 2009
  6. ncbi A method to improve visual similarity of breast masses for an interactive computer-aided diagnosis environment
    Bin Zheng
    Department of Radiology, University of Pittsburgh, Pittsburgh, Pennsylvania 15213, USA
    Med Phys 33:111-7. 2006
  7. ncbi Interactive computer-aided diagnosis of breast masses: computerized selection of visually similar image sets from a reference library
    Bin Zheng
    Department of Radiology, Imaging Research Center, University of Pittsburgh, Pittsburgh, PA 15213, USA
    Acad Radiol 14:917-27. 2007
  8. ncbi Computer-aided detection; the effect of training databases on detection of subtle breast masses
    Bin Zheng
    Department of Radiology, University of Pittsburgh, 3362 Fifth Avenue, Room 128, Pittsburgh, PA 15213, USA
    Acad Radiol 17:1401-8. 2010
  9. ncbi Detection of breast abnormalities using a prototype resonance electrical impedance spectroscopy system: a preliminary study
    Bin Zheng
    Department of Radiology, University of Pittsburgh, Pittsburgh, Pennsylvania 15213, USA
    Med Phys 35:3041-8. 2008
  10. ncbi Pulmonary lobe segmentation in CT examinations using implicit surface fitting
    Jiantao Pu
    Imaging Research Division, Department of Radiology, University of Pittsburgh, Pittsburgh, PA 15213, USA
    IEEE Trans Med Imaging 28:1986-96. 2009

Research Grants

  1. DETECTION AND LOCALIZATION IN MAMMOGRAPHY
    Bin Zheng; Fiscal Year: 2002
  2. Interactive CAD for Mammography
    Bin Zheng; Fiscal Year: 2007
  3. Improving Breast Cancer Detection and Diagnosis with CAD
    Bin Zheng; Fiscal Year: 2009
  4. Improving Breast Cancer Detection and Diagnosis with CAD
    Bin Zheng; Fiscal Year: 2010

Detail Information

Publications55

  1. ncbi Predictive value of early recurrence and delayed cure after catheter ablation for patients with chronic atrial fibrillation
    Xu Ping Li
    Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
    Circ J 72:1125-9. 2008
    ..Radiofrequency catheter ablation (RFCA) for curing atrial fibrillation (AF) is often followed by early recurrence and delayed cure, so the present study investigate the predictive factors this in patients with chronic AF...
  2. ncbi Multiview-based computer-aided detection scheme for breast masses
    Bin Zheng
    Department of Radiology, University of Pittsburgh, 300 Halket Street, Suite 4200, Pittsburgh, Pennsylvania 15213, USA
    Med Phys 33:3135-43. 2006
    ..7% (from 539 to 411). The study demonstrated that the new multiview-based CAD scheme could substantially increase the number of masses being cued on two ipsilateral views while reducing the case-based false-positive detection rate...
  3. ncbi Performance and reproducibility of a computerized mass detection scheme for digitized mammography using rotated and resampled images: an assessment
    Bin Zheng
    Department of Radiology, University of Pittsburgh, 300 Halket St, Ste 4200, Pittsburgh, PA 15213 3180, USA
    AJR Am J Roentgenol 185:194-8. 2005
    ....
  4. ncbi Automated detection and quantitative assessment of pulmonary airways depicted on CT images
    Bin Zheng
    Department of Radiology, University of Pittsburgh, Pittsburgh, Pennsylvania 15213, USA
    Med Phys 34:2844-52. 2007
    ....
  5. ncbi Matching breast masses depicted on different views a comparison of three methods
    Bin Zheng
    Department of Radiology, University of Pittsburgh, 3362 Fifth Avenue, Pittsburgh, PA 15213, USA
    Acad Radiol 16:1338-47. 2009
    ..The purpose of this study was to compare three methods aimed at matching CAD-cued mass regions depicted on two views and the associated impact on CAD performance...
  6. ncbi A method to improve visual similarity of breast masses for an interactive computer-aided diagnosis environment
    Bin Zheng
    Department of Radiology, University of Pittsburgh, Pittsburgh, Pennsylvania 15213, USA
    Med Phys 33:111-7. 2006
    ....
