176 related articles for article (PubMed ID: 30931618)
1. Pair-wise vs group-wise registration in statistical shape model construction: representation of physiological and pathological variability of bony surface morphology.
Cerveri P; Belfatto A; Manzotti A
Comput Methods Biomech Biomed Engin; 2019 May; 22(7):772-787. PubMed ID: 30931618
[TBL] [Abstract][Full Text] [Related]
2. 2D/3D reconstruction of the distal femur using statistical shape models addressing personalized surgical instruments in knee arthroplasty: A feasibility analysis.
Cerveri P; Sacco C; Olgiati G; Manzotti A; Baroni G
Int J Med Robot; 2017 Dec; 13(4):. PubMed ID: 28387436
[TBL] [Abstract][Full Text] [Related]
3. Representative 3D shape of the distal femur, modes of variation and relationship with abnormality of the trochlear region.
Cerveri P; Belfatto A; Manzotti A
J Biomech; 2019 Sep; 94():67-74. PubMed ID: 31378340
[TBL] [Abstract][Full Text] [Related]
4. Stacked sparse autoencoder networks and statistical shape models for automatic staging of distal femur trochlear dysplasia.
Cerveri P; Belfatto A; Baroni G; Manzotti A
Int J Med Robot; 2018 Dec; 14(6):e1947. PubMed ID: 30073759
[TBL] [Abstract][Full Text] [Related]
5. Statistical shape model-based reconstruction of a scaled, patient-specific surface model of the pelvis from a single standard AP x-ray radiograph.
Zheng G
Med Phys; 2010 Apr; 37(4):1424-39. PubMed ID: 20443464
[TBL] [Abstract][Full Text] [Related]
6. Unbiased groupwise registration for shape prediction of foot scans.
Zhu J; Wang X; Ma S; Fan J; Song S; Ma X; Ai D; Song H; Jiang Y; Wang Y; Yang J
Med Biol Eng Comput; 2019 Sep; 57(9):1985-1998. PubMed ID: 31325102
[TBL] [Abstract][Full Text] [Related]
7. Development of predictive statistical shape models for paediatric lower limb bones.
Shi B; Barzan M; Nasseri A; Carty CP; Lloyd DG; Davico G; Maharaj JN; Diamond LE; Saxby DJ
Comput Methods Programs Biomed; 2022 Oct; 225():107002. PubMed ID: 35882107
[TBL] [Abstract][Full Text] [Related]
8. Group-wise similarity registration of point sets using Student's t-mixture model for statistical shape models.
Ravikumar N; Gooya A; Çimen S; Frangi AF; Taylor ZA
Med Image Anal; 2018 Feb; 44():156-176. PubMed ID: 29248842
[TBL] [Abstract][Full Text] [Related]
9. Group-wise registration of point sets for statistical shape models.
Rasoulian A; Rohling R; Abolmaesumi P
IEEE Trans Med Imaging; 2012 Nov; 31(11):2025-34. PubMed ID: 22692899
[TBL] [Abstract][Full Text] [Related]
10. A point-selection algorithm based on spatial-stiffness analysis of rigid registration.
Ma B; Ellis RE
Comput Aided Surg; 2005 Jul; 10(4):209-23. PubMed ID: 16393790
[TBL] [Abstract][Full Text] [Related]
11. Restoration of the Patient-Specific Anatomy of the Proximal and Distal Parts of the Humerus: Statistical Shape Modeling Versus Contralateral Registration Method.
Vlachopoulos L; Lüthi M; Carrillo F; Gerber C; Székely G; Fürnstahl P
J Bone Joint Surg Am; 2018 Apr; 100(8):e50. PubMed ID: 29664855
[TBL] [Abstract][Full Text] [Related]
12. Computation of a probabilistic statistical shape model in a maximum-a-posteriori framework.
Hufnagel H; Pennec X; Ehrhardt J; Ayache N; Handels H
Methods Inf Med; 2009; 48(4):314-9. PubMed ID: 19562228
[TBL] [Abstract][Full Text] [Related]
13. Reconstruction of the lower limb bones from digitised anatomical landmarks using statistical shape modelling.
Nolte D; Ko ST; Bull AMJ; Kedgley AE
Gait Posture; 2020 Mar; 77():269-275. PubMed ID: 32092603
[TBL] [Abstract][Full Text] [Related]
14. 2D-3D shape reconstruction of the distal femur from stereo X-ray imaging using statistical shape models.
Baka N; Kaptein BL; de Bruijne M; van Walsum T; Giphart JE; Niessen WJ; Lelieveldt BP
Med Image Anal; 2011 Dec; 15(6):840-50. PubMed ID: 21600836
[TBL] [Abstract][Full Text] [Related]
15. Predicting Knee Joint Instability Using a Tibio-Femoral Statistical Shape Model.
Cerveri P; Belfatto A; Manzotti A
Front Bioeng Biotechnol; 2020; 8():253. PubMed ID: 32363179
[TBL] [Abstract][Full Text] [Related]
16. Fully automatic segmentation of the femur from 3D-CT images using primitive shape recognition and statistical shape models.
Ben Younes L; Nakajima Y; Saito T
Int J Comput Assist Radiol Surg; 2014 Mar; 9(2):189-96. PubMed ID: 24101434
[TBL] [Abstract][Full Text] [Related]
17. Minimally invasive registration for computer-assisted orthopedic surgery: combining tracked ultrasound and bone surface points via the P-IMLOP algorithm.
Billings S; Kang HJ; Cheng A; Boctor E; Kazanzides P; Taylor R
Int J Comput Assist Radiol Surg; 2015 Jun; 10(6):761-71. PubMed ID: 25895079
[TBL] [Abstract][Full Text] [Related]
18. Atlas-based segmentation of pathological knee joints.
Heinze P; Meister D; Kober R; Raczkowsky J; Wörn H
Stud Health Technol Inform; 2002; 85():198-203. PubMed ID: 15458086
[TBL] [Abstract][Full Text] [Related]
19. Comparison between different screening strategies to determine the statistical shape model of the pelvises for implant design.
Shih KS; Hsu CP; Liu CW; Wang LL; Hou SM; Lin SC
Comput Methods Programs Biomed; 2019 Sep; 178():265-273. PubMed ID: 31416554
[TBL] [Abstract][Full Text] [Related]
20. Integration of cortical thickness data in a statistical shape model of the scapula.
Pitocchi J; Wirix-Speetjens R; van Lenthe GH; Pérez MÁ
Comput Methods Biomech Biomed Engin; 2020 Aug; 23(10):642-648. PubMed ID: 32364819
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]