001440941 000__ 06527cam\a2200721\i\4500
001440941 001__ 1440941
001440941 003__ OCoLC
001440941 005__ 20230309004711.0
001440941 006__ m\\\\\o\\d\\\\\\\\
001440941 007__ cr\cn\nnnunnun
001440941 008__ 211116s2021\\\\sz\a\\\\o\\\\\101\0\eng\d
001440941 019__ $$a1292518182$$a1294368711
001440941 020__ $$a9783030908744$$q(electronic bk.)
001440941 020__ $$a3030908747$$q(electronic bk.)
001440941 020__ $$z9783030908737
001440941 0247_ $$a10.1007/978-3-030-90874-4$$2doi
001440941 035__ $$aSP(OCoLC)1285428910
001440941 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dOCLCF$$dDKU$$dOCLCO$$dDCT$$dCOM$$dOCLCQ$$dOCLCO$$dOCLCQ
001440941 049__ $$aISEA
001440941 050_4 $$aRC78.7.D53
001440941 08204 $$a616.07/57$$223
001440941 1112_ $$aCLIP (Workshop)$$n(10th :$$d2021 :$$cOnline)
001440941 24510 $$aClinical image-based procedures, distributed and collaborative learning, artificial intelligence for combating COVID-19 and secure and privacy-preserving machine learning :$$b10th Workshop, CLIP 2021, Second Workshop, DCL 2021, First Workshop, LL-COVID19 2021, and First Workshop and Tutorial, PPML 2021, held in conjunction with MICCAI 2021, Strasbourg, France, September 27 and October 1, 2021, Proceedings /$$cCristina Oyarzun Laura, M. Jorge Cardoso, Michal Rosen-Zvi, Georgios Kaissis et al. (eds.).
001440941 264_1 $$aCham, Switzerland :$$bSpringer,$$c2021.
001440941 300__ $$a1 online resource (xxv, 190 pages) :$$billustrations (some color)
001440941 336__ $$atext$$btxt$$2rdacontent
001440941 337__ $$acomputer$$bc$$2rdamedia
001440941 338__ $$aonline resource$$bcr$$2rdacarrier
001440941 347__ $$atext file
001440941 347__ $$bPDF
001440941 4901_ $$aLecture notes in computer science ;$$v12969
001440941 4901_ $$aLNCS sublibrary, SL 6, Image processing, computer vision, pattern recognition, and graphics
001440941 500__ $$aIncludes author index.
001440941 5050_ $$aIntestine segmentation with small computational cost for diagnosis assistance of ileus and intestinal obstruction -- Generation of Patient-Specific, Ligamentoskeletal, Finite Element Meshes for Scoliosis Correction Planning -- Bayesian Graph Neural Networks For EEG-based Emotion Recognition -- ViTBIS: Vision Transformer for Biomedical Image Segmentation -- Attention-guided pancreatic duct segmentation from abdominal CT volumes -- Development of the Next Generation Hand-Held Doppler With Waveform Phasicity Predictive Capabilities Using Deep Learning -- Learning from mistakes: an error-driven mechanism to improve segmentation performance based on expert feedback -- TMJOAI: an artificial web-based intelligence tool for early diagnosis of the Temporomandibular Joint Osteoarthritis -- COVID-19 Infection Segmentation from Chest CT Images Based on Scale Uncertainty -- Multi-task Federated Learning for Heterogeneous Pancreas Segmentation -- Federated Learning in the Cloud for Analysis of Medical Images -- Experience with Open Source Frameworks -- On the Fairness of Swarm Learning in Skin Lesion Classification -- Lessons learned from the development and application of medical imaging-based AI technologies for combating COVID-19: why discuss, what next -- The Role of Pleura and Adipose in Lung Ultrasound AI -- DuCN: Dual-children Network for Medical Diagnosis and Similar Case Recommendation towards COVID-19 -- Data imputation and reconstruction of distributed Parkinson's disease clinical assessments: A comparative evaluation of two aggregation algorithms -- Defending Medical Image Diagnostics against Privacy Attacks using Generative Methods: Application to Retinal Diagnostics.
001440941 506__ $$aAccess limited to authorized users.
001440941 520__ $$aThis book constitutes the refereed proceedings of the 10th International Workshop on Clinical Image-Based Procedures, CLIP 2021, Second MICCAI Workshop on Distributed and Collaborative Learning, DCL 2021, First MICCAI Workshop, LL-COVID19, First Secure and Privacy-Preserving Machine Learning for Medical Imaging Workshop and Tutorial, PPML 2021, held in conjunction with MICCAI 2021, in October 2021. The workshops were planned to take place in Strasbourg, France, but were held virtually due to the COVID-19 pandemic. CLIP 2021 accepted 9 papers from the 13 submissions received. It focuses on holistic patient models for personalized healthcare with the goal to bring basic research methods closer to the clinical practice. For DCL 2021, 4 papers from 7 submissions were accepted for publication. They deal with machine learning applied to problems where data cannot be stored in centralized databases and information privacy is a priority. LL-COVID19 2021 accepted 2 papers out of 3 submissions dealing with the use of AI models in clinical practice. And for PPML 2021, 2 papers were accepted from a total of 6 submissions, exploring the use of privacy techniques in the medical imaging community.
001440941 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed November 16, 2021).
001440941 650_0 $$aDiagnostic imaging$$xData processing$$vCongresses.
001440941 650_0 $$aComputer-assisted surgery$$vCongresses.
001440941 650_6 $$aImagerie pour le diagnostic$$xInformatique$$vCongrès.
001440941 650_6 $$aChirurgie assistée par ordinateur$$vCongrès.
001440941 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001440941 655_7 $$aConference papers and proceedings.$$2lcgft
001440941 655_7 $$aActes de congrès.$$2rvmgf
001440941 655_0 $$aElectronic books.
001440941 7001_ $$aOyarzun Laura, Cristina,$$eeditor.
001440941 7001_ $$aCardoso, M. Jorge,$$eeditor$$1https://orcid.org/0000-0003-1284-2558
001440941 7001_ $$aRosen-Zvi, Michal,$$eeditor$$0(orcid)0000-0001-7616-9724$$1https://orcid.org/0000-0001-7616-9724
001440941 7001_ $$aKaissis, Georgios,$$eeditor$$0(orcid)0000-0001-8382-8062$$1https://orcid.org/0000-0001-8382-8062
001440941 7112_ $$aDCL (Workshop)$$n(2nd :$$d2021 :$$cOnline)$$jjointly held conference.
001440941 7112_ $$aLL-COVID (Workshop)$$n(1st :$$d2021 :$$cOnline)$$jjointly held conference.
001440941 7112_ $$aPPML (Workshop)$$n(1st :$$d2021 :$$cOnline)$$jjointly held conference.
001440941 7112_ $$aInternational Conference on Medical Image Computing and Computer-Assisted Intervention$$n(24th :$$d2021 :$$cOnline)
001440941 77608 $$iPrint version: $$z9783030908737
001440941 77608 $$iPrint version: $$z9783030908751
001440941 830_0 $$aLecture notes in computer science ;$$v12969.
001440941 830_0 $$aLNCS sublibrary.$$nSL 6,$$pImage processing, computer vision, pattern recognition, and graphics.
001440941 852__ $$bebk
001440941 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-90874-4$$zOnline Access$$91397441.1
001440941 909CO $$ooai:library.usi.edu:1440941$$pGLOBAL_SET
001440941 980__ $$aBIB
001440941 980__ $$aEBOOK
001440941 982__ $$aEbook
001440941 983__ $$aOnline
001440941 994__ $$a92$$bISE