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UNETR: Transformers for 3D Medical Image Segmentation
v1v2v3 (latest)

UNETR: Transformers for 3D Medical Image Segmentation

IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
18 March 2021
Ali Hatamizadeh
Yucheng Tang
Vishwesh Nath
Dong Yang
Andriy Myronenko
Bennett Landman
H. Roth
Daguang Xu
    ViTMedIm
ArXiv (abs)PDFHTML

Papers citing "UNETR: Transformers for 3D Medical Image Segmentation"

42 / 692 papers shown
Recent Advances in Vision Transformer: A Survey and Outlook of Recent
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Recent Advances in Vision Transformer: A Survey and Outlook of Recent Work
Khawar Islam
ViT
478
66
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
200
105
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
702
96
0
28 Feb 2022
Diffeomorphic Image Registration with Neural Velocity Field
Diffeomorphic Image Registration with Neural Velocity FieldIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Kun Han
Shanlin Sun
Xiangyi Yan
Chenyu You
Hao Tang
Junayed Naushad
Haoyu Ma
Deying Kong
Xiaohui Xie
MedIm
488
31
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
241
47
0
24 Feb 2022
Transformers in Medical Image Analysis: A Review
Transformers in Medical Image Analysis: A ReviewIntelligent Medicine (IM), 2022
Kelei He
Chen Gan
Zhuoyuan Li
I. Rekik
Zihao Yin
Wen Ji
Yang Gao
Qian Wang
Junfeng Zhang
Dinggang Shen
ViTMedIm
348
356
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
ViTMedIm
233
38
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
322
958
0
24 Jan 2022
Improving Across-Dataset Brain Tissue Segmentation Using Transformer
Improving Across-Dataset Brain Tissue Segmentation Using TransformerFrontiers in Neuroimaging (FN), 2022
Vishwanatha M. Rao
Zihang Wan
Soroush Arabshahi
David J. Ma
Pin-Yu Lee
Ye Tian
Xuzhe Zhang
Andrew F. Laine
Jia Guo
ViTMedIm
180
17
0
21 Jan 2022
SegTransVAE: Hybrid CNN -- Transformer with Regularization for medical
  image segmentation
SegTransVAE: Hybrid CNN -- Transformer with Regularization for medical image segmentationIEEE International Symposium on Biomedical Imaging (ISBI), 2022
Quan-Dung Pham
Hai Nguyen-Truong
N. N. Phuong
Khoa N. A. Nguyen
ViTMedIm
96
32
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?International Conference on Medical Imaging with Deep Learning (MIDL), 2022
I. Sobirov
Otabek Nazarov
Hussain Alasmawi
Mohammad Yaqub
ViTMedIm
139
12
0
17 Jan 2022
ViTBIS: Vision Transformer for Biomedical Image Segmentation
ViTBIS: Vision Transformer for Biomedical Image Segmentation
Abhinav Sagar
ViTMedIm
193
23
0
15 Jan 2022
Advancing 3D Medical Image Analysis with Variable Dimension Transform
  based Supervised 3D Pre-training
Advancing 3D Medical Image Analysis with Variable Dimension Transform based Supervised 3D Pre-trainingNeurocomputing (Neurocomputing), 2022
Shu Zhen Zhang
Zihao Li
Hong-Yu Zhou
Jiechao Ma
Yizhou Yu
177
14
0
05 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
455
1,745
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
231
155
0
03 Jan 2022
iSegFormer: Interactive Segmentation via Transformers with Application
  to 3D Knee MR Images
iSegFormer: Interactive Segmentation via Transformers with Application to 3D Knee MR ImagesInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021
