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Contrastive learning of global and local features for medical image
  segmentation with limited annotations

Contrastive learning of global and local features for medical image segmentation with limited annotations

18 June 2020
K. Chaitanya
Ertunc Erdil
Neerav Karani
E. Konukoglu
    SSL
ArXivPDFHTML

Papers citing "Contrastive learning of global and local features for medical image segmentation with limited annotations"

50 / 110 papers shown
Title
Optimizing transformations for contrastive learning in a differentiable
  framework
Optimizing transformations for contrastive learning in a differentiable framework
Camille Ruppli
Pietro Gori
R. Ardon
Isabelle Bloch
MedIm
33
2
0
27 Jul 2022
Contrastive Image Synthesis and Self-supervised Feature Adaptation for
  Cross-Modality Biomedical Image Segmentation
Contrastive Image Synthesis and Self-supervised Feature Adaptation for Cross-Modality Biomedical Image Segmentation
Xinrong Hu
Corey Wang
Yiyu Shi
MedIm
43
1
0
27 Jul 2022
Pseudo-label Guided Cross-video Pixel Contrast for Robotic Surgical
  Scene Segmentation with Limited Annotations
Pseudo-label Guided Cross-video Pixel Contrast for Robotic Surgical Scene Segmentation with Limited Annotations
Yang Yu
Zixu Zhao
Yueming Jin
Guangyong Chen
Qi Dou
Pheng-Ann Heng
28
4
0
20 Jul 2022
A Closer Look at Invariances in Self-supervised Pre-training for 3D
  Vision
A Closer Look at Invariances in Self-supervised Pre-training for 3D Vision
Lanxiao Li
M. Heizmann
3DPC
30
27
0
11 Jul 2022
Efficient and Robust Training of Dense Object Nets for Multi-Object
  Robot Manipulation
Efficient and Robust Training of Dense Object Nets for Multi-Object Robot Manipulation
David B. Adrian
A. Kupcsik
Markus Spies
Heiko Neumann
3DPC
48
7
0
24 Jun 2022
DU-Net based Unsupervised Contrastive Learning for Cancer Segmentation
  in Histology Images
DU-Net based Unsupervised Contrastive Learning for Cancer Segmentation in Histology Images
Yilong Li
Yaqi Wang
Huiyu Zhou
Huaqiong Wang
Gangyong Jia
Qianni Zhang
SSL
MedIm
13
1
0
17 Jun 2022
Self-supervised 3D anatomy segmentation using self-distilled masked
  image transformer (SMIT)
Self-supervised 3D anatomy segmentation using self-distilled masked image transformer (SMIT)
Jue Jiang
N. Tyagi
K. Tringale
C. Crane
Harini Veeraraghavan
MedIm
36
34
0
20 May 2022
Voxel-wise Adversarial Semi-supervised Learning for Medical Image
  Segmentation
Voxel-wise Adversarial Semi-supervised Learning for Medical Image Segmentation
Chae-Eun Lee
H. Park
Y. Shin
Minyoung Chung
34
8
0
14 May 2022
DiRA: Discriminative, Restorative, and Adversarial Learning for
  Self-supervised Medical Image Analysis
DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis
F. Haghighi
M. Taher
Michael B. Gotway
Jianming Liang
MedIm
19
72
0
21 Apr 2022
Unsupervised Contrastive Domain Adaptation for Semantic Segmentation
Unsupervised Contrastive Domain Adaptation for Semantic Segmentation
Feihu Zhang
V. Koltun
Philip Torr
René Ranftl
Stephan R. Richter
21
6
0
18 Apr 2022
FCL-GAN: A Lightweight and Real-Time Baseline for Unsupervised Blind
  Image Deblurring
FCL-GAN: A Lightweight and Real-Time Baseline for Unsupervised Blind Image Deblurring
Suiyi Zhao
Zhao Zhang
Richang Hong
