000 02369nam a2200385Ia 4500
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001 978-3-031-44858-4
003 DE-He213
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007 cr nn 008mamaa
008 231007s2023 sz | s |||| 0|eng d
020 _a9783031448584
_9978-3-031-44858-4
082 _a6.37
245 _aMachine Learning in Clinical Neuroimaging
_cedited by Ahmed Abdulkadir, Deepti R. Bathula, Nicha C. Dvornek, Sindhuja T. Govindarajan, Mohamad Habes, Vinod Kumar, Esten Leonardsen, Thomas Wolfers, Yiming Xiao.
_h[electronic resource] :
250 _a1st ed. 2023.
260 _aCham
_bSpringer Nature Switzerland
_c2023
300 _aX, 174 p. 52 illus., 47 illus. in color.
_bonline resource.
520 _aThis book constitutes the refereed proceedings of the 6th International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2023, held in Conjunction with MICCAI 2023 in Vancouver, Canada, in October 2023. The book includes 16 papers which were carefully reviewed and selected from 28 full-length submissions. The 6th International Workshop on Machine Learning in Clinical Neuroimaging (MLCN 2023) aims to bring together the top researchers in both machine learning and clinical neuroscience as well as tech-savvy clinicians to address two main challenges: 1) development of methodological approaches for analyzing complex and heterogeneous neuroimaging data (machine learning track); and 2) filling the translational gap in applying existing machine learning methods in clinical practices (clinical neuroimaging track). The papers are categorzied into topical sub-headings on Machine Learning and Clinical Applications.
650 _aComputer Application in Social and Behavioral Sciences.
_938137
650 _aComputer vision.
_938138
650 _aComputer Vision.
_938139
650 _aComputers.
_938140
650 _aComputing Milieux.
_938141
650 _aMachine learning.
_938142
650 _aMachine Learning.
_938143
650 _aSocial sciences
_938144
700 _aAbdulkadir, Ahmed.
_938145
700 _aBathula, Deepti R.
_938146
700 _aDvornek, Nicha C.
_938147
700 _aGovindarajan, Sindhuja T.
_938148
700 _aHabes, Mohamad.
_938149
700 _aKumar, Vinod.
_938150
856 _uhttps://doi.org/10.1007/978-3-031-44858-4
942 _cEBK
_2ddc
999 _c15769
_d15769