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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"

50 / 692 papers shown
HiFormer: Hierarchical Multi-scale Representations Using Transformers
  for Medical Image Segmentation
HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image SegmentationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Moein Heidari
Amirhossein Kazerouni
Milad Soltany Kadarvish
Reza Azad
Ehsan Khodapanah Aghdam
Julien Cohen-Adad
Dorit Merhof
MedImViT
290
290
0
18 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 SegmentationIEEE Transactions on Medical Imaging (IEEE TMI), 2022
Jianwei Lin
Jiatai Lin
Chenghao Lu
Hao Chen
Huan Lin
...
Biao Huang
C. Liang
Guoqiang Han
Zaiyi Liu
Chu Han
MedIm
205
128
0
15 Jul 2022
Brain-Aware Replacements for Supervised Contrastive Learning in
  Detection of Alzheimer's Disease
Brain-Aware Replacements for Supervised Contrastive Learning in Detection of Alzheimer's DiseaseInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Mehmet Saygin Seyfiouglu
Zixuan Liu
Pranav Kamath
Sadjyot Gangolli
Sheng Wang
T. Grabowski
Linda G. Shapiro
MedIm
253
17
0
11 Jul 2022
Radiomics-Guided Global-Local Transformer for Weakly Supervised
  Pathology Localization in Chest X-Rays
Radiomics-Guided Global-Local Transformer for Weakly Supervised Pathology Localization in Chest X-RaysIEEE Transactions on Medical Imaging (IEEE TMI), 2022
Yan Han
G. Holste
Ying Ding
Ahmed H. Tewfik
Yifan Peng
Zinan Lin
LM&MAViT
305
24
0
10 Jul 2022
Swin Deformable Attention U-Net Transformer (SDAUT) for Explainable Fast
  MRI
Swin Deformable Attention U-Net Transformer (SDAUT) for Explainable Fast MRIInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Jiahao Huang
Xiaodan Xing
Zhifan Gao
Guang Yang
ViTMedIm
176
35
0
05 Jul 2022
Transformer based Models for Unsupervised Anomaly Segmentation in Brain
  MR Images
Transformer based Models for Unsupervised Anomaly Segmentation in Brain MR Images
Ahmed Ghorbel
Ahmed Aldahdooh
Shadi Albarqouni
Neuherberg
ViTMedIm
222
10
0
05 Jul 2022
Shifts 2.0: Extending The Dataset of Real Distributional Shifts
Shifts 2.0: Extending The Dataset of Real Distributional Shifts
A. Malinin
A. Athanasopoulos
M. Barakovic
Meritxell Bach Cuadra
Mark Gales
...
Francesco La Rosa
Eli Sivena
V. Tsarsitalidis
Efi Tsompopoulou
E. Volf
OOD
202
36
0
30 Jun 2022
Implicit U-Net for volumetric medical image segmentation
Implicit U-Net for volumetric medical image segmentationAnnual Conference on Medical Image Understanding and Analysis (MIUA), 2022
Jonathan Passerat-Palmbach
G. Tarroni
SSeg
139
4
0
30 Jun 2022
The Lighter The Better: Rethinking Transformers in Medical Image
  Segmentation Through Adaptive Pruning
The Lighter The Better: Rethinking Transformers in Medical Image Segmentation Through Adaptive PruningIEEE Transactions on Medical Imaging (IEEE TMI), 2022
Xian Lin
Li Yu
Kwang-Ting Cheng
Zengqiang Yan
ViTMedIm
258
59
0
29 Jun 2022
BATFormer: Towards Boundary-Aware Lightweight Transformer for Efficient
  Medical Image Segmentation
BATFormer: Towards Boundary-Aware Lightweight Transformer for Efficient Medical Image SegmentationIEEE journal of biomedical and health informatics (IEEE JBHI), 2022
Xian Lin
Li Yu
Kwang-Ting Cheng
Zengqiang Yan
ViTMedIm
317
50
0
29 Jun 2022
Neural Transformers for Intraductal Papillary Mucosal Neoplasms (IPMN)
  Classification in MRI images
Neural Transformers for Intraductal Papillary Mucosal Neoplasms (IPMN) Classification in MRI imagesAnnual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2022
Federica Proietto Salanitri
Giovanni Bellitto
S. Palazzo
Ismail Irmakci
Michael B. Wallace
...
