Kim, H.S.[Hyoung Seop],
Ishikawa, S.,
Ohtsuka, Y.,
Shimizu, H.,
Shinomiya, T.,
Viergever, M.A.,
Automatic scoliosis detection based on local centroids evaluation on
Moire topographic images of human backs,
MedImg(20), No. 12, December 2001, pp. 1314-1320.
IEEE Top Reference.
0201
BibRef
Boisvert, J.[Jonathan],
Cheriet, F.[Farida],
Pennec, X.[Xavier],
Labelle, H.[Hubert],
Ayache, N.J.[Nicholas J.],
Geometric Variability of the Scoliotic Spine Using Statistics on
Articulated Shape Models,
MedImg(27), No. 4, April 2008, pp. 557-568.
IEEE DOI
0804
BibRef
Earlier: A1, A3, A4, A2, A5:
Principal Spine Shape Deformation Modes Using Riemannian Geometry and
Articulated Models,
AMDO06(346-355).
Springer DOI
0607
BibRef
Boisvert, J.[Jonathan],
Cheriet, F.[Farida],
Pennec, X.[Xavier],
Labelle, H.[Hubert],
Ayache, N.J.[Nicholas J.],
Principal Deformations Modes of Articulated Models for the Analysis of
3D Spine Deformities,
ELCVIA(7), No. 4, 2008, pp. xx-yy.
DOI Link
0909
BibRef
Kadoury, S.,
Cheriet, F.,
Labelle, H.,
Personalized X-Ray 3-D Reconstruction of the Scoliotic Spine From
Hybrid Statistical and Image-Based Models,
MedImg(28), No. 9, September 2009, pp. 1422-1435.
IEEE DOI
0909
BibRef
Shi, L.[Lin],
Wang, D.[Defeng],
Heng, P.A.[Pheng Ann],
Wong, T.T.[Tien-Tsin],
Chu, W.C.W.[Winnie C.W.],
Yeung, B.H.Y.[Benson H.Y.],
Cheng, J.C.Y.[Jack C.Y.],
Discriminative analysis of skull morphology in adolescent idiopathic
scoliosis patients: Comparative study with normal controls,
PR(41), No. 9, September 2008, pp. 2800-2811.
Elsevier DOI
0806
BibRef
And: Erratum:
PR(41), No. 12, December 2008, pp. 3860.
Elsevier DOI
0810
Adolescent idiopathic scoliosis; Statistical morphometric analysis;
Feature selection; Surface smoothing
BibRef
Cheung, C.W.J.,
Zhou, G.Q.,
Law, S.Y.,
Mak, T.M.,
Lai, K.L.,
Zheng, Y.P.,
Ultrasound Volume Projection Imaging for Assessment of Scoliosis,
MedImg(34), No. 8, August 2015, pp. 1760-1768.
IEEE DOI
1506
Image reconstruction
BibRef
Kadoury, S.,
Mandel, W.,
Roy-Beaudry, M.,
Nault, M.L.,
Parent, S.,
3-D Morphology Prediction of Progressive Spinal Deformities From
Probabilistic Modeling of Discriminant Manifolds,
MedImg(36), No. 5, May 2017, pp. 1194-1204.
IEEE DOI
1705
Image reconstruction, Manifolds, Predictive models,
Probabilistic logic, Shape, Solid modeling,
3-D spine reconstruction,
adolescent idiopathic scoliosis (AIS), curve progression,
deformation prediction, discriminant, manifolds
BibRef
Zhou, G.Q.,
Jiang, W.W.,
Lai, K.L.,
Zheng, Y.P.,
Automatic Measurement of Spine Curvature on 3-D Ultrasound Volume
Projection Image With Phase Features,
MedImg(36), No. 6, June 2017, pp. 1250-1262.
IEEE DOI
1706
Biomedical measurement, Feature extraction, Image segmentation,
Imaging, Phase measurement, Ultrasonic imaging,
Ultrasonic variables measurement, 3-D ultrasound, Cobb angle,
Scoliosis, phase congruency, thresholding, volume, projection, imaging
BibRef
Debanné, P.[Philippe],
Ahmad, O.[Ola],
Parent, S.[Stefan],
Labelle, H.[Hubert],
Cheriet, F.[Farida],
A Novel Automatic Method to Evaluate Scoliotic Trunk Shape Changes in
Different Postures,
ICIAR17(455-462).
