國立高雄大學圖資館 |

登入

回首頁

Graphs in biomedical image analysis6th International Workshop, GRAIL 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024 : proceedings /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Graphs in biomedical image analysisedited by Seyed-Ahmad Ahmadi, Anees Kazi.
其他題名:	6th International Workshop, GRAIL 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024 : proceedings /
其他題名:	GRAIL 2024
其他作者:	Ahmadi, Seyed-Ahmad.
團體作者:
出版者:	Cham :Springer Nature Switzerland :2025.
面頁冊數:	xii, 142 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Diagnostic imagingCongresses.
電子資源:	https://doi.org/10.1007/978-3-031-83243-7
ISBN:	9783031832437$q(electronic bk.)

Graphs in biomedical image analysis6th International Workshop, GRAIL 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024 : proceedings /
Graphs in biomedical image analysis6th International Workshop, GRAIL 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024 : proceedings /[electronic resource] :GRAIL 2024edited by Seyed-Ahmad Ahmadi, Anees Kazi. - Cham :Springer Nature Switzerland :2025. - xii, 142 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,151821611-3349 ;. - Lecture notes in computer science ;4891..

This 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.

ISBN: 9783031832437$q(electronic bk.)

Standard No.: 10.1007/978-3-031-83243-7doiSubjects--Topical Terms:

387225
Diagnostic imaging
--Congresses.

LC Class. No.: RC78.7.D53

Dewey Class. No.: 616.0754

Graphs in biomedical image analysis6th International Workshop, GRAIL 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024 : proceedings /
LDR:01979nmm a2200349 a 4500 001 679746
003 DE-He213
005 20250301115231.0
006 m d
007 cr nn 008maaau
008 251110s2025 sz s 0 eng d
020 $a 9783031832437$q(electronic bk.)
020 $a 9783031832420$q(paper)
024 7 $a 10.1007/978-3-031-83243-7 $2 doi
035 $a 978-3-031-83243-7
040 $a GP $c GP
041 0 $a eng
050 4 $a RC78.7.D53
072 7 $a UY $2 bicssc
072 7 $a COM000000 $2 bisacsh
072 7 $a UY $2 thema
082 0 4 $a 616.0754 $2 23
090 $a RC78.7.D53 $b G743 2024
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Graphs in biomedical image analysis $h [electronic resource] : $b 6th International Workshop, GRAIL 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024 : proceedings / $c edited by Seyed-Ahmad Ahmadi, Anees Kazi.
246 3 $a GRAIL 2024
246 3 $a MICCAI 2024
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2025.
300 $a xii, 142 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 1611-3349 ; $v 15182
520 $a This 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.
650 0 $a Diagnostic imaging $v Congresses. $3 387225
650 0 $a Imaging systems in medicine $x Mathematics $v Congresses. $3 940062
650 1 4 $a Computer Science. $3 212513
650 2 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Machine Learning. $3 833608
700 1 $a Ahmadi, Seyed-Ahmad. $3 977216
700 1 $a Kazi, Anees. $3 992575
710 2 $a SpringerLink (Online service) $3 273601
711 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in computer science ; $v 4891. $3 383229
856 4 0 $u https://doi.org/10.1007/978-3-031-83243-7
950 $a Computer Science (SpringerNature-11645)