Language:
English
繁體中文
Help
回圖書館首頁
手機版館藏查詢
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Graphs in biomedical image analysis ...
~
GRAIL (Workshop) (2024 :)
Linked to FindBook
Google Book
Amazon
博客來
Graphs in biomedical image analysis = 6th International Workshop, GRAIL 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024 : proceedings /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Graphs in biomedical image analysis/ edited by Seyed-Ahmad Ahmadi, Anees Kazi.
Reminder of title:
6th International Workshop, GRAIL 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024 : proceedings /
remainder title:
GRAIL 2024
other author:
Ahmadi, Seyed-Ahmad.
corporate name:
GRAIL (Workshop)
Published:
Cham :Springer Nature Switzerland : : 2025.,
Description:
xii, 142 p. :ill. (some col.), digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
Diagnostic imaging - Congresses. -
Online resource:
https://doi.org/10.1007/978-3-031-83243-7
ISBN:
9783031832437
Graphs in biomedical image analysis = 6th International Workshop, GRAIL 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024 : proceedings /
Graphs in biomedical image analysis
6th 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 ;15182..
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
Standard No.: 10.1007/978-3-031-83243-7doiSubjects--Topical Terms:
879904
Diagnostic imaging
--Congresses.
LC Class. No.: RC78.7.D53
Dewey Class. No.: 616.0754
Graphs in biomedical image analysis = 6th International Workshop, GRAIL 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024 : proceedings /
LDR
:01978nmm a2200349 a 4500
001
2408749
003
DE-He213
005
20250301115231.0
006
m d
007
cr nn 008maaau
008
260204s2025 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
$a
GRAIL (Workshop)
$n
(6th :
$d
2024 :
$c
Marrakesh, Morocco)
$3
3781516
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
879904
650
0
$a
Imaging systems in medicine
$x
Mathematics
$v
Congresses.
$3
3611391
650
1 4
$a
Computer Science.
$3
626642
650
2 4
$a
Artificial Intelligence.
$3
769149
650
2 4
$a
Machine Learning.
$3
3382522
700
1
$a
Ahmadi, Seyed-Ahmad.
$3
3714698
700
1
$a
Kazi, Anees.
$3
3781517
710
2
$a
SpringerLink (Online service)
$3
836513
711
2
$a
International Conference on Medical Image Computing and Computer-Assisted Intervention
$n
(27th :
$d
2024 :
$c
Marrakesh, Morocco)
$3
3724075
773
0
$t
Springer Nature eBook
830
0
$a
Lecture notes in computer science ;
$v
15182.
$3
3781518
856
4 0
$u
https://doi.org/10.1007/978-3-031-83243-7
950
$a
Computer Science (SpringerNature-11645)
based on 0 review(s)
Location:
ALL
電子資源
Year:
Volume Number:
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
W9514247
電子資源
11.線上閱覽_V
電子書
EB RC78.7.D53
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login