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IPMI
2007
Springer
13 years 11 months ago
Spine Detection and Labeling Using a Parts-Based Graphical Model
Abstract. The detection and extraction of complex anatomical structures usually involves a trade-off between the complexity of local feature extraction and classification, and th...
Stefan Schmidt, Jörg H. Kappes, Martin Bergth...
IPMI
2009
Springer
14 years 5 months ago
Fully-Automated White Matter Hyperintensity Detection With Anatomical Prior Knowledge and Without FLAIR
This paper presents a method for detection of cerebral white matter hyperintensities (WMH) based on run-time PD-, T1-, and T2weighted structural magnetic resonance (MR) images of t...
Charles DeCarli, Christopher Schwarz, Evan Fletche...
ECCV
1998
Springer
14 years 6 months ago
Multi-Step Procedures for the Localization of 2D and 3D Point Landmarks and Automatic ROI Size Selection
In this contribution, we are concerned with the detection and re ned localization of 3D point landmarks. We propose multi-step di erential procedures for subvoxel localization of 3...
Sönke Frantz, Karl Rohr, H. Siegfried Stiehl
MICCAI
2004
Springer
14 years 5 months ago
Landmark-Driven, Atlas-Based Segmentation of Mouse Brain Tissue Images Containing Gene Expression Data
To better understand the development and function of the mammalian brain, researchers have begun to systematically collect a large number of gene expression patterns throughout the...
Ioannis A. Kakadiaris, Musodiq Bello, Shiva Arunac...
TMI
2011
147views more  TMI 2011»
12 years 11 months ago
Labeling of Lumbar Discs Using Both Pixel- and Object-Level Features With a Two-Level Probabilistic Model
Abstract—Backbone anatomical structure detection and labeling is a necessary step for various analysis tasks of the vertebral column. Appearance, shape and geometry measurements ...
Raja' S. Alomari, Jason J. Corso, Vipin Chaudhary