LEADER 02308nas 2200721-a 450 001 996216249003316 005 20240115213021.0 011 $a1029-0397 035 $a(DE-599)ZDB2038320-4 035 $a(OCoLC)50166331 035 $a(CKB)954925515508 035 $a(CONSER)--2007233301 035 $a(EXLCZ)99954925515508 100 $a20020713a19719999 --- a 101 0 $aeng 135 $aurmnu|||||||| 135 $aurbn||||||abp 135 $aurbn||||||ada 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aInternational journal of environmental analytical chemistry 210 $a[London] $cGordon and Breach$d1971- 300 $aRefereed/Peer-reviewed 300 $aTitle from contents screen (Informaworld, viewed Apr. 2, 2007). 300 $aSome issues also have distinctive titles. 300 $aPublished: Taylor & Francis, <2006-> 311 $a0306-7319 517 3 $aEnvironmental analytical chemistry 531 $aINT J ENVIRON ANAL CHEM 531 $aINT J ENVIRON AN CH 531 $aINT J ENV A 531 $aINT. J. ENVIRON. ANAL. CHEM 531 0 $aInt. j. environ. anal. chem. 606 $aEcology$vPeriodicals 606 $aAnalytical chemistry$vPeriodicals 606 $aEnvironmental chemistry$vPeriodicals 606 $aPollution$vPeriodicals 606 $aChemistry 606 $aEnvironment 606 $aAnalytical chemistry$2fast$3(OCoLC)fst00853459 606 $aEcology$2fast$3(OCoLC)fst00901476 606 $aEnvironmental chemistry$2fast$3(OCoLC)fst00912860 606 $aPollution$2fast$3(OCoLC)fst01070069 608 $aPeriodical. 608 $aPeriodicals.$2fast 615 0$aEcology 615 0$aAnalytical chemistry 615 0$aEnvironmental chemistry 615 0$aPollution 615 2$aChemistry. 615 2$aEnvironment. 615 7$aAnalytical chemistry. 615 7$aEcology. 615 7$aEnvironmental chemistry. 615 7$aPollution. 676 $a543 712 02$aInternational Association of Environmental Analytical Chemistry. 712 02$aTaylor & Francis, 906 $aJOURNAL 912 $a996216249003316 996 $aInternational journal of environmental analytical chemistry$92314950 997 $aUNISA LEADER 00760nam0-2200253 --450 001 9910978584403321 005 20250219152540.0 100 $a20250219d1954----kmuy0itay5050 ba 101 0 $aeng 102 $aDE 105 $aac 001yy 200 1 $aAlgenreinkulturen ihre Gerstellung und Erhaltung$fvon E.G. Pringsheim 210 $aJena$cGustav Fischer$d1954 215 $a109 p., 1 carta di tav.$cill.$d21 cm 610 0 $aAlghe 676 $a579$v23$zita 700 1$aPringsheim,$bErnst Georg$c$01788823 801 0$aIT$bUNINA$gREICAT$2UNIMARC 901 $aBK 912 $a9910978584403321 952 $aA BOT 186$b03/1517/25$ffFAGBC 959 $aFAGBC 996 $aAlgenreinkulturen ihre Gerstellung und Erhaltung$94324042 997 $aUNINA LEADER 02725nam 22005655 450 001 9910984589303321 005 20250301115231.0 010 $a9783031832437$b(electronic bk.) 010 $z9783031832420 024 7 $a10.1007/978-3-031-83243-7 035 $a(MiAaPQ)EBC31928867 035 $a(Au-PeEL)EBL31928867 035 $a(CKB)37744242500041 035 $a(DE-He213)978-3-031-83243-7 035 $a(EXLCZ)9937744242500041 100 $a20250301d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aGraphs in Biomedical Image Analysis $e6th International Workshop, GRAIL 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings /$fedited by Seyed-Ahmad Ahmadi, Anees Kazi 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (273 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v15182 311 08$aPrint version: Ahmadi, Seyed-Ahmad Graphs in Biomedical Image Analysis Cham : Springer,c2025 9783031832420 330 $aThis book constitutes the refereed proceedings of the 6th International Workshop on Graphs in Biomedical Image Analysis, GRAIL 2024, held in conjunction with MICCAI 2024, in Marrakesh, Morocco, on October 6, 2024. The 12 full papers included in this volume were carefully reviewed and selected from 19 submissions. The papers cover a wide range of topics, such as deep/machine learning on graphs; probabilistic graphical models for biomedical data analysis; signal processing on graphs for biomedical image analysis; explainable AI (XAI) methods in geometric deep learning; big data analysis with graphs; graphs for small data sets; semantic graph research in medicine; modeling and applications of graph symmetry/equivariance; or graph generative models. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v15182 606 $aComputer science 606 $aArtificial intelligence 606 $aMachine learning 606 $aComputer Science 606 $aArtificial Intelligence 606 $aMachine Learning 615 0$aComputer science. 615 0$aArtificial intelligence. 615 0$aMachine learning. 615 14$aComputer Science. 615 24$aArtificial Intelligence. 615 24$aMachine Learning. 676 $a004 700 $aAhmadi$b Seyed-Ahmad$01732904 701 $aKazi$b Anees$01790068 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910984589303321 996 $aGraphs in Biomedical Image Analysis$94326191 997 $aUNINA