Craniosynostosis. Diagnosis, evaluation and management., Journal of Medical Genetics, vol.37, issue.9, pp.727-727, 2000. ,
DOI : 10.1136/jmg.37.9.727
Craniosynostosis, Pediatric Neurology, vol.53, issue.5, pp.394-401, 2015. ,
DOI : 10.1016/j.pediatrneurol.2015.07.006
The clinical management of craniosynostosis, 2004. ,
Review of quantitative outcome analysis of cranial morphology in craniosynostosis, Journal of Plastic, Reconstructive & Aesthetic Surgery, vol.69, issue.11, 2016. ,
DOI : 10.1016/j.bjps.2016.08.006
The Management of Nonsyndromic, Isolated Sagittal Synostosis, Journal of Craniofacial Surgery, vol.27, issue.2, pp.299-304, 2016. ,
DOI : 10.1097/SCS.0000000000002363
Nonsyndromic Craniosynostosis and Deformational Head Shape Disorders, Facial Plastic Surgery Clinics of North America, vol.24, issue.4, pp.517-530, 2016. ,
DOI : 10.1016/j.fsc.2016.06.007
Guideline for Care of Patients With the Diagnoses of Craniosynostosis, Journal of Craniofacial Surgery, vol.26, issue.6, pp.1735-1807, 2015. ,
DOI : 10.1097/SCS.0000000000002016
Surgical treatment of single-suture craniosynostosis: an argument for quantitative methods to evaluate cosmetic outcomes, Journal of Neurosurgery: Pediatrics, vol.6, issue.2, pp.193-197, 2010. ,
DOI : 10.3171/2010.5.PEDS09313
Describing Crouzon and Pfeiffer syndrome based on principal component analysis, Journal of Cranio-Maxillofacial Surgery, vol.43, issue.4, pp.528-536, 2015. ,
DOI : 10.1016/j.jcms.2015.02.005
New insights into the relationship between suture closure and craniofacial dysmorphology in sagittal nonsyndromic craniosynostosis, Journal of Anatomy, vol.13, pp.85-96, 2010. ,
DOI : 10.1111/j.1469-7580.2005.00475.x
Using principal component analysis to describe the Apert skull deformity and simulate its correction, Journal of Plastic, Reconstructive & Aesthetic Surgery, vol.65, issue.12, pp.1750-1752, 2012. ,
DOI : 10.1016/j.bjps.2012.07.007
Unilateral and bilateral expression of a quantitative trait: asymmetry and symmetry in coronal craniosynostosis, Journal of Experimental Zoology Part B: Molecular and Developmental Evolution, vol.126, issue.2, pp.109-122, 2012. ,
DOI : 10.1542/peds.2009-3491
Personalized assessment of craniosynostosis via statistical shape modeling, Medical Image Analysis, vol.18, issue.4, pp.635-646, 2014. ,
DOI : 10.1016/j.media.2014.02.008
Statistical Shape Analysis of Metopic Craniosynostosis: A Preliminary Study, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society, pp.4066-4069, 2006. ,
DOI : 10.1109/IEMBS.2006.260032
Statistical analysis of cranial measurements?determination of indices for assessing skull shape in patients with isolated craniosynostosis (eds) Innovations in biomedical engineering, pp.132-144978, 2017. ,
Skull retrieval for craniosynostosis using sparse logistic regression models Medical content-based retrieval for clinical decision support, pp.10-1007, 2013. ,
DOI : 10.1007/978-3-642-36678-9_4
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4138604
A combinatorial method for 3D landmark-based morphometry: application to the study of coronal craniosynostosis (eds) Medical image computing and computer-assisted intervention , MICCAI 2012, Lecture notes in computer science, vol.7512, pp.10-1007, 2012. ,
What???s in a Name? Accurately Diagnosing Metopic Craniosynostosis Using a Computational Approach, Plastic and Reconstructive Surgery, vol.137, issue.1, pp.205-213, 2016. ,
DOI : 10.1097/PRS.0000000000001938
Computer-based quantitative assessment of skull morphology for craniosynostosis Clinical image-based procedures: from planning to intervention. Lecture notes in computer science, pp.10-1007, 2012. ,
Three-Dimensional Handheld Scanning to Quantify Head-Shape Changes in Spring-Assisted Surgery for Sagittal Craniosynostosis, Journal of Craniofacial Surgery, vol.27, issue.8, pp.2117-2123, 2016. ,
DOI : 10.1097/SCS.0000000000003108
