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024 7 _a10.1007/978-3-031-53767-7
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245 1 0 _aDeep Generative Models
_h[electronic resource] :
_bThird MICCAI Workshop, DGM4MICCAI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings /
_cedited by Anirban Mukhopadhyay, Ilkay Oksuz, Sandy Engelhardt, Dajiang Zhu, Yixuan Yuan.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aXI, 248 p. 86 illus., 76 illus. in color.
_bonline resource.
336 _atext
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337 _acomputer
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338 _aonline resource
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490 1 _aLecture Notes in Computer Science,
_x1611-3349 ;
_v14533
505 0 _aMethods -- Applications -- Methodology. Causal inference. Latent interpretation. Generative factor analysis -- Mammography. Vessel imaging -- Surgical Videos.
520 _aThis LNCS conference volume constitutes the proceedings of the third MICCAI Workshop, DGM4MICCAI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 2023. The 23 full papers included in this volume were carefully reviewed and selected from 38 submissions. The conference presents topics ranging from methodology, causal inference, latent interpretation, generative factor analysis to applications such as mammography, vessel imaging, and surgical Videos.
650 0 _aComputer vision.
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650 0 _aMachine learning.
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650 0 _aEducation
_xData processing.
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650 0 _aApplication software.
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650 1 4 _aComputer Vision.
_997981
650 2 4 _aMachine Learning.
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650 2 4 _aComputers and Education.
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650 2 4 _aComputer and Information Systems Applications.
_997984
700 1 _aMukhopadhyay, Anirban.
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700 1 _aOksuz, Ilkay.
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700 1 _aEngelhardt, Sandy.
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700 1 _aZhu, Dajiang.
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700 1 _aYuan, Yixuan.
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830 0 _aLecture Notes in Computer Science,
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856 4 0 _uhttps://doi.org/10.1007/978-3-031-53767-7
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