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Surrogate Supervision for Medical Image Analysis: Effective Deep
  Learning From Limited Quantities of Labeled Data

Surrogate Supervision for Medical Image Analysis: Effective Deep Learning From Limited Quantities of Labeled Data

25 January 2019
Nima Tajbakhsh
Yufei Hu
Junli Cao
Xingjian Yan
Yi Xiao
Yong Lu
Jianming Liang
Demetri Terzopoulos
Xiaowei Ding
ArXivPDFHTML

Papers citing "Surrogate Supervision for Medical Image Analysis: Effective Deep Learning From Limited Quantities of Labeled Data"

10 / 10 papers shown
Title
DrasCLR: A Self-supervised Framework of Learning Disease-related and
  Anatomy-specific Representation for 3D Medical Images
DrasCLR: A Self-supervised Framework of Learning Disease-related and Anatomy-specific Representation for 3D Medical Images
K. Yu
Li Sun
Junxiang Chen
Maxwell Reynolds
Tigmanshu Chaudhary
Kayhan Batmanghelich
17
1
0
21 Feb 2023
A Review of Predictive and Contrastive Self-supervised Learning for
  Medical Images
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images
Wei-Chien Wang
E. Ahn
Da-wei Feng
Jinman Kim
MedIm
24
27
0
10 Feb 2023
CNN Attention Guidance for Improved Orthopedics Radiographic Fracture
  Classification
CNN Attention Guidance for Improved Orthopedics Radiographic Fracture Classification
Zhibin Liao
Kewen Liao
Haifeng Shen
M. F. van Boxel
J. Prijs
R. Jaarsma
J. Doornberg
A. Hengel
Johan W. Verjans
21
14
0
21 Mar 2022
Self-supervised learning methods and applications in medical imaging
  analysis: A survey
Self-supervised learning methods and applications in medical imaging analysis: A survey
Saeed Shurrab
R. Duwairi
OOD
34
175
0
17 Sep 2021
A Spatial Guided Self-supervised Clustering Network for Medical Image
  Segmentation
A Spatial Guided Self-supervised Clustering Network for Medical Image Segmentation
E. Ahn
D. Feng
Jinman Kim
26
26
0
11 Jul 2021
Recent advances and clinical applications of deep learning in medical
  image analysis
Recent advances and clinical applications of deep learning in medical image analysis
Xuxin Chen
Ximing Wang
Kecheng Zhang
K. Fung
T. Thai
K. Moore
Robert S. Mannel
Hong Liu
B. Zheng
Y. Qiu
OOD
18
569
0
27 May 2021
Medical Transformer: Universal Brain Encoder for 3D MRI Analysis
Medical Transformer: Universal Brain Encoder for 3D MRI Analysis
E. Jun
Seungwoo Jeong
Da-Woon Heo
Heung-Il Suk
ViT
MedIm
37
42
0
28 Apr 2021
Self-supervised Feature Learning via Exploiting Multi-modal Data for
  Retinal Disease Diagnosis
Self-supervised Feature Learning via Exploiting Multi-modal Data for Retinal Disease Diagnosis
Xiaomeng Li
M. Jia
Md Tauhidul Islam
Lequan Yu
Lei Xing
18
109
0
21 Jul 2020
Learning to segment images with classification labels
Learning to segment images with classification labels
Ozan Ciga
Anne L. Martel
VLM
21
25
0
28 Dec 2019
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for
  Medical Image Segmentation
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
16
750
0
27 Aug 2019
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