Combined soft and skeletal tissue modelling of normal and??dysmorphic midface postnatal development, Journal of Cranio-Maxillofacial Surgery, vol.44, issue.11, pp.1777-1785, 2016. ,
DOI : 10.1016/j.jcms.2016.08.020
Assessing the corrective effects of facial bipartition distraction in Apert syndrome using geometric morphometrics, Journal of Plastic, Reconstructive & Aesthetic Surgery, vol.67, issue.6, pp.151-161, 2014. ,
DOI : 10.1016/j.bjps.2014.02.019
Quantifying the effect of corrective surgery for trigonocephaly: A non-invasive, non-ionizing method using three-dimensional handheld scanning and statistical shape modelling, Journal of Cranio-Maxillofacial Surgery, vol.45, issue.3, pp.387-394, 2017. ,
DOI : 10.1016/j.jcms.2017.01.002
Virtual Surgical Planning in Craniofacial Surgery, Seminars in Plastic Surgery, vol.28, issue.03, pp.150-158, 2014. ,
DOI : 10.1055/s-0034-1384811
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4154978
Statistical Analysis of Interactive Surgical Planning Using Shape Descriptors in Mandibular Reconstruction with Fibular Segments, PLOS ONE, vol.39, issue.4, 2016. ,
DOI : 10.1371/journal.pone.0161524.s001
Surgical treatment of craniosynostosis based on a statistical 3D- shape model: first clinical application, Int J Comput Assist Radiol Surg, vol.1, pp.253-255, 2006. ,
Planning of mandibular reconstructions based on statistical shape models, International Journal of Computer Assisted Radiology and Surgery, vol.27, issue.17, pp.99-112, 2017. ,
DOI : 10.1016/j.biomaterials.2006.01.050
Volumetric Fibular Transfer Planning With Shape-Based Indicators in Mandibular Reconstruction, IEEE Journal of Biomedical and Health Informatics, vol.19, issue.2, pp.581-589, 2015. ,
DOI : 10.1109/JBHI.2014.2320720
Application of CAD/CAM Prefabricated Age-Matched Templates in Cranio-Orbital Remodeling in Craniosynostosis, Journal of Craniofacial Surgery, vol.22, issue.5, pp.1810-1813, 2011. ,
DOI : 10.1097/SCS.0b013e31822e8045
Surgical outcomes in craniosynostosis reconstruction: The use of prefabricated templates in cranial vault remodelling, Journal of Plastic, Reconstructive & Aesthetic Surgery, vol.67, issue.1, pp.9-16, 2014. ,
DOI : 10.1016/j.bjps.2013.09.009
Computer-assisted virtual planning and surgical template fabrication for frontoorbital advancement, Neurosurgical Focus, vol.38, issue.5, 2015. ,
DOI : 10.3171/2015.3.FOCUS14852
Computer-Aided Design and Manufacturing in Craniomaxillofacial Surgery, Journal of Craniofacial Surgery, vol.23, issue.1, pp.288-293, 2012. ,
DOI : 10.1097/SCS.0b013e318241ba92
Frame-based cranial reconstruction, Journal of Neurosurgery: Pediatrics, vol.13, issue.3, pp.319-323, 2013. ,
DOI : 10.3171/2013.11.PEDS1369
Custom implant design for large cranial defects, International Journal of Computer Assisted Radiology and Surgery, vol.21, issue.1, pp.2217-2230, 2016. ,
DOI : 10.1145/571647.571650
Anatomically constrained deformation for design of cranial implant: methodology and validation Sporring J (eds) Medical image computing and computer-assisted intervention, MICCAI 2006 Spring-assisted correction of sagittal suture synostosis, Lecture notes in computer science Mathijssen IMJ Childs Nerv Syst ChNS Off J Int Soc Pediatr Neurosurg, vol.4190, issue.28, pp.1347-1351, 2006. ,
Spring Assisted Cranioplasty for the Correction of Non-Syndromic Scaphocephaly: A Quantitative Analysis of 100 consecutive cases, British Journal of Oral and Maxillofacial Surgery, vol.54, issue.10, p.3465, 2017. ,
DOI : 10.1016/j.bjoms.2016.11.284
The Evolving Role of Springs in Craniofacial Surgery: The First 100 Clinical Cases, Plastic and Reconstructive Surgery, vol.121, issue.2, pp.545-554, 2008. ,
DOI : 10.1097/01.prs.0000297638.76602.de
Sagittal Craniosynostosis: Surgical Outcomes and Long-Term Growth, Plastic and Reconstructive Surgery, vol.117, issue.2, pp.532-541, 2006. ,
DOI : 10.1097/01.prs.0000200774.31311.09
