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001482454 001__ 1482454
001482454 003__ OCoLC
001482454 005__ 20231128003337.0
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001482454 008__ 231018s2023\\\\sz\a\\\\o\\\\\101\0\eng\d
001482454 019__ $$a1402811293$$a1402818746
001482454 020__ $$a9783031455445$$q(electronic bk.)
001482454 020__ $$a3031455444$$q(electronic bk.)
001482454 020__ $$z9783031455438
001482454 020__ $$z3031455436
001482454 0247_ $$a10.1007/978-3-031-45544-5$$2doi
001482454 035__ $$aSP(OCoLC)1404455188
001482454 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dEBLCP$$dYDX$$dOCLCO$$dOCLCF
001482454 049__ $$aISEA
001482454 050_4 $$aRJ51.R3$$bP56 2023
001482454 08204 $$a618.92/00754$$223/eng/20231018
001482454 1112_ $$aPIPPI (Workshop)$$n(8th :$$d2023 :$$cVancouver, B.C.)
001482454 24510 $$aPerinatal, preterm and paediatric image analysis :$$b8th International Workshop, PIPPI 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings /$$cDaphna Link-Sourani, Esra Abaci Turk, Christopher Macgowan, Jana Hutter, Andrew Melbourne, Roxane Licandro, editors.
001482454 2463_ $$aPIPPI 2023
001482454 2463_ $$aPerinatal, preterm and pediatric image analysis
001482454 264_1 $$aCham :$$bSpringer,$$c2023.
001482454 300__ $$a1 online resource (x, 122 pages) :$$billustrations (some color).
001482454 336__ $$atext$$btxt$$2rdacontent
001482454 337__ $$acomputer$$bc$$2rdamedia
001482454 338__ $$aonline resource$$bcr$$2rdacarrier
001482454 4901_ $$aLecture notes in computer science,$$x1611-3349 ;$$v14246
001482454 500__ $$aIncludes author index.
001482454 5050_ $$aIntro -- Preface -- Organization -- Contents -- Fetal Brain Image Analysis -- FetMRQC: Automated Quality Control for Fetal Brain MRI -- 1 Introduction -- 2 Methodology -- 2.1 Data -- 2.2 Manual QA of Fetal MRI Stacks -- 2.3 IQMs Extraction and Learning -- 3 Results and Discussion -- 4 Conclusion -- References -- A Deep Learning Approach for Segmenting the Subplate and Proliferative Zones in Fetal Brain MRI -- 1 Introduction -- 2 Methods -- 2.1 Cohort, Datasets and Preprocessing -- 2.2 Neuroanatomical Parcellation of Transient Regions -- 2.3 Automated Segmentation of Transient Regions
001482454 5058_ $$a2.4 Qualitative and Quantitative Analyses of Transient Regions -- 3 Results and Discussion -- 3.1 Qualitative Analysis of Transient Regions in Atlas Space -- 3.2 Quantitative Analyses of Transient Regions in Subject Space -- 3.3 Quantitative Comparison of Transient Volumes in Fetuses with Ventriculomegaly and Controls -- 4 Conclusion and Future Work -- References -- Combined Quantitative T2* Map and Structural T2-Weighted Tissue-Specific Analysis for Fetal Brain MRI: Pilot Automated Pipeline -- 1 Introduction -- 2 Methods -- 2.1 Datasets, Acquisition and Pre-processing
001482454 5058_ $$a2.2 Automated 3D T2* Fetal Brain Reconstruction in T2w Space -- 2.3 Automated 3D T2* Fetal Brain Tissue Segmentation -- 2.4 Analysis of Brain Development in Combined T2w+T2* Datasets -- 2.5 Implementation Details -- 3 Experiments and Results -- 3.1 Automated 3D T2* Fetal Brain Reconstruction in T2w Space -- 3.2 Automated 3D T2* Fetal Brain Tissue Segmentation -- 3.3 Analysis of Brain Development in T2w+T2* Datasets -- 4 Discussion and Conclusions -- References -- Quantitative T2 Relaxometry in Fetal Brain: Validation Using Modified FaBiaN Fetal Brain MRI Simulator -- 1 Introduction
