David S Paik

Summary

Affiliation: Stanford University
Country: USA

Publications

  1. ncbi request reprint Surface normal overlap: a computer-aided detection algorithm with application to colonic polyps and lung nodules in helical CT
    David S Paik
    Department of Radiology, Stanford University, Stanford, CA 94305 5450, USA
    IEEE Trans Med Imaging 23:661-75. 2004
  2. ncbi request reprint CT colonography: influence of 3D viewing and polyp candidate features on interpretation with computer-aided detection
    Rong Shi
    Department of Radiology, Stanford University Medical Center, James H Clark Center, 318 Campus Dr, Room S324, Stanford, CA 94305 5450, and Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA
    Radiology 239:768-76. 2006
  3. pmc Adaptive border marching algorithm: automatic lung segmentation on chest CT images
    Jiantao Pu
    Department of Radiology, Stanford University, United States
    Comput Med Imaging Graph 32:452-62. 2008
  4. ncbi request reprint Optimization of a tomosynthesis system for the detection of lung nodules
    Angel R Pineda
    Department of Radiology, Stanford University, Stanford, California 94305, USA
    Med Phys 33:1372-9. 2006
  5. ncbi request reprint Edge displacement field-based classification for improved detection of polyps in CT colonography
    Burak Acar
    Department of Radiology, Lucas MRS Center, 3D Laboratory, Stanford University, Stanford, CA 94305, USA
    IEEE Trans Med Imaging 21:1461-7. 2002
  6. ncbi request reprint Computed tomography colonography: feasibility of computer-aided polyp detection in a "first reader" paradigm
    Aravind Mani
    Department of Radiology, Stanford University Medical Center, and Stanford Medical School, CA 94305, USA
    J Comput Assist Tomogr 28:318-26. 2004
  7. ncbi request reprint Registration of central paths and colonic polyps between supine and prone scans in computed tomography colonography: pilot study
    Ping Li
    Department of Statistics, Stanford University, Stanford, California 94305, USA
    Med Phys 31:2912-23. 2004
  8. ncbi request reprint Quantification of distention in CT colonography: development and validation of three computer algorithms
    Peter W Hung
    Department of Radiology, Stanford University Medical Center, MC 5105, 300 Pasteur Dr, Stanford, CA 94305, USA
    Radiology 222:543-54. 2002
  9. ncbi request reprint CT colonography: does improved z resolution help computer-aided polyp detection?
    Padmavathi Sundaram
    Department of Electrical Engineering, Stanford University, Stanford, California 94305, USA
    Med Phys 30:2663-74. 2003
  10. ncbi request reprint Pulmonary nodules on multi-detector row CT scans: performance comparison of radiologists and computer-aided detection
    Geoffrey D Rubin
    Department of Radiology, Stanford University School of Medicine, 300 Pasteur Drive, S 072, Stanford, CA 94305 5105, USA
    Radiology 234:274-83. 2005

