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Transforming medical imaging with Transformers? A comparative review of
  key properties, current progresses, and future perspectives
v1v2v3 (latest)

Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives

2 June 2022
Jun Li
Junyu Chen
Yucheng Tang
Ce Wang
Bennett A. Landman
S. K. Zhou
    ViTOODMedIm
ArXiv (abs)PDFHTML

Papers citing "Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives"

50 / 161 papers shown
Title
Deformable DETR: Deformable Transformers for End-to-End Object Detection
Deformable DETR: Deformable Transformers for End-to-End Object Detection
Xizhou Zhu
Weijie Su
Lewei Lu
Bin Li
Xiaogang Wang
Jifeng Dai
ViT
246
5,102
0
08 Oct 2020
Fairness in Machine Learning: A Survey
Fairness in Machine Learning: A Survey
Simon Caton
C. Haas
FaML
102
646
0
04 Oct 2020
Sharpness-Aware Minimization for Efficiently Improving Generalization
Sharpness-Aware Minimization for Efficiently Improving Generalization
Pierre Foret
Ariel Kleiner
H. Mobahi
Behnam Neyshabur
AAML
199
1,359
0
03 Oct 2020
Rethinking Attention with Performers
Rethinking Attention with Performers
K. Choromanski
Valerii Likhosherstov
David Dohan
Xingyou Song
Andreea Gane
...
Afroz Mohiuddin
Lukasz Kaiser
David Belanger
Lucy J. Colwell
Adrian Weller
186
1,602
0
30 Sep 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
82
571
0
28 Sep 2020
CA-Net: Comprehensive Attention Convolutional Neural Networks for
  Explainable Medical Image Segmentation
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation
Ran Gu
Guotai Wang
Tao Song
Rui Huang
Michael Aertsen
Jan Deprest
Sébastien Ourselin
Tom Vercauteren
Shaoting Zhang
SSeg
114
469
0
22 Sep 2020
A review of deep learning in medical imaging: Imaging traits, technology
  trends, case studies with progress highlights, and future promises
A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises
S. Kevin Zhou
H. Greenspan
Christos Davatzikos
James S. Duncan
Bram van Ginneken
A. Madabhushi
Jerry L. Prince
Daniel Rueckert
Ronald M. Summers
190
642
0
02 Aug 2020
Bootstrap your own latent: A new approach to self-supervised Learning
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
398
6,844
0
13 Jun 2020
Linformer: Self-Attention with Linear Complexity
Linformer: Self-Attention with Linear Complexity
Sinong Wang
Belinda Z. Li
Madian Khabsa
Han Fang
Hao Ma
216
1,716
0
08 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
ViT3DVPINN
440
13,130
0
26 May 2020
Self-Attention Attribution: Interpreting Information Interactions Inside
  Transformer
Self-Attention Attribution: Interpreting Information Interactions Inside Transformer
Y. Hao
Li Dong
Furu Wei
Ke Xu
ViT
82
225
0
23 Apr 2020
COVID-Net: A Tailored Deep Convolutional Neural Network Design for
  Detection of COVID-19 Cases from Chest X-Ray Images
COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-Ray Images
Linda Wang
A. Wong
OOD
126
2,505
0
22 Mar 2020
Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation
Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation
Huiyu Wang
Yukun Zhu
Bradley Green
Hartwig Adam
Alan Yuille
Liang-Chieh Chen
3DPC
129
673
0
17 Mar 2020
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
500
3,444
0
09 Mar 2020
IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning
IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning
Xi Yang
Ding Xia
Taichi Kin
Takeo Igarashi
66
77
0
02 Mar 2020
Fantastic Generalization Measures and Where to Find Them
Fantastic Generalization Measures and Where to Find Them
Yiding Jiang
Behnam Neyshabur
H. Mobahi
Dilip Krishnan
Samy Bengio
AI4CE
145
611
0
04 Dec 2019
The state of the art in kidney and kidney tumor segmentation in
  contrast-enhanced CT imaging: Results of the KiTS19 Challenge
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge
N. Heller
Fabian Isensee
Klaus H. Maier-Hein
X. Hou
Chunmei Xie
...