001482454 5058_ $$a2 Methodology -- 2.1 Quantitative T2 Measurement Framework for Fetal MRI -- 2.2 Overview of the FaBiAN Phantom -- 2.3 The Fetal Brain Model -- 2.4 Modelling Fetal Motion -- 2.5 Modelling Signals with Slice Profiles -- 2.6 Sampling K-Space -- 2.7 Modelling the Signals for the Dictionary -- 2.8 Simulated Experiments -- 2.9 Fetal Brain Measurements -- 3 Results -- 3.1 Simulated Fetal MRI -- 3.2 Reconstruction of T2 Maps from Simulated Fetal Data -- 3.3 Fetal Measurements -- 4 Discussion -- 5 Conclusion -- References -- Fetal Cardiac Image Analysis
001482454 5058_ $$aTowards Automatic Risk Prediction of Coarctation of the Aorta from Fetal CMR Using Atlas-Based Segmentation and Statistical Shape Modelling -- 1 Introduction -- 1.1 Contributions -- 2 Methods -- 2.1 Dataset Description -- 2.2 Automated Segmentation -- 2.3 Statistical Shape Analysis -- 3 Results -- 3.1 Segmentation -- 3.2 Statistical Shape Analysis -- 4 Discussion -- 5 Conclusion -- References -- The Challenge of Fetal Cardiac MRI Reconstruction Using Deep Learning -- 1 Introduction -- 2 Methods -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Placental and Cervical Image Analysis
001482454 506__ $$aAccess limited to authorized users.
001482454 520__ $$aThis book constitutes the refereed proceedings of the 8th International Workshop on Perinatal, Preterm and Paediatric Image Analysis, PIPPI 2023, held in conjunction with the 26th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2023, in Vancouver, Canada, in October 2023. The 10 full papers presented at PIPPI 2023 were carefully reviewed and selected from 14 submissions. PIPPI 2023 workshop complements the main MICCAI conference by providing a focused discussion on the challenges of image analysis techniques as applied to the fetal and infant settings.
001482454 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed October 18, 2023).
001482454 650_0 $$aPediatric diagnostic imaging$$xData processing$$vCongresses.
001482454 650_6 $$aImagerie pour le diagnostic en pédiatrie$$xInformatique$$vCongrès.
001482454 655_0 $$aElectronic books.
001482454 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001482454 7001_ $$aLink-Sourani, Daphna,$$eeditor.$$0(orcid)0000-0003-2422-6795$$1https://orcid.org/0000-0003-2422-6795
001482454 7001_ $$aAbaci Turk, Esra,$$eeditor.$$0(orcid)0000-0003-0246-8793$$1https://orcid.org/0000-0003-0246-8793
001482454 7001_ $$aMacgowan, Christopher,$$eeditor.$$0(orcid)0000-0002-7016-0662$$1https://orcid.org/0000-0002-7016-0662
001482454 7001_ $$aHutter, Jana,$$eeditor.$$1https://orcid.org/0000-0003-3476-3500
001482454 7001_ $$aMelbourne, Andrew,$$eeditor.$$1https://orcid.org/0000-0001-7667-3947
001482454 7001_ $$aLicandro, Roxane,$$eeditor.$$1https://orcid.org/0000-0001-9066-4473
001482454 7112_ $$aInternational Conference on Medical Image Computing and Computer-Assisted Intervention$$n(26th :$$d2023 :$$cVancouver, B.C.)
001482454 77608 $$iPrint version: $$z3031455436$$z9783031455438$$w(OCoLC)1396059552
001482454 830_0 $$aLecture notes in computer science ;$$v14246.$$x1611-3349
001482454 852__ $$bebk
001482454 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-45544-5$$zOnline Access$$91397441.1
001482454 909CO $$ooai:library.usi.edu:1482454$$pGLOBAL_SET
001482454 980__ $$aBIB
001482454 980__ $$aEBOOK
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