S. Hoogenboom
Marco Aldinucci
Ulas Bagci
D. Giordano
C. Spampinato
ViTMedIm
128
12
0
21 Jun 2022
Deep Active Latent Surfaces for Medical Geometries
Deep Active Latent Surfaces for Medical Geometries
Patrick M. Jensen
Udaranga Wickramasinghe
Anders B. Dahl
Pascal Fua
Vedrana Andersen Dahl
MedIm
225
2
0
21 Jun 2022
SYMBA: Symbolic Computation of Squared Amplitudes in High Energy Physics
  with Machine Learning
SYMBA: Symbolic Computation of Squared Amplitudes in High Energy Physics with Machine Learning
Abdulhakim Alnuqaydan
S. Gleyzer
Harrison B. Prosper
359
21
0
17 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 SegmentationNeural Information Processing Systems (NeurIPS), 2022
Yuanfeng Ji
Haotian Bai
Jie Yang
Chongjian Ge
Ye Zhu
...
Zhuguo Li
Lingyan Zhang
Wanling Ma
Xiang Wan
Ping Luo
OOD
326
443
0
16 Jun 2022
A new method incorporating deep learning with shape priors for left
  ventricular segmentation in myocardial perfusion SPECT images
A new method incorporating deep learning with shape priors for left ventricular segmentation in myocardial perfusion SPECT images
Fubao Zhu
Jinyu Zhao
Chen Zhao
S. Tang
Ji Nan
...
Zhongqiang Zhao
Jianzhou Shi
Zenghong Chen
Zhixin Jiang
Weihua Zhou
236
24
0
07 Jun 2022
EVAC+: Multi-scale V-net with Deep Feature CRF Layers for Brain
  Extraction
EVAC+: Multi-scale V-net with Deep Feature CRF Layers for Brain Extraction
Jong Sung Park
S. Fadnavis
Eleftherios Garyfallidis
269
0
0
06 Jun 2022
mmFormer: Multimodal Medical Transformer for Incomplete Multimodal
  Learning of Brain Tumor Segmentation
mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Yao Zhang
Nanjun He
Jiawei Yang
Yuexiang Li
Dong Wei
Yawen Huang
Yang Zhang
Zhiqiang He
Yefeng Zheng
MedIm
278
202
0
06 Jun 2022
Patcher: Patch Transformers with Mixture of Experts for Precise Medical
  Image Segmentation
Patcher: Patch Transformers with Mixture of Experts for Precise Medical Image SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Yanglan Ou
Ye Yuan
Xiaolei Huang
Stephen T. C. Wong
John Volpi
James Z. Wang
K. Wong
ViTMoEMedIm
274
19
0
03 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
433
143
0
02 Jun 2022
MISSU: 3D Medical Image Segmentation via Self-distilling TransUNet
MISSU: 3D Medical Image Segmentation via Self-distilling TransUNetIEEE Transactions on Medical Imaging (IEEE TMI), 2022
Nan Wang
Shaohui Lin
Xiaoxiao Li
Ke Li
Chunjiang Ge
Yue Gao
Lizhuang Ma
ViTMedIm
225
36
0
02 Jun 2022
Dynamic Linear Transformer for 3D Biomedical Image Segmentation
Dynamic Linear Transformer for 3D Biomedical Image Segmentation
Zheyu Zhang
Ulas Bagci
ViTMedIm
238
16
0
01 Jun 2022
The Fully Convolutional Transformer for Medical Image Segmentation
The Fully Convolutional Transformer for Medical Image SegmentationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Athanasios Tragakis
Chaitanya Kaul
Roderick Murray-Smith
D. Husmeier
ViTMedIm
170
100
0
01 Jun 2022
Memory-efficient Segmentation of High-resolution Volumetric MicroCT
  Images
Memory-efficient Segmentation of High-resolution Volumetric MicroCT ImagesInternational Conference on Medical Imaging with Deep Learning (MIDL), 2022
Yuan Wang
Laura Blackie
I. Miguel-Aliaga
Wenjia Bai
3DV
162
5
0
31 May 2022
Self-supervised 3D anatomy segmentation using self-distilled masked
  image transformer (SMIT)
Self-supervised 3D anatomy segmentation using self-distilled masked image transformer (SMIT)International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Jue Jiang
N. Tyagi
K. Tringale
C. Crane
Harini Veeraraghavan
MedIm
199
54
0
20 May 2022
3DConvCaps: 3DUnet with Convolutional Capsule Encoder for Medical Image
  Segmentation
3DConvCaps: 3DUnet with Convolutional Capsule Encoder for Medical Image SegmentationInternational Conference on Pattern Recognition (ICPR), 2022
Minh-Trieu Tran
Viet-Khoa Vo-Ho
