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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

4 January 2022
Ali Hatamizadeh
V. Nath
Yucheng Tang
Dong Yang
H. Roth
Daguang Xu
    ViTMedIm
ArXiv (abs)PDFHTML

Papers citing "Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images"

23 / 423 papers shown
Title
High-Resolution Swin Transformer for Automatic Medical Image
  Segmentation
High-Resolution Swin Transformer for Automatic Medical Image Segmentation
Chen Wei
Shenghan Ren
Kaitai Guo
Haihong Hu
Jimin Liang
ViTOODMedIm
57
43
0
23 Jul 2022
Comparative Validation of AI and non-AI Methods in MRI Volumetry to
  Diagnose Parkinsonian Syndromes
Comparative Validation of AI and non-AI Methods in MRI Volumetry to Diagnose Parkinsonian Syndromes
Joomee Song
Juyoung Hahm
Jisoo Lee
Chae Yeon Lim
M. Chung
J. Youn
J. Cho
J. H. Ahn
Kyungsu Kim
29
9
0
23 Jul 2022
Focused Decoding Enables 3D Anatomical Detection by Transformers
Focused Decoding Enables 3D Anatomical Detection by Transformers
Bastian Wittmann
Fernando Navarro
Suprosanna Shit
Bjoern Menze
ViTMedIm
74
10
0
21 Jul 2022
CKD-TransBTS: Clinical Knowledge-Driven Hybrid Transformer with
  Modality-Correlated Cross-Attention for Brain Tumor Segmentation
CKD-TransBTS: Clinical Knowledge-Driven Hybrid Transformer with Modality-Correlated Cross-Attention for Brain Tumor Segmentation
Jianwei Lin
Jiatai Lin
Chenghao Lu
Hao Chen
Huan Lin
...
Biao Huang
C. Liang
Guoqiang Han
Zaiyi Liu
Chu Han
MedIm
84
78
0
15 Jul 2022
FakeNews: GAN-based generation of realistic 3D volumetric data -- A
  systematic review and taxonomy
FakeNews: GAN-based generation of realistic 3D volumetric data -- A systematic review and taxonomy
André Ferreira
Jianning Li
Kelsey L. Pomykala
Jens Kleesiek
Victor Alves
Jan Egger
MedIm
68
24
0
04 Jul 2022
COVID Detection and Severity Prediction with 3D-ConvNeXt and Custom
  Pretrainings
COVID Detection and Severity Prediction with 3D-ConvNeXt and Custom Pretrainings
Daniel Kienzle
Julian Lorenz
Robin Schon
K. Ludwig
Rainer Lienhart
3DPC
59
14
0
30 Jun 2022
Reinforcement Learning in Medical Image Analysis: Concepts,
  Applications, Challenges, and Future Directions
Reinforcement Learning in Medical Image Analysis: Concepts, Applications, Challenges, and Future Directions
Mingzhe Hu
Jiahan Zhang
L. Matkovic
Tian Liu
Xiaofeng Yang
OffRL
66
55
0
28 Jun 2022
AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile
  Medical Image Segmentation
AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation
Yuanfeng Ji
Haotian Bai
Jie Yang
Chongjian Ge
Ye Zhu
...
Zhuguo Li
Lingyan Zhang
Wanling Ma
Xiang Wan
Ping Luo
OOD
106
324
0
16 Jun 2022
Transforming medical imaging with Transformers? A comparative review of
  key properties, current progresses, and future perspectives
Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives
Jun Li
Junyu Chen
Yucheng Tang
Ce Wang
Bennett A. Landman
S. K. Zhou
ViTOODMedIm
175
46
0
02 Jun 2022
The Fully Convolutional Transformer for Medical Image Segmentation
The Fully Convolutional Transformer for Medical Image Segmentation
Athanasios Tragakis
Chaitanya Kaul
Roderick Murray-Smith
D. Husmeier
ViTMedIm
56
63
0
01 Jun 2022
Super Images -- A New 2D Perspective on 3D Medical Imaging Analysis
Super Images -- A New 2D Perspective on 3D Medical Imaging Analysis
I. Sobirov
Numan Saeed
Mohammad Yaqub
MedIm
34
2
0
05 May 2022
Application of belief functions to medical image segmentation: A review
Application of belief functions to medical image segmentation: A review
Ling Huang
S. Ruan
Thierry Denoeux
EDLMedIm
78
31
0
03 May 2022
A survey on attention mechanisms for medical applications: are we moving
  towards better algorithms?
A survey on attention mechanisms for medical applications: are we moving towards better algorithms?
Tiago Gonçalves
Isabel Rio-Torto
Luís F. Teixeira
J. S. Cardoso
OODMedIm
99
41
0
26 Apr 2022
Masked Image Modeling Advances 3D Medical Image Analysis
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
81
74
0
25 Apr 2022
Surface Vision Transformers: Flexible Attention-Based Modelling of
  Biomedical Surfaces
Surface Vision Transformers: Flexible Attention-Based Modelling of Biomedical Surfaces
Simon Dahan
Hao Xu
Logan Z. J. Williams
Abdulah Fawaz
Chunhui Yang
...
A. Edwards
M. Glasser
Alistair Young
Daniel Rueckert
E. C. Robinson
ViTMedIm
72
0
0
07 Apr 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
53
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
MedImViT
83
3
0
04 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
131
72
0
28 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
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
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
ViTMedIm
89
334
0
07 Sep 2021
Deep and Statistical Learning in Biomedical Imaging: State of the Art in
  3D MRI Brain Tumor Segmentation
Deep and Statistical Learning in Biomedical Imaging: State of the Art in 3D MRI Brain Tumor Segmentation
K. R. M. Fernando
Cris P Tsokos
65
54
0
09 Mar 2021
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