Collaborators

Detail Information

Publications12

  1. ncbi request reprint Surface normal overlap: a computer-aided detection algorithm with application to colonic polyps and lung nodules in helical CT
    David S Paik
    Department of Radiology, Stanford University, Stanford, CA 94305 5450, USA
    IEEE Trans Med Imaging 23:661-75. 2004
    ..It is able to achieve 100% sensitivity for colonic polyps 10 mm and larger at 7.0 false positives (FPs)/dataset and 90% sensitivity for solid lung nodules 6 mm and larger at 5.6 FP/dataset...
  2. ncbi request reprint CT colonography: influence of 3D viewing and polyp candidate features on interpretation with computer-aided detection
    Rong Shi
    Department of Radiology, Stanford University Medical Center, James H Clark Center, 318 Campus Dr, Room S324, Stanford, CA 94305 5450, and Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA
    Radiology 239:768-76. 2006
    ....
  3. pmc Adaptive border marching algorithm: automatic lung segmentation on chest CT images
    Jiantao Pu
    Department of Radiology, Stanford University, United States
    Comput Med Imaging Graph 32:452-62. 2008
    ..The clinical impact of this method is in potentially avoiding false negative CAD findings due to juxtapleural nodules and improving volumetry and doubling time accuracy...
  4. ncbi request reprint Optimization of a tomosynthesis system for the detection of lung nodules
    Angel R Pineda
    Department of Radiology, Stanford University, Stanford, California 94305, USA
    Med Phys 33:1372-9. 2006
    ..The validation of these mathematical observers extends their applicability to the optimization of tomosynthesis systems...
  5. ncbi request reprint Edge displacement field-based classification for improved detection of polyps in CT colonography
    Burak Acar
    Department of Radiology, Lucas MRS Center, 3D Laboratory, Stanford University, Stanford, CA 94305, USA
    IEEE Trans Med Imaging 21:1461-7. 2002
    ..The mean specificity over all experiments increased from 0.19 (0.35) to 0.47 (0.56) for a sensitivity of 1.00 (0.95)...
  6. ncbi request reprint Computed tomography colonography: feasibility of computer-aided polyp detection in a "first reader" paradigm
    Aravind Mani
    Department of Radiology, Stanford University Medical Center, and Stanford Medical School, CA 94305, USA
    J Comput Assist Tomogr 28:318-26. 2004
    ..To determine the feasibility of a computer-aided detection (CAD) algorithm as the "first reader" in computed tomography colonography (CTC)...
  7. ncbi request reprint Registration of central paths and colonic polyps between supine and prone scans in computed tomography colonography: pilot study
    Ping Li
    Department of Statistics, Stanford University, Stanford, California 94305, USA
    Med Phys 31:2912-23. 2004
    ..With polyp registration, the average number of comparisons was 1.78 per polyp, as opposed to 4.28 comparisons without polyp registration...
  8. ncbi request reprint Quantification of distention in CT colonography: development and validation of three computer algorithms
    Peter W Hung
    Department of Radiology, Stanford University Medical Center, MC 5105, 300 Pasteur Dr, Stanford, CA 94305, USA
    Radiology 222:543-54. 2002
    ..Clinical feasibility was demonstrated. Depending on the desired spatial resolution and accuracy, each algorithm can quantitatively depict colonic diameter in CT colonography...
  9. ncbi request reprint CT colonography: does improved z resolution help computer-aided polyp detection?
    Padmavathi Sundaram
    Department of Electrical Engineering, Stanford University, Stanford, California 94305, USA
    Med Phys 30:2663-74. 2003
    ..For detection of polyps 10 mm and larger, reconstruction of 5 mm sections may be sufficient. Further study is required to generalize these results to a broader population of patients scanned on different scanners...
  10. ncbi request reprint Pulmonary nodules on multi-detector row CT scans: performance comparison of radiologists and computer-aided detection
    Geoffrey D Rubin
    Department of Radiology, Stanford University School of Medicine, 300 Pasteur Drive, S 072, Stanford, CA 94305 5105, USA
    Radiology 234:274-83. 2005
    ..To compare the performance of radiologists and of a computer-aided detection (CAD) algorithm for pulmonary nodule detection on thin-section thoracic computed tomographic (CT) scans...
  11. ncbi request reprint Carotid disease: automated analysis with cardiac-gated three-dimensional US technique and preliminary results
    Sandy Napel
    Department of Radiology, Stanford University School of Medicine, Lucas Magnetic Resonance Imaging and Spectroscopy MRS Center P 287, Stanford, CA 94305 5488, USA
    Radiology 222:560-3. 2002
    ..Data for all healthy volunteers (n = 8) and patients with complete occlusions (n = 3) were correctly classified. Data for two of the 12 patients with mild to severe (but not occlusive) disease were misclassified by one category...
  12. ncbi request reprint Polyp enhancing level set evolution of colon wall: method and pilot study
    Ender Konukoglu
    Department of Electrical and Electronics Engineering, Bogazici University, 34342 Istanbul, Turkey
    IEEE Trans Med Imaging 26:1649-56. 2007
    ..0 to 9.0 mm in diameter. This is accompanied by a statistically significant separation between small polyps and false positives. PELS did not change the CTC CAD performance significantly for larger polyps...