Springer DOI
1706
BibRef
Ahmad, O.[Ola],
Lombaert, H.[Herve],
Parent, S.[Stefan],
Labelle, H.[Hubert],
Dansereau, J.[Jean],
Cheriet, F.[Farida],
Longitudinal Scoliotic Trunk Analysis via Spectral Representation and
Statistical Analysis,
SeSAME16(79-91).
Springer DOI
1703
BibRef
Seoud, L.[Lama],
Adankon, M.M.[Mathias M.],
Labelle, H.[Hubert],
Dansereau, J.[Jean],
Cheriet, F.[Farida],
Towards Non Invasive Diagnosis of Scoliosis Using Semi-supervised
Learning Approach,
ICIAR10(II: 10-19).
Springer DOI
1006
BibRef
Mezghani, N.[Neila],
Phan, P.[Philippe],
Mitiche, A.[Amar],
Labelle, H.[Hubert],
de Guise, J.A.[Jacques A.],
A Computer-Aided Method for Scoliosis Fusion Level Selection by a
Topologicaly Ordered Self Organizing Kohonen Network,
ICPR10(4012-4015).
IEEE DOI
1008
BibRef
Li, H.[Hao],
Leow, W.K.[Wee Kheng],
Huang, C.H.[Chao-Hui],
Howe, T.S.[Tet Sen],
Modeling and Measurement of 3D Deformation of Scoliotic Spine Using 2D
X-ray Images,
CAIP09(647-654).
Springer DOI
0909
BibRef
Thériault, J.,
Cheriet, F.,
Guibault, F.,
Automatic Detection of the Back Valley on Scoliotic Trunk Using
Polygonal Surface Curvature,
ICIAR08(xx-yy).
Springer DOI
0806
BibRef
Doré, V.[Vincent],
Duong, L.[Luc],
Cheriet, F.[Farida],
Cheriet, M.[Mohamed],
Towards Segmentation of Pedicles on Posteroanterior X-Ray Views of
Scoliotic Patients,
ICIAR07(1028-1039).
Springer DOI
0708
BibRef
Patias, P.,
Stylianidis, E.,
Pateraki, M.,
Chrysanthou, Y.,
Contozis, C.,
Zavitsanakis, T.,
3D digital photogrammetric reconstructions for scoliosis screening,
IEVM06(xx-yy).
PDF File.
0609
BibRef
Benameur, S.,
Mignotte, M.,
Destrempes, F.,
de Guise, J.A.,
Estimation of mixtures of probabilistic PCA with stochastic EM for the
3d biplanar reconstruction of scoliotic rib cage,
ICIP04(V: 2949-2952).
IEEE DOI
0505
BibRef
Benameur, S.,
Mignotte, M.,
Parent, S.,
Labelle, H.,
Skalli, W.,
de Guise, J.A.,
A hierarchical statistical modeling approach for the unsupervised 3d
reconstruction of the scoliotic spine,
ICIP03(I: 561-564).
IEEE DOI
0312
BibRef
Earlier:
3D Biplanar Reconstruction of Scoliotic
Vertebrae Using Statistical Models,
CVPR01(II:577-582).
IEEE DOI
0110
BibRef
Ishikawa, S.,
Kosaka, H.,
Kato, K.,
Otsuka, Y.,
A Method of Analyzing a Shape with Potential Symmetry and Its
Application to Detecting Spinal Deformity,
CVRMed95(XX-YY)
BibRef
9500
Peuchot, B.,
Tanguy, A.,
Eude, M.,
Virtual Reality as an Operative Tool During Scoliosis Surgery,
CVRMed95(XX-YY)
BibRef
9500
Batouche, M.,
A Knowledge Based System for Diagnosing Spinal Deformations:
Moire Pattern Analysis and Interpretation,
ICPR92(I:591-594).
IEEE DOI
BibRef
9200
Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Medical Applications, Wrist Joints .