Mingliang Xu
Yi Yang
Meng Wang
23
41
0
16 Apr 2022
CAiD: Context-Aware Instance Discrimination for Self-supervised Learning
  in Medical Imaging
CAiD: Context-Aware Instance Discrimination for Self-supervised Learning in Medical Imaging
M. Taher
F. Haghighi
Michael B. Gotway
Jianming Liang
OOD
SSL
15
31
0
15 Apr 2022
Multi-scale and Cross-scale Contrastive Learning for Semantic
  Segmentation
Multi-scale and Cross-scale Contrastive Learning for Semantic Segmentation
Theodoros Pissas
Claudio S. Ravasio
L. Cruz
Christos Bergeles
25
15
0
25 Mar 2022
ContrastMask: Contrastive Learning to Segment Every Thing
ContrastMask: Contrastive Learning to Segment Every Thing
Xuehui Wang
Kai Zhao
Ruixin Zhang
Shouhong Ding
Yan Wang
Wei Shen
ISeg
31
34
0
18 Mar 2022
On the pitfalls of entropy-based uncertainty for multi-class
  semi-supervised segmentation
On the pitfalls of entropy-based uncertainty for multi-class semi-supervised segmentation
Martin Van Waerebeke
Gregory A. Lodygensky
Jose Dolz
UQCV
15
2
0
07 Mar 2022
Relative distance matters for one-shot landmark detection
Relative distance matters for one-shot landmark detection
Qingsong Yao
Jianji Wang
Yihua Sun
Quan Quan
Heqin Zhu
S. Kevin Zhou
15
6
0
03 Mar 2022
FreeSOLO: Learning to Segment Objects without Annotations
FreeSOLO: Learning to Segment Objects without Annotations
Xinlong Wang
Zhiding Yu
Shalini De Mello
Jan Kautz
Anima Anandkumar
Chunhua Shen
J. Álvarez
ISeg
SSeg
24
112
0
24 Feb 2022
Graph Convolutional Networks for Multi-modality Medical Imaging:
  Methods, Architectures, and Clinical Applications
Graph Convolutional Networks for Multi-modality Medical Imaging: Methods, Architectures, and Clinical Applications
Kexin Ding
Mu Zhou
Zichen Wang
Qiao Liu
C. Arnold
Shaoting Zhang
Dimitris N. Metaxas
GNN
MedIm
AI4CE
30
12
0
17 Feb 2022
Federated Contrastive Learning for Dermatological Disease Diagnosis via
  On-device Learning
Federated Contrastive Learning for Dermatological Disease Diagnosis via On-device Learning
Yawen Wu
Dewen Zeng
Zhepeng Wang
Yi Sheng
Lei Yang
A. James
Yiyu Shi
Jingtong Hu
FedML
22
31
0
14 Feb 2022
Cross-level Contrastive Learning and Consistency Constraint for
  Semi-supervised Medical Image Segmentation
Cross-level Contrastive Learning and Consistency Constraint for Semi-supervised Medical Image Segmentation
Xinkai Zhao
Chaowei Fang
De-Jun Fan
Xu-tao Lin
Feng Gao
Guanbin Li
20
43
0
08 Feb 2022
Contrastive and Selective Hidden Embeddings for Medical Image
  Segmentation
Contrastive and Selective Hidden Embeddings for Medical Image Segmentation
Zhuowei Li
Zihao Liu
Zhiqiang Hu
Qing Xia
Ruiqin Xiong
Shaoting Zhang
Dimitris N. Metaxas
Tingting Jiang
SSL
35
8
0
21 Jan 2022
Sound and Visual Representation Learning with Multiple Pretraining Tasks
Sound and Visual Representation Learning with Multiple Pretraining Tasks
A. Vasudevan
Dengxin Dai
Luc Van Gool
SSL
33
6
0
04 Jan 2022
Gaze Estimation with Eye Region Segmentation and Self-Supervised
  Multistream Learning
Gaze Estimation with Eye Region Segmentation and Self-Supervised Multistream Learning
Zunayed Mahmud
Paul Hungler
Ali Etemad
24
3
0
15 Dec 2021
Learning Representations with Contrastive Self-Supervised Learning for
  Histopathology Applications