Ngan T. H. Le
3DPCMedIm
329
14
0
19 May 2022
blob loss: instance imbalance aware loss functions for semantic
  segmentation
blob loss: instance imbalance aware loss functions for semantic segmentationInformation Processing in Medical Imaging (IPMI), 2022
Florian Kofler
Antonio Terpin
Ivan Ezhov
Lucas Fidon
Izabela Horvath
...
J. Peeken
Tom Vercauteren
C. Zimmer
Benedikt Wiestler
Bjoern Menze
174
26
0
17 May 2022
Vision Transformer: Vit and its Derivatives
Vision Transformer: Vit and its Derivatives
Zujun Fu
ViT
130
15
0
12 May 2022
Pseudo-Label Guided Multi-Contrast Generalization for Non-Contrast
  Organ-Aware Segmentation
Pseudo-Label Guided Multi-Contrast Generalization for Non-Contrast Organ-Aware Segmentation
Ho Hin Lee
Yucheng Tang
Riqiang Gao
Qi Yang
Xin Yu
Shunxing Bao
J. Terry
J. Carr
Yuankai Huo
Bennett A. Landman
124
2
0
12 May 2022
Automatic segmentation of meniscus based on MAE self-supervision and
  point-line weak supervision paradigm
Automatic segmentation of meniscus based on MAE self-supervision and point-line weak supervision paradigm
Yuhan Xie
Kexin Jiang
Zhiyong Zhang
Shaolong Chen
Xiaodong Zhang
Changzhen Qiu
169
2
0
07 May 2022
Application of belief functions to medical image segmentation: A review
Application of belief functions to medical image segmentation: A reviewInformation Fusion (Inf. Fusion), 2022
Ling Huang
S. Ruan
Thierry Denoeux
EDLMedIm
282
39
0
03 May 2022
Masked Image Modeling Advances 3D Medical Image Analysis
Masked Image Modeling Advances 3D Medical Image AnalysisIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Zekai Chen
Devansh Agarwal
Kshitij Aggarwal
Wiem Safta
Samit Hirawat
V. Sethuraman
Mariann Micsinai Balan
Kevin Brown
255
104
0
25 Apr 2022
Continual Hippocampus Segmentation with Transformers
Continual Hippocampus Segmentation with Transformers
Amin Ranem
Camila González
Anirban Mukhopadhyay
MedImCLL
144
20
0
17 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 VolumeIEEE Transactions on Medical Imaging (IEEE TMI), 2022
Jianye Pang
Cheng Jiang
Yihao Chen
Jianbo Chang
M. Feng
Renzhi Wang
Jianhua Yao
ViTMedIm
175
13
0
14 Apr 2022
Negligible effect of brain MRI data preprocessing for tumor segmentation
Negligible effect of brain MRI data preprocessing for tumor segmentationBiomedical Signal Processing and Control (BSPC), 2022
E. Kondrateva
Polina Druzhinina
A. Dalechina
S. Zolotova
A. Golanov
B. Shirokikh
Mikhail Belyaev
Anvar Kurmukov
261
3
0
11 Apr 2022
Multimodal Multi-Head Convolutional Attention with Various Kernel Sizes
  for Medical Image Super-Resolution
Multimodal Multi-Head Convolutional Attention with Various Kernel Sizes for Medical Image Super-ResolutionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Mariana-Iuliana Georgescu
Radu Tudor Ionescu
A. Miron
O. Savencu
Nicolae-Cătălin Ristea
N. Verga
Fahad Shahbaz Khan
SupR
162
80
0
08 Apr 2022
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
145
32
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01 Apr 2022
Target and Task specific Source-Free Domain Adaptive Image Segmentation
Target and Task specific Source-Free Domain Adaptive Image SegmentationInternational Conference on Medical Imaging with Deep Learning (MIDL), 2022
VS Vibashan
Jeya Maria Jose Valanarasu
Vishal M. Patel
OOD
194
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Transformers Meet Visual Learning Understanding: A Comprehensive Review
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Yuting Yang
Licheng Jiao
Xuantong Liu
Fan Liu
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ViTMedIm
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24 Mar 2022
Stable Optimization for Large Vision Model Based Deep Image Prior in
  Cone-Beam CT Reconstruction
Stable Optimization for Large Vision Model Based Deep Image Prior in Cone-Beam CT ReconstructionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Minghui Wu
