Active shape models—their training and application
Computer Vision and Image Understanding
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
Active Appearance Models Revisited
International Journal of Computer Vision
Pictorial Structures for Object Recognition
International Journal of Computer Vision
Estimation and Marginalization Using the Kikuchi Approximation Methods
Neural Computation
Keypoint Recognition Using Randomized Trees
IEEE Transactions on Pattern Analysis and Machine Intelligence
Object recognition with uncertain geometry and uncertain part detection
Computer Vision and Image Understanding
Learning of graphical models and efficient inference for object class recognition
DAGM'06 Proceedings of the 28th conference on Pattern Recognition
Robust active shape models: a robust, generic and simple automatic segmentation tool
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part II
Generation of curved planar reformations from magnetic resonance images of the spine
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part II
Lumbar Disc Localization and Labeling with a Probabilistic Model on Both Pixel and Object Features
MICCAI '08 Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I
A Study of Parts-Based Object Class Detection Using Complete Graphs
International Journal of Computer Vision
MLMI'10 Proceedings of the First international conference on Machine learning in medical imaging
Detection of 3D spinal geometry using iterated marginal space learning
MCV'10 Proceedings of the 2010 international MICCAI conference on Medical computer vision: recognition techniques and applications in medical imaging
Graph cuts with invariant object-interaction priors: application to intervertebral disc segmentation
IPMI'11 Proceedings of the 22nd international conference on Information processing in medical imaging
Personalization of pictorial structures for anatomical landmark localization
IPMI'11 Proceedings of the 22nd international conference on Information processing in medical imaging
Localization of the Lumbar discs using machine learning and exact probabilistic inference
MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part III
Automated identification of thoracolumbar vertebrae using orthogonal matching pursuit
MLMI'11 Proceedings of the Second international conference on Machine learning in medical imaging
Automated vertebra identification from x-ray images
ICIAR'10 Proceedings of the 7th international conference on Image Analysis and Recognition - Volume Part II
Robust MR spine detection using hierarchical learning and local articulated model
MICCAI'12 Proceedings of the 15th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Automated identification of thoracolumbar vertebrae using orthogonal matching pursuit
Machine Vision and Applications
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The detection and extraction of complex anatomical structures usually involves a trade-off between the complexity of local feature extraction and classification, and the complexity and performance of the subsequent structural inference from the viewpoint of combinatorial optimization. Concerning the latter, computationally efficient methods are of particular interest that return the globally-optimal structure. We present an efficient method for part-based localization of anatomical structures which embeds contextual shape knowledge in a probabilistic graphical model. It allows for robust detection even when some of the part detections are missing. The application scenario for our statistical evaluation is spine detection and labeling in magnetic resonance images.