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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Deep Generative Models: Second Miccai Workshop, Dgm4miccai 2022, Held in Conjunction with Miccai 2022, Singapore, September 22, 2022, Proceedings

Deep Generative Models: Second Miccai Workshop, Dgm4miccai 2022, Held in Conjunction with Miccai 2022, Singapore, September 22, 2022, Proceedings

Mukhopadhyay, Anirban
Oksuz, Ilkay
Engelhardt, Sandy

Paperback

Series: Lecture Notes in Computer Science, Book 1360

General ComputersGeneral EducationProgramming

ISBN10: 3031185757
ISBN13: 9783031185755
Publisher: Springer
Published: Oct 8 2022
Pages: 127
Weight: 0.45
Height: 0.30 Width: 6.14 Depth: 9.21
Language: English
This book constitutes the refereed proceedings of the Second MICCAI Workshop on Deep Generative Models, DG4MICCAI 2022, held in conjunction with MICCAI 2022, in September 2022. The workshops took place in Singapore.
DG4MICCAI 2022 accepted 12 papers from the 15 submissions received. The workshop focusses on recent algorithmic developments, new results, and promising future directions in Deep Generative Models. Deep generative models such as Generative Adversarial Network (GAN) and Variational Auto-Encoder (VAE) are currently receiving widespread attention from not only the computer vision and machine learning communities, but also in the MIC and CAI community.

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