01228nam a2200349 i 450099100080979970753620020507173852.0950622s1982 us ||| | eng 0387907602b10760295-39ule_instLE01302659ExLDip.to Matematicaeng516.02AMS 01A45AMS 51-03QA491.D473F43Federico, Pasquale Joseph535119Descartes on polyhedra :a study of the De solidorum elementis /P. J. FedericoNew York :Springer-Verlag,c1982vi, 145 p. ;24 cm.Sources in the history of mathematics and physical sciences ;4Bibliography: p. [137]-142.Includes indexDescartes, René, 1596-1650Mathematics-history-17th centuryPolyhedra.b1076029523-02-1728-06-02991000809799707536LE013 01A FED11 (1982)12013000030920le013-E0.00-l- 00000.i1085544028-06-02Descartes on polyhedra923167UNISALENTOle01301-01-95ma -engus 0103732nam 22008175 450 99663677100331620251113180250.09783031761638303176163410.1007/978-3-031-76163-8(MiAaPQ)EBC31862029(Au-PeEL)EBL31862029(CKB)37083957300041(DE-He213)978-3-031-76163-8(OCoLC)1485003403(EXLCZ)993708395730004120241227d2024 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierBrain Tumor Segmentation, and Cross-Modality Domain Adaptation for Medical Image Segmentation MICCAI Challenges, BraTS 2023 and CrossMoDA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12 and 8, 2024, Proceedings /edited by Ujjwal Baid, Reuben Dorent, Sylwia Malec, Monika Pytlarz, Ruisheng Su, Navodini Wijethilake, Spyridon Bakas, Alessandro Crimi1st ed. 2024.Cham :Springer Nature Switzerland :Imprint: Springer,2024.1 online resource (407 pages)Lecture Notes in Computer Science,1611-3349 ;146699783031761621 3031761626 This 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.Lecture Notes in Computer Science,1611-3349 ;14669Computer visionMedical informaticsSocial sciencesData processingApplication softwareEducationData processingArtificial intelligenceComputer VisionHealth InformaticsComputer Application in Social and Behavioral SciencesComputer and Information Systems ApplicationsComputers and EducationArtificial IntelligenceComputer vision.Medical informatics.Social sciencesData processing.Application software.EducationData processing.Artificial intelligence.Computer Vision.Health Informatics.Computer Application in Social and Behavioral Sciences.Computer and Information Systems Applications.Computers and Education.Artificial Intelligence.006.37Baid Ujjwal1631608Dorent Reuben1631613Malec Sylwia1631609Pytlarz Monika1631610Su Ruisheng1781479Wijethilake Navodini1781480Bakas Spyridon1631607Crimi Alessandro1354885MiAaPQMiAaPQMiAaPQBOOK996636771003316Brain Tumor Segmentation, and Cross-Modality Domain Adaptation for Medical Image Segmentation4306424UNISA