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Medical Transformer: Gated Axial-Attention for Medical Image
  Segmentation

Medical Transformer: Gated Axial-Attention for Medical Image Segmentation

21 February 2021
Jeya Maria Jose Valanarasu
Poojan Oza
I. Hacihaliloglu
Vishal M. Patel
    ViT
    MedIm
ArXivPDFHTML

Papers citing "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation"

50 / 105 papers shown
Title
ConvTransSeg: A Multi-resolution Convolution-Transformer Network for
  Medical Image Segmentation
ConvTransSeg: A Multi-resolution Convolution-Transformer Network for Medical Image Segmentation
Zhendi Gong
Andrew P. French
Guoping Qiu
Xin Chen
ViT
MedIm
38
6
0
13 Oct 2022
Masked Supervised Learning for Semantic Segmentation
Masked Supervised Learning for Semantic Segmentation
H. Zunair
A. Ben Hamza
24
6
0
03 Oct 2022
Cascaded Multi-Modal Mixing Transformers for Alzheimer's Disease
  Classification with Incomplete Data
Cascaded Multi-Modal Mixing Transformers for Alzheimer's Disease Classification with Incomplete Data
Linfeng Liu
Siyu Liu
Lu Zhang
X. To
F. Nasrallah
Shekhar S. Chandra
MedIm
34
52
0
01 Oct 2022
HistoSeg : Quick attention with multi-loss function for multi-structure
  segmentation in digital histology images
HistoSeg : Quick attention with multi-loss function for multi-structure segmentation in digital histology images
Saad Wazir
M. Fraz
14
35
0
01 Sep 2022
Few-Shot Learning Meets Transformer: Unified Query-Support Transformers
  for Few-Shot Classification
Few-Shot Learning Meets Transformer: Unified Query-Support Transformers for Few-Shot Classification
Xixi Wang
Tianlin Li
Bo Jiang
Bin Luo
40
42
0
26 Aug 2022
Cats: Complementary CNN and Transformer Encoders for Segmentation
Cats: Complementary CNN and Transformer Encoders for Segmentation
Hao Li
Dewei Hu
Han Liu
Jiacheng Wang
I. Oguz
ViT
MedIm
26
22
0
24 Aug 2022
Deep is a Luxury We Don't Have
Deep is a Luxury We Don't Have
Ahmed Taha
Yen Nhi Truong Vu
Brent Mombourquette
Thomas P. Matthews
Jason Su
Sadanand Singh
ViT
MedIm
26
2
0
11 Aug 2022
TransDeepLab: Convolution-Free Transformer-based DeepLab v3+ for Medical
  Image Segmentation
TransDeepLab: Convolution-Free Transformer-based DeepLab v3+ for Medical Image Segmentation
Reza Azad
Moein Heidari
M. Shariatnia
Ehsan Khodapanah Aghdam
Sanaz Karimijafarbigloo
Ehsan Adeli
Dorit Merhof
ViT
MedIm
25
94
0
01 Aug 2022
TransNorm: Transformer Provides a Strong Spatial Normalization Mechanism
  for a Deep Segmentation Model
TransNorm: Transformer Provides a Strong Spatial Normalization Mechanism for a Deep Segmentation Model
Reza Azad
Mohammad T. Al-Antary
Moein Heidari
Dorit Merhof
ViT
MedIm
32
72
0
27 Jul 2022
Improved Super Resolution of MR Images Using CNNs and Vision
  Transformers
Improved Super Resolution of MR Images Using CNNs and Vision Transformers
Dwarikanath Mahapatra
SupR
ViT
MedIm
27
5
0
24 Jul 2022
HiFormer: Hierarchical Multi-scale Representations Using Transformers
  for Medical Image Segmentation
HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image Segmentation
Moein Heidari