  7. ncbi Interactive computer-aided diagnosis of breast masses: computerized selection of visually similar image sets from a reference library
    Bin Zheng
    Department of Radiology, Imaging Research Center, University of Pittsburgh, Pittsburgh, PA 15213, USA
    Acad Radiol 14:917-27. 2007
    ..The objective of this study is to develop and test a new ICAD scheme that aims improve visual similarity of ICAD-selected reference regions...
  8. ncbi Computer-aided detection; the effect of training databases on detection of subtle breast masses
    Bin Zheng
    Department of Radiology, University of Pittsburgh, 3362 Fifth Avenue, Room 128, Pittsburgh, PA 15213, USA
    Acad Radiol 17:1401-8. 2010
    ..The aim of this study was to investigate the effect of training database case selection on CAD performance in detecting low-conspicuity breast masses...
  9. ncbi Detection of breast abnormalities using a prototype resonance electrical impedance spectroscopy system: a preliminary study
    Bin Zheng
    Department of Radiology, University of Pittsburgh, Pittsburgh, Pennsylvania 15213, USA
    Med Phys 35:3041-8. 2008
    ....
  10. ncbi Pulmonary lobe segmentation in CT examinations using implicit surface fitting
    Jiantao Pu
    Imaging Research Division, Department of Radiology, University of Pittsburgh, Pittsburgh, PA 15213, USA
    IEEE Trans Med Imaging 28:1986-96. 2009
    ..5 mm. The advantages of this scheme are its full automation, relative insensitivity to fissure completeness, and ease of implementation...
  11. ncbi An ellipse-fitting based method for efficient registration of breast masses on two mammographic views
    Jiantao Pu
    Department of Radiology, University of Pittsburgh, 3362 Fifth Avenue, Pittsburgh, Pennsylvania 15213, USA
    Med Phys 35:487-94. 2008
    ..The results demonstrate the feasibility of the proposed method to automatically identify masses depicted on CC and MLO views, which may improve future development of multiview based CAD schemes...
  12. ncbi An automated CT based lung nodule detection scheme using geometric analysis of signed distance field
    Jiantao Pu
    Imaging Research Center, Department of Radiology University of Pittsburgh, Pittsburgh, Pennsylvania 15213, USA
    Med Phys 35:3453-61. 2008
    ..In addition to potentially being a stand alone approach, the signed distance field based method can be easily implemented as an initial filtering step in other computer-aided detection schemes...
  13. ncbi A method to test the reproducibility and to improve performance of computer-aided detection schemes for digitized mammograms
    Bin Zheng
    Department of Radiology, University of Pittsburgh, Pittsburgh, Pennsylvania 15213-3180, USA
    Med Phys 31:2964-72. 2004
    ....
  14. ncbi Improving performance of content-based image retrieval schemes in searching for similar breast mass regions: an assessment
    Xiao Hui Wang
    Department of Radiology, University of Pittsburgh, Pittsburgh, PA 15213, USA
    Phys Med Biol 54:949-61. 2009
    ..107 +/- 0.718, 2.301 +/- 0.733 and 2.298 +/- 0.743. The study demonstrates that due to the diversity of medical images, CBIR schemes using multiple image features and mass size-based ROIs can achieve significantly improved performance...
  15. ncbi Assessment of performance improvement in content-based medical image retrieval schemes using fractal dimension
    Sang Cheol Park
    Department of Radiology, University of Pittsburgh, 3362 Fifth Avenue, Pittsburgh, PA 15213, USA
    Acad Radiol 16:1171-8. 2009
    ....
  16. ncbi Detection and classification performance levels of mammographic masses under different computer-aided detection cueing environments
    Bin Zheng
    Department of Radiology, University of Pittsburgh, Magee Womens Hospital, Pittsburgh, PA, USA
    Acad Radiol 11:398-406. 2004
    ..The authors evaluated the impact of different computer-aided detection (CAD) cueing conditions on radiologists' performance levels in detecting and classifying masses depicted on mammograms...
