about
Mobile, cloud, and big data computing: contributions, challenges, and new directions in telecardiologyA Hitchhiker's Guide to Functional Magnetic Resonance ImagingTechnical Note: Development and validation of an open data format for CT projection data3D Slicer as an image computing platform for the Quantitative Imaging NetworkErrors in Quantitative Image Analysis due to Platform-Dependent Image Scaling.DICOM for Clinical Research: PACS-Integrated Electronic Data Capture in Multi-Center TrialsData Standards in Tele-radiology.Using physiologically based models for clinical translation: predictive modelling, data interpretation or something in-between?XML-BSPM: an XML format for storing Body Surface Potential Map recordings.DCMDSM: a DICOM decomposed storage model.Publishing on the WWW. Part 8 - Creating standalone animations from the DICOM formatBiomedical imaging ontologies: A survey and proposal for future workA Survey of DICOM Viewer Software to Integrate Clinical Research and Medical Imaging.Development and application of a framework for maintenance of medical terminological systems.Biomarkers in autism spectrum disorder: the old and the new.IBEX: an open infrastructure software platform to facilitate collaborative work in radiomics.Telecardiology and its settings of application: An update.Image De-Identification Methods for Clinical Research in the XDS Environment.RayPlus: a Web-Based Platform for Medical Image Processing.The reliability of virtual organ computer-aided analysis (VOCAL) for the semiquantification of ovarian, endometrial and subendometrial perfusion.FAST: framework for heterogeneous medical image computing and visualization.Computer-aided position planning of miniplates to treat facial bone defects.Quantitative Image Feature Engine (QIFE): an Open-Source, Modular Engine for 3D Quantitative Feature Extraction from Volumetric Medical Images.Performance of Web-based image distribution: client-oriented measurements.MRI to MGMT: predicting methylation status in glioblastoma patients using convolutional recurrent neural networks.
P2860
Q26851964-885537DE-423D-41DF-835E-EBCD93AD57CBQ28066281-E5D3B3C8-11D3-4ECE-8204-C8A1F3CFC28BQ28607481-715219DA-DC18-4256-8FF2-E9755EA9E176Q28727260-271D0068-D0D9-4C23-8031-72018453867EQ30810422-3BB173EE-5125-4D66-9B51-2806003F34CDQ30956992-42F9C28C-9CD7-49FE-AE40-4D3FBBC4DC71Q30984592-1E81034D-D7D4-4336-AFC8-70BAECF25269Q31086222-251CBBA9-6E15-4A08-BE8B-AD1298AE1A7AQ33578281-6C4A1AD5-24C6-4B91-B43C-82F73307A611Q34101966-CFABE833-06E3-48CD-BC0C-877C97683223Q35597743-9E7E4A2D-7850-4990-8D73-D64A431F0179Q35689252-61B152D2-1C37-4A00-AE27-C177E9D1C830Q36678259-44201576-D257-4EF5-A031-5E1BA3289035Q36858966-9F82ED8C-7422-4F01-81B3-641DE9838635Q38149740-B8D1F45D-411D-4D83-AD01-5938AB05D4D2Q38367229-BC611EF1-F3A0-4862-8666-5CC458B5BB63Q39022427-EC7DB5C4-478E-49C9-BD25-89DB65C004CBQ40061493-6A733E74-AA97-49A3-AE0A-10BB65140851Q40424972-8E7F8B3F-A942-43EB-A25F-FE0BF4907299Q40541783-5D00D2DC-4048-4917-95CD-B7FD76F41AE8Q41432127-3DF3AB33-5B9F-4A3B-A318-6EC1B15BF06EQ41443839-6A8A8F8F-C327-4A75-9ECC-C917FBCA986CQ42695996-84CC3042-6CB5-4100-B72A-FA17A7CDF001Q44394998-D8C19A1B-D519-4CF5-AF11-AF41C86526C3Q47108716-159F4CF1-984C-498C-8271-1CEB1C5E0974
P2860
description
2001 nî lūn-bûn
@nan
2001 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2001 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2001年の論文
@ja
2001年論文
@yue
2001年論文
@zh-hant
2001年論文
@zh-hk
2001年論文
@zh-mo
2001年論文
@zh-tw
2001年论文
@wuu
name
Introduction to the DICOM standard.
@ast
Introduction to the DICOM standard.
@en
Introduction to the DICOM standard.
@nl
type
label
Introduction to the DICOM standard.
@ast
Introduction to the DICOM standard.
@en
Introduction to the DICOM standard.
@nl
prefLabel
Introduction to the DICOM standard.
@ast
Introduction to the DICOM standard.
@en
Introduction to the DICOM standard.
@nl
P2093
P356
P1433
P1476
Introduction to the DICOM standard.
@en
P2093
Eric Martin
Marco Eichelberg
Peter Mildenberger
P2888
P304
P356
10.1007/S003300101100
P407
P577
2001-09-15T00:00:00Z