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TransUNet: Transformers Make Strong Encoders for Medical Image
  Segmentation

TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

8 February 2021
Jieneng Chen
Yongyi Lu
Qihang Yu
Xiangde Luo
Ehsan Adeli
Yan Wang
Le Lu
Alan Yuille
Yuyin Zhou
    ViTMedIm
ArXiv (abs)PDFHTMLGithub (2787★)

Papers citing "TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation"

50 / 1,040 papers shown
Title
Learning Multi-axis Representation in Frequency Domain for Medical Image
  Segmentation
Learning Multi-axis Representation in Frequency Domain for Medical Image Segmentation
Jiacheng Ruan
Jingsheng Gao
Mingye Xie
Suncheng Xiang
62
2
0
28 Dec 2023
MGAug: Multimodal Geometric Augmentation in Latent Spaces of Image Deformations
MGAug: Multimodal Geometric Augmentation in Latent Spaces of Image Deformations
Tonmoy Hossain
Miaomiao Zhang
142
3
0
20 Dec 2023
MCANet: Medical Image Segmentation with Multi-Scale Cross-Axis Attention
MCANet: Medical Image Segmentation with Multi-Scale Cross-Axis Attention
Hao Shao
Quansheng Zeng
Qibin Hou
Jufeng Yang
146
14
0
14 Dec 2023
PnPNet: Pull-and-Push Networks for Volumetric Segmentation with Boundary
  Confusion
PnPNet: Pull-and-Push Networks for Volumetric Segmentation with Boundary Confusion
Xin You
Ming Ding
Minghui Zhang
Hanxiao Zhang
Yi Yu
Jie Yang
Yun Gu
126
2
0
13 Dec 2023
TABSurfer: a Hybrid Deep Learning Architecture for Subcortical
  Segmentation
TABSurfer: a Hybrid Deep Learning Architecture for Subcortical Segmentation
Aaron Cao
Vishwanatha M. Rao
Kejia Liu
Xinru Liu
Andrew F. Laine
Jia Guo
MedIm
75
1
0
13 Dec 2023
U-MixFormer: UNet-like Transformer with Mix-Attention for Efficient
  Semantic Segmentation
U-MixFormer: UNet-like Transformer with Mix-Attention for Efficient Semantic Segmentation
Seul-Ki Yeom
Julian von Klitzing
ViT
78
8
0
11 Dec 2023
Disentangled Representation Learning for Controllable Person Image
  Generation
Disentangled Representation Learning for Controllable Person Image Generation
Wenju Xu
Chengjiang Long
Yongwei Nie
Guanghui Wang
DRL
78
3
0
10 Dec 2023
Loss Functions in the Era of Semantic Segmentation: A Survey and Outlook
Loss Functions in the Era of Semantic Segmentation: A Survey and Outlook
Reza Azad
Moein Heidary
Kadir Yilmaz
Michael Huttemann
Sanaz Karimijafarbigloo
Yuli Wu
Anke Schmeink
Dorit Merhof
VLMSSeg
125
24
0
08 Dec 2023
gcDLSeg: Integrating Graph-cut into Deep Learning for Binary Semantic
  Segmentation
gcDLSeg: Integrating Graph-cut into Deep Learning for Binary Semantic Segmentation
Hui Xie
Weiyu Xu
Ya Xing Wang
John Buatti
Xiaodong Wu
SSeg
56
1
0
07 Dec 2023
AI-SAM: Automatic and Interactive Segment Anything Model
AI-SAM: Automatic and Interactive Segment Anything Model
Yimu Pan
Sitao Zhang
Alison D. Gernand
Jeffery A. Goldstein
J. Z. Wang
VLM
62
4
0
05 Dec 2023
Graph Information Bottleneck for Remote Sensing Segmentation
Graph Information Bottleneck for Remote Sensing Segmentation
Yuntao Shou
Wei Ai
Tao Meng
SSL
55
25
0
05 Dec 2023
Inspecting Model Fairness in Ultrasound Segmentation Tasks
Inspecting Model Fairness in Ultrasound Segmentation Tasks
Zikang Xu
Fenghe Tang
Quan Quan
Jianrui Ding
C. Ning
S. Kevin Zhou
67
0
0
05 Dec 2023
SRSNetwork: Siamese Reconstruction-Segmentation Networks based on
  Dynamic-Parameter Convolution
SRSNetwork: Siamese Reconstruction-Segmentation Networks based on Dynamic-Parameter Convolution
Bingkun Nian
Fenghe Tang
Jianrui Ding
Pingping Zhang
Jie Yang
S.Kevin Zhou
Wei Liu
66
1
0
04 Dec 2023
MobileUtr: Revisiting the relationship between light-weight CNN and
  Transformer for efficient medical image segmentation