  17. ncbi Optimization of reference library used in content-based medical image retrieval scheme
    Sang Cheol Park
    Department of Radiology, University of Pittsburgh, 3362 Fifth Avenue, Pittsburgh, Pennsylvania 15213, USA
    Med Phys 34:4331-9. 2007
    ..914 (p < 0.01). The study demonstrates that increasing reference library size and removing poorly effective references can significantly improve I-CAD performance...
  18. ncbi Integrated density of a lesion: a quantitative, mammographically derived, invariable measure
    Yuan Hsiang Chang
    Department of Radiology, University of Pittsburgh and Magee Womens Hospital, Pittsburgh, Pennsylvania 15213, USA
    Med Phys 30:1805-11. 2003
    ..There is a high degree of correlation between ID-based measures obtained from different views of the same mass. ID-based measures showed a higher degree of invariance than mass diameter or effective size...
  19. ncbi A boosting framework for visuality-preserving distance metric learning and its application to medical image retrieval
    Liu Yang
    Machine Learning Department, School of Computer Science, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15231, USA
    IEEE Trans Pattern Anal Mach Intell 32:30-44. 2010
    ..Additional evaluation with the COREL collection shows that our algorithm works well for regular image data sets...
  20. ncbi Computerized comprehensive data analysis of lung imaging database consortium (LIDC)
    Jun Tan
    Department of Radiology, Imaging Research Division, University of Pittsburgh, 3362 Fifth Avenue, Pittsburgh, Pennsylvania 15213, USA
    Med Phys 37:3802-8. 2010
    ....
  21. ncbi Computerized prediction of risk for developing breast cancer based on bilateral mammographic breast tissue asymmetry
    Xingwei Wang
    Department of Radiology, University of Pittsburgh, 3362 Fifth Avenue, Pittsburgh, PA 15213, USA
    Med Eng Phys 33:934-42. 2011
    ..The study demonstrated the feasibility of applying a computerized scheme to detect cases with high risk of developing breast cancer based on computer-detected bilateral mammographic tissue asymmetry...
  22. ncbi Computer-aided detection schemes: the effect of limiting the number of cued regions in each case
    Bin Zheng
    Department of Radiology, Imaging Research, Magee Women s Hospital, University of Pittsburgh, 300 Halket St, Ste 4200, Pittsburgh, PA 15213 3180, USA
    AJR Am J Roentgenol 182:579-83. 2004
    ..We assessed performance changes of a mammographic computer-aided detection scheme when we restricted the maximum number of regions that could be identified (cued) as showing positive findings in each case...
  23. ncbi A comparison of two data analyses from two observer performance studies using Jackknife ROC and JAFROC
    Bin Zheng
    Department of Radiology, University of Pittsburgh, 300 Halket Street, Suite 4200, Pittsburgh, Pennsylvania 15213 3180, USA
    Med Phys 32:1031-4. 2005
    ..In the second study, LABMRMC showed no significant differences for any paired data sets and JAFROC showed a significant difference for one pair. In 15 of 16 pairs, p values computed by JAFROC were lower than those computed by LABMRMC...
  24. ncbi Evaluating computer-aided detection algorithms
    Hong Jun Yoon
    Department of Radiology, University of Pittsburgh, Pittsburgh, Pennsylvania 15261, USA
    Med Phys 34:2024-38. 2007
    ..Software based on this work is expected to benefit CAD developers working in diverse areas of medical imaging...
  25. ncbi Performance change of mammographic CAD schemes optimized with most-recent and prior image databases
    Bin Zheng
    Department of Radiology, University of Pittsburgh and Magee-Womens Hospital, 300 Halket St, Suite 4200, Pittsburgh, PA 15213-3180, USA
    Acad Radiol 10:283-8. 2003
    ..To optimize CAD schemes for early detection, it may be important to include in the training database a large fraction of prior images originally reported as negative and later proven to be positive...
  26. ncbi Computerized estimation of the lung volume removed during lung volume reduction surgery
    Sebastien Gilbert
    Department of Surgery, University of Pittsburgh, Imaging Research Division, 300 Halket Street, Suite 4200, Pittsburgh, PA 15213, USA
    Acad Radiol 13:1379-86. 2006
    ....
