001440155 000__ 08045cam\a2200841\i\4500
001440155 001__ 1440155
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001440155 019__ $$a1272956646$$a1273075729$$a1273122297$$a1287766441$$a1292518113
001440155 020__ $$a9783030877354$$q(electronic bk.)
001440155 020__ $$a3030877353$$q(electronic bk.)
001440155 020__ $$z9783030877347$$q(print)
001440155 020__ $$z3030877345
001440155 0247_ $$a10.1007/978-3-030-87735-4$$2doi
001440155 035__ $$aSP(OCoLC)1273350975
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001440155 050_4 $$aRC78.7.D53$$bU57 2021eb
001440155 08204 $$a616.07/54$$223
001440155 1112_ $$aUNSURE (Workshop)$$n(3rd :$$d2021 :$$cOnline)
001440155 24510 $$aUncertainty for safe utilization of machine learning in medical imaging, and perinatal imaging, placental and preterm image analysis :$$b3rd International Workshop, UNSURE 2021, and 6th International Workshop, PIPPI 2021, held in conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings /$$cCarole H. Sudre, Roxane Licandro, Christian Baumgartner, Andrew Melbourne, Adrian Dalca, Jana Hutter, Ryutaro Tanno, Esra Abaci Turk, Koen Van Leemput, Jordina Torrents Barrena, William M. Wells, Christopher Macgowan (eds.).
001440155 2463_ $$aUNSURE 2021
001440155 2463_ $$aPIPPI 2021
001440155 264_1 $$aCham, Switzerland :$$bSpringer,$$c2021.
001440155 300__ $$a1 online resource (xiii, 296 pages) :$$billustrations (some color)
001440155 336__ $$atext$$btxt$$2rdacontent
001440155 337__ $$acomputer$$bc$$2rdamedia
001440155 338__ $$aonline resource$$bcr$$2rdacarrier
001440155 347__ $$atext file
001440155 347__ $$bPDF
001440155 4901_ $$aLecture notes in computer science ;$$v12959
001440155 4901_ $$aLNCS sublibrary, SL 6, Image processing, computer vision, pattern recognition, and graphics
001440155 500__ $$a"The conference was planned to take place in Strasbourg, France, but changed to an online event due to the COVID-19 pandemic."
001440155 500__ $$aIncludes author index.
001440155 5050_ $$aUNSURE 2021 -- Uncertainty estimation and modelling and annotation uncertainty -- Model uncertainty estimation for medical Imaging based diagnosis -- Accurate simulation of operating system updates in neuroimaging using Monte-Carlo arithmetic -- Leveraging uncertainty estimates to improve segmentation performance in cardiac MR -- Improving the reliability of semantic segmentation of medical images by uncertainty modelling with Bayesian deep networks and curriculum learning -- Unpaired MR image homogeneisation by disentangled representations and its uncertainty -- Uncertainty-aware deep learning based deformable registration -- Monte Carlo Concrete DropPath for Epistemic Uncertainty Estimation in Brain Tumour segmentation -- Improving Aleatoric Uncertainty quantification in multi-annotated medical image segmentation with normalizing flows -- UNSURE 2021 -- Domain shift robustness and risk management in clinical pipelines -- Task-agnostic out-of-distribution detection using kernel density estimation -- Out of distribution detection for medical images -- Robust selective classification of skin lesions with asymmetric costs -- Confidence-based Out-of-Distribution detection: a comparative study and analysis -- Novel disease detection using ensembles with regularized disagreement -- PIPPI2021 -- Automatic Placenta Abnormality Detection using Convolutional Neural Networks on Ultrasound Texture -- Simulated Half-Fourier Acquisitions Single-shot Turbo Spin Echo (HASTE) of the Fetal Brain: Application to Super-Resolution Reconstruction -- Spatio-temporal atlas of normal fetal craniofacial feature development and CNN-based ocular biometry for motion-corrected fetal MRI -- Myelination of preterm brain networks at adolescence -- A bootstrap self-training method for sequence transfer: State-of-the-art placenta segmentation in fetal MRI -- Segmentation of the cortical plate in fetal brain MRI with a topological loss -- Fetal brain MRI measurements using a deep learning landmark network with reliability estimation -- CAS-Net: Conditional Atlas Generation and Brain Segmentation for Fetal MRI -- Detection of Injury and Automated Triage of Preterm Neonatal MRI using Patch-Based Gaussian Processes -- Assessment of Regional Cortical Development through Fissure Based Gestational Age Estimation in 3D Fetal Ultrasound -- Texture-based Analysis of Fetal Organs in Fetal Growth Restriction -- Distributionally Robust Segmentation of Abnormal Fetal Brain 3D MRI -- Analysis of the Anatomical Variability of Fetal Brains with Corpus Callosum Agenesis -- Predicting preterm birth using multimodal fetal imaging.
