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TransUNet: Transformers Make Strong Encoders for Medical Image
  Segmentation

TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

8 February 2021
Jieneng Chen
Yongyi Lu
Qihang Yu
Xiangde Luo
Ehsan Adeli
Yan Wang
Le Lu
Alan Yuille
Yuyin Zhou
    ViTMedIm
ArXiv (abs)PDFHTMLGithub (2787★)

Papers citing "TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation"

50 / 1,040 papers shown
Title
UNetFormer: A Unified Vision Transformer Model and Pre-Training
  Framework for 3D Medical Image Segmentation
UNetFormer: A Unified Vision Transformer Model and Pre-Training Framework for 3D Medical Image Segmentation
Ali Hatamizadeh
Ziyue Xu
Dong Yang
Wenqi Li
H. Roth
Daguang Xu
ViTMedIm
91
29
0
01 Apr 2022
Surface Vision Transformers: Attention-Based Modelling applied to
  Cortical Analysis
Surface Vision Transformers: Attention-Based Modelling applied to Cortical Analysis
Simon Dahan
Abdulah Fawaz
Logan Z. J. Williams
Chunhui Yang
Timothy S. Coalson
M. Glasser
A. Edwards
Daniel Rueckert
E. C. Robinson
MedImViT
81
21
0
30 Mar 2022
Target and Task specific Source-Free Domain Adaptive Image Segmentation
Target and Task specific Source-Free Domain Adaptive Image Segmentation
VS Vibashan
Jeya Maria Jose Valanarasu
Vishal M. Patel
OOD
71
19
0
29 Mar 2022
Cross-Modality High-Frequency Transformer for MR Image Super-Resolution
Cross-Modality High-Frequency Transformer for MR Image Super-Resolution
Chaowei Fang
Di Zhang
Liang Wang
Yulun Zhang
Lechao Cheng
Junwei Han
ViTMedIm
96
49
0
29 Mar 2022
Vision Transformers in Medical Computer Vision -- A Contemplative
  Retrospection
Vision Transformers in Medical Computer Vision -- A Contemplative Retrospection
Arshi Parvaiz
Muhammad Anwaar Khalid
Rukhsana Zafar
Huma Ameer
M. Ali
M. Fraz
MedIm
79
63
0
29 Mar 2022
Min-Max Similarity: A Contrastive Semi-Supervised Deep Learning Network
  for Surgical Tools Segmentation
Min-Max Similarity: A Contrastive Semi-Supervised Deep Learning Network for Surgical Tools Segmentation
Ange Lou
Kareem O. Tawfik
X. Yao
Ziteng Liu
J. Noble
106
39
0
29 Mar 2022
A General Survey on Attention Mechanisms in Deep Learning
A General Survey on Attention Mechanisms in Deep Learning
Gianni Brauwers
Flavius Frasincar
104
334
0
27 Mar 2022
Transformers Meet Visual Learning Understanding: A Comprehensive Review
Transformers Meet Visual Learning Understanding: A Comprehensive Review
Yuting Yang
Licheng Jiao
Xuantong Liu
Fan Liu
Shuyuan Yang
Zhixi Feng
Xu Tang
ViTMedIm
118
28
0
24 Mar 2022
AnoViT: Unsupervised Anomaly Detection and Localization with Vision
  Transformer-based Encoder-Decoder
AnoViT: Unsupervised Anomaly Detection and Localization with Vision Transformer-based Encoder-Decoder
Yunseung Lee
Pilsung Kang
ViT
88
77
0
21 Mar 2022
GroupTransNet: Group Transformer Network for RGB-D Salient Object
  Detection
GroupTransNet: Group Transformer Network for RGB-D Salient Object Detection
Xian Fang
Jin-lei Zhu
Xiuli Shao
Hongpeng Wang
ViT
79
14
0
21 Mar 2022
TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation
  with Transformers
TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers
Ding Liu
Yunhe Gao
Qilong Zhangli
Ligong Han
Xiaoxiao He
...