  27. ncbi Improving performance of computer-aided detection scheme by combining results from two machine learning classifiers
    Sang Cheol Park
    Department of Radiology, University of Pittsburgh, 3362 Fifth Avenue, Pittsburgh, PA 15213, USA
    Acad Radiol 16:266-74. 2009
    ....
  28. ncbi Computerized detection of breast tissue asymmetry depicted on bilateral mammograms: a preliminary study of breast risk stratification
    Xingwei Wang
    Department of Radiology, University of Pittsburgh, Pittsburgh, PA 15213, USA
    Acad Radiol 17:1234-41. 2010
    ....
  29. ncbi Improving the performance of computer-aided detection of subtle breast masses using an adaptive cueing method
    Xingwei Wang
    Department of Radiology, University of Pittsburgh, Pittsburgh, PA 15213, USA
    Phys Med Biol 57:561-75. 2012
    ..The study demonstrated that using this adaptive cueing method enabled us to help CAD cue more subtle cancers without increasing the false-positive cueing rate...
  30. ncbi A Computational geometry approach to automated pulmonary fissure segmentation in CT examinations
    Jiantao Pu
    Imaging Research Division, Department of Radiology, University of Pittsburgh, Pittsburgh, PA 15213, USA
    IEEE Trans Med Imaging 28:710-9. 2009
    ..48 +/-0.92 to 2.04 +/-3.88 mm. The discrepancy of fissure detection results between the automated scheme and either radiologist is smaller in this dataset than the interreader variability...
  31. ncbi Computer-aided detection performance in mammographic examination of masses: assessment
    David Gur
    Department of Radiology and Magee Womens Hospital, University of Pittsburgh, 300 Halket St, Suite 4200, Pittsburgh, PA 15213 3180, USA
    Radiology 233:418-23. 2004
    ..To compare performance of two computer-aided detection (CAD) systems and an in-house scheme applied to five groups of sequentially acquired screening mammograms...
  32. ncbi A preliminary evaluation of multi-probe resonance-frequency electrical impedance based measurements of the breast
    Bin Zheng
    Department of Radiology, University of Pittsburgh, PA 15213, USA
    Acad Radiol 18:220-9. 2011
    ..The aim of this study was to preliminarily assess the performance of a new, resonance-frequency electrical impedance spectroscopy (REIS) system in identifying young women who were recommended to undergo breast biopsy following imaging...
  33. ncbi A GMM-based breast cancer risk stratification using a resonance-frequency electrical impedance spectroscopy
    Dror Lederman
    Department of Radiology, University of Pittsburgh, Pittsburgh, Pennsylvania 15213, USA
    Med Phys 38:1649-59. 2011
    ....
  34. ncbi Size and morphology of the trachea before and after lung volume reduction surgery
    Joseph K Leader
    Department of Radiology, Imaging Research Division, University of Pittsburgh, 300 Halket St, Ste 4200, Pittsburgh, PA 15213, USA
    AJR Am J Roentgenol 183:315-21. 2004
    ..The purpose of this investigation was to determine the effect of lung volume reduction surgery on measured tracheal features...
  35. ncbi Improving breast cancer risk stratification using resonance-frequency electrical impedance spectroscopy through fusion of multiple classifiers
    Dror Lederman
    Department of Radiology, University of Pittsburgh, 3362 Fifth Avenue, Pittsburgh, PA 15213, USA
    Ann Biomed Eng 39:931-45. 2011
    ..The study demonstrated that REIS examinations provide relevant information for developing breast cancer risk stratification tools and that using fusion of several not-fully-correlated classifiers can improve classification performance...
  36. ncbi Assessment of performance and reliability of computer-aided detection scheme using content-based image retrieval approach and limited reference database
    Xiao Hui Wang
    Department of Radiology, University of Pittsburgh, 3362 Fifth Avenue, Pittsburgh, PA 15213, USA
    J Digit Imaging 24:352-9. 2011
    ....
  37. ncbi Computer-aided detection in mammography: an assessment of performance on current and prior images
    Bin Zheng
    Department of Radiology, University of Pittsburgh and Magee-Womens Hospital, PA 15213, USA
    Acad Radiol 9:1245-50. 2002
    ..To improve performance with prior images, the scheme may have to be adaptively reoptimized with increasingly more subtle abnormalities...
