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1908.04126
Cited By
Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation
12 August 2019
E. Panfilov
A. Tiulpin
S. Klein
M. Nieminen
S. Saarakkala
OOD
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Papers citing
"Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation"
12 / 12 papers shown
Title
Benchmarking Multi-Organ Segmentation Tools for Multi-Parametric T1-weighted Abdominal MRI
Nicole Tran
Anisa V. Prasad
Yan Zhuang
T. Mathai
Boah Kim
Sydney Lewis
P. Mukherjee
Jianfei Liu
Ronald M. Summers
42
0
0
10 Apr 2025
Image-level supervision and self-training for transformer-based cross-modality tumor segmentation
Malo de Boisredon
Eugene Vorontsov
W. Le
Samuel Kadoury
MedIm
ViT
27
0
0
17 Sep 2023
CellTranspose: Few-shot Domain Adaptation for Cellular Instance Segmentation
M. Keaton
Ram J. Zaveri
Gianfranco Doretto
19
14
0
28 Dec 2022
Data-Limited Tissue Segmentation using Inpainting-Based Self-Supervised Learning
J. Dominic
Nandita Bhaskhar
Arjun D Desai
Andrew M Schmidt
E. Rubin
...
G. Gold
B. Hargreaves
L. Lenchik
R. Boutin
Akshay S. Chaudhari
15
0
0
14 Oct 2022
Co-Teaching for Unsupervised Domain Adaptation and Expansion
Kaibin Tian
Qijie Wei
Xirong Li
32
1
0
04 Apr 2022
Target and Task specific Source-Free Domain Adaptive Image Segmentation
VS Vibashan
Jeya Maria Jose Valanarasu
Vishal M. Patel
OOD
32
17
0
29 Mar 2022
Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation
Chia-Ju Chen
C. Qin
Cheng Ouyang
Zeju Li
Shuo Wang
Huaqi Qiu
Liang Chen
G. Tarroni
Wenjia Bai
Daniel Rueckert
GAN
MedIm
62
40
0
07 Aug 2021
Domain Adaptation for Medical Image Analysis: A Survey
Hao Guan
Mingxia Liu
OOD
48
532
0
18 Feb 2021
Robust White Matter Hyperintensity Segmentation on Unseen Domain
Xingchen Zhao
Anthony Sicilia
D. Minhas
Erin O'Connor
H. Aizenstein
W. Klunk
D. Tudorascu
Seong Jae Hwang
OOD
18
13
0
12 Feb 2021
Towards Domain-Agnostic Contrastive Learning
Vikas Verma
Minh-Thang Luong
Kenji Kawaguchi
Hieu H. Pham
Quoc V. Le
SSL
15
116
0
09 Nov 2020
Learning Loss for Test-Time Augmentation
Ildoo Kim
Younghoon Kim
Sungwoong Kim
OOD
26
90
0
22 Oct 2020
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation
Nima Tajbakhsh
Laura Jeyaseelan
Q. Li
J. Chiang
Zhihao Wu
Xiaowei Ding
33
751
0
27 Aug 2019
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