Song Wen
Qi Chang
Zhennan Yan
Mu Zhou
Dimitris N. Metaxas
MedIm
110
33
0
21 Mar 2022
Soft-CP: A Credible and Effective Data Augmentation for Semantic
  Segmentation of Medical Lesions
Soft-CP: A Credible and Effective Data Augmentation for Semantic Segmentation of Medical Lesions
Pingping Dai
Licong Dong
Ruihan Zhang
Haiming Zhu
Jie Wu
Kehong Yuan
MedIm
57
4
0
20 Mar 2022
SepTr: Separable Transformer for Audio Spectrogram Processing
SepTr: Separable Transformer for Audio Spectrogram Processing
Nicolae-Cătălin Ristea
Radu Tudor Ionescu
Fahad Shahbaz Khan
ViT
96
32
0
17 Mar 2022
Simulation-Driven Training of Vision Transformers Enabling Metal
  Segmentation in X-Ray Images
Simulation-Driven Training of Vision Transformers Enabling Metal Segmentation in X-Ray Images
F. Fan
L. Ritschl
M. Beister
R. Biniazan
Björn Kreher
Tristan M. Gottschalk
Steffen Kappler
Andreas Maier
ViTMedIm
37
1
0
17 Mar 2022
Graph Flow: Cross-layer Graph Flow Distillation for Dual Efficient
  Medical Image Segmentation
Graph Flow: Cross-layer Graph Flow Distillation for Dual Efficient Medical Image Segmentation
Wen Zou
Muyi Sun
81
18
0
16 Mar 2022
PC-SwinMorph: Patch Representation for Unsupervised Medical Image
  Registration and Segmentation
PC-SwinMorph: Patch Representation for Unsupervised Medical Image Registration and Segmentation
Lihao Liu
Zhening Huang
Pietro Lio
Carola-Bibiane Schönlieb
Angelica I. Aviles-Rivero
78
16
0
10 Mar 2022
On-the-Fly Test-time Adaptation for Medical Image Segmentation
On-the-Fly Test-time Adaptation for Medical Image Segmentation
Jeya Maria Jose Valanarasu
Pengfei Guo
VS Vibashan
Vishal M. Patel
OOD
65
30
0
10 Mar 2022
Self Pre-training with Masked Autoencoders for Medical Image
  Classification and Segmentation
Self Pre-training with Masked Autoencoders for Medical Image Classification and Segmentation
Lei Zhou
Huidong Liu
Joseph Bae
Junjun He
Dimitris Samaras
Prateek Prasanna
MedImViT
71
70
0
10 Mar 2022
UNeXt: MLP-based Rapid Medical Image Segmentation Network
UNeXt: MLP-based Rapid Medical Image Segmentation Network
Jeya Maria Jose Valanarasu
Vishal M. Patel
SSeg
78
520
0
09 Mar 2022
PHTrans: Parallelly Aggregating Global and Local Representations for
  Medical Image Segmentation
PHTrans: Parallelly Aggregating Global and Local Representations for Medical Image Segmentation
Wentao Liu
Tong Tian
Weijing Xu
Huihua Yang
Xipeng Pan
Songlin Yan
Lemeng Wang
ViTMedIm
69
54
0
09 Mar 2022
Deep-ASPECTS: A Segmentation-Assisted Model for Stroke Severity
  Measurement
Deep-ASPECTS: A Segmentation-Assisted Model for Stroke Severity Measurement
Ujjwal Upadhyay
Mukul Ranjan
S. Golla
Swetha Tanamala
Preetham Sreenivas
Sasank Chilamkurthy
J. Pandian
J. Tarpley
29
4
0
05 Mar 2022
BoostMIS: Boosting Medical Image Semi-supervised Learning with Adaptive
  Pseudo Labeling and Informative Active Annotation
BoostMIS: Boosting Medical Image Semi-supervised Learning with Adaptive Pseudo Labeling and Informative Active Annotation
Wenqiao Zhang
Lei Zhu
James Hallinan
A. Makmur
Shengyu Zhang
Qingpeng Cai
Beng Chin Ooi
129
86
0
04 Mar 2022
Scribble-Supervised Medical Image Segmentation via Dual-Branch Network
  and Dynamically Mixed Pseudo Labels Supervision
Scribble-Supervised Medical Image Segmentation via Dual-Branch Network and Dynamically Mixed Pseudo Labels Supervision
Xiangde Luo
Minhao Hu
Wenjun Liao
Shuwei Zhai
Tao Song
Guotai Wang
Shaoting Zhang
98
104
0
04 Mar 2022
Recent Advances in Vision Transformer: A Survey and Outlook of Recent
  Work
Recent Advances in Vision Transformer: A Survey and Outlook of Recent Work
Khawar Islam
ViT
158
51
0
03 Mar 2022
Contextual Attention Network: Transformer Meets U-Net
Contextual Attention Network: Transformer Meets U-Net
Reza Azad
Moein Heidari
Yuli Wu
Dorit Merhof
ViTMedIm
69
77
0
02 Mar 2022
A Data-scalable Transformer for Medical Image Segmentation:
