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GT U-Net: A U-Net Like Group Transformer Network for Tooth Root
  Segmentation

GT U-Net: A U-Net Like Group Transformer Network for Tooth Root Segmentation

30 September 2021
Yunxiang Li
Shuai Wang
Jun Wang
G. Zeng
Wenjun Liu
Qianni Zhang
Qun Jin
Yaqi Wang
    ViT
    MedIm
ArXivPDFHTML

Papers citing "GT U-Net: A U-Net Like Group Transformer Network for Tooth Root Segmentation"

20 / 20 papers shown
Title
UCS: A Universal Model for Curvilinear Structure Segmentation
UCS: A Universal Model for Curvilinear Structure Segmentation
Dianshuo Li
Li Chen
Y. Cao
Kai Zhu
Jun Cheng
33
0
0
05 Apr 2025
Language-guided Scale-aware MedSegmentor for Lesion Segmentation in Medical Imaging
Language-guided Scale-aware MedSegmentor for Lesion Segmentation in Medical Imaging
Shuyi Ouyang
Jinyang Zhang
Xiangye Lin
Xilai Wang
Qingqing Chen
Yen-Wei Chen
Lanfen Lin
VLM
30
0
0
30 Aug 2024
STS MICCAI 2023 Challenge: Grand challenge on 2D and 3D semi-supervised
  tooth segmentation
STS MICCAI 2023 Challenge: Grand challenge on 2D and 3D semi-supervised tooth segmentation
Yaqi Wang
Yifan Zhang
Xiaodiao Chen
Shuai Wang
Dahong Qian
...
Yuanlin Li
Bing Wang
Chunshi Wang
Qiupu Chen
Mingqian Li
3DV
33
2
0
18 Jul 2024
FDNet: Feature Decoupled Segmentation Network for Tooth CBCT Image
FDNet: Feature Decoupled Segmentation Network for Tooth CBCT Image
Xiang Feng
Chengkai Wang
Chengyu Wu
Yunxiang Li
Yongbo He
Shuai Wang
Yaiqi Wang
3DV
10
1
0
11 Nov 2023
nnSAM: Plug-and-play Segment Anything Model Improves nnUNet Performance
nnSAM: Plug-and-play Segment Anything Model Improves nnUNet Performance
Yunxiang Li
Jing Xu
Zihan Li
Jing Wang
You Zhang
28
21
0
29 Sep 2023
Multi-dimensional Fusion and Consistency for Semi-supervised Medical
  Image Segmentation
Multi-dimensional Fusion and Consistency for Semi-supervised Medical Image Segmentation
Yixing Lu
Zhaoxin Fan
Min Xu
19
0
0
12 Sep 2023
Multiscale Progressive Text Prompt Network for Medical Image
  Segmentation
Multiscale Progressive Text Prompt Network for Medical Image Segmentation
Xianjun Han
Qianqian Chen
Zhaoyang Xie
Xuejun Li
Hongyu Yang
MedIm
11
8
0
30 Jun 2023
Attention Mechanisms in Medical Image Segmentation: A Survey
Attention Mechanisms in Medical Image Segmentation: A Survey
Yutong Xie
Bing Yang
Qi Guan
Jianpeng Zhang
Qi Wu
Yong-quan Xia
ViT
MedIm
19
16
0
29 May 2023
Medical Image Segmentation Review: The success of U-Net
Medical Image Segmentation Review: The success of U-Net
Reza Azad
Ehsan Khodapanah Aghdam
Amelie Rauland
Yiwei Jia
Atlas Haddadi Avval
Afshin Bozorgpour
Sanaz Karimijafarbigloo
Joseph Paul Cohen
Ehsan Adeli
Dorit Merhof
SSeg
14
253
0
27 Nov 2022
Vision Transformers in Medical Imaging: A Review
Vision Transformers in Medical Imaging: A Review
Emerald U. Henry
Onyeka Emebob
C. Omonhinmin
ViT
MedIm
19
33
0
18 Nov 2022
ConvTransSeg: A Multi-resolution Convolution-Transformer Network for
  Medical Image Segmentation
ConvTransSeg: A Multi-resolution Convolution-Transformer Network for Medical Image Segmentation
Zhendi Gong
Andrew P. French
Guoping Qiu
Xin Chen
ViT
MedIm
19
6
0
13 Oct 2022
UNesT: Local Spatial Representation Learning with Hierarchical
  Transformer for Efficient Medical Segmentation
UNesT: Local Spatial Representation Learning with Hierarchical Transformer for Efficient Medical Segmentation
Xin Yu
Qi Yang
Yinchi Zhou
L. Cai
Riqiang Gao
...
R. Abramson
Zizhao Zhang
Yuankai Huo
Bennett A. Landman
Yucheng Tang
ViT
MedIm
20
0
0
28 Sep 2022
LViT: Language meets Vision Transformer in Medical Image Segmentation
LViT: Language meets Vision Transformer in Medical Image Segmentation
Zihan Li
Yunxiang Li
Qingde Li
Puyang Wang
Dazhou Guo
Le Lu
D. Jin
You Zhang
Qingqi Hong
VLM
MedIm
57
131
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 Segmentation
Xian Lin
Li Yu
Kwang-Ting Cheng
Zengqiang Yan
ViT
MedIm
15
32
0
29 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
ViT
OOD
MedIm
16
19
0
02 Jun 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
OOD
MedIm
11
36
0
26 Apr 2022
Vision Transformers in Medical Computer Vision -- A Contemplative
  Retrospection
Vision Transformers in Medical Computer Vision -- A Contemplative Retrospection
Arshi Parvaiz
Muhammad Anwaar Khalid
Rukhsana Zafar
Huma Ameer
M. Ali
M. Fraz
MedIm
9
59
0
29 Mar 2022
Plug-and-play Shape Refinement Framework for Multi-site and Lifespan
  Brain Skull Stripping
Plug-and-play Shape Refinement Framework for Multi-site and Lifespan Brain Skull Stripping
Yunxiang Li
Ruilong Dan
Shuai Wang
Yifan Cao
Xiangde Luo
...
Gangyong Jia
Huiyu Zhou
You Zhang
Yaqi Wang
L. Wang
11
3
0
08 Mar 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
F. Khan
H. Fu
ViT
LM&MA
MedIm
106
660
0
24 Jan 2022
Bottleneck Transformers for Visual Recognition
Bottleneck Transformers for Visual Recognition
A. Srinivas
Tsung-Yi Lin
Niki Parmar
Jonathon Shlens
Pieter Abbeel
Ashish Vaswani
SLR
270
973
0
27 Jan 2021
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