  38. ncbi Pulmonary nodule detection with low-dose CT of the lung: agreement among radiologists
    Joseph K Leader
    Department of Radiology, Imaging Research Division, University of Pittsburgh, 300 Halket St, Ste 4200, Pittsburgh, PA 15213, USA
    AJR Am J Roentgenol 185:973-8. 2005
    ..The purpose of our study was to assess relative intra- and interobserver agreement in detecting pulmonary nodules when interpreting low-dose chest CT screening examinations...
  39. ncbi Automated identification of abnormal metaphase chromosome cells for the detection of chronic myeloid leukemia using microscopic images
    Xingwei Wang
    University of Pittsburgh, Department of Radiology, Pittsburgh, Pennsylvania 15213, USA
    J Biomed Opt 15:046026. 2010
    ..The overall case-based classification accuracy is 93.3% (100% sensitivity and 86.7% specificity). The results demonstrate the feasibility of applying an automated scheme to detect or prescreen the suspicious cancer cases...
  40. ncbi A multistage approach to improve performance of computer-aided detection of pulmonary embolisms depicted on CT images: preliminary investigation
    Sang Cheol Park
    Department of Radiology, University of Pittsburgh, PA 15213, USA
    IEEE Trans Biomed Eng 58:1519-27. 2011
    ....
  41. ncbi Automated lung segmentation in X-ray computed tomography: development and evaluation of a heuristic threshold-based scheme
    Joseph K Leader
    Department of Radiology, University of Pittsburgh, Imaging Research Division, 300 Halket St, Suite 4200, Pittsburgh, PA 15213, USA
    Acad Radiol 10:1224-36. 2003
    ..5 mL and -27.7 +/- 66.9 mL for the thick and thin slice cases, respectively. CONCLUSION: This simple, fully-automated lung segmentation scheme provides an objective tool to facilitate lung segmentation from computed tomography scans...
  42. ncbi Mammography with computer-aided detection: reproducibility assessment initial experience
    Bin Zheng
    Department of Radiology, University of Pittsburgh and Magee Womens Hospital, Imaging Research, Suite 4200, 300 Halket St, Pittsburgh, PA 15213, USA
    Radiology 228:58-62. 2003
    ..To examine the performance and reproducibility of a commercially available computer-aided detection (CAD) system with a set of mammograms obtained in 100 patients who had undergone biopsy after positive findings at mammography...
  43. ncbi The influence of radiographic phenotype and smoking status on peripheral blood biomarker patterns in chronic obstructive pulmonary disease
    Jessica M Bon
    Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
    PLoS ONE 4:e6865. 2009
    ..A cross-sectional study was performed to examine the association of serum biomarkers with radiographic airway and parenchymal phenotypes of COPD...
  44. ncbi Improving Performance of Computer-aided Detection of Masses by Incorporating Bilateral Mammographic Density Asymmetry: An Assessment
    Xingwei Wang
    Department of Radiology, University of Pittsburgh, 3362 Fifth Ave, Room 128, Pittsburgh, PA 15213
    Acad Radiol 19:303-10. 2012
    ..This study aims to assess the performance improvement of a computer-aided detection (CAD) scheme in detecting masses by incorporating bilateral mammographic density asymmetrical information...
  45. ncbi Automated analysis of fluorescent in situ hybridization (FISH) labeled genetic biomarkers in assisting cervical cancer diagnosis
    Xingwei Wang
    Department of Radiology, University of Pittsburgh Medical Center, Pittsburgh, PA, 15213, USA
    Technol Cancer Res Treat 9:231-42. 2010
    ..4% to 11.0% difference in cell classification. This preliminary study demonstrates the feasibility of potentially applying the automatic FISH analysis method to expedite the screening and detecting cervical cancer at an early stage...
  46. ncbi A computer-aided method to expedite the evaluation of prognosis for childhood acute lymphoblastic leukemia
    Xingwei Wang
    Center for Bioengineering and School of Electrical and Computer Engineering, University of Oklahoma, Oklahoma, USA
    Technol Cancer Res Treat 5:429-36. 2006
    ..The results demonstrated the feasibility or potential of using a computerized method to replace the tedious and the reader-dependent diagnostic methods commonly used in genetic laboratories to date...
