Medical Image Analysis Research
MIA
journal article on "deformable organisms". The marriage of deformable
models and artificial life for automatic segmentation. Cited by the
Medical Informatics Association among The Best of Medical
Informatics, 2003.
Reference | PDF
Demos
MIA
survey on deformable models in medical image analysis. Has become a
standard reference and one of the top two most highly cited papers
ever published in this top journal.
Reference | PDF | .ps.gz | References cited in the survey, in
BibTeX format
MIA
journal article on "United Snakes", the marriage of snakes and
livewire.
Reference | PDF
A
multiresolution, non-intersecting deformable surface model for 3D
image segmentation/reconstruction. C&G 2001 Best Paper Award
honorable mention.
Reference | PDF
IEEE TMI journal article on
topologically adaptable surfaces (T-surfaces). A 3D generalization of
the T-snakes model below. Cited by the Medical Informatics Association
among The Best of Medical Informatics, 1999.
Reference
| PDF
MIA
journal article presenting topologically adaptable snakes (T-snakes)
for the analysis of medical images. A Lagrangian, active contour model
that offers a superset of the benefits of Eulerian, level-set
methods.
Reference | PDF
ICCV'95 version of
the paper: Reference | .ps.gz
IEEE TMI
paper on fast, interactive serial segmentation of EM neuronal images
using snakes, as well as reconstruction and volume visualization of 3D
neuronal models.
Reference | PDF
CMIG
paper presenting a physics-based approach to anatomical surface
segmentation, reconstruction, and tracking in multidimensional medical
images using a deformable balloon model.
Reference | PDF | .ps.gz
My
earliest research in medical image analysis was done in 1979, prior to
the existence of journals like MIA and IEEE TMI. This CGIP paper on
the detection of osteogenesis imperfecta using automated
texture analysis was published from that work.
Reference | PDF
Demetri Terzopoulos