A. Kazerouni
Milad Soltany Kadarvish
Reza Azad
Ehsan Khodapanah Aghdam
Julien Cohen-Adad
Dorit Merhof
MedIm
ViT
25
178
0
18 Jul 2022
Multi-branch Cascaded Swin Transformers with Attention to k-space
  Sampling Pattern for Accelerated MRI Reconstruction
Multi-branch Cascaded Swin Transformers with Attention to k-space Sampling Pattern for Accelerated MRI Reconstruction
Mevan Ekanayake
Kamlesh Pawar
Mehrtash Harandi
Gary Egan
Zhaolin Chen
ViT
MedIm
32
7
0
18 Jul 2022
Defect Transformer: An Efficient Hybrid Transformer Architecture for
  Surface Defect Detection
Defect Transformer: An Efficient Hybrid Transformer Architecture for Surface Defect Detection
Junpu Wang
Guili Xu
Fuju Yan
Jinjin Wang
Zhengsheng Wang
ViT
MedIm
28
66
0
17 Jul 2022
TFCNs: A CNN-Transformer Hybrid Network for Medical Image Segmentation
TFCNs: A CNN-Transformer Hybrid Network for Medical Image Segmentation
Zihan Li
Dihan Li
Cangbai Xu
Wei-Chien Wang
Qingqi Hong
Qingde Li
Jie Tian
ViT
MedIm
35
46
0
07 Jul 2022
CASHformer: Cognition Aware SHape Transformer for Longitudinal Analysis
CASHformer: Cognition Aware SHape Transformer for Longitudinal Analysis
Ignacio Sarasua
Sebastian Polsterl
Christian Wachinger
MedIm
18
1
0
05 Jul 2022
LViT: Language meets Vision Transformer in Medical Image Segmentation
LViT: Language meets Vision Transformer in Medical Image Segmentation
Zihan Li
Yunxiang Li
Qingde Li
Puyang Wang
Dazhou Guo
Le Lu
D. Jin
You Zhang
Qingqi Hong
VLM
MedIm
67
134
0
29 Jun 2022
ICOS Protein Expression Segmentation: Can Transformer Networks Give
  Better Results?
ICOS Protein Expression Segmentation: Can Transformer Networks Give Better Results?
Vivek Kumar Singh
P. O'Reilly
J. James
M. Salto‐Tellez
P. Maxwell
ViT
MedIm
40
0
0
23 Jun 2022
EATFormer: Improving Vision Transformer Inspired by Evolutionary
  Algorithm
EATFormer: Improving Vision Transformer Inspired by Evolutionary Algorithm
Jiangning Zhang
Xiangtai Li
Yabiao Wang
Chengjie Wang
Yibo Yang
Yong Liu
Dacheng Tao
ViT
39
32
0
19 Jun 2022
MPANet: Multi-Patch Attention For Infrared Small Target object Detection
MPANet: Multi-Patch Attention For Infrared Small Target object Detection
Ao Wang
Wei Li
Xin Wu
Zhanchao Huang
Ran Tao
32
13
0
05 Jun 2022
Brachial Plexus Nerve Trunk Segmentation Using Deep Learning: A
  Comparative Study with Doctors' Manual Segmentation
Brachial Plexus Nerve Trunk Segmentation Using Deep Learning: A Comparative Study with Doctors' Manual Segmentation
Yu Wang
Binbin Zhu
Lingsi Kong
Jianlin Wang
Bin Gao
Jianhua Wang
Dingcheng Tian
Yudong Yao
21
7
0
17 May 2022
POViT: Vision Transformer for Multi-objective Design and Characterization of Nanophotonic Devices
Xinyu Chen
Renjie Li
Yueyao Yu
Yuanwen Shen
Wenye Li
Zhaoyu Zhang
Yin Zhang
ViT
28
1
0
17 May 2022
One Model to Synthesize Them All: Multi-contrast Multi-scale Transformer
  for Missing Data Imputation
One Model to Synthesize Them All: Multi-contrast Multi-scale Transformer for Missing Data Imputation
Jiang Liu
Srivathsa Pasumarthi
B. Duffy
Enhao Gong
Keshav Datta
Greg Zaharchuk
ViT
MedIm
24
55
0
28 Apr 2022