The Aesthetic Outcome of Surgical Correction for Sagittal Synostosis Can Be Reliably Scored by a Novel Method of Preoperative and Postoperative Visual Assessment, Plastic and Reconstructive Surgery, vol.134, issue.5, pp.775-786, 2014. ,
DOI : 10.1097/PRS.0000000000000633
Scaphocephaly: Part I, Journal of Craniofacial Surgery, vol.20, issue.Suppl 2, pp.1837-1842, 2009. ,
DOI : 10.1097/SCS.0b013e3181b6c4ea
A statistical shape modelling framework to extract 3D shape biomarkers from medical imaging data: assessing arch morphology of repaired coarctation of the aorta, BMC Med Imaging, 2016. ,
URL : https://hal.archives-ouvertes.fr/hal-01335147
A Statistical Model for Quantification and Prediction of Cardiac Remodelling: Application to Tetralogy of Fallot, IEEE Transactions on Medical Imaging, vol.30, issue.9, pp.1605-1616, 2011. ,
DOI : 10.1109/TMI.2011.2135375
URL : https://hal.archives-ouvertes.fr/inria-00616185
Statistical models of sets of curves and surfaces based on currents, Medical Image Analysis, vol.13, issue.5, pp.793-808, 2009. ,
DOI : 10.1016/j.media.2009.07.007
URL : https://hal.archives-ouvertes.fr/hal-00816051
Overview and Recent Advances in Partial Least Squares, pp.34-51, 2006. ,
DOI : 10.1002/(SICI)1097-0193(1997)5:4<254::AID-HBM9>3.0.CO;2-2
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.85.7735
How successful is successful? Aortic arch shape after successful aortic coarctation repair correlates with left ventricular function, The Journal of Thoracic and Cardiovascular Surgery, vol.153, issue.2, 2017. ,
DOI : 10.1016/j.jtcvs.2016.09.018
URL : https://hal.archives-ouvertes.fr/hal-01387297
Increasing Concern Regarding Computed Tomography Irradiation in Craniofacial Surgery, Plastic and Reconstructive Surgery, vol.123, issue.4, 2009. ,
DOI : 10.1097/PRS.0b013e31819e26d5
Are routine preoperative CT scans necessary in the management of single suture craniosynostosis?, British Journal of Neurosurgery, vol.16, issue.4, pp.348-354, 2002. ,
DOI : 10.1080/0268869021000007560
Computing Large Deformation Metric Mappings via Geodesic Flows of Diffeomorphisms, International Journal of Computer Vision, vol.61, issue.2, pp.139-157, 2005. ,
DOI : 10.1023/B:VISI.0000043755.93987.aa
Surface matching via currents Information processing in medical imaging, IPMI 2005. Lecture notes in computer science, 2005. ,
DOI : 10.1007/11505730_32
URL : http://cis.jhu.edu/software/lddmm-surface/ipmi05.pdf
Comparison of the endocranial ontogenies between chimpanzees and bonobos via temporal regression and spatiotemporal registration, Journal of Human Evolution, vol.62, issue.1, pp.74-88, 2012. ,
DOI : 10.1016/j.jhevol.2011.10.004
URL : https://hal.archives-ouvertes.fr/hal-00816048
A non-parametric statistical shape model for assessment of the surgically repaired aortic arch in coarctation of the aorta: how normal is abnormal? (eds) Statistical atlases and computational models of the heart: imaging and modelling challenges, pp.21-29, 2015. ,
ParaView: an end-user tool for large data visualization. Visualization handbook, pp.Amster- dam, 2005. ,
An image-based modeling framework for patient-specific computational hemodynamics, Medical & Biological Engineering & Computing, vol.29, issue.3, pp.1097-1112, 2008. ,
DOI : 10.1615/CritRevBiomedEng.v26.i4.10
Residuals and influence in regression, 1982. ,
Spring-mediated sagittal craniosynostosis treatment at the Children???s Hospital of Philadelphia: technical notes and literature review, Neurosurgical Focus, vol.38, issue.5, 2015. ,
DOI : 10.3171/2015.3.FOCUS153
Delayed Sagittal Sinus Tear, Journal of Craniofacial Surgery, vol.23, issue.5, pp.1382-1384, 2012. ,
DOI : 10.1097/SCS.0b013e31825431a7
CARS 2016-computer assisted radiology and surgery proceedings of the 30th International Congress and Exhibition, Int J Comput Assist Radiol Surg, vol.11, issue.1, pp.21-2593, 2016. ,