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SS-3DCapsNet: Self-supervised 3D Capsule Networks for Medical
  Segmentation on Less Labeled Data
v1v2 (latest)

SS-3DCapsNet: Self-supervised 3D Capsule Networks for Medical Segmentation on Less Labeled Data

15 January 2022
Minh-Khoi Tran
Loi Ly
Binh-Son Hua
Ngan Le
    3DPCMedIm
ArXiv (abs)PDFHTML

Papers citing "SS-3DCapsNet: Self-supervised 3D Capsule Networks for Medical Segmentation on Less Labeled Data"

34 / 34 papers shown
Title
ScaleNet: An Unsupervised Representation Learning Method for Limited
  Information
ScaleNet: An Unsupervised Representation Learning Method for Limited Information
Huili Huang
M. M. Roozbahani
SSL
98
804
0
03 Oct 2023
3D-UCaps: 3D Capsules Unet for Volumetric Image Segmentation
3D-UCaps: 3D Capsules Unet for Volumetric Image Segmentation
Tan H. Nguyen
Binh-Son Hua
Ngan Le
3DPCMedIm
95
32
0
16 Mar 2022
Point-Unet: A Context-aware Point-based Neural Network for Volumetric
  Segmentation
Point-Unet: A Context-aware Point-based Neural Network for Volumetric Segmentation
Ngoc-Vuong Ho
Tan H. Nguyen
Gia-Han Diep
Ngan Le
Binh-Son Hua
3DPC
80
23
0
16 Mar 2022
DAM-AL: Dilated Attention Mechanism with Attention Loss for 3D Infant
  Brain Image Segmentation
DAM-AL: Dilated Attention Mechanism with Attention Loss for 3D Infant Brain Image Segmentation
Dinh-Hieu Hoang
Gia-Han Diep
Minh-Triet Tran
Ngan T. H Le
58
8
0
27 Dec 2021
Deep reinforcement learning in medical imaging: A literature review
Deep reinforcement learning in medical imaging: A literature review
S. Kevin Zhou
Hoang Ngan Le
Khoa Luu
Hien V Nguyen
N. Ayache
LM&MAOffRLMedIm
59
148
0
05 Mar 2021
Offset Curves Loss for Imbalanced Problem in Medical Segmentation
Offset Curves Loss for Imbalanced Problem in Medical Segmentation
Ngan Le
T. Hoang Ngan Le
Kashu Yamazaki
T. Bui
Khoa Luu
Marios Savvides
58
11
0
04 Dec 2020
A Multi-task Contextual Atrous Residual Network for Brain Tumor
  Detection & Segmentation
A Multi-task Contextual Atrous Residual Network for Brain Tumor Detection & Segmentation
Ngan Le
Kashu Yamazaki
Dat T. Truong
Kha Gia Quach
Marios Savvides
MedIm
47
20
0
03 Dec 2020
Flow-based Deformation Guidance for Unpaired Multi-Contrast MRI
  Image-to-Image Translation
Flow-based Deformation Guidance for Unpaired Multi-Contrast MRI Image-to-Image Translation
T. Bui
Manh Nguyen
Ngan Le
Khoa Luu
MedIm
44
14
0
03 Dec 2020
U-Net and its variants for medical image segmentation: theory and
  applications
U-Net and its variants for medical image segmentation: theory and applications
N. Siddique
Sidike Paheding
Colin P. Elkin
Vijay Devabhaktuni
SSeg
102
1,090
0
02 Nov 2020
Medical Image Segmentation Using Deep Learning: A Survey
Medical Image Segmentation Using Deep Learning: A Survey
Risheng Wang
Tao Lei
Xiaogang Du
Yong Wan
Hongying Meng
Asoke K. Nandi
SSegOOD
80
570
0
28 Sep 2020
Synthetic Learning: Learn From Distributed Asynchronized Discriminator
  GAN Without Sharing Medical Image Data
Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data
Qi Chang
Hui Qu
Yikai Zhang
M. Sabuncu
Chao Chen
Tong Zhang
Dimitris N. Metaxas
MedIm
83
80
0
29 May 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
378
18,866
0
13 Feb 2020
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
152
764
0
27 Aug 2019
A large annotated medical image dataset for the development and
  evaluation of segmentation algorithms
A large annotated medical image dataset for the development and evaluation of segmentation algorithms
Amber L. Simpson
Michela Antonelli
Spyridon Bakas
Michel Bilello
Keyvan Farahani
...
M. McHugo
S. Napel
Eugene Vorontsov
Lena Maier-Hein
M. Jorge Cardoso
117
862
0
25 Feb 2019
Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain
  Adaptation for Medical Image Segmentation
Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation
Cheng Chen
Qi Dou
Hao Chen
J. Qin
Pheng-Ann Heng
OOD
73
312
0
24 Jan 2019
The Liver Tumor Segmentation Benchmark (LiTS)
The Liver Tumor Segmentation Benchmark (LiTS)
Patrick Bilic
P. Christ
Hongwei Bran Li
Eugene Vorontsov
Avi Ben-Cohen
...
L. Soler
Bram van Ginneken
H. Greenspan
Leo Joskowicz
Bjoern Menze
126
1,025
0
13 Jan 2019
Cross and Learn: Cross-Modal Self-Supervision
Cross and Learn: Cross-Modal Self-Supervision
Nawid Sayed
Biagio Brattoli
Bjorn Ommer
SSL
70
78
0
09 Nov 2018
Deep Recurrent Level Set for Segmenting Brain Tumors
Deep Recurrent Level Set for Segmenting Brain Tumors
T. Hoang
Raajitha Gummadi
Marios Savvides
3DV
41
36
0
10 Oct 2018
Video Jigsaw: Unsupervised Learning of Spatiotemporal Context for Video
  Action Recognition
Video Jigsaw: Unsupervised Learning of Spatiotemporal Context for Video Action Recognition
Unaiza Ahsan
Rishi Madhok
Irfan Essa
SSL
56
109
0
22 Aug 2018
Dilated Convolutions in Neural Networks for Left Atrial Segmentation in
  3D Gadolinium Enhanced-MRI
Dilated Convolutions in Neural Networks for Left Atrial Segmentation in 3D Gadolinium Enhanced-MRI
Sulaiman Vesal
Nishant Ravikumar
Andreas Maier
MedIm
41
50
0
05 Aug 2018
Cooperative Learning of Audio and Video Models from Self-Supervised
  Synchronization
Cooperative Learning of Audio and Video Models from Self-Supervised Synchronization
Bruno Korbar
Du Tran
Lorenzo Torresani
99
476
0
30 Jun 2018
Capsules for Object Segmentation
Capsules for Object Segmentation
Rodney LaLonde
Ulas Bagci
SSegMedIm
60
270
0
11 Apr 2018
Dynamic Routing Between Capsules
Dynamic Routing Between Capsules
S. Sabour
Nicholas Frosst
Geoffrey E. Hinton
180
4,604
0
26 Oct 2017
DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image
  Segmentation
DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation
Guotai Wang
Maria A. Zuluaga
Wenqi Li
R. Pratt
P. Patel
...
T. Doel
A. David
Jan Deprest
Sebastien Ourselin
Tom Vercauteren
75
410
0
03 Jul 2017
Learning Features by Watching Objects Move
Learning Features by Watching Objects Move
Deepak Pathak
Ross B. Girshick
Piotr Dollár
Trevor Darrell
Bharath Hariharan
SSLVOSOCL
79
526
0
19 Dec 2016
The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for
  Semantic Segmentation
The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation
S. Jégou
M. Drozdzal
David Vazquez
Adriana Romero
Yoshua Bengio
SSeg
180
1,580
0
28 Nov 2016
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
Özgün Çiçek
Ahmed Abdulkadir
S. Lienkamp
Thomas Brox
Olaf Ronneberger
3DV3DPCSSeg3DH
155
6,551
0
21 Jun 2016
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image
  Segmentation
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
Fausto Milletari
Nassir Navab
Seyed-Ahmad Ahmadi
238
8,716
0
15 Jun 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOSSSeg
747
37,890
0
20 May 2016
Colorful Image Colorization
Colorful Image Colorization
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
149
3,532
0
28 Mar 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.9K
77,378
0
18 May 2015
Unsupervised Learning of Video Representations using LSTMs
Unsupervised Learning of Video Representations using LSTMs
Nitish Srivastava
Elman Mansimov
Ruslan Salakhutdinov
SSL
142
2,593
0
16 Feb 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
465
43,341
0
11 Feb 2015
Conditional Generative Adversarial Nets
Conditional Generative Adversarial Nets
M. Berk Mirza
Simon Osindero
GANSyDaAI4CE
262
10,425
0
06 Nov 2014
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