Yangdi Xu
Yingying Xu
Guangwei Wu
Qingqing Chen
Hongxiang Lin
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152
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MONAI Label: A framework for AI-assisted Interactive Labeling of 3D
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MONAI Label: A framework for AI-assisted Interactive Labeling of 3D Medical Images
A. Diaz-Pinto
Sachidanand Alle
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Yucheng Tang
Alvin Ihsani
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Daguang Xu
Prerna Dogra
Sebastien Ourselin
Andrew Feng
M. Jorge Cardoso
206
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TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation
  with Transformers
TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with TransformersInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Ding Liu
Yunhe Gao
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Song Wen
Qi Chang
Zhennan Yan
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Dimitris N. Metaxas
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SepTr: Separable Transformer for Audio Spectrogram Processing
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Fahad Shahbaz Khan
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335
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PC-SwinMorph: Patch Representation for Unsupervised Medical Image
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Lihao Liu
Zhening Huang
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Carola-Bibiane Schönlieb
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232
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Self Pre-training with Masked Autoencoders for Medical Image
  Classification and Segmentation
Self Pre-training with Masked Autoencoders for Medical Image Classification and SegmentationIEEE International Symposium on Biomedical Imaging (ISBI), 2022
Lei Zhou
Huidong Liu
Joseph Bae
Junjun He
Dimitris Samaras
Prateek Prasanna
MedImViT
193
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UNeXt: MLP-based Rapid Medical Image Segmentation Network
UNeXt: MLP-based Rapid Medical Image Segmentation NetworkInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Jeya Maria Jose Valanarasu
Vishal M. Patel
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255
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PHTrans: Parallelly Aggregating Global and Local Representations for
  Medical Image Segmentation
PHTrans: Parallelly Aggregating Global and Local Representations for Medical Image SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Wentao Liu
Tong Tian
Weijing Xu
Huihua Yang
Xipeng Pan
Songlin Yan
Lemeng Wang
ViTMedIm
180
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Deep-ASPECTS: A Segmentation-Assisted Model for Stroke Severity
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Ujjwal Upadhyay
Mukul Ranjan
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Preetham Sreenivas
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J. Tarpley
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Characterizing Renal Structures with 3D Block Aggregate Transformers
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Yucheng Tang
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Zhoubing Xu
Thomas A. Lasko
R. Abramson
Bennett A. Landman
MedImViT
164
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MixCL: Pixel label matters to contrastive learning
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Quan Quan
S. Kevin Zhou
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Universal Segmentation of 33 Anatomies
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Peng Liu
Yang Deng
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