  47. ncbi Enhancing text categorization with semantic-enriched representation and training data augmentation
    Xinghua Lu
    Department of Biostatistics, Bioinformatics and Epidemiology, Charleston, SC 29425, USA
    J Am Med Inform Assoc 13:526-35. 2006
    ..Under such a scenario, the performance of information retrieval algorithms is often unsatisfactory, therefore improvements are needed...
  48. ncbi Automated identification of analyzable metaphase chromosomes depicted on microscopic digital images
    Xingwei Wang
    Center for Bioengineering and School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK 73019, USA
    J Biomed Inform 41:264-71. 2008
    ..93 for the complete dataset. This preliminary study demonstrates the feasibility of developing a computerized scheme to automatically identify and classify metaphase chromosomes...
  49. ncbi Identifying biological concepts from a protein-related corpus with a probabilistic topic model
    Bin Zheng
    Department of Biostatistics, Bioinformatics and Epidemiology, Medical University of South Carolina, Charleston, SC 29405, USA
    BMC Bioinformatics 7:58. 2006
    ..The goal of this research is to identify the major biological topics/concepts from a corpus of protein-related MEDLINE titles and abstracts by applying a probabilistic topic model...
  50. ncbi A rule-based computer scheme for centromere identification and polarity assignment of metaphase chromosomes
    Xingwei Wang
    Center for Bioengineering and School of Electrical and Computer Engineering, University of Oklahoma, 202 West Boyd Street, Room 219, Norman, OK 73019, USA
    Comput Methods Programs Biomed 89:33-42. 2008
    ..4% for polarity assignment. The experimental results demonstrate that our scheme can be successfully applied to diverse chromosomes, which include those severely bent and abnormal chromosomes extracted from cancer cells...
  51. ncbi [Relationship between survivin expression and chemosensitivity of human lung cancer cells]
    Hong Yang
    Department of Thoracic Oncology, Cancer Center, Sun Yat Sen University, State Key Laboratory of Oncology in Southern China, Guangzhou 510060, China
    Zhonghua Yi Xue Za Zhi 87:1934-7. 2007
    ..To investigate the relationship between survivin expression and the chemosensitivity in multiple drug resistant human lung cancer cell line..
  52. ncbi Effects of assembling virtual fixtures on learning a navigation task
    Bin Zheng
    Schoosl of Kinesiology and Engineering Science, Simon Fraser University, Canada
    Stud Health Technol Inform 119:586-91. 2006
    ..In contrast, adding a graphic fixture to the virtual maze helped subjects to define the optimal pathway throughout navigation, which facilitated skill acquisition...
  53. ncbi Spatial orientation and off-axis challenges for NOTES
    Lee Swanstrom
    Minimally Invasive Surgery Division, Department of Surgery, Legacy Health System, 1040 NW 22nd Avenue, Suite 560, Portland, OR 97210, USA
    Gastrointest Endosc Clin N Am 18:315-24; ix. 2008
    ..In the long run, computer interfaces may be necessary to resolve some of these human factor issues and make a true universal platform...
  54. ncbi [The research on computer modeling for artificial bio-valve]
    Weiwei Song
    School of Mechanical Engineering, Jinan University, Jinan 250022
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi 19:579-82. 2002
    ..No-root bio-valve is designed and manufactured according to the above theoies and technology. Its perfect property has been confirmed by measurement in vitro and clinical application in vivo...
  55. ncbi On the testing and reporting of computer-aided detection results for lung cancer detection
    David Gur
    Radiology 232:5-6. 2004

Research Grants9

  1. DETECTION AND LOCALIZATION IN MAMMOGRAPHY
    Bin Zheng; Fiscal Year: 2002
    ..It will also investigate augmented CAD cues that code information about correlations between the two ipsilateral projections. ..
  2. Interactive CAD for Mammography
    Bin Zheng; Fiscal Year: 2007
    ....
  3. Improving Breast Cancer Detection and Diagnosis with CAD
    Bin Zheng; Fiscal Year: 2009
    ....
  4. Improving Breast Cancer Detection and Diagnosis with CAD
    Bin Zheng; Fiscal Year: 2010
    ....