3D Shuffle-Mixer: An Efficient Context-Aware Vision Learner of
  Transformer-MLP Paradigm for Dense Prediction in Medical Volume
3D Shuffle-Mixer: An Efficient Context-Aware Vision Learner of Transformer-MLP Paradigm for Dense Prediction in Medical Volume
Jianye Pang
Cheng Jiang
Yihao Chen
Jianbo Chang
M. Feng
Renzhi Wang
Jianhua Yao
ViT
MedIm
28
11
0
14 Apr 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
32
17
0
29 Mar 2022
CAT-Net: A Cross-Slice Attention Transformer Model for Prostate Zonal
  Segmentation in MRI
CAT-Net: A Cross-Slice Attention Transformer Model for Prostate Zonal Segmentation in MRI
A. Hung
Haoxin Zheng
Qi Miao
S. Raman
D. Terzopoulos
Kyunghyun Sung
ViT
MedIm
38
44
0
29 Mar 2022
Transformers Meet Visual Learning Understanding: A Comprehensive Review
Transformers Meet Visual Learning Understanding: A Comprehensive Review
Yuting Yang
Licheng Jiao
Xuantong Liu
F. Liu
Shuyuan Yang
Zhixi Feng
Xu Tang
ViT
MedIm
27
28
0
24 Mar 2022
The Principle of Diversity: Training Stronger Vision Transformers Calls
  for Reducing All Levels of Redundancy
The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy
Tianlong Chen
Zhenyu Zhang
Yu Cheng
Ahmed Hassan Awadallah
Zhangyang Wang
ViT
41
37
0
12 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
38
483
0
09 Mar 2022
Characterizing Renal Structures with 3D Block Aggregate Transformers
Characterizing Renal Structures with 3D Block Aggregate Transformers
Xin Yu
Yucheng Tang
Yinchi Zhou
Riqiang Gao
Qi Yang
...
Yuankai Huo
Zhoubing Xu
Thomas A. Lasko
R. Abramson
Bennett A. Landman
MedIm
ViT
32
3
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
28
45
0
03 Mar 2022
Temporal Context Matters: Enhancing Single Image Prediction with Disease
  Progression Representations
Temporal Context Matters: Enhancing Single Image Prediction with Disease Progression Representations
Aishik Konwer
Xuan Xu
Joseph Bae
Chaoyu Chen
Prateek Prasanna
MedIm
36
15
0
02 Mar 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
ViT
MedIm
31
35
0
24 Feb 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
ViT
MedIm
19
26
0
26 Jan 2022
3D Medical Point Transformer: Introducing Convolution to Attention
  Networks for Medical Point Cloud Analysis
3D Medical Point Transformer: Introducing Convolution to Attention Networks for Medical Point Cloud Analysis
Jianhui Yu
Chaoyi Zhang
Heng Wang
Dingxin Zhang
Yang Song
Tiange Xiang
Dongnan Liu
Weidong (Tom) Cai
ViT
MedIm
21
32
0
09 Dec 2021
TransWeather: Transformer-based Restoration of Images Degraded by
  Adverse Weather Conditions
TransWeather: Transformer-based Restoration of Images Degraded by Adverse Weather Conditions
Jeya Maria Jose Valanarasu
R. Yasarla
Vishal M. Patel
ViT
54
276
0
29 Nov 2021
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image
  Analysis
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis
Yucheng Tang
Dong Yang
Wenqi Li
H. Roth
Bennett Landman
Daguang Xu
V. Nath
Ali Hatamizadeh
ViT
MedIm
42
518
0
29 Nov 2021
TRIG: Transformer-Based Text Recognizer with Initial Embedding Guidance
TRIG: Transformer-Based Text Recognizer with Initial Embedding Guidance