S. Peterson
A. Kalapara
N. Sathianathen
Nikolaos Papanikolopoulos
C. Weight
59
489
0
02 Dec 2019
Kvasir-SEG: A Segmented Polyp Dataset
Kvasir-SEG: A Segmented Polyp Dataset
Debesh Jha
P. Smedsrud
Michael A. Riegler
Pål Halvorsen
Thomas de Lange
Dag Johansen
Haavard D. Johansen
188
1,178
0
16 Nov 2019
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
213
12,136
0
13 Nov 2019
On the Relationship between Self-Attention and Convolutional Layers
On the Relationship between Self-Attention and Convolutional Layers
Jean-Baptiste Cordonnier
Andreas Loukas
Martin Jaggi
116
535
0
08 Nov 2019
REFUGE Challenge: A Unified Framework for Evaluating Automated Methods
  for Glaucoma Assessment from Fundus Photographs
REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs
J. Orlando
Huazhu Fu
J. Barbosa-Breda
K. V. Keer
Deepti R. Bathula
...
Fei Li
Xiulan Zhang
Yanwu Xu
Xiulan Zhang
Hrvoje Bogunović
131
618
0
08 Oct 2019
Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models
  for Lung Cancer Detection
Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models for Lung Cancer Detection
Riqiang Gao
Yuankai Huo
Shunxing Bao
Yucheng Tang
S. Antic
...
S. Deppen
Alexis B. Paulson
K. Sandler
P. Massion
Bennett A. Landman
48
42
0
11 Sep 2019
Integrating Spatial Configuration into Heatmap Regression Based CNNs for
  Landmark Localization
Integrating Spatial Configuration into Heatmap Regression Based CNNs for Landmark Localization
Christian Payer
Darko Štern
Horst Bischof
M. Urschler
91
279
0
02 Aug 2019
Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy
  Lifting, the Rest Can Be Pruned
Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned
Elena Voita
David Talbot
F. Moiseev
Rico Sennrich
Ivan Titov
117
1,148
0
23 May 2019
XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using
  Criss-Cross Attention and Customized Radiorealistic Abnormalities Generation
XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using Criss-Cross Attention and Customized Radiorealistic Abnormalities Generation
Youbao Tang
Yuxing Tang
Jing Xiao
Ronald M. Summers
56
119
0
19 Apr 2019
Unsupervised Learning of Probabilistic Diffeomorphic Registration for
  Images and Surfaces
Unsupervised Learning of Probabilistic Diffeomorphic Registration for Images and Surfaces
Adrian Dalca
Guha Balakrishnan
John Guttag
M. Sabuncu
MedImDiffM
96
372
0
08 Mar 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
Unsupervised 3D End-to-End Medical Image Registration with Volume
  Tweening Network
Unsupervised 3D End-to-End Medical Image Registration with Volume Tweening Network
Shengyu Zhao
Ting Fung Lau
Ji Luo
E. Chang
Yan Xu
MedIm
74
231
0
13 Feb 2019
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and
  Expert Comparison
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
Jeremy Irvin
Pranav Rajpurkar
M. Ko
Yifan Yu
Silviana Ciurea-Ilcus
...
D. Larson
C. Langlotz
Bhavik Patel
M. Lungren
A. Ng
118
2,604
0
21 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
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context
Zihang Dai
Zhilin Yang
Yiming Yang
J. Carbonell
Quoc V. Le
Ruslan Salakhutdinov
VLM
260
3,747
0
09 Jan 2019
VoxelMorph: A Learning Framework for Deformable Medical Image
  Registration
VoxelMorph: A Learning Framework for Deformable Medical Image Registration
Guha Balakrishnan
Amy Zhao
M. Sabuncu
John Guttag
Adrian Dalca
MedIm
121
1,578
0
14 Sep 2018
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
Zongwei Zhou
M. R. Siddiquee
Nima Tajbakhsh
Jianming Liang
SSeg
105
6,166
0
18 Jul 2018
Self-Attention Generative Adversarial Networks
Self-Attention Generative Adversarial Networks
Han Zhang
Ian Goodfellow
Dimitris N. Metaxas
Augustus Odena
GAN
151
3,732
0
21 May 2018
Not-so-supervised: a survey of semi-supervised, multi-instance, and
  transfer learning in medical image analysis
Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis
Veronika Cheplygina
Marleen de Bruijne
J. Pluim
77
751
0
17 Apr 2018
Attention U-Net: Learning Where to Look for the Pancreas
Attention U-Net: Learning Where to Look for the Pancreas
Ozan Oktay
Jo Schlemper
Loic Le Folgoc
M. J. Lee
M. Heinrich
...