Learning Representations with Contrastive Self-Supervised Learning for Histopathology Applications
Karin Stacke
Jonas Unger
Claes Lundström
Gabriel Eilertsen
OOD
SSL
21
25
0
10 Dec 2021
BT-Unet: A self-supervised learning framework for biomedical image
  segmentation using Barlow Twins with U-Net models
BT-Unet: A self-supervised learning framework for biomedical image segmentation using Barlow Twins with U-Net models
Narinder Singh Punn
Sonali Agarwal
SSL
32
35
0
07 Dec 2021
Joint Learning of Localized Representations from Medical Images and
  Reports
Joint Learning of Localized Representations from Medical Images and Reports
Philipp Muller
Georgios Kaissis
Cong Zou
Daniel Munich
140
81
0
06 Dec 2021
Uncertainty-Guided Mutual Consistency Learning for Semi-Supervised
  Medical Image Segmentation
Uncertainty-Guided Mutual Consistency Learning for Semi-Supervised Medical Image Segmentation
Yichi Zhang
Rushi Jiao
Qingcheng Liao
Dongyang Li
Jicong Zhang
35
56
0
05 Dec 2021
SPCL: A New Framework for Domain Adaptive Semantic Segmentation via
  Semantic Prototype-based Contrastive Learning
SPCL: A New Framework for Domain Adaptive Semantic Segmentation via Semantic Prototype-based Contrastive Learning
Binhui Xie
Kejia Yin
Shuang Li
28
11
0
24 Nov 2021
Exploring Feature Representation Learning for Semi-supervised Medical
  Image Segmentation
Exploring Feature Representation Learning for Semi-supervised Medical Image Segmentation
Huimin Wu
Xiaomeng Li
Kwang-Ting Cheng
28
13
0
22 Nov 2021
Diversified Multi-prototype Representation for Semi-supervised
  Segmentation
Diversified Multi-prototype Representation for Semi-supervised Segmentation
Jizong Peng
Christian Desrosiers
M. Pedersoli
29
1
0
16 Nov 2021
Conditional Alignment and Uniformity for Contrastive Learning with
  Continuous Proxy Labels
Conditional Alignment and Uniformity for Contrastive Learning with Continuous Proxy Labels
Benoit Dufumier
Pietro Gori
J. Victor
Antoine Grigis
Edouard Duchesnay
MedIm
16
6
0
10 Nov 2021
SCALP -- Supervised Contrastive Learning for Cardiopulmonary Disease
  Classification and Localization in Chest X-rays using Patient Metadata
SCALP -- Supervised Contrastive Learning for Cardiopulmonary Disease Classification and Localization in Chest X-rays using Patient Metadata
Ajay Jaiswal
Tianhao Li
Cyprian Zander
Yan Han
Justin F. Rousseau
Yifan Peng
Ying Ding
36
14
0
27 Oct 2021
Contrastive Learning for Neural Topic Model
Contrastive Learning for Neural Topic Model
Thong Nguyen
A. Luu
26
56
0
25 Oct 2021
Learn to Ignore: Domain Adaptation for Multi-Site MRI Analysis
Learn to Ignore: Domain Adaptation for Multi-Site MRI Analysis
J. Wolleb
Robin Sandkühler
Florentin Bieder
M. Barakovic
N. Hadjikhani
A. Papadopoulou
Ozgur Yaldizli
J. Kuhle
Cristina Granziera
Philippe C. Cattin
OOD
24
8
0
13 Oct 2021
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
37
176
0
17 Sep 2021
Semi-supervised Contrastive Learning for Label-efficient Medical Image
  Segmentation
Semi-supervised Contrastive Learning for Label-efficient Medical Image Segmentation
Xinrong Hu
Dewen Zeng
Xiaowei Xu
Yiyu Shi
SSL
27
105
0
15 Sep 2021
Self-supervised Tumor Segmentation through Layer Decomposition
Self-supervised Tumor Segmentation through Layer Decomposition
Xiaoman Zhang
Weidi Xie
Chaoqin Huang
