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Global-Local Transformer for Brain Age Estimation

Global-Local Transformer for Brain Age Estimation

3 September 2021
Sheng He
P. E. Grant
Yangming Ou
    ViT
    MedIm
ArXivPDFHTML

Papers citing "Global-Local Transformer for Brain Age Estimation"

27 / 27 papers shown
Title
Masked LoGoNet: Fast and Accurate 3D Image Analysis for Medical Domain
Masked LoGoNet: Fast and Accurate 3D Image Analysis for Medical Domain
Amin Karimi Monsefi
Payam Karisani
Mengxi Zhou
Stacey S. Choi
Nathan Doble
Heng Ji
Srinivasan Parthasarathy
R. Ramnath
68
5
0
09 Feb 2024
Brain Age Estimation From MRI Using Cascade Networks with Ranking Loss
Brain Age Estimation From MRI Using Cascade Networks with Ranking Loss
Jian Cheng
Ziyang Liu
Hao Guan
Zhenzhou Wu
Haogang Zhu
Jiyang Jiang
W. Wen
Dacheng Tao
Tao Liu
48
57
0
06 Jun 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
425
40,217
0
22 Oct 2020
HookNet: multi-resolution convolutional neural networks for semantic
  segmentation in histopathology whole-slide images
HookNet: multi-resolution convolutional neural networks for semantic segmentation in histopathology whole-slide images
Mart van Rijthoven
M. Balkenhol
Karina Silina
Jeroen van der Laak
F. Ciompi
SSeg
39
156
0
22 Jun 2020
Learning Texture Transformer Network for Image Super-Resolution
Learning Texture Transformer Network for Image Super-Resolution
Fuzhi Yang
Huan Yang
Jianlong Fu
Hongtao Lu
B. Guo
SupR
ViT
68
719
0
07 Jun 2020
End-to-End Object Detection with Transformers
End-to-End Object Detection with Transformers
Nicolas Carion
Francisco Massa
Gabriel Synnaeve
Nicolas Usunier
Alexander Kirillov
Sergey Zagoruyko
ViT
3DV
PINN
312
12,906
0
26 May 2020
Quantifying Attention Flow in Transformers
Quantifying Attention Flow in Transformers
Samira Abnar
Willem H. Zuidema
115
789
0
02 May 2020
FragNet: Writer Identification using Deep Fragment Networks
FragNet: Writer Identification using Deep Fragment Networks
Sheng He
Lambert Schomaker
77
72
0
16 Mar 2020
Deep Local Global Refinement Network for Stent Analysis in IVOCT Images
Deep Local Global Refinement Network for Stent Analysis in IVOCT Images
Yuyu Guo
3DV
34
6
0
23 Sep 2019
Collaborative Global-Local Networks for Memory-Efficient Segmentation of
  Ultra-High Resolution Images
Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images
Wuyang Chen
Ziyu Jiang
Zhangyang Wang
Kexin Cui
Xiaoning Qian
50
151
0
15 May 2019
Approximating CNNs with Bag-of-local-Features models works surprisingly
  well on ImageNet
Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet
Wieland Brendel
Matthias Bethge
SSL
FAtt
73
561
0
20 Mar 2019
Uncertainty Quantification in Deep MRI Reconstruction
Uncertainty Quantification in Deep MRI Reconstruction
Vineet Edupuganti
Morteza Mardani
S. Vasanawala
John M. Pauly
UQCV
38
95
0
31 Jan 2019
Learning Mutually Local-global U-nets For High-resolution Retinal Lesion
  Segmentation in Fundus Images
Learning Mutually Local-global U-nets For High-resolution Retinal Lesion Segmentation in Fundus Images
Zizheng Yan
Xiaoguang Han
Changmiao Wang
Yuda Qiu
Zixiang Xiong
Shuguang Cui
SSeg
31
58
0
18 Jan 2019
SlowFast Networks for Video Recognition
SlowFast Networks for Video Recognition
Christoph Feichtenhofer
Haoqi Fan
Jitendra Malik
Kaiming He
146
3,244
0
10 Dec 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
1.1K
93,936
0
11 Oct 2018
Attention Gated Networks: Learning to Leverage Salient Regions in
  Medical Images
Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images
Jo Schlemper
Ozan Oktay
M. Schaap
M. Heinrich
Bernhard Kainz
Ben Glocker
Daniel Rueckert
MedIm
53
1,459
0
22 Aug 2018
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture
  Design
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
Ningning Ma
Xiangyu Zhang
Haitao Zheng
Jian Sun
136
4,957
0
30 Jul 2018
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
501
129,831
0
12 Jun 2017
Predicting brain age with deep learning from raw imaging data results in
  a reliable and heritable biomarker
Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker
James H. Cole
Rudra P. K. Poudel
Dimosthenis Tsagkrasoulis
M. Caan
C. Steves
T. Spector
Giovanni Montana
52
694
0
08 Dec 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
651
36,599
0
25 Aug 2016
Wide Residual Networks
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
277
7,951
0
23 May 2016
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB
  model size
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
F. Iandola
Song Han
Matthew W. Moskewicz
Khalid Ashraf
W. Dally
Kurt Keutzer
130
7,448
0
24 Feb 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on
  Learning
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
311
14,196
0
23 Feb 2016
Learning Deep Features for Discriminative Localization
Learning Deep Features for Discriminative Localization
Bolei Zhou
A. Khosla
Àgata Lapedriza
A. Oliva
Antonio Torralba
SSL
SSeg
FAtt
186
9,280
0
14 Dec 2015
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.5K
192,638
0
10 Dec 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
365
43,154
0
11 Feb 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.0K
99,991
0
04 Sep 2014
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