Neculai Archip

Summary

Affiliation: Harvard University
Country: USA

Publications

  1. ncbi request reprint Ultrasound image segmentation using spectral clustering
    Neculai Archip
    Harvard Medical School, Brigham and Women s Hospital, Boston, MA 02115, USA
    Ultrasound Med Biol 31:1485-97. 2005
  2. ncbi request reprint Spectral clustering algorithms for ultrasound image segmentation
    Neculai Archip
    Computational Radiology Laboratory, Harvard Medical School, Department of Radiology, Brigham and Women s Hospital, Boston, MA, USA
    Med Image Comput Comput Assist Interv 8:862-9. 2005
  3. ncbi request reprint A validation framework for brain tumor segmentation
    Neculai Archip
    Harvard Medical School, Brigham and Women s Hospital, 75 Francis St, Boston, MA 02115, USA
    Acad Radiol 14:1242-51. 2007
  4. pmc Non-rigid alignment of pre-operative MRI, fMRI, and DT-MRI with intra-operative MRI for enhanced visualization and navigation in image-guided neurosurgery
    Neculai Archip
    Department of Radiology, Harvard Medical School, Brigham and Women s Hospital, 75 Francis St, Boston, MA 02115, USA
    Neuroimage 35:609-24. 2007
  5. ncbi request reprint Anatomical structure modeling from medical images
    Neculai Archip
    Computational Radiology Laboratory, Harvard Medical School, Brigham and Women s Hospital, Children s Hospital, Boston, MA, USA
    Comput Methods Programs Biomed 82:203-15. 2006
  6. doi request reprint Compensation of geometric distortion effects on intraoperative magnetic resonance imaging for enhanced visualization in image-guided neurosurgery
    Neculai Archip
    Brigham and Women s Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA
    Neurosurgery 62:209-15; discussion 215-6. 2008
  7. ncbi request reprint Image-guided neurosurgery at Brigham and Women's Hospital
    Simon P DiMaio
    Harvard Medical School, Brigham and Women s Hospital, Boston, Massachusetts, USA
    IEEE Eng Med Biol Mag 25:67-73. 2006
  8. ncbi request reprint A knowledge-based approach to automatic detection of the spinal cord in CT images
    Neculai Archip
    Computer Science Department, University of Neuchatel, Emile Argand 11, CH 2007, Neuchatel, Switzerland
    IEEE Trans Med Imaging 21:1504-16. 2002
  9. ncbi request reprint Automatic detection of fiducial markers in fluoroscopy images for on-line calibration
    Laurence Smith
    The University of British Columbia, Vancouver Canada
    Med Phys 32:1521-3. 2005
  10. ncbi request reprint Automatic measurements of image geometry for online calibration of C-arm fluoroscopy
    Neculai Archip
    Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, British Columbia V6T 1Z4, Canada
    Med Phys 31:2498-500. 2004

Collaborators

Detail Information

Publications11

  1. ncbi request reprint Ultrasound image segmentation using spectral clustering
    Neculai Archip
    Harvard Medical School, Brigham and Women s Hospital, Boston, MA 02115, USA
    Ultrasound Med Biol 31:1485-97. 2005
    ..The success of the segmentation on these test cases warrants further research into NCut-based segmentation of ultrasound images...
  2. ncbi request reprint Spectral clustering algorithms for ultrasound image segmentation
    Neculai Archip
    Computational Radiology Laboratory, Harvard Medical School, Department of Radiology, Brigham and Women s Hospital, Boston, MA, USA
    Med Image Comput Comput Assist Interv 8:862-9. 2005
    ..Comparisons with the classical NCut algorithm are also presented. Finally, segmentation results on other types of medical images are shown...
  3. ncbi request reprint A validation framework for brain tumor segmentation
    Neculai Archip
    Harvard Medical School, Brigham and Women s Hospital, 75 Francis St, Boston, MA 02115, USA
    Acad Radiol 14:1242-51. 2007
    ..We introduce a validation framework for the segmentation of brain tumors from magnetic resonance (MR) images. A novel unsupervised semiautomatic brain tumor segmentation algorithm is also presented...
  4. pmc Non-rigid alignment of pre-operative MRI, fMRI, and DT-MRI with intra-operative MRI for enhanced visualization and navigation in image-guided neurosurgery
    Neculai Archip
    Department of Radiology, Harvard Medical School, Brigham and Women s Hospital, 75 Francis St, Boston, MA 02115, USA
    Neuroimage 35:609-24. 2007
    ....
  5. ncbi request reprint Anatomical structure modeling from medical images
    Neculai Archip
    Computational Radiology Laboratory, Harvard Medical School, Brigham and Women s Hospital, Children s Hospital, Boston, MA, USA
    Comput Methods Programs Biomed 82:203-15. 2006
    ..The method is demonstrated on computed tomography, MRI and 3D ultrasound data. Models of 170,000 tetrahedra are constructed on a standard workstation in approximately 10s. A comparison with related methods is also provided...
  6. doi request reprint Compensation of geometric distortion effects on intraoperative magnetic resonance imaging for enhanced visualization in image-guided neurosurgery
    Neculai Archip
    Brigham and Women s Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA
    Neurosurgery 62:209-15; discussion 215-6. 2008
    ..We propose and evaluate a novel method to compensate for the geometric distortion of intraoperative 0.5-T MRI in image-guided neurosurgery...
  7. ncbi request reprint Image-guided neurosurgery at Brigham and Women's Hospital
    Simon P DiMaio
    Harvard Medical School, Brigham and Women s Hospital, Boston, Massachusetts, USA
    IEEE Eng Med Biol Mag 25:67-73. 2006
  8. ncbi request reprint A knowledge-based approach to automatic detection of the spinal cord in CT images
    Neculai Archip
    Computer Science Department, University of Neuchatel, Emile Argand 11, CH 2007, Neuchatel, Switzerland
    IEEE Trans Med Imaging 21:1504-16. 2002
    ..The lamina is more problematic to locate correctly (accuracy 72%). The position of the outer thorax is always determined correctly...
  9. ncbi request reprint Automatic detection of fiducial markers in fluoroscopy images for on-line calibration
    Laurence Smith
    The University of British Columbia, Vancouver Canada
    Med Phys 32:1521-3. 2005
    ..An on-line technique is developed to automatically locate the fiducial markers and validated on 97 images. The success rate of the detection algorithm is 96.28% with an average error of 0.46 mm and a standard deviation of 0.32 mm...
  10. ncbi request reprint Automatic measurements of image geometry for online calibration of C-arm fluoroscopy
    Neculai Archip
    Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, British Columbia V6T 1Z4, Canada
    Med Phys 31:2498-500. 2004
    ..All 100 images were successfully measured with an average error of 0.8 mm for the center and 0.8 mm for the radius. The execution time is less than one second per image...
  11. ncbi request reprint A computer aided diagnostic system for radiotherapy planning
    Neculai Archip
    Electrical and Computer Engineering Department, University of British Columbia, Canada
    Z Med Phys 12:246-51. 2002
    ..The experiments performed show that the method is reliable, with possible future application in an oncology department...