Deep generative models : third MICCAI workshop, DGM4MICCAI 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, proceedings / Anirban Mukhopadhyay, Ilkay Oksuz, Sandy Engelhardt, Dajiang Zhu, Yixuan Yuan, editors.
Material type:
TextSeries: Lecture notes in computer science ; 14533.Publisher: Cham : Springer, [2024]Copyright date: ©2024Description: 1 online resource (xi, 248 pages) : illustrations (chiefly color)Content type: - text
- computer
- online resource
- 9783031537677
- 303153767X
- DGM4MICCAI 2023
- 006.3/1 23/eng/20240229
- Q325.73
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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eBook
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e-Library | eBook LNCS | Available |
International conference proceedings.
Includes author index.
This 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.
Methods -- Applications -- Methodology. Causal inference. Latent interpretation. Generative factor analysis -- Mammography. Vessel imaging -- Surgical Videos.
Online resource; title from PDF title page (SpringerLink, viewed February 29, 2024).
References