Jamshid Dehmeshki

Summary

Affiliation: Kingston University
Country: UK

Publications

  1. ncbi Efficient computer-aided detection of ground-glass opacity nodules in thoracic CT images
    Xujiong Ye
    Medicsight PLC, 66 Hammersmith Road, London W14 8UD, UK
    Conf Proc IEEE Eng Med Biol Soc 2007:4449-52. 2007
  2. ncbi Segmentation of pulmonary nodules in thoracic CT scans: a region growing approach
    J Dehmeshki
    Faculty of Computing, Information Systems and Mathematics, Kingston University, Kingston upon Thames KT1 2EE, UK
    IEEE Trans Med Imaging 27:467-80. 2008
  3. ncbi Automated detection of lung nodules in CT images using shape-based genetic algorithm
    Jamshid Dehmeshki
    Medicsight PLC, London, UK
    Comput Med Imaging Graph 31:408-17. 2007
  4. ncbi Shape-based computer-aided detection of lung nodules in thoracic CT images
    Xujiong Ye
    Medicsight PLC, London W14 8UD, UK
    IEEE Trans Biomed Eng 56:1810-20. 2009
  5. ncbi Volumetric quantification of atherosclerotic plaque in CT considering partial volume effect
    Jamshid Dehmeshki
    Medicsight PLC, London, W1J 5AT, UK
    IEEE Trans Med Imaging 26:273-82. 2007
  6. ncbi Computer assisted detection software for CT colonography: effect of sphericity filter on performance characteristics for patients with and without fecal tagging
    Jamshid Dehmeshki
    Medicsight PLC, Berkeley Sq, London, UK
    Eur Radiol 17:662-8. 2007
  7. ncbi Computer-assisted detection for CT colonography: external validation
    S Halligan
    Department of Specialist Radiology, University College Hospital, London, UK
    Clin Radiol 61:758-63; discussion 764-5. 2006
  8. ncbi Computed tomographic colonography: assessment of radiologist performance with and without computer-aided detection
    Steve Halligan
    Department of Specialist Radiology, University College Hospital, London, England
    Gastroenterology 131:1690-9. 2006
  9. ncbi Polyp detection with CT colonography: primary 3D endoluminal analysis versus primary 2D transverse analysis with computer-assisted reader software
    Stuart A Taylor
    Department of Intestinal Imaging, St Mark s Hospital, Northwick Park, Harrow, United Kingdom
    Radiology 239:759-67. 2006
  10. ncbi Computer-assisted reader software versus expert reviewers for polyp detection on CT colonography
    Stuart A Taylor
    Department of Intestinal Imaging, St. Mark's and Northwick Park Hospitals, Watford Rd, Harrow HA1 3UJ, United Kingdom
    AJR Am J Roentgenol 186:696-702. 2006

Detail Information

Publications11

  1. ncbi Efficient computer-aided detection of ground-glass opacity nodules in thoracic CT images
    Xujiong Ye
    Medicsight PLC, 66 Hammersmith Road, London W14 8UD, UK
    Conf Proc IEEE Eng Med Biol Soc 2007:4449-52. 2007
    ..3%, with the number of false positives at approximately 12.7/scan (0.07/slice). The high detection performance of the method suggested promising potential for clinical applications...
  2. ncbi Segmentation of pulmonary nodules in thoracic CT scans: a region growing approach
    J Dehmeshki
    Faculty of Computing, Information Systems and Mathematics, Kingston University, Kingston upon Thames KT1 2EE, UK
    IEEE Trans Med Imaging 27:467-80. 2008
    ..84% of the first results of the segmentation were accepted by the radiologist while for the remaining 16% nodules, alternative segmentation solutions that were provided by the method were selected...
  3. ncbi Automated detection of lung nodules in CT images using shape-based genetic algorithm
    Jamshid Dehmeshki
    Medicsight PLC, London, UK
    Comput Med Imaging Graph 31:408-17. 2007
    ..6/scan (0.06/slice). The high-detection performance of the method suggested promising potential for clinical applications...
  4. ncbi Shape-based computer-aided detection of lung nodules in thoracic CT images
    Xujiong Ye
    Medicsight PLC, London W14 8UD, UK
    IEEE Trans Biomed Eng 56:1810-20. 2009
    ..The method's high detection rate, fast computation, and applicability to different imaging conditions and nodule types shows much promise for clinical applications...
  5. ncbi Volumetric quantification of atherosclerotic plaque in CT considering partial volume effect
    Jamshid Dehmeshki
    Medicsight PLC, London, W1J 5AT, UK
    IEEE Trans Med Imaging 26:273-82. 2007
    ..The high reproducibility of the proposed method for 35 patients, scanned twice using the same protocol at a minimum interval of 10 min, shows that the method provides 2-3 times lower interscan variation than conventional techniques...
  6. ncbi Computer assisted detection software for CT colonography: effect of sphericity filter on performance characteristics for patients with and without fecal tagging
    Jamshid Dehmeshki
    Medicsight PLC, Berkeley Sq, London, UK
    Eur Radiol 17:662-8. 2007
    ..8% for polyps 6 mm or more when used at a sphericity setting of 0.3. Higher sphericity settings increased specificity while reducing sensitivity. The bowel preparation used significantly impacts on specificity...
  7. ncbi Computer-assisted detection for CT colonography: external validation
    S Halligan
    Department of Specialist Radiology, University College Hospital, London, UK
    Clin Radiol 61:758-63; discussion 764-5. 2006
    ..To externally validate a computer-assisted detection (CAD) system for computed tomography (CT) colonography, using data from a single centre uninvolved with the software development...
  8. ncbi Computed tomographic colonography: assessment of radiologist performance with and without computer-aided detection
    Steve Halligan
    Department of Specialist Radiology, University College Hospital, London, England
    Gastroenterology 131:1690-9. 2006
    ..However, the unavoidable interaction between CAD and the reader has not been addressed...
  9. ncbi Polyp detection with CT colonography: primary 3D endoluminal analysis versus primary 2D transverse analysis with computer-assisted reader software
    Stuart A Taylor
    Department of Intestinal Imaging, St Mark s Hospital, Northwick Park, Harrow, United Kingdom
    Radiology 239:759-67. 2006
    ....
  10. ncbi Computer-assisted reader software versus expert reviewers for polyp detection on CT colonography
    Stuart A Taylor
    Department of Intestinal Imaging, St. Mark's and Northwick Park Hospitals, Watford Rd, Harrow HA1 3UJ, United Kingdom
    AJR Am J Roentgenol 186:696-702. 2006
    ..2 is sensitive for polyp detection, with a clinically acceptable false-positive rate. ColonCAR version 1.2 has a synergistic effect to the reviewer alone, and its standalone performance may exceed even that of experts...
  11. ncbi Computed tomography colonography: automated diameter and volume measurement of colonic polyps compared with a manual technique--in vitro study
    David Burling
    Intestinal Imaging Centre, St. Mark's Hospital, Northwick Park, London, United Kingdom
    J Comput Assist Tomogr 29:387-93. 2005
    ..87 mm, Whiting span: 2.18 mm). CONCLUSION: Fully automated measurement of polyp diameter and volume is technically feasible and results in superior inter- and intraobserver agreement...