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ROAM: Random Layer Mixup for Semi-Supervised Learning in Medical Imaging
v1v2v3v4 (latest)

ROAM: Random Layer Mixup for Semi-Supervised Learning in Medical Imaging

20 March 2020
T. Bdair
Benedikt Wiestler
Nassir Navab
Shadi Albarqouni
ArXiv (abs)PDFHTML

Papers citing "ROAM: Random Layer Mixup for Semi-Supervised Learning in Medical Imaging"

6 / 6 papers shown
Self-Supervised and Semi-Supervised Polyp Segmentation using Synthetic
  Data
Self-Supervised and Semi-Supervised Polyp Segmentation using Synthetic DataIEEE International Joint Conference on Neural Network (IJCNN), 2023
Enric Moreu
Eric Arazo
Kevin McGuinness
Noel E. O'Connor
302
2
0
22 Jul 2023
Virtual embeddings and self-consistency for self-supervised learning
Virtual embeddings and self-consistency for self-supervised learning
T. Bdair
Hossam Abdelhamid
Nassir Navab
Shadi Albarqouni
SSL
200
0
0
13 Jun 2022
A Principled Approach to Failure Analysis and Model Repairment:
  Demonstration in Medical Imaging
A Principled Approach to Failure Analysis and Model Repairment: Demonstration in Medical ImagingInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021
Thomas Henn
Yasukazu Sakamoto
Clément Jacquet
Shunsuke Yoshizawa
M. Andou
...
R. Saga
Hiroyuki Ishihara
Katsuhiko Shimizu
Yingzhen Li
Ryutaro Tanno
425
9
0
25 Sep 2021
Preservational Learning Improves Self-supervised Medical Image Models by
  Reconstructing Diverse Contexts
Preservational Learning Improves Self-supervised Medical Image Models by Reconstructing Diverse ContextsIEEE International Conference on Computer Vision (ICCV), 2021
Hong-Yu Zhou
Chi-Ken Lu
Sibei Yang
Xiaoguang Han
Yizhou Yu
SSLCLL
354
104
0
09 Sep 2021
CarveMix: A Simple Data Augmentation Method for Brain Lesion
  Segmentation
CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation
Xinru Zhang
Chenghao Liu
N. Ou
Xiangzhu Zeng
Xiaoliang Xiong
Yizhou Yu
Zhiwen Liu
Chuyang Ye
481
56
0
16 Aug 2021
CASPIANET++: A Multidimensional Channel-Spatial Asymmetric Attention
  Network with Noisy Student Curriculum Learning Paradigm for Brain Tumor
  Segmentation
CASPIANET++: A Multidimensional Channel-Spatial Asymmetric Attention Network with Noisy Student Curriculum Learning Paradigm for Brain Tumor Segmentation
Andre Liew
C. Lee
B. Lan
Maxine Tan
172
14
0
08 Jul 2021
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