Yuefeng Tao
Zhiwei Jia
Runze Ma
Shugong Xu
ViT
23
6
0
16 Nov 2021
Are we ready for a new paradigm shift? A Survey on Visual Deep MLP
Are we ready for a new paradigm shift? A Survey on Visual Deep MLP
Ruiyang Liu
Hai-Tao Zheng
Li Tao
Dun Liang
Haitao Zheng
85
97
0
07 Nov 2021
UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise
  Perspective with Transformer
UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer
Haonan Wang
Peng Cao
Jiaqi Wang
Osmar R. Zaiane
MedIm
ViT
129
712
0
09 Sep 2021
nnFormer: Interleaved Transformer for Volumetric Segmentation
nnFormer: Interleaved Transformer for Volumetric Segmentation
Hong-Yu Zhou
J. Guo
Yinghao Zhang
Lequan Yu
Liansheng Wang
Yizhou Yu
ViT
MedIm
27
307
0
07 Sep 2021
Evaluating Transformer-based Semantic Segmentation Networks for
  Pathological Image Segmentation
Evaluating Transformer-based Semantic Segmentation Networks for Pathological Image Segmentation
Cam-Ngoan Nguyen
Zuhayr Asad
Yuankai Huo
ViT
MedIm
29
35
0
26 Aug 2021
CaraNet: Context Axial Reverse Attention Network for Segmentation of
  Small Medical Objects
CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical Objects
Ange Lou
Shuyue Guan
Hanseok Ko
Murray H. Loew
150
193
0
16 Aug 2021
Image Fusion Transformer
Image Fusion Transformer
VS Vibashan
Jeya Maria Jose Valanarasu
Poojan Oza
Vishal M. Patel
ViT
30
116
0
19 Jul 2021
Weaving Attention U-net: A Novel Hybrid CNN and Attention-based Method
  for Organs-at-risk Segmentation in Head and Neck CT Images
Weaving Attention U-net: A Novel Hybrid CNN and Attention-based Method for Organs-at-risk Segmentation in Head and Neck CT Images
Zhuangzhuang Zhang
T. Zhao
Hiram Gay
Weixiong Zhang
B. Sun
30
19
0
10 Jul 2021
Rethinking Transfer Learning for Medical Image Classification
Rethinking Transfer Learning for Medical Image Classification
Le Peng
Hengyue Liang
Gaoxiang Luo
Taihui Li
Ju Sun
VLM
LM&MA
16
5
0
09 Jun 2021
Analogous to Evolutionary Algorithm: Designing a Unified Sequence Model
Analogous to Evolutionary Algorithm: Designing a Unified Sequence Model
Jiangning Zhang
Chao Xu
Jian Li
Wenzhou Chen
Yabiao Wang
Ying Tai
Shuo Chen
Chengjie Wang
Feiyue Huang
Yong Liu
40
22
0
31 May 2021
Recent advances and clinical applications of deep learning in medical
  image analysis
Recent advances and clinical applications of deep learning in medical image analysis
Xuxin Chen
Ximing Wang
Kecheng Zhang
K. Fung
T. Thai
K. Moore
Robert S. Mannel
Hong Liu
B. Zheng
Y. Qiu
OOD
18
574
0
27 May 2021
Pyramid Medical Transformer for Medical Image Segmentation
Pyramid Medical Transformer for Medical Image Segmentation
Zhuangzhuang Zhang
Weixiong Zhang
ViT
MedIm
16
46
0
29 Apr 2021
Vision Transformers with Patch Diversification
Vision Transformers with Patch Diversification
Chengyue Gong
Dilin Wang
Meng Li
Vikas Chandra
Qiang Liu
ViT
45
62
0
26 Apr 2021
Multiscale Vision Transformers
Multiscale Vision Transformers
Haoqi Fan
Bo Xiong
K. Mangalam
Yanghao Li
Zhicheng Yan
Jitendra Malik
Christoph Feichtenhofer
ViT
63
1,224
0
22 Apr 2021
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