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1904.11031
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Ultrasound segmentation using U-Net: learning from simulated data and testing on real data
24 April 2019
Bahareh Behboodi
H. Rivaz
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Papers citing
"Ultrasound segmentation using U-Net: learning from simulated data and testing on real data"
5 / 5 papers shown
Title
Ultrasound Image Generation using Latent Diffusion Models
Benoit Freiche
Anthony El-Khoury
Ali Nasiri-Sarvi
Mahdi S. Hosseini
Damien Garcia
Adrian Basarab
Mathieu Boily
Hassan Rivaz
MedIm
107
1
0
12 Feb 2025
Self-Supervised Learning with Limited Labeled Data for Prostate Cancer Detection in High Frequency Ultrasound
P. Wilson
Mahdi Gilany
A. Jamzad
Fahimeh Fooladgar
Minh-Son To
Brian Wodlinger
Purang Abolmaesumi
P. Mousavi
73
12
0
01 Nov 2022
On the role of benchmarking data sets and simulations in method comparison studies
Sarah Friedrich
T. Friede
56
25
0
02 Aug 2022
Improved Processing of Ultrasound Tongue Videos by Combining ConvLSTM and 3D Convolutional Networks
Amin Honarmandi Shandiz
L. Tóth
46
4
0
26 Jun 2022
Automatic 3D Ultrasound Segmentation of Uterus Using Deep Learning
Bahareh Behboodi
H. Rivaz
S. Lalondrelle
E. Harris
48
8
0
20 Sep 2021
1