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nnFormer: Interleaved Transformer for Volumetric Segmentation

nnFormer: Interleaved Transformer for Volumetric Segmentation

7 September 2021
Hong-Yu Zhou
J. Guo
Yinghao Zhang
Lequan Yu
Liansheng Wang
Yizhou Yu
    ViT
    MedIm
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Papers citing "nnFormer: Interleaved Transformer for Volumetric Segmentation"

45 / 45 papers shown
Title
IntelliCardiac: An Intelligent Platform for Cardiac Image Segmentation and Classification
IntelliCardiac: An Intelligent Platform for Cardiac Image Segmentation and Classification
Ting Yu Tsai
An Yu
Meghana Spurthi Maadugundu
Ishrat Jahan Mohima
Umme Habiba Barsha
Mei-Hwa F. Chen
Balakrishnan Prabhakaran
Ming-Ching Chang
55
0
0
05 May 2025
Longitudinal Assessment of Lung Lesion Burden in CT
Longitudinal Assessment of Lung Lesion Burden in CT
T. Mathai
Benjamin Hou
Ronald M. Summers
91
0
0
09 Apr 2025
Leveraging Anatomical Priors for Automated Pancreas Segmentation on Abdominal CT
Leveraging Anatomical Priors for Automated Pancreas Segmentation on Abdominal CT
Anisa V. Prasad
T. Mathai
P. Mukherjee
Jianfei Liu
Ronald M. Summers
SSeg
66
1
0
09 Apr 2025
Autoregressive Sequence Modeling for 3D Medical Image Representation
Autoregressive Sequence Modeling for 3D Medical Image Representation
Siwen Wang
Churan Wang
Fei Gao
Lixian Su
Fandong Zhang
Yizhou Wang
Yizhou Yu
MedIm
68
1
0
13 Sep 2024
SMAFormer: Synergistic Multi-Attention Transformer for Medical Image Segmentation
SMAFormer: Synergistic Multi-Attention Transformer for Medical Image Segmentation
Fuchen Zheng
Xuhang Chen
Weihuang Liu
Haolun Li
Yingtie Lei
Jiahui He
Chi-Man Pun
Shounjun Zhou
MedIm
80
13
0
31 Aug 2024
MOSformer: Momentum encoder-based inter-slice fusion transformer for medical image segmentation
MOSformer: Momentum encoder-based inter-slice fusion transformer for medical image segmentation
De-Xing Huang
Xiao-Hu Zhou
Xiaoliang Xie
Shiqi Liu
Zhen-Qiu Feng
Mei-Jiang Gui
Hao Li
Tian-Yu Xiang
MedIm
59
1
0
22 Jan 2024
One Model to Rule them All: Towards Universal Segmentation for Medical Images with Text Prompts
One Model to Rule them All: Towards Universal Segmentation for Medical Images with Text Prompts
Ziheng Zhao
Yao Zhang
Chaoyi Wu
Xiaoman Zhang
Ya Zhang
Yanfeng Wang
Weidi Xie
VLM
MedIm
76
37
0
28 Dec 2023
PCRLv2: A Unified Visual Information Preservation Framework for
  Self-supervised Pre-training in Medical Image Analysis
PCRLv2: A Unified Visual Information Preservation Framework for Self-supervised Pre-training in Medical Image Analysis
Hong-Yu Zhou
Chi-Ken Lu
Chaoqi Chen
Sibei Yang
Yizhou Yu
65
52
0
02 Jan 2023
Cross-Modality Deep Feature Learning for Brain Tumor Segmentation
Cross-Modality Deep Feature Learning for Brain Tumor Segmentation
Dingwen Zhang
Guohai Huang
Qiang Zhang
Jungong Han
Junwei Han
Yizhou Yu
43
217
0
07 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
ViT
MedIm
100
1,093
0
04 Jan 2022
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
90
524
0
29 Nov 2021
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
378
7,600
0
11 Nov 2021
Generalized Radiograph Representation Learning via Cross-supervision
  between Images and Free-text Radiology Reports
Generalized Radiograph Representation Learning via Cross-supervision between Images and Free-text Radiology Reports
Hong-Yu Zhou
X. Chen
Y. Zhang
R. Luo
L. Wang
Y. Yu
MedIm
55
108
0
04 Nov 2021
MISSFormer: An Effective Medical Image Segmentation Transformer
MISSFormer: An Effective Medical Image Segmentation Transformer
Xiaohong Huang
Zhifang Deng
Dandan Li
Xueguang Yuan
ViT
MedIm
125
180
0
15 Sep 2021
ConvNets vs. Transformers: Whose Visual Representations are More
  Transferable?
ConvNets vs. Transformers: Whose Visual Representations are More Transferable?
Hong-Yu Zhou
Chi-Ken Lu
Sibei Yang
Yizhou Yu
ViT
49
54
0
11 Aug 2021
LeViT-UNet: Make Faster Encoders with Transformer for Medical Image
  Segmentation
LeViT-UNet: Make Faster Encoders with Transformer for Medical Image Segmentation
Guoping Xu
Xingrong Wu
Xuan Zhang
Xinwei He
ViT
MedIm
46
197
0
19 Jul 2021
TransAttUnet: Multi-level Attention-guided U-Net with Transformer for
  Medical Image Segmentation
TransAttUnet: Multi-level Attention-guided U-Net with Transformer for Medical Image Segmentation
Bingzhi Chen
Yishu Liu
Zheng Zhang
Guangming Lu
A. W. Kong
MedIm
ViT
128
214
0
12 Jul 2021
TransClaw U-Net: Claw U-Net with Transformers for Medical Image
  Segmentation
TransClaw U-Net: Claw U-Net with Transformers for Medical Image Segmentation
Yao Chang
Menghan Hu
Zhai Guangtao
Xiao-Ping Zhang
MedIm
ViT
86
97
0
12 Jul 2021
More than Encoder: Introducing Transformer Decoder to Upsample
