LEADER 03732nam 22008175 450 001 996636771003316 005 20251113180250.0 010 $a9783031761638 010 $a3031761634 024 7 $a10.1007/978-3-031-76163-8 035 $a(MiAaPQ)EBC31862029 035 $a(Au-PeEL)EBL31862029 035 $a(CKB)37083957300041 035 $a(DE-He213)978-3-031-76163-8 035 $a(OCoLC)1485003403 035 $a(EXLCZ)9937083957300041 100 $a20241227d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBrain Tumor Segmentation, and Cross-Modality Domain Adaptation for Medical Image Segmentation $eMICCAI Challenges, BraTS 2023 and CrossMoDA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12 and 8, 2024, Proceedings /$fedited by Ujjwal Baid, Reuben Dorent, Sylwia Malec, Monika Pytlarz, Ruisheng Su, Navodini Wijethilake, Spyridon Bakas, Alessandro Crimi 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (407 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v14669 311 08$a9783031761621 311 08$a3031761626 330 $aThis book constitutes the refereed proceedings of the Brain Tumor Segmentation Challenge, BraTS 2023, as well as the Cross-Modality Domain Adaptation Challenge, CrossMoDA 2023. These events were held in conjunction with the Medical Image Computing for Computer Assisted Intervention Conference, MICCAI 2023, during October 8-12, 2023. The 37 full papers presented in this volume were selected form 23 submissions. They describe the research of computational scientists and clinical researchers working on brain lesions, and specifically glioma, multiple sclerosis, cerebral stroke, traumatic brain injuries, vestibular schwannoma, and white matter hyper-intensities of presumed vascular origin. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v14669 606 $aComputer vision 606 $aMedical informatics 606 $aSocial sciences$xData processing 606 $aApplication software 606 $aEducation$xData 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$xData processing. 615 0$aApplication software. 615 0$aEducation$xData 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 $a006.37 700 $aBaid$b Ujjwal$01631608 701 $aDorent$b Reuben$01631613 701 $aMalec$b Sylwia$01631609 701 $aPytlarz$b Monika$01631610 701 $aSu$b Ruisheng$01781479 701 $aWijethilake$b Navodini$01781480 701 $aBakas$b Spyridon$01631607 701 $aCrimi$b Alessandro$01354885 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996636771003316 996 $aBrain Tumor Segmentation, and Cross-Modality Domain Adaptation for Medical Image Segmentation$94306424 997 $aUNISA