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  • Neural Networks (Computer)

Pattern Recognition, AutomatedFollow by RSS 

You've reached a pubget topic page. Below are the latest papers on this topic, with subtopics on the left.

keywords > Information Science > Pattern Recognition, Automated

Latest papers

A fast bilinear structure from motion algorithm using a video sequence and inertial sensors.

Cross-modal multivariate pattern analysis.

Robust CTA lumen segmentation of the atherosclerotic carotid artery bifurcation in a large patient population.

Constrained watershed method to infer morphology of mammalian cells in microscopic images.

Discovering the unknown: detection of emerging pathogens using a label-free light-scattering system.

Recognition of partially occluded and rotated images with a network of spiking neurons.

Stereo matching with Mumford-Shah regularization and occlusion handling.

Bioinformatics in glycomics: glycan characterization with mass spectrometric data using SimGlycan.

Interventional 4D motion estimation and reconstruction of cardiac vasculature without motion periodicity assumption.

Respiratory motion compensation by model-based catheter tracking during EP procedures.

Parallax-free intra-operative X-ray image stitching.

Automated brain tissue segmentation based on fractional signal mapping from inversion recovery Look-Locker acquisition.

Robust super-resolution volume reconstruction from slice acquisitions: application to fetal brain MRI.

Snakules: a model-based active contour algorithm for the annotation of spicules on mammography.

3-D scalable medical image compression with optimized volume of interest coding.

Manifold modeling for brain population analysis.

A generative model for image segmentation based on label fusion.

A coupled global registration and segmentation framework with application to magnetic resonance prostate imagery.

A tract-specific framework for white matter morphometry combining macroscopic and microscopic tract features.

Evaluation of the simplified spherical harmonics approximation in bioluminescence tomography through heterogeneous mouse models.

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