001     166170
005     20240229133518.0
024 7 _ |a 10.1016/j.media.2020.101920
|2 doi
024 7 _ |a 1361-8415
|2 ISSN
024 7 _ |a 1361-8423
|2 ISSN
024 7 _ |a 1361-8431
|2 ISSN
037 _ _ |a DKFZ-2020-02672
082 _ _ |a 610
100 1 _ |a Ross, Tobias
|0 P:(DE-He78)47f4a97043307540977baf09618b5d3d
|b 0
|e First author
|u dkfz
245 _ _ |a Comparative validation of multi-instance instrument segmentation in endoscopy: results of the ROBUST-MIS 2019 challenge
260 _ _ |a Amsterdam [u.a.]
|c 2021
|b Elsevier Science
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1709106127_767
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
500 _ _ |a #EA:E130#LA:E130# / Volume 70, May 2021, 101920
536 _ _ |a 315 - Bildgebung und Radioonkologie (POF4-315)
|0 G:(DE-HGF)POF4-315
|c POF4-315
|f POF IV
|x 0
588 _ _ |a Dataset connected to CrossRef
700 1 _ |a Reinke, Annika
|0 P:(DE-He78)97e904f47dab556a77c0149cd0002591
|b 1
|u dkfz
700 1 _ |a Full, Peter M.
|0 P:(DE-He78)e9dc924f238fa6cc29465942875fe8f0
|b 2
|u dkfz
700 1 _ |a Wagner, Martin
|b 3
700 1 _ |a Kenngott, Hannes
|b 4
700 1 _ |a Apitz, Martin
|b 5
700 1 _ |a Hempe, Hellena
|0 P:(DE-He78)da8f1598d3f8fda8a28b67a3b2d740f3
|b 6
|u dkfz
700 1 _ |a Mindroc Filimon, Diana
|0 0000-0002-3104-2129
|b 7
700 1 _ |a Scholz, Patrick
|0 P:(DE-He78)77a2a5b07dcbd46277a18a32372ea154
|b 8
|u dkfz
700 1 _ |a Tran, Thuy Nuong
|0 P:(DE-He78)96509db5798da9bcccf0d34db39f50e7
|b 9
|u dkfz
700 1 _ |a Bruno, Pierangela
|0 P:(DE-He78)861d46b75ffd6c1abb386ca3c5197bac
|b 10
|u dkfz
700 1 _ |a Arbeláez, Pablo
|b 11
700 1 _ |a Bian, Gui-Bin
|b 12
700 1 _ |a Bodenstedt, Sebastian
|b 13
700 1 _ |a Bolmgren, Jon Lindström
|0 0000-0001-7838-2406
|b 14
700 1 _ |a Bravo-Sánchez, Laura
|0 0000-0003-3556-3391
|b 15
700 1 _ |a Chen, Hua-Bin
|b 16
700 1 _ |a González, Cristina
|b 17
700 1 _ |a Guo, Dong
|b 18
700 1 _ |a Halvorsen, Pål
|b 19
700 1 _ |a Heng, Pheng-Ann
|0 0000-0003-3055-5034
|b 20
700 1 _ |a Hosgor, Enes
|b 21
700 1 _ |a Hou, Zeng-Guang
|b 22
700 1 _ |a Isensee, Fabian
|0 P:(DE-He78)7ea9af59d03ec7deb982a0e0562358fa
|b 23
|u dkfz
700 1 _ |a Jha, Debesh
|b 24
700 1 _ |a Jiang, Tingting
|0 0000-0002-5372-0656
|b 25
700 1 _ |a Jin, Yueming
|0 0000-0003-3775-3877
|b 26
700 1 _ |a Kirtac, Kadir
|b 27
700 1 _ |a Kletz, Sabrina
|0 0000-0002-7275-0594
|b 28
700 1 _ |a Leger, Stefan
|b 29
700 1 _ |a Li, Zhixuan
|b 30
700 1 _ |a Maier-Hein, Klaus H.
|0 P:(DE-He78)33c74005e1ce56f7025c4f6be15321b3
|b 31
|u dkfz
700 1 _ |a Ni, Zhen-Liang
|b 32
700 1 _ |a Riegler, Michael A.
