Jiajing Xu

Summary

Affiliation: Stanford University
Country: USA

Publications

  1. pmc Automated temporal tracking and segmentation of lymphoma on serial CT examinations
    Jiajing Xu
    Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA
    Med Phys 38:5879-86. 2011
  2. pmc Quantifying the margin sharpness of lesions on radiological images for content-based image retrieval
    Jiajing Xu
    Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA
    Med Phys 39:5405-18. 2012
  3. pmc A comprehensive descriptor of shape: method and application to content-based retrieval of similar appearing lesions in medical images
    Jiajing Xu
    Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA
    J Digit Imaging 25:121-8. 2012
  4. pmc Automatic annotation of radiological observations in liver CT images
    Francisco Gimenez
    Biomedical Informatics Training Program, Stanford University, CA, USA
    AMIA Annu Symp Proc 2012:257-63. 2012
  5. pmc Automated retrieval of CT images of liver lesions on the basis of image similarity: method and preliminary results
    SANDY A NAPEL
    Department of Radiology, Stanford University School of Medicine, James H Clark Center S323, Stanford, CA 94305 5450, USA
    Radiology 256:243-52. 2010
  6. pmc Snake model-based lymphoma segmentation for sequential CT images
    Qiang Chen
    Department of Radiology, Stanford University, Stanford, CA, USA
    Comput Methods Programs Biomed 111:366-75. 2013
  7. pmc Non-small cell lung cancer: identifying prognostic imaging biomarkers by leveraging public gene expression microarray data--methods and preliminary results
    Olivier Gevaert
    Department of Radiology, Stanford University School of Medicine, Stanford, CA 94305, USA
    Radiology 264:387-96. 2012

Collaborators

Detail Information

Publications7

  1. pmc Automated temporal tracking and segmentation of lymphoma on serial CT examinations
    Jiajing Xu
    Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA
    Med Phys 38:5879-86. 2011
    ..In this paper, we show a method to automatically and reproducibly identify and segment abnormal lymph nodes in serial computed tomography (CT) exams...
  2. pmc Quantifying the margin sharpness of lesions on radiological images for content-based image retrieval
    Jiajing Xu
    Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA
    Med Phys 39:5405-18. 2012
    ..To develop a method to quantify the margin sharpness of lesions on CT and to evaluate it in simulations and CT scans of liver and lung lesions...
  3. pmc A comprehensive descriptor of shape: method and application to content-based retrieval of similar appearing lesions in medical images
    Jiajing Xu
    Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA
    J Digit Imaging 25:121-8. 2012
    ..For the clinical images, the mean NDCG values were still around 90%, suggesting a strong correlation between the computed similarity and the independent similarity reference derived the radiologists...
  4. pmc Automatic annotation of radiological observations in liver CT images
    Francisco Gimenez
    Biomedical Informatics Training Program, Stanford University, CA, USA
    AMIA Annu Symp Proc 2012:257-63. 2012
    ..By exploiting relationships between computational and semantic features, this approach could lead to more accurate and efficient radiology reporting...
  5. pmc Automated retrieval of CT images of liver lesions on the basis of image similarity: method and preliminary results
    SANDY A NAPEL
    Department of Radiology, Stanford University School of Medicine, James H Clark Center S323, Stanford, CA 94305 5450, USA
    Radiology 256:243-52. 2010
    ....
  6. pmc Snake model-based lymphoma segmentation for sequential CT images
    Qiang Chen
    Department of Radiology, Stanford University, Stanford, CA, USA
    Comput Methods Programs Biomed 111:366-75. 2013
    ..58s. The proposed segmentation algorithm for lymph nodes is fast and can achieve high segmentation accuracy, which may be useful to automate the tracking and evaluation of cancer therapy. ..
  7. pmc Non-small cell lung cancer: identifying prognostic imaging biomarkers by leveraging public gene expression microarray data--methods and preliminary results
    Olivier Gevaert
    Department of Radiology, Stanford University School of Medicine, Stanford, CA 94305, USA
    Radiology 264:387-96. 2012
    ....