  Architecture, Model Efficiency, and Benchmark
A Data-scalable Transformer for Medical Image Segmentation: Architecture, Model Efficiency, and Benchmark
Yunhe Gao
Mu Zhou
Ding Liu
Zhennan Yan
Shaoting Zhang
Dimitris N. Metaxas
ViTMedIm
133
72
0
28 Feb 2022
DXM-TransFuse U-net: Dual Cross-Modal Transformer Fusion U-net for
  Automated Nerve Identification
DXM-TransFuse U-net: Dual Cross-Modal Transformer Fusion U-net for Automated Nerve Identification
Baijun Xie
Gary Milam
B. Ning
J. Cha
C. Park
MedIm
62
7
0
27 Feb 2022
Diffeomorphic Image Registration with Neural Velocity Field
Diffeomorphic Image Registration with Neural Velocity Field
Kun Han
Shanlin Sun
Xiangyi Yan
Chenyu You
Hao Tang
Junayed Naushad
Haoyu Ma
Deying Kong
Xiaohui Xie
MedIm
112
21
0
25 Feb 2022
Factorizer: A Scalable Interpretable Approach to Context Modeling for
  Medical Image Segmentation
Factorizer: A Scalable Interpretable Approach to Context Modeling for Medical Image Segmentation
Pooya Ashtari
Diana Sima
L. De Lathauwer
D. Sappey-Marinier
F. Maes
Sabine Van Huffel
ViTMedIm
79
38
0
24 Feb 2022
Transformers in Medical Image Analysis: A Review
Transformers in Medical Image Analysis: A Review
Kelei He
Chen Gan
Zhuoyuan Li
I. Rekik
Zihao Yin
Wen Ji
Yang Gao
Qian Wang
Junfeng Zhang
Dinggang Shen
ViTMedIm
132
276
0
24 Feb 2022
A Transformer-based Network for Deformable Medical Image Registration
A Transformer-based Network for Deformable Medical Image Registration
Yibo Wang
W. Qian
Xuming Zhang
ViTMedIm
30
10
0
24 Feb 2022
When Transformer Meets Robotic Grasping: Exploits Context for Efficient
  Grasp Detection
When Transformer Meets Robotic Grasping: Exploits Context for Efficient Grasp Detection
Shaochen Wang
Zhangli Zhou
Z. Kan
ViT
113
77
0
24 Feb 2022
Learning Perspective Deformation in X-Ray Transmission Imaging
Learning Perspective Deformation in X-Ray Transmission Imaging
Yixing Huang
Andreas Maier
Fuxin Fan
Björn Kreher
Xiaolin Huang
R. Fietkau
Christoph Bert
F. Putz
MedIm
102
1
0
13 Feb 2022
AA-TransUNet: Attention Augmented TransUNet For Nowcasting Tasks
AA-TransUNet: Attention Augmented TransUNet For Nowcasting Tasks
Yimin Yang
S. Mehrkanoon
ViTAI4TS
91
42
0
10 Feb 2022
DCSAU-Net: A Deeper and More Compact Split-Attention U-Net for Medical
  Image Segmentation
DCSAU-Net: A Deeper and More Compact Split-Attention U-Net for Medical Image Segmentation
Qing Xu
Zhicheng Ma
Nana He
Wenting Duan
SSegOOD
98
245
0
02 Feb 2022
TransBTSV2: Towards Better and More Efficient Volumetric Segmentation of
  Medical Images
TransBTSV2: Towards Better and More Efficient Volumetric Segmentation of Medical Images
Jiangyun Li
Wenxuan Wang
Chen Chen
Tianxiang Zhang
Sen Zha
Jing Wang
Hong Yu
ViTMedIm
124
25
0
30 Jan 2022
Generalised Image Outpainting with U-Transformer
Generalised Image Outpainting with U-Transformer
Penglei Gao
Xi Yang
Rui Zhang
John Y. Goulermas
Yujie Geng
Yuyao Yan
Kaizhu Huang
ViT
88
17
0
27 Jan 2022
Joint Liver and Hepatic Lesion Segmentation in MRI using a Hybrid CNN
  with Transformer Layers
Joint Liver and Hepatic Lesion Segmentation in MRI using a Hybrid CNN with Transformer Layers
Georg Hille
Shubham Agrawal
Pavan Tummala
C. Wybranski
M. Pech
A. Surov
S. Saalfeld
ViTMedIm
43
28
0
26 Jan 2022
Transformers in Medical Imaging: A Survey
Transformers in Medical Imaging: A Survey
Fahad Shamshad
Salman Khan
Syed Waqas Zamir
Muhammad Haris Khan
Munawar Hayat
Fahad Shahbaz Khan
Huazhu Fu
ViTLM&MAMedIm
195
709
0
24 Jan 2022
Improving Across-Dataset Brain Tissue Segmentation Using Transformer
Improving Across-Dataset Brain Tissue Segmentation Using Transformer
Vishwanatha M. Rao
Zihang Wan
Soroush Arabshahi
David J. Ma
Pin-Yu Lee
Ye Tian
Xuzhe Zhang
Andrew F. Laine
Jia Guo
ViTMedIm
53
13
0
21 Jan 2022
Automatic Segmentation of Head and Neck Tumor: How Powerful Transformers
  Are?
