Shape and Texture Modeling of Hip Bone Density for Fracture Discrimination

J.A. Shepherd, A.P. Mahmoudzadeh, B. Fan, L. Chaplin, T. Cootes, J.A. Cauley, P. Cawthon, S. Cummings, F. Liu, C. Lindner, R. Murphy, M. Visser and A. Schwartz

Proceedings of the 2017 Annual Meeting of the American Society for Bone and Mineral Research (ASBMR 2017), Colorado Convention Center, Denver, USA. Journal of Bone and Mineral Research, Volume 32, page S178, 2017. doi:10.1002/jbmr.3363 (Abstract) [Poster]

Adaptable landmark localisation: applying model transfer learning to a shape model matching system

C. Lindner, D. Waring, B. Thiruvenkatachari, K. O'Brien and T. Cootes.
Proceedings of the 20th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2017), Quebec City, Quebec, Canada. Springer-Verlag Lecture Notes in Computer Science 10433, pages 144-151, 2017. (Full Paper) [Poster]

Automated Image Interpretation Using Statistical Shape Models

C. Lindner.
Chapter 1 in “Statistical Shape and Deformation Analysis: Methods, Implementation and Applications”,  G. Zheng, S. Li and G. Szekely, editors. Academic Press, pages 3-32, 2017. doi:
10.1016/B978-0-12-810493-4.00002-X

Automatic Annotation of Radiographs using Random Forest Regression Voting for Building Statistical Models for Skeletal Maturity

S.A. Adeshina, C. Lindner and T.F. Cootes.
International Journal of Computer Techniques, Vol. 4, No. 1, 2017.

Prediction of risk for radiographic hip osteoarthritis in subjects with early osteoarthritis of hip or knee

W.P. Gielis, H.H. Weinans, W.E. van Spil, T.F. Cootes, P.A. de Jong and C. Lindner.
Proceedings of the 2017 Osteoarthritis Research Society International World Congress on Osteoarthritis (OARSI 2017), Caesar's Palace, Las Vegas, USA. Osteoarthritis and Cartilage, Volume 25, Suppl. 1, page S12, 2017. doi:
10.1016/j.joca.2017.02.036 (Abstract) [Talk]

New software to automatically outline bones in OPG

B. Sasikala, V.B. Krishnakumar Raja, T.F. Cootes and C. Lindner.
Proceedings of the 41st Annual Congress of Association of Oral and Maxillofacial Surgeons of India (AOMSI 2016), Gujarat, India. Congress Handbook, page 167, OP-TM7, 2016. (Abstract) [Talk]

Fully Automatic System for Accurate Localisation and Analysis of Cephalometric Landmarks in Lateral Cephalograms

C. Lindner, C-W. Wang, C-T. Huang, C-H. Li, S-W. Chang and T. Cootes.
Scientific Reports, Vol. 6, Art. Nr. 33581, 2016. doi:
10.1038/srep33581 

Multi-point Regression Voting for Shape Model Matching

P.A. Bromiley, C. Lindner, J. Thomson, M. Wrigley and T.F. Cootes.
Proceedings of the 20th International Conference On Medical Imaging Understanding and Analysis (MIUA) 2016, Loughborough, UK, 2016. Elsevier Procedia Computer Science, Vol. 90, pages 48-53, 2016. doi:10.1016/j.procs.2016.07.009 (Full Paper) [Talk]

Fully automated radiographic knee shape analysis of the OAI dataset: Is knee shape asymmetry an early indicator of unilateral knee OA?

C. Lindner and T.F. Cootes.
Proceedings of the 9th International Workshop on Osteoarthritis Imaging (IWOAI) 2016, Oulu, Finland. Workshop Handbook, page 57, 2016. www.iwoai.org/iwoai-workshops (Abstract) [Poster]

A benchmark for comparison of dental radiography analysis algorithms

C.-W. Wang, C.-T. Huang, J.-H. Lee, C.-H. Li, S.-W. Chang, M.-J. Siao, T.-M. Lai, B. Ibragimov, T. Vrtovec, O. Ronneberger, P. Fischer, T.F. Cootes and C. Lindner.
Medical Image Analysis, Vol. 31, pages 63-76, 2016. doi:
10.1016/j.media.2016.02.004

BoneFinder: Automated Bone Shape and Appearance Analysis in 2D Radiographs

C. Lindner.
Invited talk at Berliner Colloquium für Wissenschaftliche Visualisierung, Konrad-Zuse-Zentrum für Informationstechnik Berlin (ZIB), Berlin, Germany. November, 2015. [Talk]

Learning-based Shape Model Matching: Training Accurate Models with Minimal Manual Input

C. Lindner, J. Thomson, The arcOGEN Consortium and T.F. Cootes.
Proceedings of the 18th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2015, Part III), Munich, Germany. Springer-Verlag Lecture Notes in Computer Science 9351, pages 580-587, 2015. (Full Paper) [Poster]

Fully Automatic Cephalometric Evaluation using Random Forest Regression-Voting

C. Lindner and T.F. Cootes.
Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI) 2015 – Grand Challenges in Dental X-ray Image Analysis – Automated Detection and Analysis for Diagnosis in Cephalometric X-ray Image, New York, USA, 2015. (Full Paper) [Talk] [1st Prize]