Robust and Accurate Shape Model Matching Using Random Forest Regression-Voting von Lindner, Claudia, Bromiley, Paul A., Ionita, Mircea C., Cootes, Tim F.

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Defect Detection and Classification by Training a Generic Convolutional Neural Network Encoder von Dong, Xinghui, Taylor, Christopher J., Cootes, Tim F.

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A benchmark for comparison of dental radiography analysis algorithms von Wang, Ching-Wei, Huang, Cheng-Ta, Lee, Jia-Hong, Li, Chung-Hsing, Chang, Sheng-Wei, Siao, Ming-Jhih, Lai, Tat-Ming, Ibragimov, Bulat, Vrtovec, Tomaž, Ronneberger, Olaf, Fischer, Philipp, Cootes, Tim F., Lindner, Claudia

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Defect Classification and Detection Using a Multitask Deep One-Class CNN von Dong, Xinghui, Taylor, Christopher J., Cootes, Tim F.

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Automatic aerospace weld inspection using unsupervised local deep feature learning von Dong, Xinghui, Taylor, Chris J., Cootes, Tim F.

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A Random Forest-Based Automatic Inspection System for Aerospace Welds in X-Ray Images von Dong, Xinghui, Taylor, Christopher J., Cootes, Tim F.

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Fully Automatic System for Accurate Localisation and Analysis of Cephalometric Landmarks in Lateral Cephalograms von Lindner, Claudia, Wang, Ching-Wei, Huang, Cheng-Ta, Li, Chung-Hsing, Chang, Sheng-Wei, Cootes, Tim F.

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Predicting the mechanical hip-knee-ankle angle accurately from standard knee radiographs: a cross-validation experiment in 100 patients von Gielis, Willem Paul, Rayegan, Hassan, Arbabi, Vahid, Ahmadi Brooghani, Seyed Y, Lindner, Claudia, Cootes, Tim F, de Jong, Pim A, Weinans, H, Custers, Roel J H

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ChoiceNet: CNN learning through choice of multiple feature map representations von Rayhan, Farshid, Galata, Aphrodite, Cootes, Tim F.

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Small Defect Detection Using Convolutional Neural Network Features and Random Forests von Dong, Xinghui, Taylor, Chris J., Cootes, Tim F.

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Author Correction: Fully Automatic System for Accurate Localisation and Analysis of Cephalometric Landmarks in Lateral Cephalograms von Lindner, Claudia, Wang, Ching-Wei, Huang, Cheng-Ta, Li, Chung-Hsing, Chang, Sheng-Wei, Cootes, Tim F.

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A minimum description length approach to statistical shape modeling von Davies, R.H., Twining, C.J., Cootes, T.F., Waterton, J.C., Taylor, C.J.

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Automatic feature localisation with constrained local models von Cristinacce, David, Cootes, Tim

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Indexed distribution analysis for improved significance testing of spatially heterogeneous parameter maps: Application to dynamic contrast-enhanced MRI biomarkers von Rose, Chris J., O'Connor, James P. B., Cootes, Tim F., Taylor, Chris J., Jayson, Gordon C., Parker, Geoff J. M., Waterton, John C.

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Accurate Bone Segmentation in 2D Radiographs Using Fully Automatic Shape Model Matching Based On Regression-Voting von Lindner, Claudia, Thiagarajah, Shankar, Wilkinson, J. Mark, Wallis, Gillian A., Cootes, Tim F.

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Quantitative Vertebral Fracture Detection on DXA Images Using Shape and Appearance Models von Roberts, Martin, MA, Cootes, Tim, PhD, Pacheco, Elisa, MD, PhD, Adams, Judith, MBBS

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A Unified Information-Theoretic Approach to Groupwise Non-rigid Registration and Model Building von Twining, Carole J., Cootes, Tim, Marsland, Stephen, Petrovic, Vladimir, Schestowitz, Roy, Taylor, Chris J.

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Building optimal 2D statistical shape models von Davies, Rhodri H, Twining, Carole J, Daniel Allen, P, Cootes, Tim F, Taylor, Chris J

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Multiple target marker tracking for real-time, accurate, and robust rigid body motion tracking of the head for brain PET von Noonan, Philip J., Anton-Rodriguez, Jose M., Cootes, Tim F., Hallett, William A., Hinz, Rainer

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Segmentation of Lumbar Vertebrae Using Part-Based Graphs and Active Appearance Models von Roberts, Martin G., Cootes, Tim F., Pacheco, Elisa, Oh, Teik, Adams, Judith E.

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