MobileUtr: Revisiting the relationship between light-weight CNN and Transformer for efficient medical image segmentation
Fenghe Tang
Bingkun Nian
Jianrui Ding
Quan Quan
Jie Yang
Wei Liu
S.Kevin Zhou
ViTMedIm
105
3
0
04 Dec 2023
Motion Informed Needle Segmentation in Ultrasound Images
Motion Informed Needle Segmentation in Ultrasound Images
Raghavv Goel
Cecilia G. Morales
Manpreet Singh
Artur Dubrawski
J. Galeotti
Howie Choset
46
0
0
02 Dec 2023
Adaptive Correspondence Scoring for Unsupervised Medical Image
  Registration
Adaptive Correspondence Scoring for Unsupervised Medical Image Registration
Xiaoran Zhang
J. Stendahl
Lawrence H. Staib
Albert J Sinusas
Alex Wong
James S. Duncan
OOD
72
2
0
01 Dec 2023
Full-resolution MLPs Empower Medical Dense Prediction
Full-resolution MLPs Empower Medical Dense Prediction
Mingyuan Meng
Yuxin Xue
Da-wei Feng
Lei Bi
Jinman Kim
MedIm
66
4
0
28 Nov 2023
I-MedSAM: Implicit Medical Image Segmentation with Segment Anything
I-MedSAM: Implicit Medical Image Segmentation with Segment Anything
Xiaobao Wei
Jiajun Cao
Yizhu Jin
Ming Lu
Guangyu Wang
Shanghang Zhang
VLM
103
12
0
28 Nov 2023
Automated Measurement of Vascular Calcification in Femoral
  Endarterectomy Patients Using Deep Learning
Automated Measurement of Vascular Calcification in Femoral Endarterectomy Patients Using Deep Learning
Alireza Bagheri Rajeoni
Breanna Pederson
Daniel G. Clair
S. Lessner
H. Valafar
49
6
0
27 Nov 2023
Only Positive Cases: 5-fold High-order Attention Interaction Model for
  Skin Segmentation Derived Classification
Only Positive Cases: 5-fold High-order Attention Interaction Model for Skin Segmentation Derived Classification
Renkai Wu
Yinghao Liu
Pengchen Liang
Qing Chang
71
1
0
27 Nov 2023
Spectro-ViT: A Vision Transformer Model for GABA-edited MRS
  Reconstruction Using Spectrograms
Spectro-ViT: A Vision Transformer Model for GABA-edited MRS Reconstruction Using Spectrograms
G. Dias
R. Berto
Mateus Oliveira
Lucas Ueda
S. Dertkigil
Paula D. P. Costa
Amirmohammad Shamaei
Roberto Souza
Ashley D. Harris
Letícia Rittner
60
0
0
26 Nov 2023
ChAda-ViT : Channel Adaptive Attention for Joint Representation Learning
  of Heterogeneous Microscopy Images
ChAda-ViT : Channel Adaptive Attention for Joint Representation Learning of Heterogeneous Microscopy Images
Nicolas Bourriez
Ihab Bendidi
Ethan O. Cohen
Gabriel Watkinson
Maxime Sanchez
Guillaume Bollot
Auguste Genovesio
MedIm
58
12
0
26 Nov 2023
Deep Learning for Vascular Segmentation and Applications in Phase
  Contrast Tomography Imaging
Deep Learning for Vascular Segmentation and Applications in Phase Contrast Tomography Imaging
Ekin Yagis
S. Aslani
Yashvardhan Jain
Yang Zhou
Shahrokh Rahmani
...
M. Ackermann
D. Jonigk
Paul Tafforeau
Peter D Lee
Claire L. Walsh
77
4
0
22 Nov 2023
Alpha Zero for Physics: Application of Symbolic Regression with Alpha
  Zero to find the analytical methods in physics
Alpha Zero for Physics: Application of Symbolic Regression with Alpha Zero to find the analytical methods in physics
Yoshihiro Michishita
AI4CE
85
2
0
21 Nov 2023
GMISeg: General Medical Image Segmentation without Re-Training
GMISeg: General Medical Image Segmentation without Re-Training
Jing Xu
VLM
76
2
0
21 Nov 2023
Shape-Sensitive Loss for Catheter and Guidewire Segmentation
Shape-Sensitive Loss for Catheter and Guidewire Segmentation
Chayun Kongtongvattana
Baoru Huang
Jingxuan Kang
Hoan Nguyen
Olajide Olufemi
Anh Nguyen
MedIm
44
4
0
19 Nov 2023
On the Out of Distribution Robustness of Foundation Models in Medical
  Image Segmentation
On the Out of Distribution Robustness of Foundation Models in Medical Image Segmentation
D. M. Nguyen
Tan Ngoc Pham
Nghiem Tuong Diep
Nghi Quoc Phan
Quang Pham
...