|b 33
700 1 _ |a Schoeffmann, Klaus
|b 34
700 1 _ |a Shi, Ruohua
|0 0000-0003-2895-1716
|b 35
700 1 _ |a Speidel, Stefanie
|b 36
700 1 _ |a Stenzel, Michael
|0 0000-0001-8627-1140
|b 37
700 1 _ |a Twick, Isabell
|b 38
700 1 _ |a Wang, Gutai
|0 0000-0002-8632-158X
|b 39
700 1 _ |a Wang, Jiacheng
|b 40
700 1 _ |a Wang, Liansheng
|b 41
700 1 _ |a Wang, Lu
|b 42
700 1 _ |a Zhang, Yujie
|b 43
700 1 _ |a Zhou, Yan-Jie
|b 44
700 1 _ |a Zhu, Lei
|b 45
700 1 _ |a Wiesenfarth, Manuel
|0 P:(DE-He78)1042737c83ba70ec508bdd99f0096864
|b 46
|u dkfz
700 1 _ |a Kopp-Schneider, Annette
|0 P:(DE-He78)bb6a7a70f976eb8df1769944bf913596
|b 47
|u dkfz
700 1 _ |a Müller-Stich, Beat P.
|b 48
700 1 _ |a Maier-Hein, Lena
|0 P:(DE-He78)26a1176cd8450660333a012075050072
|b 49
|e Last author
|u dkfz
773 _ _ |a 10.1016/j.media.2020.101920
|g p. 101920 -
|0 PERI:(DE-600)1497450-2
|p 101920
|t Medical image analysis
|v 70
|y 2021
|x 1361-8415
909 C O |p VDB
|o oai:inrepo02.dkfz.de:166170
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 0
|6 P:(DE-He78)47f4a97043307540977baf09618b5d3d
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 1
|6 P:(DE-He78)97e904f47dab556a77c0149cd0002591
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 2
|6 P:(DE-He78)e9dc924f238fa6cc29465942875fe8f0
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 6
|6 P:(DE-He78)da8f1598d3f8fda8a28b67a3b2d740f3
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 7
|6 0000-0002-3104-2129
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 8
|6 P:(DE-He78)77a2a5b07dcbd46277a18a32372ea154
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 9
|6 P:(DE-He78)96509db5798da9bcccf0d34db39f50e7
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 10
|6 P:(DE-He78)861d46b75ffd6c1abb386ca3c5197bac
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 23
|6 P:(DE-He78)7ea9af59d03ec7deb982a0e0562358fa
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 31
|6 P:(DE-He78)33c74005e1ce56f7025c4f6be15321b3
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 46
|6 P:(DE-He78)1042737c83ba70ec508bdd99f0096864
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 47
|6 P:(DE-He78)bb6a7a70f976eb8df1769944bf913596
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 49
|6 P:(DE-He78)26a1176cd8450660333a012075050072
913 1 _ |a DE-HGF
|b Gesundheit
|l Krebsforschung
|1 G:(DE-HGF)POF4-310
|0 G:(DE-HGF)POF4-315
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-300
|4 G:(DE-HGF)POF
|v Bildgebung und Radioonkologie
|x 0
913 2 _ |a DE-HGF
|b Gesundheit
|l Krebsforschung
|1 G:(DE-HGF)POF4-310
|0 G:(DE-HGF)POF4-315
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-300
|4 G:(DE-HGF)POF
|v Bildgebung und Radioonkologie
|x 0
914 1 _ |y 2021
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2020-09-12
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2020-09-12
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2020-09-12
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2020-09-12
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1160
|2 StatID
|b Current Contents - Engineering, Computing and Technology
|d 2020-09-12
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2020-09-12
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2020-09-12
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b MED IMAGE ANAL : 2018
|d 2020-09-12
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
|d 2020-09-12
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
|d 2020-09-12
915 _ _ |a IF >= 5
|0 StatID:(DE-HGF)9905
|2 StatID
|b MED IMAGE ANAL : 2018
|d 2020-09-12
920 1 _ |0 I:(DE-He78)E130-20160331
|k E130
|l E130 Intelligente Medizinische Systeme
|x 0
920 1 _ |0 I:(DE-He78)E230-20160331
|k E230
|l E230 Medizinische Bildverarbeitung
|x 1
920 1 _ |0 I:(DE-He78)C060-20160331
|k C060
|l C060 Biostatistik
|x 2
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-He78)E130-20160331
980 _ _ |a I:(DE-He78)E230-20160331
980 _ _ |a I:(DE-He78)C060-20160331
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21