Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2108.03429
Cited By
Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation
7 August 2021
C. L. P. Chen
C. Qin
C. Ouyang
Zeju Li
Shuo Wang
Huaqi Qiu
Liang Chen
G. Tarroni
Wenjia Bai
Daniel Rueckert
GAN
MedIm
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation"
7 / 7 papers shown
Title
Can Medical Vision-Language Pre-training Succeed with Purely Synthetic Data?
Che Liu
Zhongwei Wan
Haozhe Wang
Yinda Chen
T. Qaiser
Chen Jin
Fariba Yousefi
Nikolay Burlutskiy
Rossella Arcucci
VLM
SyDa
LM&MA
MedIm
69
2
0
17 Oct 2024
Quantifying the Impact of Population Shift Across Age and Sex for Abdominal Organ Segmentation
Kate Čevora
Ben Glocker
Wenjia Bai
OOD
26
0
0
08 Aug 2024
MGAug: Multimodal Geometric Augmentation in Latent Spaces of Image Deformations
Tonmoy Hossain
Miaomiao Zhang
19
2
0
20 Dec 2023
L-MAE: Masked Autoencoders are Semantic Segmentation Datasets Augmenter
Jiaru Jia
Ming-Yu Liu
Jiake Xie
Xin Chen
Hong Zhang
Xin Jiang
Aiqing Yang
40
0
0
21 Nov 2022
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training
Yingda Xia
Fengze Liu
D. Yang
Jinzheng Cai
Lequan Yu
Zhuotun Zhu
Daguang Xu
Alan Yuille
H. Roth
177
124
0
29 Nov 2018
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
261
1,275
0
06 Mar 2017
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
292
10,618
0
19 Feb 2017
1