Distinct Grey Matter Alterations in Untreated Mild to Moderate Chronic Low Back Pain: A Longitudinal Magnetic Resonance Imaging Study. [PDF]
Sean M +8 more
europepmc +1 more source
Rootlets-based registration to the PAM50 spinal cord template. [PDF]
Bédard S +4 more
europepmc +1 more source
Exploring fern pathosystems and immune receptors to bridge gaps in plant immunity. [PDF]
Castel B +6 more
europepmc +1 more source
Training and validation of a deep learning U-net architecture general model for automated segmentation of inner ear from CT. [PDF]
Lim J +5 more
europepmc +1 more source
Rapid, without focus stacking, 3D photogrammetric digitization of cockroaches. [PDF]
Berger J +4 more
europepmc +1 more source
Quantitative imaging outperforms No-reflow in predicting functional outcomes in a translational stroke model. [PDF]
Debatisse J +16 more
europepmc +1 more source
Targeting Melanin Heterogeneity in Metastatic Melanoma: A Dual-Tumour Mouse Melanoma Model. [PDF]
Delmas M +14 more
europepmc +1 more source
Related searches:
3D manipulation of motion imagery
Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101), 2002We present a set of automatic methods for the recovery and refinement of 3D scene geometry and camera poses from motion imagery. First, we present a two-frame "direct" method, which simultaneously estimates both relative pose between the cameras and 3D scene geometry using information from the images alone.
Rakesh Kumar 0001 +4 more
openaire +1 more source
3D-segmentation and display of tomographic imagery
[1988 Proceedings] 9th International Conference on Pattern Recognition, 2003Using the Marr-Hildreth operator with a subsequent closing algorithm, it is possible to determine the main constituents of the human head from magnetic resonance image data. With use of the segmentation results in a generalized voxel model one can generate images that are very similar to what is known from real anatomy.
Karl Heinz Hoehne +4 more
openaire +1 more source
Knowledge-Guided Segmentation of 3D Imagery
Graphical Models and Image Processing, 1996This paper presents a computationally efficient and robust approach to locate, label, and isolate three-dimensional (3D) structures from discrete 3D imagery. The emphasis is placed on extracting a convex, singly connected 3D structure of interest imbedded in discrete, volumetric data sets that are sparse, noisy, and possibly misleading.
Norberto Ezquerra, Rakesh Mullick
openaire +1 more source

