國立虎尾科技大學 |

Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis = First MICCAI Workshop, ISGIE 2022, and Fourth MICCAI Workshop, GRAIL 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis/ edited by Luigi Manfredi, Seyed-Ahmad Ahmadi, Michael Bronstein, Anees Kazi, Davide Lomanto, Alwyn Mathew, Ludovic Magerand, Kamilia Mullakaeva, Bartlomiej Papiez, Russell H. Taylor, Emanuele Trucco.
Reminder of title:	First MICCAI Workshop, ISGIE 2022, and Fourth MICCAI Workshop, GRAIL 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings /
other author:	Manfredi, Luigi.
Description:	XII, 129 p. 35 illus., 34 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Image processing—Digital techniques. -
Online resource:	https://doi.org/10.1007/978-3-031-21083-9
ISBN:	9783031210839

Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis = First MICCAI Workshop, ISGIE 2022, and Fourth MICCAI Workshop, GRAIL 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings /
Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image AnalysisFirst MICCAI Workshop, ISGIE 2022, and Fourth MICCAI Workshop, GRAIL 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings /[electronic resource] :edited by Luigi Manfredi, Seyed-Ahmad Ahmadi, Michael Bronstein, Anees Kazi, Davide Lomanto, Alwyn Mathew, Ludovic Magerand, Kamilia Mullakaeva, Bartlomiej Papiez, Russell H. Taylor, Emanuele Trucco. - 1st ed. 2022. - XII, 129 p. 35 illus., 34 illus. in color.online resource. - Lecture Notes in Computer Science,137541611-3349 ;. - Lecture Notes in Computer Science,9324.

Imaging Systems for GI Endoscopy -- Light Adaptation for Classiﬁcation of the Upper Gastrointestinal Sites -- Criss-Cross Attention based Multi-Level Fusion Network for Gastric Intestinal Metaplasia Segmentation -- Colonoscopy Landmark Detection using Vision Transformers -- Real-Time Lumen Detection for Autonomous Colonoscopy -- SuperPoint Features in Endoscopy -- Estimating the Coverage in 3D Reconstructions of the Colon from Colonoscopy Videos -- Graphs in Biomedical Image Analysis -- Modular Graph Encoding and Hierarchical Readout for Functional Brain Network based eMCI Diagnosis -- Bayesian Filtered Generation of Post-surgical Brain Connectomes on Tumor Patients -- Deep Cross-Modality and Resolution Graph Integration for Universal Brain Connectivity Mapping and Augmentation -- Using Hierarchically Connected Nodes and Multiple GNN Message Passing Steps to Increase the Contextual Information in Cell-Graph Classiﬁcation -- TaG-Net: Topology-aware Graph Network for Vessel Labeling -- Transforming connectomes to “any” parcellation via graph matching.

This book constitutes the refereed proceedings of the first MICCAI Workshop, ISGIE 2022, Imaging Systems for GI Endoscopy, and the Fourth MICCAI Workshop, GRAIL 2022, GRaphs in biomedicAL Image and analysis, held in conjunction with MICCAI 2022, Singapore, September 18, 2022. ISGIE 2022 accepted 6 papers from the 8 submissions received.This workshop focuses on novel scientific contributions to vision systems, imaging algorithms as well as the autonomous system for endorobot for GI endoscopy. This includes lesion and lumen detection, as well as 3D reconstruction of the GI tract and hand-eye coordination. GRAIL 2022 accepted 6 papers from the 10 submissions received. The workshop aims to bring together scientists that use and develop graph-based models for the analysis of biomedical images and to encourage the exploration of graph-based models for difficult clinical problems within a variety of biomedical imaging contexts.

ISBN: 9783031210839

Standard No.: 10.1007/978-3-031-21083-9doiSubjects--Topical Terms:

1365735
Image processing—Digital techniques.

LC Class. No.: TA1501-1820

Dewey Class. No.: 006

Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis = First MICCAI Workshop, ISGIE 2022, and Fourth MICCAI Workshop, GRAIL 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings /
LDR:03774nam a22004215i 4500 001 1086316
003 DE-He213
005 20221209140914.0
007 cr nn 008mamaa
008 221228s2022 sz | s |||| 0|eng d
020 $a 9783031210839 $9 978-3-031-21083-9
024 7 $a 10.1007/978-3-031-21083-9 $2 doi
035 $a 978-3-031-21083-9
050 4 $a TA1501-1820
050 4 $a TA1634
072 7 $a UYT $2 bicssc
072 7 $a COM016000 $2 bisacsh
072 7 $a UYT $2 thema
082 0 4 $a 006 $2 23
245 1 0 $a Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis $h [electronic resource] : $b First MICCAI Workshop, ISGIE 2022, and Fourth MICCAI Workshop, GRAIL 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings / $c edited by Luigi Manfredi, Seyed-Ahmad Ahmadi, Michael Bronstein, Anees Kazi, Davide Lomanto, Alwyn Mathew, Ludovic Magerand, Kamilia Mullakaeva, Bartlomiej Papiez, Russell H. Taylor, Emanuele Trucco.
250 $a 1st ed. 2022.
264 1 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2022.
300 $a XII, 129 p. 35 illus., 34 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Lecture Notes in Computer Science, $x 1611-3349 ; $v 13754
505 0 $a Imaging Systems for GI Endoscopy -- Light Adaptation for Classiﬁcation of the Upper Gastrointestinal Sites -- Criss-Cross Attention based Multi-Level Fusion Network for Gastric Intestinal Metaplasia Segmentation -- Colonoscopy Landmark Detection using Vision Transformers -- Real-Time Lumen Detection for Autonomous Colonoscopy -- SuperPoint Features in Endoscopy -- Estimating the Coverage in 3D Reconstructions of the Colon from Colonoscopy Videos -- Graphs in Biomedical Image Analysis -- Modular Graph Encoding and Hierarchical Readout for Functional Brain Network based eMCI Diagnosis -- Bayesian Filtered Generation of Post-surgical Brain Connectomes on Tumor Patients -- Deep Cross-Modality and Resolution Graph Integration for Universal Brain Connectivity Mapping and Augmentation -- Using Hierarchically Connected Nodes and Multiple GNN Message Passing Steps to Increase the Contextual Information in Cell-Graph Classiﬁcation -- TaG-Net: Topology-aware Graph Network for Vessel Labeling -- Transforming connectomes to “any” parcellation via graph matching.
520 $a This book constitutes the refereed proceedings of the first MICCAI Workshop, ISGIE 2022, Imaging Systems for GI Endoscopy, and the Fourth MICCAI Workshop, GRAIL 2022, GRaphs in biomedicAL Image and analysis, held in conjunction with MICCAI 2022, Singapore, September 18, 2022. ISGIE 2022 accepted 6 papers from the 8 submissions received.This workshop focuses on novel scientific contributions to vision systems, imaging algorithms as well as the autonomous system for endorobot for GI endoscopy. This includes lesion and lumen detection, as well as 3D reconstruction of the GI tract and hand-eye coordination. GRAIL 2022 accepted 6 papers from the 10 submissions received. The workshop aims to bring together scientists that use and develop graph-based models for the analysis of biomedical images and to encourage the exploration of graph-based models for difficult clinical problems within a variety of biomedical imaging contexts.
650 0 $a Image processing—Digital techniques. $3 1365735
650 0 $a Computer vision. $3 561800
650 0 $a Computer engineering. $3 569006
650 0 $a Computer networks . $3 1365720
650 0 $a Artificial intelligence. $3 559380
650 0 $a Education—Data processing. $3 1253610
650 0 $a Social sciences—Data processing. $3 1280453
650 1 4 $a Computer Imaging, Vision, Pattern Recognition and Graphics. $3 671334
650 2 4 $a Computer Engineering and Networks. $3 1365733
650 2 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Computers and Education. $3 669806
650 2 4 $a Computer Application in Social and Behavioral Sciences. $3 1365738
700 1 $a Manfredi, Luigi. $e editor. $1 https://orcid.org/0000-0001-8130-9701 $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1393064
700 1 $a Ahmadi, Seyed-Ahmad. $e editor. $1 https://orcid.org/0000-0002-7082-0739 $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1393065
700 1 $a Bronstein, Michael. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1393066
700 1 $a Kazi, Anees. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1393067
700 1 $a Lomanto, Davide. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1314204
700 1 $a Mathew, Alwyn. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1393068
700 1 $a Magerand, Ludovic. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1393069
700 1 $a Mullakaeva, Kamilia. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1393070
700 1 $a Papiez, Bartlomiej. $e editor. $1 https://orcid.org/0000-0002-8432-2511 $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1278884
700 1 $a Taylor, Russell H. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 787080
700 1 $a Trucco, Emanuele. $e editor. $1 https://orcid.org/0000-0002-5055-0794 $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1282890
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783031210822
776 0 8 $i Printed edition: $z 9783031210846
830 0 $a Lecture Notes in Computer Science, $x 0302-9743 ; $v 9324 $3 1258960
856 4 0 $u https://doi.org/10.1007/978-3-031-21083-9
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
912 $a ZDB-2-LNC
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)