Quantitative evaluation of convolution-based methods for medical image interpolation.
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Whole-body gene expression pattern registration in Platynereis larvaeIn-situ Isotopic Analysis at Nanoscale using Parallel Ion Electron Spectrometry: A Powerful New Paradigm for Correlative Microscopy.Quick-and-clean article figures with FigureJ(3)D [corrected] quantification of tumor vasculature in lymphoma xenografts in NOD/SCID mice allows to detect differences among vascular-targeted therapiesCraniofacial growth in fetal Tarsius bancanus: brains, eyes and nasal septaEvaluation of internal auditory canal structures in tinnitus of unknown origin.Slowing of axonal regeneration is correlated with increased axonal viscosity during aging.An optical flow based method for improved reconstruction of 4D CT data sets acquired during free breathing.Evaluation of dental composite shrinkage and leakage in extracted teeth using X-ray microcomputed tomography.Functional characterization of Friedreich ataxia iPS-derived neuronal progenitors and their integration in the adult brain.Adaptive-weighted cubic B-spline using lookup tables for fast and efficient axial resampling of 3D confocal microscopy images.Live imaging and quantitative analysis of gastrulation in mouse embryos using light-sheet microscopy and 3D tracking tools.Mesodermal cell displacements during avian gastrulation are due to both individual cell-autonomous and convective tissue movements.Registration of Brain MRI/PET Images Based on Adaptive Combination of Intensity and Gradient Field Mutual Information.Imaging tumor cell movement in vivoImproving the clinical correlation of multiple sclerosis black hole volume change by paired-scan analysis.Measuring affinities of fission yeast spindle pole body proteins in live cells across the cell cycleVolume reconstruction based on non-rigid registration.Survey: interpolation methods for whole slide image processing.Characterization of chromatin domains by 3D fluorescence microscopy: An automated methodology for quantitative analysis and nuclei screening.CT dataset anisotropy management for oral implantology planning software.Quantitative imaging of peripheral trabecular bone microarchitecture using MDCT.Shell feature: a new radiomics descriptor for predicting distant failure after radiotherapy in non-small cell lung cancer and cervix cancer.
P2860
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P2860
Quantitative evaluation of convolution-based methods for medical image interpolation.
description
2001 nî lūn-bûn
@nan
2001年の論文
@ja
2001年学术文章
@wuu
2001年学术文章
@zh
2001年学术文章
@zh-cn
2001年学术文章
@zh-hans
2001年学术文章
@zh-my
2001年学术文章
@zh-sg
2001年學術文章
@yue
2001年學術文章
@zh-hant
name
Quantitative evaluation of convolution-based methods for medical image interpolation.
@en
Quantitative evaluation of convolution-based methods for medical image interpolation.
@nl
type
label
Quantitative evaluation of convolution-based methods for medical image interpolation.
@en
Quantitative evaluation of convolution-based methods for medical image interpolation.
@nl
prefLabel
Quantitative evaluation of convolution-based methods for medical image interpolation.
@en
Quantitative evaluation of convolution-based methods for medical image interpolation.
@nl
P1476
Quantitative evaluation of convolution-based methods for medical image interpolation.
@en
P2093
Meijering EH
Viergever MA
P304
P356
10.1016/S1361-8415(00)00040-2
P577
2001-06-01T00:00:00Z