001440155 506__ $$aAccess limited to authorized users.
001440155 520__ $$aThis book constitutes the refereed proceedings of the Third Second International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2021, and the 6th International Workshop on Preterm, Perinatal and Paediatric Image Analysis, PIPPI 2021, held in conjunction with MICCAI 2021. The conference was planned to take place in Strasbourg, France, but was held virtually due to the COVID-19 pandemic. For UNSURE 2021, 13 papers from 18 submissions were accepted for publication. They focus on developing awareness and encouraging research in the field of uncertainty modelling to enable safe implementation of machine learning tools in the clinical world. PIPPI 2021 accepted 14 papers from the 18 submissions received. The workshop aims to bring together methods and experience from researchers and authors working on these younger cohorts and provides a forum for the open discussion of advanced image analysis approaches focused on the analysis of growth and development in the fetal, infant and paediatric period.
001440155 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed October 5, 2021).
001440155 650_0 $$aDiagnostic imaging$$xData processing$$vCongresses.
001440155 650_0 $$aArtificial intelligence$$xMedical applications$$vCongresses.
001440155 650_0 $$aMachine learning$$vCongresses.
001440155 650_6 $$aImagerie pour le diagnostic$$xInformatique$$vCongrès.
001440155 650_6 $$aIntelligence artificielle en médecine$$vCongrès.
001440155 650_6 $$aApprentissage automatique$$vCongrès.
001440155 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001440155 655_7 $$aConference papers and proceedings.$$2lcgft
001440155 655_7 $$aActes de congrès.$$2rvmgf
001440155 655_0 $$aElectronic books.
001440155 7001_ $$aSudre, Carole H.,$$eeditor$$0(orcid)0000-0001-5753-428X$$1https://orcid.org/0000-0001-5753-428X
001440155 7001_ $$aLicandro, Roxane,$$eeditor$$0(orcid)0000-0001-9066-4473$$1https://orcid.org/0000-0001-9066-4473
001440155 7001_ $$aBaumgartner, Christian$$c(Professor of health care engineering),$$eeditor$$1https://orcid.org/0000-0002-3629-4384
001440155 7001_ $$aMelbourne, Andrew,$$eeditor.
001440155 7001_ $$aDalca, Adrian V.$$q(Adrian Vasile),$$eeditor$$1https://orcid.org/0000-0002-8422-0136
001440155 7001_ $$aHutter, Jana,$$eeditor$$1https://orcid.org/0000-0003-3476-3500
001440155 7001_ $$aTanno, Ryutaro,$$eeditor.
001440155 7001_ $$aAbaci Turk, Esra,$$eeditor.
001440155 7001_ $$aVan Leemput, Koen,$$eeditor$$0(orcid)0000-0001-6466-5309$$1https://orcid.org/0000-0001-6466-5309
001440155 7001_ $$aTorrents Barrena, Jordina,$$eeditor.
001440155 7001_ $$aWells, William M.,$$eeditor.
001440155 7001_ $$aMacgowan, Christopher,$$eeditor.
001440155 7112_ $$aPIPPI (Workshop)$$n(6th :$$d2021 :$$cOnline),$$jjointly held conference.
001440155 7112_ $$aInternational Conference on Medical Image Computing and Computer-Assisted Intervention$$n(24th :$$d2021 :$$cOnline)
001440155 830_0 $$aLecture notes in computer science ;$$v12959.
001440155 830_0 $$aLNCS sublibrary.$$nSL 6,$$pImage processing, computer vision, pattern recognition, and graphics.
001440155 852__ $$bebk
001440155 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-87735-4$$zOnline Access$$91397441.1
001440155 909CO $$ooai:library.usi.edu:1440155$$pGLOBAL_SET
001440155 980__ $$aBIB
001440155 980__ $$aEBOOK
001440155 982__ $$aEbook
001440155 983__ $$aOnline
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