Connection

Co-Authors

This is a "connection" page, showing publications co-authored by CHAAN S NG and BRIAN PAUL HOBBS.
Connection Strength

4.011
  1. Effect of scan duration on CT perfusion values in metastases from renal cell carcinoma. Res Diagn Interv Imaging. 2023 Jun; 6:100028.
    View in: PubMed
    Score: 0.894
  2. Combining Washout and Noncontrast Data From Adrenal Protocol CT: Improving Diagnostic Performance. Acad Radiol. 2018 07; 25(7):861-868.
    View in: PubMed
    Score: 0.624
  3. Inferring Stable Acquisition Durations for Applications of Perfusion Imaging in Oncology. Cancer Inform. 2015; 14(Suppl 2):193-9.
    View in: PubMed
    Score: 0.518
  4. Effect on perfusion values of sampling interval of computed tomographic perfusion acquisitions in neuroendocrine liver metastases and normal liver. J Comput Assist Tomogr. 2015 May-Jun; 39(3):373-82.
    View in: PubMed
    Score: 0.515
  5. A functional model for classifying metastatic lesions integrating scans and biomarkers. Stat Methods Med Res. 2020 01; 29(1):137-150.
    View in: PubMed
    Score: 0.167
  6. Utility of Intermediate-Delay Washout CT Images for Differentiation of Malignant and Benign Adrenal Lesions: A Multivariate Analysis. AJR Am J Roentgenol. 2018 08; 211(2):W109-W115.
    View in: PubMed
    Score: 0.160
  7. Spatial Bayesian modeling of GLCM with application to malignant lesion characterization. J Appl Stat. 2018; 46(2):230-246.
    View in: PubMed
    Score: 0.159
  8. Quantification of the Effect of Shuttling on Computed Tomography Perfusion Parameters by Investigation of Aortic Inputs on Different Table Positions From Shuttle-Mode Scans of Lung and Liver Tumors. J Comput Assist Tomogr. 2018 May/Jun; 42(3):357-364.
    View in: PubMed
    Score: 0.159
  9. Differentiation of Malignant and Benign Adrenal Lesions With Delayed CT: Multivariate Analysis and Predictive Models. AJR Am J Roentgenol. 2018 Apr; 210(4):W156-W163.
    View in: PubMed
    Score: 0.156
  10. Diagnostic performance of 18-F-FDG-PET-CT in adrenal lesions using histopathology as reference standard. Abdom Radiol (NY). 2017 02; 42(2):577-584.
    View in: PubMed
    Score: 0.146
  11. CT Perfusion Characteristics Identify Metastatic Sites in Liver. Biomed Res Int. 2015; 2015:120749.
    View in: PubMed
    Score: 0.133
  12. Effect of pre-enhancement set point on computed tomographic perfusion values in normal liver and metastases to the liver from neuroendocrine tumors. J Comput Assist Tomogr. 2014 Jul-Aug; 38(4):526-34.
    View in: PubMed
    Score: 0.122
  13. Metastases to the liver from neuroendocrine tumors: effect of duration of scan acquisition on CT perfusion values. Radiology. 2013 Dec; 269(3):758-67.
    View in: PubMed
    Score: 0.116
  14. Tree-based Methods for Characterizing Tumor Density Heterogeneity. Pac Symp Biocomput. 2018; 23:216-227.
    View in: PubMed
    Score: 0.039
  15. Contrast-associated acute kidney injury in the critically ill: systematic review and Bayesian meta-analysis. Intensive Care Med. 2017 Jun; 43(6):785-794.
    View in: PubMed
    Score: 0.036
  16. A Bayesian Nonparametric Approach for Functional Data Classification with Application to Hepatic Tissue Characterization. Cancer Inform. 2015; 14(Suppl 5):151-62.
    View in: PubMed
    Score: 0.035
  17. Predictive classification of correlated targets with application to detection of metastatic cancer using functional CT imaging. Biometrics. 2015 Sep; 71(3):792-802.
    View in: PubMed
    Score: 0.032
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.