Qin Liu
Zhenlin Xu
Yining Jiao
Marc Niethammer
ViTMedIm
359
50
0
21 Dec 2021
Incremental Cross-view Mutual Distillation for Self-supervised Medical
  CT Synthesis
Incremental Cross-view Mutual Distillation for Self-supervised Medical CT SynthesisComputer Vision and Pattern Recognition (CVPR), 2021
Chaowei Fang
Liang Wang
Dingwen Zhang
Jun Xu
Yixuan Yuan
Junwei Han
OOD
260
19
0
20 Dec 2021
UniMiSS: Universal Medical Self-Supervised Learning via Breaking
  Dimensionality Barrier
UniMiSS: Universal Medical Self-Supervised Learning via Breaking Dimensionality Barrier
Yutong Xie
Jianpeng Zhang
Yong-quan Xia
Qi Wu
MedIm
576
80
0
17 Dec 2021
Hypernet-Ensemble Learning of Segmentation Probability for Medical Image
  Segmentation with Ambiguous Labels
Hypernet-Ensemble Learning of Segmentation Probability for Medical Image Segmentation with Ambiguous Labels
Sun-Beom Hong
A. Bonkhoff
Andrew Hoopes
Martin Bretzner
M. Schirmer
A. Giese
Adrian Dalca
Polina Golland
N. Rost
UQCV
201
8
0
13 Dec 2021
Semi-Supervised Medical Image Segmentation via Cross Teaching between
  CNN and Transformer
Semi-Supervised Medical Image Segmentation via Cross Teaching between CNN and Transformer
Xiangde Luo
Minhao Hu
Tao Song
Guotai Wang
Shaoting Zhang
ViTMedIm
193
286
0
09 Dec 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
ViTMedIm
374
724
0
29 Nov 2021
A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation
A Robust Volumetric Transformer for Accurate 3D Tumor SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021
Himashi Peiris
Munawar Hayat
Zhaolin Chen
Gary Egan
Mehrtash Harandi
ViTMedIm
207
183
0
26 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
653
113
0
07 Nov 2021
Hepatic vessel segmentation based on 3D swin-transformer with inductive
  biased multi-head self-attention
Hepatic vessel segmentation based on 3D swin-transformer with inductive biased multi-head self-attentionBMC Medical Imaging (BMC Med Imaging), 2021
Mian Wu
Yinling Qian
Xiangyun Liao
Qiong Wang
Pheng-Ann Heng
MedIm
228
43
0
05 Nov 2021
WORD: A large scale dataset, benchmark and clinical applicable study for
  abdominal organ segmentation from CT image
WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image
Xiangde Luo
Wenjun Liao
Jianghong Xiao
Jieneng Chen
Tao Song
Xiaofan Zhang
Kang Li
Dimitris N. Metaxas
Guotai Wang
Shaoting Zhang
345
167
0
03 Nov 2021
AFTer-UNet: Axial Fusion Transformer UNet for Medical Image Segmentation
AFTer-UNet: Axial Fusion Transformer UNet for Medical Image SegmentationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
Xiangyi Yan
Hao Tang
Shanlin Sun
Haoyu Ma
Deying Kong
Xiaohui Xie
ViTMedIm
214
149
0
20 Oct 2021
CyTran: A Cycle-Consistent Transformer with Multi-Level Consistency for
  Non-Contrast to Contrast CT Translation
CyTran: A Cycle-Consistent Transformer with Multi-Level Consistency for Non-Contrast to Contrast CT Translation
Nicolae-Cătălin Ristea
A. Miron
O. Savencu
Mariana-Iuliana Georgescu
N. Verga
Fahad Shahbaz Khan
Radu Tudor Ionescu
ViTMedIm
490
30
0
12 Oct 2021
Optimized U-Net for Brain Tumor Segmentation
Optimized U-Net for Brain Tumor Segmentation
Michal Futrega
Alexandre Milesi
Michal Marcinkiewicz
Pablo Ribalta
SSeg
199
127
0
07 Oct 2021
BiTr-Unet: a CNN-Transformer Combined Network for MRI Brain Tumor
