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001449873 001__ 1449873
001449873 003__ OCoLC
001449873 005__ 20230310004422.0
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001449873 008__ 220928s2022\\\\sz\a\\\\o\\\\\101\0\eng\d
001449873 019__ $$a1345580055
001449873 020__ $$a9783031171178$$q(electronic bk.)
001449873 020__ $$a3031171179$$q(electronic bk.)
001449873 020__ $$z9783031171161
001449873 020__ $$z3031171160
001449873 0247_ $$a10.1007/978-3-031-17117-8$$2doi
001449873 035__ $$aSP(OCoLC)1346150491
001449873 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dEBLCP$$dOCLCF$$dOCLCQ$$dUKAHL
001449873 049__ $$aISEA
001449873 050_4 $$aRJ51.R3
001449873 08204 $$a618.92/00754$$223/eng/20220928
001449873 1112_ $$aPIPPI (Workshop)$$n(7th :$$d2022 :$$cSingapore)
001449873 24510 $$aPerinatal, preterm and paediatric image analysis :$$b7th international workshop, PIPPI 2022, held in conjunction with MICCAI 2022, Singapore, September 18, 2022, proceedings /$$cRoxane Licandro, Andrew Melbourne, Esra Abaci Turk, Christopher Macgowan, Jana Hutter (eds.).
001449873 24630 $$aPIPPI 2022
001449873 264_1 $$aCham :$$bSpringer,$$c[2022]
001449873 264_4 $$c©2022
001449873 300__ $$a1 online resource (xii, 116 pages) :$$billustrations (chiefly color).
001449873 336__ $$atext$$btxt$$2rdacontent
001449873 337__ $$acomputer$$bc$$2rdamedia
001449873 338__ $$aonline resource$$bcr$$2rdacarrier
001449873 4901_ $$aLecture notes in computer science,$$x1611-3349 ;$$v13575
001449873 500__ $$aInternational conference proceedings.
001449873 500__ $$aIncludes author index.
001449873 5050_ $$aIntro -- Preface -- Organization -- Contents -- Automatic Segmentation of the Placenta in BOLD MRI Time Series -- 1 Introduction -- 2 Methods -- 2.1 Model -- 2.2 Additive Boundary Loss -- 2.3 Implementation Details -- 3 Model Evaluation -- 3.1 Data -- 3.2 Evaluation -- 3.3 Results -- 4 Discussion and Conclusion -- References -- A Fast Anatomical and Quantitative MRI Fetal Exam at Low Field -- 1 Introduction -- 2 Methods -- 2.1 Evaluation -- 2.2 Analysis -- 3 Results -- 4 Discussion and Conclusions -- References -- Automatic Fetal Fat Quantification from MRI -- 1 Introduction -- 2 Methodology
001449873 5058_ $$a2.1 Semi-automatic Fetal AT Segmentation -- 2.2 Automatic Fetal Fat Segmentation -- 3 Experimental Results -- 3.1 Study 1: Manual and Semi-automatic Observer Variability -- 3.2 Study 2: Automatic Fetal AT Segmentation -- 3.3 Study 3: Analysis of Manual Corrections Following Automatic Segmentation -- 4 Discussion -- 5 Conclusion -- References -- Continuous Longitudinal Fetus Brain Atlas Construction via Implicit Neural Representation -- 1 Introduction -- 2 Method -- 2.1 Pre-train Stage -- 2.2 Refine Stage -- 2.3 Inference Stage -- 3 Experiments -- 3.1 Setup -- 3.2 Results -- 4 Conclusion
001449873 5058_ $$aAttention-Driven Multi-channel Deformable Registration of Structural and Microstructural Neonatal Data -- 1 Introduction -- 2 Method -- 3 Results -- 4 Conclusion -- References -- Automated Multi-class Fetal Cardiac Vessel Segmentation in Aortic Arch Anomalies Using T2-Weighted 3D Fetal MRI -- 1 Introduction -- 1.1 Deep Learning Segmentation -- 1.2 Label Propagation -- 1.3 Contribution -- 2 Methods -- 2.1 Data Specifications -- 2.2 Deep Learning Segmentation Framework -- 2.3 Label Propagation -- 2.4 Attention U-Net Segmentation -- 3 Results -- 3.1 Preliminary Network Architecture Experiments
001449873 5058_ $$a3.2 Test Set and Experiments -- 3.3 Quantitative Results -- 3.4 Visual Inspection -- 4 Discussion -- 5 Conclusion -- References -- Segmentation of Periventricular White Matter in Neonatal Brain MRI: Analysis of Brain Maturation in Term and Preterm Cohorts -- 1 Introduction -- 2 Methods -- 2.1 Cohort, Datasets and Preprocessing -- 2.2 Parcellation Map of Periventricular WM ROIs in the Atlas Space -- 2.3 Automated Segmentation of Periventricular WM ROIs -- 2.4 Quantitative Analysis of PWM in Term and Preterm Cohorts -- 3 Results and Discussion
001449873 506__ $$aAccess limited to authorized users.
001449873 520__ $$aThis book constitutes the refereed proceedings of the First International Workshop on Perinatal, Preterm and Paediatric Image Analysis, PIPPI 2022, held in conjunction with the 25th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2022, in Singapore, Singapore, in September 2021. The 10 full papers and 1 short papers presented at PIPPI 2022 were carefully reviewed and selected from 12 submissions. PIPPI 2022 workshop complements the main MICCAI conference by providing a focused discussion of perinatal and paediatric image analysis, including the application of sophisticated analysis tools to fetal, neonatal and paediatric imaging data.
001449873 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed September 28, 2022).
001449873 650_0 $$aPediatric diagnostic imaging$$xData processing$$vCongresses.
001449873 655_0 $$aElectronic books.
001449873 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001449873 655_7 $$aConference papers and proceedings.$$2lcgft
001449873 7001_ $$aLicandro, Roxane,$$eeditor.
001449873 7001_ $$aMelbourne, Andrew,$$eeditor.
001449873 7001_ $$aAbaci Turk, Esra,$$eeditor.
001449873 7001_ $$aMacgowan, Christopher,$$eeditor.
001449873 7001_ $$aHutter, Jana,$$eeditor.
001449873 7112_ $$aInternational Conference on Medical Image Computing and Computer-Assisted Intervention$$n(25th :$$d2022 :$$cSingapore)
001449873 77608 $$iPrint version: $$z3031171160$$z9783031171161$$w(OCoLC)1342490283
001449873 830_0 $$aLecture notes in computer science ;$$v13575.$$x1611-3349
001449873 852__ $$bebk
001449873 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-17117-8$$zOnline Access$$91397441.1
001449873 909CO $$ooai:library.usi.edu:1449873$$pGLOBAL_SET
001449873 980__ $$aBIB
001449873 980__ $$aEBOOK
001449873 982__ $$aEbook
001449873 983__ $$aOnline
001449873 994__ $$a92$$bISE