000 04163nam a22006015i 4500
001 978-3-030-66843-3
003 DE-He213
005 20240730181524.0
007 cr nn 008mamaa
008 201230s2020 sz | s |||| 0|eng d
020 _a9783030668433
_9978-3-030-66843-3
024 7 _a10.1007/978-3-030-66843-3
_2doi
050 4 _aTA1634
072 7 _aUYQV
_2bicssc
072 7 _aCOM016000
_2bisacsh
072 7 _aUYQV
_2thema
082 0 4 _a006.37
_223
245 1 0 _aMachine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology
_h[electronic resource] :
_bThird International Workshop, MLCN 2020, and Second International Workshop, RNO-AI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings /
_cedited by Seyed Mostafa Kia, Hassan Mohy-ud-Din, Ahmed Abdulkadir, Cher Bass, Mohamad Habes, Jane Maryam Rondina, Chantal Tax, Hongzhi Wang, Thomas Wolfers, Saima Rathore, Madhura Ingalhalikar.
250 _a1st ed. 2020.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2020.
300 _aXVIII, 305 p. 8 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aImage Processing, Computer Vision, Pattern Recognition, and Graphics,
_x3004-9954 ;
_v12449
520 _aThis book constitutes the refereed proceedings of the Third International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2020, and the Second International Workshop on Radiogenomics in Neuro-oncology, RNO-AI 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020.* For MLCN 2020, 18 papers out of 28 submissions were accepted for publication. The accepted papers present novel contributions in both developing new machine learning methods and applications of existing methods to solve challenging problems in clinical neuroimaging. For RNO-AI 2020, all 8 submissions were accepted for publication. They focus on addressing the problems of applying machine learning to large and multi-site clinical neuroimaging datasets. The workshop aimed to bring together experts in both machine learning and clinical neuroimaging to discuss and hopefully bridge the existing challenges of applied machine learning in clinical neuroscience. *The workshops were held virtually due to the COVID-19 pandemic.
650 0 _aComputer vision.
_9125181
650 1 4 _aComputer Vision.
_9125182
700 1 _aKia, Seyed Mostafa.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9125183
700 1 _aMohy-ud-Din, Hassan.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9125184
700 1 _aAbdulkadir, Ahmed.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9125185
700 1 _aBass, Cher.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9125186
700 1 _aHabes, Mohamad.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9125187
700 1 _aRondina, Jane Maryam.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9125188
700 1 _aTax, Chantal.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9125189
700 1 _aWang, Hongzhi.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_94897
700 1 _aWolfers, Thomas.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9125190
700 1 _aRathore, Saima.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9125191
700 1 _aIngalhalikar, Madhura.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9125192
710 2 _aSpringerLink (Online service)
_9125193
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030668426
776 0 8 _iPrinted edition:
_z9783030668440
830 0 _aImage Processing, Computer Vision, Pattern Recognition, and Graphics,
_x3004-9954 ;
_v12449
_9125194
856 4 0 _uhttps://doi.org/10.1007/978-3-030-66843-3
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
912 _aZDB-2-LNC
942 _cELN
999 _c90941
_d90941