Ngan Hoang Le
Nhat Ho
Pengtao Xie
Daniel Sonntag
Mathias Niepert
VLMUQCVOOD
80
7
0
18 Nov 2023
Versatile Medical Image Segmentation Learned from Multi-Source Datasets
  via Model Self-Disambiguation
Versatile Medical Image Segmentation Learned from Multi-Source Datasets via Model Self-Disambiguation
Xiaoyang Chen
Hao Zheng
Yuemeng Li
Yuncong Ma
Liang Ma
Hongming Li
Yong-Xian Fan
78
7
0
17 Nov 2023
Pseudo Label-Guided Data Fusion and Output Consistency for
  Semi-Supervised Medical Image Segmentation
Pseudo Label-Guided Data Fusion and Output Consistency for Semi-Supervised Medical Image Segmentation
Tao Wang
Yuanbin Chen
Xinlin Zhang
Yuanbo Zhou
Junlin Lan
Bizhe Bai
Tao Tan
Min Du
Qinquan Gao
Tong Tong
52
0
0
17 Nov 2023
TransONet: Automatic Segmentation of Vasculature in Computed Tomographic
  Angiograms Using Deep Learning
TransONet: Automatic Segmentation of Vasculature in Computed Tomographic Angiograms Using Deep Learning
Alireza Bagheri Rajeoni
Breanna Pederson
Ali Firooz
Hamed Abdollahi
Andrew K. Smith
Daniel G. Clair
S. Lessner
H. Valafar
57
0
0
17 Nov 2023
Overcoming Data Scarcity in Biomedical Imaging with a Foundational
  Multi-Task Model
Overcoming Data Scarcity in Biomedical Imaging with a Foundational Multi-Task Model
Raphael Schäfer
Till Nicke
Henning Höfener
Annkristin Lange
Dorit Merhof
Friedrich Feuerhake
Volkmar Schulz
Johannes Lotz
Fabian Kiessling
VLM
56
23
0
16 Nov 2023
DECDM: Document Enhancement using Cycle-Consistent Diffusion Models
DECDM: Document Enhancement using Cycle-Consistent Diffusion Models
Jiaxin Zhang
Joy Rimchala
Lalla Mouatadid
Kamalika Das
Kumar Sricharan
DiffM
65
1
0
16 Nov 2023
SAMIHS: Adaptation of Segment Anything Model for Intracranial Hemorrhage
  Segmentation
SAMIHS: Adaptation of Segment Anything Model for Intracranial Hemorrhage Segmentation
Yinuo Wang
Kai Chen
Weimin Yuan
Cai Meng
XiangZhi Bai
VLM
75
11
0
14 Nov 2023
An Automated Pipeline for Tumour-Infiltrating Lymphocyte Scoring in
  Breast Cancer
An Automated Pipeline for Tumour-Infiltrating Lymphocyte Scoring in Breast Cancer
A. Shephard
Mostafa Jahanifar
Ruoyu Wang
Muhammad Dawood
Simon Graham
K. Sidlauskas
S. Khurram
Nasir M. Rajpoot
S. Raza
50
4
0
10 Nov 2023
Enhancing Rock Image Segmentation in Digital Rock Physics: A Fusion of
  Generative AI and State-of-the-Art Neural Networks
Enhancing Rock Image Segmentation in Digital Rock Physics: A Fusion of Generative AI and State-of-the-Art Neural Networks
Zhaoyang Ma
Xupeng He
Hyung Kwak
Jun Gao
Shuyu Sun
Bicheng Yan
AI4CE
81
5
0
10 Nov 2023
Learning Contrastive Self-Distillation for Ultra-Fine-Grained Visual
  Categorization Targeting Limited Samples
Learning Contrastive Self-Distillation for Ultra-Fine-Grained Visual Categorization Targeting Limited Samples
Ziye Fang
Xin Jiang
Hao Tang
Zechao Li
92
14
0
10 Nov 2023
Retinal OCT Synthesis with Denoising Diffusion Probabilistic Models for
  Layer Segmentation
Retinal OCT Synthesis with Denoising Diffusion Probabilistic Models for Layer Segmentation
Yuli Wu
Weidong He
Dennis Eschweiler
Ningxin Dou
Zixin Fan
Shengli Mi
Peter Walter
Johannes Stegmaier
MedImDiffM
87
3
0
09 Nov 2023
Transformer-based Model for Oral Epithelial Dysplasia Segmentation
Transformer-based Model for Oral Epithelial Dysplasia Segmentation
A. Shephard
H. Mahmood
S. Raza
A. L. D. Araújo
A. Santos-Silva
...
