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Generative Adversarial Networks in Ultrasound Imaging: Extending Field of View Beyond Conventional Limits

Generative Adversarial Networks in Ultrasound Imaging: Extending Field of View Beyond Conventional Limits

Matej Gazda
Samuel Kadoury
J. Gazda
P. Drotár
ArXivPDFHTML

Papers citing "Generative Adversarial Networks in Ultrasound Imaging: Extending Field of View Beyond Conventional Limits"

5 / 5 papers shown
Title
Generative augmentations for improved cardiac ultrasound segmentation using diffusion models
Generative augmentations for improved cardiac ultrasound segmentation using diffusion models
G. V. D. Vyver
Aksel Try Lenz
Erik Smistad
S. Olaisen
B. Grenne
E. Holte
Haavard Dalen
Lasse Løvstakken
DiffM
MedIm
77
0
0
27 Feb 2025
ReGO: Reference-Guided Outpainting for Scenery Image
ReGO: Reference-Guided Outpainting for Scenery Image
Yaxiong Wang
Yunchao Wei
Xueming Qian
Li Zhu
Yi Yang
10
8
0
20 Jun 2021
In&Out : Diverse Image Outpainting via GAN Inversion
In&Out : Diverse Image Outpainting via GAN Inversion
Yen-Chi Cheng
C. Lin
Hsin-Ying Lee
Jian Ren
Sergey Tulyakov
Ming-Hsuan Yang
DiffM
51
70
0
01 Apr 2021
Multimodal Unsupervised Image-to-Image Translation
Multimodal Unsupervised Image-to-Image Translation
Xun Huang
Ming-Yuan Liu
Serge J. Belongie
Jan Kautz
120
2,481
0
12 Apr 2018
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.5K
76,894
0
18 May 2015

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