ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2107.08623
  4. Cited By
LeViT-UNet: Make Faster Encoders with Transformer for Medical Image
  Segmentation

LeViT-UNet: Make Faster Encoders with Transformer for Medical Image Segmentation

19 July 2021
Guoping Xu
Xingrong Wu
Xuan Zhang
Xinwei He
    ViT
    MedIm
ArXivPDFHTML

Papers citing "LeViT-UNet: Make Faster Encoders with Transformer for Medical Image Segmentation"

11 / 11 papers shown
Title
QMaxViT-Unet+: A Query-Based MaxViT-Unet with Edge Enhancement for Scribble-Supervised Segmentation of Medical Images
QMaxViT-Unet+: A Query-Based MaxViT-Unet with Edge Enhancement for Scribble-Supervised Segmentation of Medical Images
Thien B. Nguyen-Tat
Hoang-An Vo
Phuoc-Sang Dang
116
0
0
17 Feb 2025
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
Shape-aware Semi-supervised 3D Semantic Segmentation for Medical Images
Shape-aware Semi-supervised 3D Semantic Segmentation for Medical Images
Shuailin Li
Chuyu Zhang
Xuming He
75
354
0
21 Jul 2020
Domain Adaptive Relational Reasoning for 3D Multi-Organ Segmentation
Domain Adaptive Relational Reasoning for 3D Multi-Organ Segmentation
Shuhao Fu
Yongyi Lu
Yan Wang
Yuyin Zhou
Wei Shen
Elliot K. Fishman
Alan Yuille
OOD
46
126
0
18 May 2020
Deep High-Resolution Representation Learning for Visual Recognition
Deep High-Resolution Representation Learning for Visual Recognition
Jingdong Wang
Ke Sun
Tianheng Cheng
Borui Jiang
Chaorui Deng
...
Yadong Mu
Mingkui Tan
Xinggang Wang
Wenyu Liu
Bin Xiao
335
3,572
0
20 Aug 2019
RA-UNet: A hybrid deep attention-aware network to extract liver and
  tumor in CT scans
RA-UNet: A hybrid deep attention-aware network to extract liver and tumor in CT scans
Qiangguo Jin
Zhao-Peng Meng
Changming Sun
Leyi Wei
R. Su
MedIm
91
357
0
04 Nov 2018
ContextNet: Exploring Context and Detail for Semantic Segmentation in
  Real-time
ContextNet: Exploring Context and Detail for Semantic Segmentation in Real-time
Rudra P. K. Poudel
Ujwal D. Bonde
Stephan Liwicki
Christopher Zach
SSeg
59
230
0
11 May 2018
Attention U-Net: Learning Where to Look for the Pancreas
Attention U-Net: Learning Where to Look for the Pancreas
Ozan Oktay
Jo Schlemper
Loic Le Folgoc
M. J. Lee
M. Heinrich
...
Jingyu Sun
Nils Y. Hammerla
Bernhard Kainz
Ben Glocker
Daniel Rueckert
SSeg
138
4,994
0
11 Apr 2018
Pyramid Scene Parsing Network
Pyramid Scene Parsing Network
Hengshuang Zhao
Jianping Shi
Xiaojuan Qi
Xiaogang Wang
Jiaya Jia
VOS
SSeg
444
11,941
0
04 Dec 2016
ENet: A Deep Neural Network Architecture for Real-Time Semantic
  Segmentation
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
Adam Paszke
Abhishek Chaurasia
Sangpil Kim
Eugenio Culurciello
SSeg
305
2,069
0
07 Jun 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
852
15,718
0
02 Nov 2015
1