Jill M Brooks
P. Nankivell
H. Mehanna
S. Khurram
Nasir M. Rajpoot
MedIm
76
1
0
09 Nov 2023
Multi-task Learning for Optical Coherence Tomography Angiography (OCTA)
  Vessel Segmentation
Multi-task Learning for Optical Coherence Tomography Angiography (OCTA) Vessel Segmentation
Can Koz
Onat Dalmaz
Mertay Dayanç
28
0
0
03 Nov 2023
FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness
  Learning Using Segment Anything Model with Fair Error-Bound Scaling
FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling
Yu Tian
Minfei Shi
Yan Luo
Ava Kouhana
T. Elze
Mengyu Wang
83
5
0
03 Nov 2023
AiluRus: A Scalable ViT Framework for Dense Prediction
AiluRus: A Scalable ViT Framework for Dense Prediction
Jin Li
Yaoming Wang
Xiaopeng Zhang
Bowen Shi
Dongsheng Jiang
Chenglin Li
Wenrui Dai
Hongkai Xiong
Qi Tian
130
5
0
02 Nov 2023
Muscle volume quantification: guiding transformers with anatomical
  priors
Muscle volume quantification: guiding transformers with anatomical priors
Louise Piecuch
Vanessa Gonzales Duque
A. Sarcher
Enzo Hollville
A. Nordez
G. Rabita
G. Guilhem
Diana Mateus
ViTMedIm
46
3
0
31 Oct 2023
MIST: Medical Image Segmentation Transformer with Convolutional
  Attention Mixing (CAM) Decoder
MIST: Medical Image Segmentation Transformer with Convolutional Attention Mixing (CAM) Decoder
Md Motiur Rahman
Shiva Shokouhmand
Smriti Bhatt
M. Faezipour
MedIm
100
16
0
30 Oct 2023
Med-DANet V2: A Flexible Dynamic Architecture for Efficient Medical
  Volumetric Segmentation
Med-DANet V2: A Flexible Dynamic Architecture for Efficient Medical Volumetric Segmentation
Haoran Shen
Yifu Zhang
Wenxuan Wang
Chen Chen
Jing Liu
Shanshan Song
Jiangyun Li
MedIm
67
0
0
28 Oct 2023
SynergyNet: Bridging the Gap between Discrete and Continuous
  Representations for Precise Medical Image Segmentation
SynergyNet: Bridging the Gap between Discrete and Continuous Representations for Precise Medical Image Segmentation
Vandan Gorade
Sparsh Mittal
Debesh Jha
Ulas Bagci
69
11
0
26 Oct 2023
G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D
  Medical Image Segmentation
G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D Medical Image Segmentation
Md Mostafijur Rahman
R. Marculescu
MedIm
69
40
0
24 Oct 2023
Inter-Scale Dependency Modeling for Skin Lesion Segmentation with
  Transformer-based Networks
Inter-Scale Dependency Modeling for Skin Lesion Segmentation with Transformer-based Networks
Sania Eskandari
Janet Lumpp
ViTMedIm
40
3
0
20 Oct 2023
Skin Lesion Segmentation Improved by Transformer-based Networks with
  Inter-scale Dependency Modeling
Skin Lesion Segmentation Improved by Transformer-based Networks with Inter-scale Dependency Modeling
Sania Eskandari
Janet Lumpp
Luis Gonzalo Sánchez Giraldo
ViTMedIm
54
8
0
20 Oct 2023
DeepFDR: A Deep Learning-based False Discovery Rate Control Method for
  Neuroimaging Data
DeepFDR: A Deep Learning-based False Discovery Rate Control Method for Neuroimaging Data
Taehyo Kim
Hai Shu
Qiran Jia
Mony de Leon
49
1
0
20 Oct 2023
TRUSTED: The Paired 3D Transabdominal Ultrasound and CT Human Data for
  Kidney Segmentation and Registration Research
TRUSTED: The Paired 3D Transabdominal Ultrasound and CT Human Data for Kidney Segmentation and Registration Research
William Ndzimbong
Cyril Fourniol
Loic Themyr
Nicolas Thome
Yvonne Keeza
...
J. Marescaux
Daniel George
Didier Mutter
Alexandre Hostettler
Toby Collins
43
0
0
19 Oct 2023
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