Jingyu Sun
Nils Y. Hammerla
Bernhard Kainz
Ben Glocker
Daniel Rueckert
SSeg
161
5,068
0
11 Apr 2018
HyperDense-Net: A hyper-densely connected CNN for multi-modal image
  segmentation
HyperDense-Net: A hyper-densely connected CNN for multi-modal image segmentation
Jose Dolz
Karthik Gopinath
Jing Yuan
H. Lombaert
Christian Desrosiers
Ismail ben Ayed
3DH
62
438
0
09 Apr 2018
Self-Attention with Relative Position Representations
Self-Attention with Relative Position Representations
Peter Shaw
Jakob Uszkoreit
Ashish Vaswani
182
2,299
0
06 Mar 2018
Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net)
  for Medical Image Segmentation
Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation
Md. Zahangir Alom
Mahmudul Hasan
C. Yakopcic
T. Taha
V. Asari
SSeg
97
1,019
0
20 Feb 2018
Visual Interpretability for Deep Learning: a Survey
Visual Interpretability for Deep Learning: a Survey
Quanshi Zhang
Song-Chun Zhu
FaMLHAI
144
822
0
02 Feb 2018
Visualizing the Loss Landscape of Neural Nets
Visualizing the Loss Landscape of Neural Nets
Hao Li
Zheng Xu
Gavin Taylor
Christoph Studer
Tom Goldstein
264
1,901
0
28 Dec 2017
Quantifying Translation-Invariance in Convolutional Neural Networks
Quantifying Translation-Invariance in Convolutional Neural Networks
Eric Kauderer-Abrams
65
113
0
10 Dec 2017
Road Extraction by Deep Residual U-Net
Road Extraction by Deep Residual U-Net
Zhengxin Zhang
Qingjie Liu
Yunhong Wang
SSeg
80
2,134
0
29 Nov 2017
Skin Lesion Analysis Toward Melanoma Detection: A Challenge at the 2017
  International Symposium on Biomedical Imaging (ISBI), Hosted by the
  International Skin Imaging Collaboration (ISIC)
Skin Lesion Analysis Toward Melanoma Detection: A Challenge at the 2017 International Symposium on Biomedical Imaging (ISBI), Hosted by the International Skin Imaging Collaboration (ISIC)
Noel Codella
D. Gutman
M. E. Celebi
Brian Helba
Michael Marchetti
...
Aadi Kalloo
Konstantinos Liopyris
N. Mishra
Harald Kittler
Allan Halpern
94
2,082
0
13 Oct 2017
Framing U-Net via Deep Convolutional Framelets: Application to
  Sparse-view CT
Framing U-Net via Deep Convolutional Framelets: Application to Sparse-view CT
Yoseob Han
J. C. Ye
74
519
0
28 Aug 2017
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
João Carreira
Andrew Zisserman
240
8,041
0
22 May 2017
Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural
  Networks with Many More Parameters than Training Data
Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training Data
Gintare Karolina Dziugaite
Daniel M. Roy
117
820
0
31 Mar 2017
Understanding the Effective Receptive Field in Deep Convolutional Neural
  Networks
Understanding the Effective Receptive Field in Deep Convolutional Neural Networks
Wenjie Luo
Yujia Li
R. Urtasun
R. Zemel
HAI
102
1,803
0
15 Jan 2017
Pyramid Scene Parsing Network
Pyramid Scene Parsing Network
Hengshuang Zhao
Jianping Shi
Xiaojuan Qi
Xiaogang Wang
Jiaya Jia
VOSSSeg
665
12,035
0
04 Dec 2016
A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images
A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images
David Vázquez
Jorge Bernal
F. Sánchez
Gloria Fernández-Esparrach
Antonio M. López
Adriana Romero
M. Drozdzal
Aaron Courville
3DV
178
642
0
02 Dec 2016
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