Automatic Segmentation of Head and Neck Tumor: How Powerful Transformers Are?
I. Sobirov
Otabek Nazarov
Hussain Alasmawi
Mohammad Yaqub
ViTMedIm
47
11
0
17 Jan 2022
ViTBIS: Vision Transformer for Biomedical Image Segmentation
ViTBIS: Vision Transformer for Biomedical Image Segmentation
Abhinav Sagar
ViTMedIm
101
20
0
15 Jan 2022
Swin Transformer coupling CNNs Makes Strong Contextual Encoders for VHR
  Image Road Extraction
Swin Transformer coupling CNNs Makes Strong Contextual Encoders for VHR Image Road Extraction
Tao Chen
Yiran Liu
Haoyu Jiang
Ruirui Li
ViT
36
0
0
10 Jan 2022
Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors
  in MRI Images
Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images
Ali Hatamizadeh
V. Nath
Yucheng Tang
Dong Yang
H. Roth
Daguang Xu
ViTMedIm
160
1,156
0
04 Jan 2022
D-Former: A U-shaped Dilated Transformer for 3D Medical Image
  Segmentation
D-Former: A U-shaped Dilated Transformer for 3D Medical Image Segmentation
YiXuan Wu
Kuan-Yu Liao
Jintai Chen
Jinhong Wang
Benlin Liu
Honghao Gao
Jian Wu
ViTMedIm
97
118
0
03 Jan 2022
Recurrent Feature Propagation and Edge Skip-Connections for Automatic
  Abdominal Organ Segmentation
Recurrent Feature Propagation and Edge Skip-Connections for Automatic Abdominal Organ Segmentation
Zefan Yang
Di Lin
Dong Ni
Yi Wang
MedIm
64
7
0
02 Jan 2022
Generalized Wasserstein Dice Loss, Test-time Augmentation, and
  Transformers for the BraTS 2021 challenge
Generalized Wasserstein Dice Loss, Test-time Augmentation, and Transformers for the BraTS 2021 challenge
Lucas Fidon
Suprosanna Shit
Ivan Ezhov
Johannes C. Paetzold
Sébastien Ourselin
Tom Vercauteren
ViTMedIm
64
9
0
24 Dec 2021
Deep ensembles in bioimage segmentation
Deep ensembles in bioimage segmentation
L. Nanni
Daniela Cuza
A. Lumini
Andrea Loreggia
S. Brahnam
SSeg
78
8
0
24 Dec 2021
Shape from Polarization for Complex Scenes in the Wild
Shape from Polarization for Complex Scenes in the Wild
Chenyang Lei
Chenyang Qi
Jiaxin Xie
Na Fan
V. Koltun
Qifeng Chen
78
65
0
21 Dec 2021
iSegFormer: Interactive Segmentation via Transformers with Application
  to 3D Knee MR Images
iSegFormer: Interactive Segmentation via Transformers with Application to 3D Knee MR Images
Qin Liu
Zhenlin Xu
Yining Jiao
Marc Niethammer
ViTMedIm
116
38
0
21 Dec 2021
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