  Segmentation
BiTr-Unet: a CNN-Transformer Combined Network for MRI Brain Tumor Segmentation
Qiran Jia
Hai Shu
ViTMedIm
236
99
0
25 Sep 2021
MISSFormer: An Effective Medical Image Segmentation Transformer
MISSFormer: An Effective Medical Image Segmentation Transformer
Xiaohong Huang
Zhifang Deng
Dandan Li
Xueguang Yuan
ViTMedIm
331
256
0
15 Sep 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 TransformerAAAI Conference on Artificial Intelligence (AAAI), 2021
Haonan Wang
Peng Cao
Yuan Liu
Osmar R. Zaiane
MedImViT
408
1,014
0
09 Sep 2021
Axial multi-layer perceptron architecture for automatic segmentation of
  choroid plexus in multiple sclerosis
Axial multi-layer perceptron architecture for automatic segmentation of choroid plexus in multiple sclerosisbioRxiv (bioRxiv), 2021
Marius Schmidt-Mengin
Vito A G Ricigliano
B. Bodini
E. Morena
A. Colombi
Mariem Hamzaoui
Arya Yazdan Panah
B. Stankoff
O. Colliot
81
15
0
08 Sep 2021
nnFormer: Interleaved Transformer for Volumetric Segmentation
nnFormer: Interleaved Transformer for Volumetric SegmentationIEEE Transactions on Image Processing (TIP), 2021
Hong-Yu Zhou
J. Guo
Yinghao Zhang
Lequan Yu
Liansheng Wang
Yizhou Yu
ViTMedIm
519
531
0
07 Sep 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
MedImViT
209
118
0
12 Jul 2021
More than Encoder: Introducing Transformer Decoder to Upsample
More than Encoder: Introducing Transformer Decoder to UpsampleIEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021
Yijiang Li
Wentian Cai
Ying Gao
Chengming Li
Xiping Hu
ViTMedIm
248
75
0
20 Jun 2021
Semantic-Aware Contrastive Learning for Multi-object Medical Image
  Segmentation
Semantic-Aware Contrastive Learning for Multi-object Medical Image SegmentationIEEE journal of biomedical and health informatics (JBHI), 2021
Ho Hin Lee
Yucheng Tang
Qi Yang
Xin Yu
Shunxing Bao
L. Cai
Lucas W. Remedios
Bennett A. Landman
Yuankai Huo
205
9
0
03 Jun 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
436
803
0
27 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
ViTMedIm
383
4,196
0
12 May 2021
TransMed: Transformers Advance Multi-modal Medical Image Classification
TransMed: Transformers Advance Multi-modal Medical Image Classification
Yin Dai
Yifan Gao
ViTMedIm
225
381
0
10 Mar 2021
GaNDLF: A Generally Nuanced Deep Learning Framework for Scalable
  End-to-End Clinical Workflows in Medical Imaging
GaNDLF: A Generally Nuanced Deep Learning Framework for Scalable End-to-End Clinical Workflows in Medical ImagingCommunications Engineer (CE), 2021
Sarthak Pati
Siddhesh P. Thakur
İbrahim Ethem Hamamcı
Ujjwal Baid
Bhakti Baheti
...
D. Kontos
Alexandros Karargyris
Renato Umeton
Peter Mattson
Spyridon Bakas
LM&MAMedIm
271
56
0
26 Feb 2021
Curriculum Learning: A Survey
Curriculum Learning: A SurveyInternational Journal of Computer Vision (IJCV), 2021
Petru Soviany
Radu Tudor Ionescu
Paolo Rota
Andrii Zadaianchuk
ODL
584
482
0
25 Jan 2021
Generalisable 3D Fabric Architecture for Streamlined Universal
  Multi-Dataset Medical Image Segmentation
Generalisable 3D Fabric Architecture for Streamlined Universal Multi-Dataset Medical Image Segmentation
Siyu Liu
Weiqun Dai
Craig B. Engstrom
Jurgen Fripp
Stuart Crozier
Jason Dowling
Shekhar S. Chandra
340
0
0
28 Jun 2020
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