The nature of statistical learning theory
The nature of statistical learning theory
Image Based Regression Using Boosting Method
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Sharing Visual Features for Multiclass and Multiview Object Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Active Scheduling of Organ Detection and Segmentation in Whole-Body Medical Images
MICCAI '08 Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I
Automatic Labeling of Anatomical Structures in MR FastView Images Using a Statistical Atlas
MICCAI '08 Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I
International Journal of Computer Vision
Age regression from faces using random forests
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Entangled decision forests and their application for semantic segmentation of CT images
IPMI'11 Proceedings of the 22nd international conference on Information processing in medical imaging
Real time head pose estimation from consumer depth cameras
DAGM'11 Proceedings of the 33rd international conference on Pattern recognition
A discriminative-generative model for detecting intravenous contrast in CT images
MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part III
Fast multiple organ detection and localization in whole-body MR Dixon sequences
MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part III
MLMI'11 Proceedings of the Second international conference on Machine learning in medical imaging
Automated detection of major thoracic structures with a novel online learning method
MLMI'11 Proceedings of the Second international conference on Machine learning in medical imaging
3D segmentation in CT imagery with conditional random fields and histograms of oriented gradients
MLMI'11 Proceedings of the Second international conference on Machine learning in medical imaging
Foundations and Trends® in Computer Graphics and Vision
Semantic analysis of 3d anatomical medical images for sub-image retrieval
MCBR-CDS'11 Proceedings of the Second MICCAI international conference on Medical Content-Based Retrieval for Clinical Decision Support
A hybrid segmentation of abdominal CT images
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part II
Evolutionary Hough Games for coherent object detection
Computer Vision and Image Understanding
Robust and accurate shape model fitting using random forest regression voting
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VII
An introduction to random forests for multi-class object detection
Proceedings of the 15th international conference on Theoretical Foundations of Computer Vision: outdoor and large-scale real-world scene analysis
Joint classification-regression forests for spatially structured multi-object segmentation
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part IV
Random Forests for Real Time 3D Face Analysis
International Journal of Computer Vision
A Performance Evaluation of Volumetric 3D Interest Point Detectors
International Journal of Computer Vision
Fast anatomical structure localization using top-down image patch regression
MCV'12 Proceedings of the Second international conference on Medical Computer Vision: recognition techniques and applications in medical imaging
MCV'12 Proceedings of the Second international conference on Medical Computer Vision: recognition techniques and applications in medical imaging
Local context priors for object proposal generation
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
Face parts localization using structured-output regression forests
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part II
Rapid multi-organ segmentation using context integration and discriminative models
IPMI'13 Proceedings of the 23rd international conference on Information Processing in Medical Imaging
Eye pupil localization with an ensemble of randomized trees
Pattern Recognition
A novel online boosting algorithm for automatic anatomy detection
Machine Vision and Applications
Dynamic random regression forests for real-time head pose estimation
Machine Vision and Applications
Machine Vision and Applications
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This paper proposes multi-class random regression forests as an algorithm for the efficient, automatic detection and localization of anatomical structures within three-dimensional CT scans. Regression forests are similar to the more popular classification forests, but trained to predict continuous outputs. We introduce a new, continuous parametrization of the anatomy localization task which is effectively addressed by regression forests. This is shown to be a more natural approach than classification. A single pass of our probabilistic algorithm enables the direct mapping from voxels to organ location and size; with training focusing on maximizing the confidence of output predictions. As a by-product, our method produces salient anatomical landmarks; i.e. automatically selected "anchor" regions which help localize organs of interest with high confidence. Quantitative validation is performed on a database of 100 highly variable CT scans. Localization errors are shown to be lower (and more stable) than those from global affine registration approaches. The regressor's parallelism and the simplicity of its context-rich visual features yield typical runtimes of only 1s. Applications include semantic visual navigation, image tagging for retrieval, and initializing organ-specific processing.