about
Temporal filtering of longitudinal brain magnetic resonance images for consistent segmentationCombined registration and motion correction of longitudinal retinal OCT dataThe Java Image Science Toolkit (JIST) for rapid prototyping and publishing of neuroimaging software.LONGITUDINAL INTENSITY NORMALIZATION IN THE PRESENCE OF MULTIPLE SCLEROSIS LESIONS.A toolbox to visually explore cerebellar shape changes in cerebellar disease and dysfunction.Synthesizing MR Contrast and Resolution through a Patch Matching Technique.Analysis of macular OCT images using deformable registration.PET attenuation correction using synthetic CT from ultrashort echo-time MR imaging.Simple paradigm for extra-cerebral tissue removal: algorithm and analysis.Using image synthesis for multi-channel registration of different image modalities.Subject-Specific Sparse Dictionary Learning for Atlas-Based Brain MRI Segmentation.Deformation field correction for spatial normalization of PET imagesMRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI ScansSystem for integrated neuroimaging analysis and processing of structure.Combining Multi-atlas Segmentation with Brain Surface Estimation.Voxel Based Morphometry in Optical Coherence Tomography: Validation & Core FindingsTOPOLOGY PRESERVING AUTOMATIC SEGMENTATION OF THE SPINAL CORD IN MAGNETIC RESONANCE IMAGESLandmark Based Shape Analysis for Cerebellar Ataxia Classification and Cerebellar Atrophy Pattern VisualizationThalamus parcellation using multi-modal feature classification and thalamic nuclei priors.Example Based Lesion Segmentation.PATCH BASED INTENSITY NORMALIZATION OF BRAIN MR IMAGES.DEFORMABLE REGISTRATION OF MACULAR OCT USING A-MODE SCAN SIMILARITY.Magnetic Resonance Image Example-Based Contrast Synthesis.Multiple-object geometric deformable model for segmentation of macular OCTLongitudinal multiple sclerosis lesion segmentation: Resource and challenge.Quality Assurance using Outlier Detection on an Automatic Segmentation Method for the Cerebellar Peduncles.Cross contrast multi-channel image registration using image synthesis for MR brain images.INTENSITY INHOMOGENEITY CORRECTION OF MACULAR OCT USING N3 AND RETINAL FLATSPACESegmentation of Thalamus from MR images via Task-Driven Dictionary Learning.Simultaneous Cortical Surface Labeling and Sulcal Curve Extraction.MR image synthesis by contrast learning on neighborhood ensembles.Longitudinal graph-based segmentation of macular OCT using fundus alignment.Segmentation of microcystic macular edema in Cirrus OCT scans with an exploratory longitudinal study.Distance Transforms in Multi Channel MR Image Registration.Multi-Output Decision Trees for Lesion Segmentation in Multiple Sclerosis.An adaptive grid for graph-based segmentation in retinal OCT.Effects of Spatial Resolution on Image Registration.FUZZY C-MEANS WITH VARIABLE COMPACTNESS.Pulse Sequence based Multi-acquisition MR Intensity NormalizationAutomatic Cell Segmentation in Fluorescence Images of Confluent Cell Monolayers Using Multi-object Geometric Deformable Model.
P50
Q28603474-8CD1051C-D14C-4D14-923F-9B18AB0AFFFBQ31102924-83C9B6C0-8FAD-4659-B93C-68D34E85FCDEQ33524433-46EC83D2-1FD9-4451-AE5C-23DCC7AC5FBDQ33579204-C7D95C75-D04B-45C0-B04C-1222C6850362Q33638280-A2C2A8FB-B9BB-4CDD-AA24-9324047712E1Q33815240-65CADF09-E2AD-439E-A986-E52F01D471FCQ33915815-65E4B5EE-196C-4DCF-B10B-A4761D3B346DQ34624446-843AF159-A3A5-451A-BAA1-EE13661AF4A9Q35017061-84A4405F-1C7F-4592-BCA9-46629FFC6E80Q35911418-095E6618-A56A-440E-8CA2-F59B0FAAF7FBQ36034627-A20DCB50-09BC-4012-9A87-958F13B28BDAQ36042353-E149000C-1441-4CD1-83DB-9630CECE5080Q36374500-BAFE5727-F58F-4C6D-A4E8-E7A9A21C7354Q36438030-6D9D3A8C-6E7D-44AE-AAF1-D2DC07543109Q36838507-EC2AFDAE-A34E-4B36-AF38-42D846413F14Q36908647-AA5E447F-266B-44C1-AF58-4E37410114CEQ36992694-66F62E64-4D02-4BC6-B0D1-AA8F20ECF7EEQ36995098-0AFD84DC-C74C-4FD7-95CF-62E11F52E3D8Q37213918-5CCBDB95-FDC1-4FE6-B895-62BF340211BCQ37371957-A6FC1AC0-15FD-4DF9-895D-EC0986E97AD1Q37482256-CBC8D233-2EF0-4D65-BF09-114FC19116C5Q37482410-13C750BD-281D-4E89-8580-D90B5ECE9408Q37640052-3CAAB97D-B44F-4D0C-8476-154DA07AEEF9Q38741574-5658A2A1-5AAC-4E5E-95C2-371A71663A33Q38770540-A87823D4-CB38-4548-A3E4-1E344FFA84A2Q38959202-BADAD2CA-87E2-40C3-BF70-28AA890EA976Q39212165-6DD55638-BAFC-429E-B35D-94D0FEDEC1DDQ39329511-BCC85FEA-E53B-459D-BBBC-DF55703351F7Q39415856-F6190D81-6624-439D-ACFC-87B07C82B92CQ39546932-99E02103-D73B-4C13-B8BF-BDAFB64D0FD5Q40838099-896575CB-A1D9-4821-BB30-C583E08873D7Q40891150-D9EBB5E5-7819-4AA1-B8AD-2C193DE693CFQ41070476-C0A0B1B1-8A25-403C-A69A-27BBCEC70670Q41155332-0F76B23B-36E0-4334-8F8D-B8D7D8AA99F3Q41221527-77963BEC-C296-4EBF-9BDA-DE194AE49AD6Q41506436-D024C16C-2D6E-478C-A4C0-DE2CE194B5A6Q41529946-D11E08A7-C478-48E1-A72F-8022026C6C61Q41773755-701898DB-AFBF-48B8-94B3-C4BED13E498CQ41844222-E90E8AE6-C86F-4747-BFB8-80B8B84F6B6AQ41844230-D5E584D5-46E5-4E17-8405-20024FF4F482
P50
description
hulumtues
@sq
onderzoeker
@nl
researcher
@en
հետազոտող
@hy
name
Aaron Carass
@ast
Aaron Carass
@en
Aaron Carass
@es
type
label
Aaron Carass
@ast
Aaron Carass
@en
Aaron Carass
@es
prefLabel
Aaron Carass
@ast
Aaron Carass
@en
Aaron Carass
@es
P106
P1153
15061054500
P21
P2456
P31
P496
0000-0003-4939-5085