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1806.05104
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Improving Cytoarchitectonic Segmentation of Human Brain Areas with Self-supervised Siamese Networks
13 June 2018
H. Spitzer
Kai Kiwitz
Katrin Amunts
Stefan Harmeling
Timo Dickscheid
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Papers citing
"Improving Cytoarchitectonic Segmentation of Human Brain Areas with Self-supervised Siamese Networks"
20 / 20 papers shown
Title
Masked Image Modeling: A Survey
Vlad Hondru
Florinel-Alin Croitoru
Shervin Minaee
Radu Tudor Ionescu
N. Sebe
72
7
0
13 Aug 2024
Self-Supervised Representation Learning for Nerve Fiber Distribution Patterns in 3D-PLI
Alexander Oberstrass
Sascha E. A. Muenzing
Meiqi Niu
N. Palomero-Gallagher
Christian Schiffer
M. Axer
Katrin Amunts
Timo Dickscheid
27
4
0
30 Jan 2024
A Self Supervised StyleGAN for Image Annotation and Classification with Extremely Limited Labels
Dana Cohen Hochberg
H. Greenspan
Raja Giryes
32
11
0
26 Dec 2023
A Novel Collaborative Self-Supervised Learning Method for Radiomic Data
Zhiyuan Li
Hailong Li
Anca L. Ralescu
Jonathan R. Dillman
N. Parikh
Lili He
35
7
0
20 Feb 2023
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images
Wei-Chien Wang
Euijoon Ahn
Da-wei Feng
Jinman Kim
MedIm
37
27
0
10 Feb 2023
Self-Supervised Endoscopic Image Key-Points Matching
Manel Farhat
Houda Chaabouni
A. Ben-Hamadou
17
17
0
24 Aug 2022
Metadata-enhanced contrastive learning from retinal optical coherence tomography images
R. Holland
Oliver Leingang
Hrvoje Bogunović
Sophie Riedl
L. Fritsche
...
U. Schmidt-Erfurth
S. Sivaprasad
A. Lotery
Daniel Rueckert
M. Menten
23
9
0
04 Aug 2022
Deep fiber clustering: Anatomically informed fiber clustering with self-supervised deep learning for fast and effective tractography parcellation
Yuqian Chen
Chaoyi Zhang
Tengfei Xue
Yang Song
N. Makris
Yogesh Rathi
Weidong (Tom) Cai
Fan Zhang
L. O’Donnell
47
19
0
02 May 2022
Masked Image Modeling Advances 3D Medical Image Analysis
Zekai Chen
Devansh Agarwal
Kshitij Aggarwal
Wiem Safta
Samit Hirawat
V. Sethuraman
Mariann Micsinai Balan
Kevin Brown
33
69
0
25 Apr 2022
Self-supervised learning methods and applications in medical imaging analysis: A survey
Saeed Shurrab
R. Duwairi
OOD
42
178
0
17 Sep 2021
2D histology meets 3D topology: Cytoarchitectonic brain mapping with Graph Neural Networks
Christian Schiffer
Stefan Harmeling
Katrin Amunts
Timo Dickscheid
3DH
3DV
21
2
0
09 Mar 2021
Self-supervised driven consistency training for annotation efficient histopathology image analysis
C. Srinidhi
Seung Wook Kim
Fu-Der Chen
Anne L. Martel
SSL
21
109
0
07 Feb 2021
Big Self-Supervised Models Advance Medical Image Classification
Shekoofeh Azizi
Basil Mustafa
Fiona Ryan
Zach Beaver
Jan Freyberg
...
Alan Karthikesalingam
Simon Kornblith
Ting-Li Chen
Vivek Natarajan
Mohammad Norouzi
SSL
48
508
0
13 Jan 2021
Contrastive Representation Learning for Whole Brain Cytoarchitectonic Mapping in Histological Human Brain Sections
Christian Schiffer
Katrin Amunts
Stefan Harmeling
Timo Dickscheid
22
11
0
25 Nov 2020
MoCo-CXR: MoCo Pretraining Improves Representation and Transferability of Chest X-ray Models
Hari Sowrirajan
Jingbo Yang
A. Ng
Pranav Rajpurkar
26
86
0
11 Oct 2020
Self-supervised Contrastive Video-Speech Representation Learning for Ultrasound
Jianbo Jiao
Yifan Cai
M. Alsharid
L. Drukker
A. Papageorghiou
J. A. Noble
22
39
0
14 Aug 2020
Self-supervised Feature Learning via Exploiting Multi-modal Data for Retinal Disease Diagnosis
Xiaomeng Li
M. Jia
Md Tauhidul Islam
Lequan Yu
Lei Xing
26
109
0
21 Jul 2020
Revisiting Rubik's Cube: Self-supervised Learning with Volume-wise Transformation for 3D Medical Image Segmentation
Xing Tao
Yuexiang Li
Wenhui Zhou
Kai Ma
Yefeng Zheng
19
67
0
17 Jul 2020
Self-supervised Feature Learning for 3D Medical Images by Playing a Rubik's Cube
Xinrui Zhuang
Yuexiang Li
Yifan Hu
Kai Ma
Yujiu Yang
Yefeng Zheng
SSL
29
149
0
05 Oct 2019
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
38
752
0
27 Aug 2019
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