| Record Type: |
Electronic resources
: Monograph/item
|
| Title/Author: |
Deep generative models/ edited by Anirban Mukhopadhyay ... [et al.]. |
| Reminder of title: |
third MICCAI workshop, DGM4MICCAI 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023 : proceedings / |
| remainder title: |
DGM4MICCAI 2023 |
| other author: |
Mukhopadhyay, Anirban. |
| corporate name: |
DGM4MICCAI (Workshop) |
| Published: |
Cham :Springer Nature Switzerland : : 2024., |
| Description: |
xi, 248 p. :ill. (chiefly col.), digital ;24 cm. |
| [NT 15003449]: |
Methods -- Applications -- Methodology. Causal inference. Latent interpretation. Generative factor analysis -- Mammography. Vessel imaging -- Surgical Videos. |
| Contained By: |
Springer Nature eBook |
| Subject: |
Deep learning (Machine learning) - Congresses. - |
| Online resource: |
https://doi.org/10.1007/978-3-031-53767-7 |
| ISBN: |
9783031537677 |