More than Encoder: Introducing Transformer Decoder to Upsample
Yijiang Li
Wentian Cai
Ying Gao
Chengming Li
Xiping Hu
ViT
MedIm
49
52
0
20 Jun 2021
DS-TransUNet:Dual Swin Transformer U-Net for Medical Image Segmentation
DS-TransUNet:Dual Swin Transformer U-Net for Medical Image Segmentation
Ai-Jun Lin
Bingzhi Chen
Jiayu Xu
Zheng Zhang
Guangming Lu
ViT
MedIm
49
616
0
12 Jun 2021
The Medical Segmentation Decathlon
The Medical Segmentation Decathlon
Michela Antonelli
Annika Reinke
Spyridon Bakas
Keyvan Farahani
AnnetteKopp-Schneider
...
Zhanwei Xu
Yefeng Zheng
Amber L. Simpson
Lena Maier-Hein
M. Jorge Cardoso
OOD
88
974
0
10 Jun 2021
Medical Image Segmentation Using Squeeze-and-Expansion Transformers
Medical Image Segmentation Using Squeeze-and-Expansion Transformers
Shaohua Li
Xiuchao Sui
Xiangde Luo
Xinxing Xu
Yong Liu
Rick Siow Mong Goh
ViT
MedIm
44
167
0
20 May 2021
Are Convolutional Neural Networks or Transformers more like human
  vision?
Are Convolutional Neural Networks or Transformers more like human vision?
Shikhar Tuli
Ishita Dasgupta
Erin Grant
Thomas Griffiths
ViT
FaML
43
185
0
15 May 2021
Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation
Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation
Hu Cao
Yueyue Wang
Jieneng Chen
Dongsheng Jiang
Xiaopeng Zhang
Qi Tian
Manning Wang
ViT
MedIm
78
2,845
0
12 May 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
B. Guo
ViT
356
21,175
0
25 Mar 2021
UNETR: Transformers for 3D Medical Image Segmentation
UNETR: Transformers for 3D Medical Image Segmentation
Ali Hatamizadeh
Yucheng Tang
Vishwesh Nath
Dong Yang
Andriy Myronenko
Bennett Landman
H. Roth
Daguang Xu
ViT
MedIm
145
1,567
0
18 Mar 2021
TransBTS: Multimodal Brain Tumor Segmentation Using Transformer
TransBTS: Multimodal Brain Tumor Segmentation Using Transformer
Wenxuan Wang
Chen Chen
Meng Ding
Jiangyun Li
Hong Yu
Sen Zha
ViT
MedIm
62
713
0
07 Mar 2021
SpecTr: Spectral Transformer for Hyperspectral Pathology Image
  Segmentation
SpecTr: Spectral Transformer for Hyperspectral Pathology Image Segmentation
Boxiang Yun
Yan Wang
Jieneng Chen
Huiyu Wang
Wei Shen
Qingli Li
ViT
MedIm
66
49
0
05 Mar 2021
CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image
  Segmentation
CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation
Yutong Xie
Jianpeng Zhang
Chunhua Shen
Yong-quan Xia
ViT
MedIm
66
496
0
04 Mar 2021
Convolution-Free Medical Image Segmentation using Transformers
Convolution-Free Medical Image Segmentation using Transformers
Davood Karimi
Serge Vasylechko
Ali Gholipour
ViT
MedIm
109
121
0
26 Feb 2021
Medical Transformer: Gated Axial-Attention for Medical Image
  Segmentation
Medical Transformer: Gated Axial-Attention for Medical Image Segmentation
Jeya Maria Jose Valanarasu
Poojan Oza
Ilker Hacihaliloglu
Vishal M. Patel
ViT
MedIm
84
979
0
21 Feb 2021
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation
Yundong Zhang
Huiye Liu
Qiang Hu
ViT
MedIm
233
907
0
16 Feb 2021
TransUNet: Transformers Make Strong Encoders for Medical Image
  Segmentation
TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation
Jieneng Chen
Yongyi Lu
Qihang Yu
Xiangde Luo
Ehsan Adeli
Yan Wang
Le Lu
Alan Yuille
Yuyin Zhou
ViT
MedIm
83
3,424
0
08 Feb 2021
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective
  with Transformers
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
Sixiao Zheng
Jiachen Lu
Hengshuang Zhao
Xiatian Zhu
Zekun Luo
...
Yanwei Fu
Jianfeng Feng
Tao Xiang
Philip Torr
Li Zhang
ViT
141
2,872
0
31 Dec 2020
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
427
40,217
0
22 Oct 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
314
12,906
0
26 May 2020
Receptive Field Block Net for Accurate and Fast Object Detection
Receptive Field Block Net for Accurate and Fast Object Detection
Songtao Liu
Di Huang
Yunhong Wang
ObjD
58
1,259
0
21 Nov 2017
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
506
129,831
0
12 Jun 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
79
1,789
0
15 Jan 2017
Layer Normalization
Layer Normalization
Jimmy Lei Ba
J. Kiros
Geoffrey E. Hinton
296
10,412
0
21 Jul 2016
Gaussian Error Linear Units (GELUs)
Gaussian Error Linear Units (GELUs)
Dan Hendrycks
Kevin Gimpel
161
4,958
0
27 Jun 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets,
  Atrous Convolution, and Fully Connected CRFs
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
196
18,136
0
02 Jun 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.6K
192,638
0
10 Dec 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.3K
76,547
0
18 May 2015
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
356
43,511
0
17 Sep 2014
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