Yanfeng Wang
Ya Zhang
Xin Chen
Qi Tian
29
5
0
07 Sep 2021
Self-supervised Multi-scale Consistency for Weakly Supervised
  Segmentation Learning
Self-supervised Multi-scale Consistency for Weakly Supervised Segmentation Learning
Gabriele Valvano
Andrea Leo
Sotirios A. Tsaftaris
31
5
0
26 Aug 2021
Unsupervised Local Discrimination for Medical Images
Unsupervised Local Discrimination for Medical Images
Huai Chen
Renzhen Wang
Xiuying Wang
Jieyu Li
Qu Fang
Hui Li
Jianhao Bai
Qing Peng
Deyu Meng
Lisheng Wang
SSL
20
7
0
21 Aug 2021
Exploring Transferable and Robust Adversarial Perturbation Generation
  from the Perspective of Network Hierarchy
Exploring Transferable and Robust Adversarial Perturbation Generation from the Perspective of Network Hierarchy
Ruikui Wang
Yuanfang Guo
Ruijie Yang
Yunhong Wang
AAML
17
3
0
16 Aug 2021
Self-supervised Contrastive Learning of Multi-view Facial Expressions
Self-supervised Contrastive Learning of Multi-view Facial Expressions
Shuvendu Roy
Ali Etemad
31
38
0
15 Aug 2021
Unsupervised Disentanglement without Autoencoding: Pitfalls and Future
  Directions
Unsupervised Disentanglement without Autoencoding: Pitfalls and Future Directions
Andrea Burns
Aaron Sarna
Dilip Krishnan
Aaron Maschinot
CoGe
DRL
SSL
38
4
0
14 Aug 2021
Few-Shot Segmentation with Global and Local Contrastive Learning
Few-Shot Segmentation with Global and Local Contrastive Learning
Weide Liu
Zhonghua Wu
Henghui Ding
Fayao Liu
Jie Lin
Guosheng Lin
Wei Zhou
34
24
0
11 Aug 2021
Contrastive Learning for View Classification of Echocardiograms
Contrastive Learning for View Classification of Echocardiograms
A. Chartsias
Shan Gao
A. Mumith
Jorge Oliveira
K. Bhatia
Bernhard Kainz
A. Beqiri
33
11
0
06 Aug 2021
Self-Paced Contrastive Learning for Semi-supervised Medical Image
  Segmentation with Meta-labels
Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels
Jizong Peng
Ping Wang
Chrisitian Desrosiers
M. Pedersoli
SSL
31
63
0
29 Jul 2021
Hierarchical Self-Supervised Learning for Medical Image Segmentation
  Based on Multi-Domain Data Aggregation
Hierarchical Self-Supervised Learning for Medical Image Segmentation Based on Multi-Domain Data Aggregation
Hao Zheng
Jun Han
Hongxiao Wang
Lin Yang
Zhuo Zhao
Chaoli Wang
Danny Chen
29
23
0
10 Jul 2021
Challenges for machine learning in clinical translation of big data
  imaging studies
Challenges for machine learning in clinical translation of big data imaging studies
Nicola K. Dinsdale
Emma Bluemke
V. Sundaresan
M. Jenkinson
Stephen Smith
Ana I. L. Namburete
AI4CE
32
41
0
07 Jul 2021
Positional Contrastive Learning for Volumetric Medical Image
  Segmentation
Positional Contrastive Learning for Volumetric Medical Image Segmentation
Dewen Zeng
Yawen Wu
Xinrong Hu
Xiaowei Xu
Haiyun Yuan
Meiping Huang
Zhuang Jian
Jingtong Hu
Yiyu Shi
29
91
0
16 Jun 2021
Contrastive Learning with Continuous Proxy Meta-Data for 3D MRI
  Classification
Contrastive Learning with Continuous Proxy Meta-Data for 3D MRI Classification
Benoit Dufumier
Pietro Gori
J. Victor
Antoine Grigis
M. Wessa
...
P. Favre
M. Polosan
C. Mcdonald
C. Piguet
Edouard Duchesnay
SSL
24
66
0
16 Jun 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
572
0
27 May 2021
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