Deep Generative Models

Deep Generative Models

  • Anirban Mukhopadhyay
  • Ilkay Oksuz
  • Sandy Engelhardt
  • Dorit Mehrof
  • Yixuan Yuan
Publisher:Springer NatureISBN 13: 9783031727443ISBN 10: 3031727444

Paperback & Hardcover deals ―

Amazon IndiaGOFlipkart GOSnapdealGOSapnaOnlineGOJain Book AgencyGOBooks Wagon₹4,552Book ChorGOCrosswordGODC BooksGO

e-book & Audiobook deals ―

Amazon India GOGoogle Play Books ₹51.99Audible GO

* Price may vary from time to time.

* GO = We're not able to fetch the price (please check manually visiting the website).

Know about the book -

Deep Generative Models is written by Anirban Mukhopadhyay and published by Springer Nature. It's available with International Standard Book Number or ISBN identification 3031727444 (ISBN 10) and 9783031727443 (ISBN 13).

This book constitutes the proceedings of the 4th workshop on Deep Generative Models for Medical Image Computing and Computer Assisted Intervention, DGM4MICCAI 2024, held in conjunction with the 27th International conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024, in Marrakesh, Morocco in October 2024. The 21 papers presented here were carefully reviewed and selected from 40 submissions. These papers deal with a broad range of topics, ranging from methodology (such as Causal inference, Latent interpretation, Generative factor analysis) to Applications (such as Mammography, Vessel imaging, Surgical videos and more).