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100   $a20230717d2023      u|             0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
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200 10$aBrainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries$b[electronic resource] $e8th International Workshop, BrainLes 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Revised Selected Papers /$fedited by Spyridon Bakas, Alessandro Crimi, Ujjwal Baid, Sylwia Malec, Monika Pytlarz, Bhakti Baheti, Maximilian Zenk, Reuben Dorent
205   $a1st ed. 2023.
210  1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023.
215   $a1 online resource (294 pages)
225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v13769
311 08$aPrint version: Bakas, Spyridon Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries Cham : Springer,c2023 9783031338410 
320   $aIncludes bibliographical references and index.
327   $aBrainlesion -- Brain Tumor Segmentation (BraTS) Challenge -- Brain Tumor Sequence Registration (BraTS-Reg) Challenge -- Cross-Modality Domain Adaptation (CrossMoDA) Challenge -- Federated Tumor Segmentation (FeTS) Challenge.
330   $aThis book constitutes the refereed proceedings of the 8th International MICCAI Brainlesion Workshop, BrainLes 2022, as well as the Brain Tumor Segmentation (BraTS) Challenge, the Brain Tumor Sequence Registration (BraTS-Reg) Challenge, the Cross-Modality Domain Adaptation (CrossMoDA) Challenge, and the Federated Tumor Segmentation (FeTS) Challenge. These were held jointly at the Medical Image Computing for Computer Assisted Intervention Conference, MICCAI 2022, in September 2022. The 46 revised full papers presented in these volumes were selected form 65 submissions. The presented contributions describe the research of computational scientists and clinical researchers working on brain lesions - specifically glioma, multiple sclerosis, cerebral stroke, traumatic brain injuries, vestibular schwannoma, and white matter hyper-intensities of presumed vascular origin. .
410  0$aLecture Notes in Computer Science,$x1611-3349 ;$v13769
606   $aComputer vision
606   $aMedical informatics
606   $aSocial sciences?Data processing
606   $aApplication software
606   $aEducation?Data processing
606   $aArtificial intelligence
606   $aComputer Vision
606   $aHealth Informatics
606   $aComputer Application in Social and Behavioral Sciences
606   $aComputer and Information Systems Applications
606   $aComputers and Education
606   $aArtificial Intelligence
615  0$aComputer vision.
615  0$aMedical informatics.
615  0$aSocial sciences?Data processing.
615  0$aApplication software.
615  0$aEducation?Data processing.
615  0$aArtificial intelligence.
615 14$aComputer Vision.
615 24$aHealth Informatics.
615 24$aComputer Application in Social and Behavioral Sciences.
615 24$aComputer and Information Systems Applications.
615 24$aComputers and Education.
615 24$aArtificial Intelligence.
676   $a518.1
702   $aBakas$b Spyridon
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a996542666303316
996   $aBrainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries$92032252
997   $aUNISA