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. 2105.05537
  4. Cited By
Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation

Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation

12 May 2021
Hu Cao
Yueyue Wang
Jieneng Chen
Dongsheng Jiang
Xiaopeng Zhang
Qi Tian
Manning Wang
    ViT
    MedIm
ArXivPDFHTML

Papers citing "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"

50 / 201 papers shown
Title
BiomedParse: a biomedical foundation model for image parsing of
  everything everywhere all at once
BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once
Theodore Zhao
Yu Gu
Jianwei Yang
Naoto Usuyama
Ho Hin Lee
...
B. Piening
Carlo Bifulco
Mu-Hsin Wei
Hoifung Poon
Sheng Wang
MedIm
31
22
0
21 May 2024
Multi-scale Information Sharing and Selection Network with Boundary
  Attention for Polyp Segmentation
Multi-scale Information Sharing and Selection Network with Boundary Attention for Polyp Segmentation
Xiaolu Kang
Zhuoqi Ma
Kang Liu
Yunan Li
Qiguang Miao
42
3
0
18 May 2024
Explainable Convolutional Neural Networks for Retinal Fundus
  Classification and Cutting-Edge Segmentation Models for Retinal Blood Vessels
  from Fundus Images
Explainable Convolutional Neural Networks for Retinal Fundus Classification and Cutting-Edge Segmentation Models for Retinal Blood Vessels from Fundus Images
Fatema Tuj Johora Faria
Mukaffi Bin Moin
Pronay Debnath
Asif Iftekher Fahim
Faisal Muhammad Shah
20
1
0
12 May 2024
X-Diffusion: Generating Detailed 3D MRI Volumes From a Single Image Using Cross-Sectional Diffusion Models
X-Diffusion: Generating Detailed 3D MRI Volumes From a Single Image Using Cross-Sectional Diffusion Models
Emmanuelle Bourigault
Abdullah Hamdi
Amir Jamaludin
MedIm
54
2
0
30 Apr 2024
Real Time Multi Organ Classification on Computed Tomography Images
Real Time Multi Organ Classification on Computed Tomography Images
H. Yerebakan
Y. Shinagawa
Gerardo Hermosillo
59
1
0
29 Apr 2024
Rethinking Attention Gated with Hybrid Dual Pyramid Transformer-CNN for
  Generalized Segmentation in Medical Imaging
Rethinking Attention Gated with Hybrid Dual Pyramid Transformer-CNN for Generalized Segmentation in Medical Imaging
F. Bougourzi
Fadi Dornaika
Abdelmalik Taleb-Ahmed
Vinh Truong Hoang
MedIm
ViT
39
2
0
28 Apr 2024
Sparse Reconstruction of Optical Doppler Tomography with Alternative State Space Model and Attention
Sparse Reconstruction of Optical Doppler Tomography with Alternative State Space Model and Attention
Zhenghong Li
Jiaxiang Ren
Wensheng Cheng
C. Du
Yingtian Pan
Haibin Ling
50
0
0
26 Apr 2024
MambaUIE&SR: Unraveling the Ocean's Secrets with Only 2.8 GFLOPs
MambaUIE&SR: Unraveling the Ocean's Secrets with Only 2.8 GFLOPs
Zhihao Chen
Yiyuan Ge
Mamba
30
5
0
22 Apr 2024
How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything Model
How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything Model
Han Gu
Haoyu Dong
Jichen Yang
Maciej Mazurowski
MedIm
VLM
80
12
0
15 Apr 2024
LUCF-Net: Lightweight U-shaped Cascade Fusion Network for Medical Image
  Segmentation
LUCF-Net: Lightweight U-shaped Cascade Fusion Network for Medical Image Segmentation
Songkai Sun
Qingshan She
Yuliang Ma
Rihui Li
Yingchun Zhang
MedIm
28
0
0
11 Apr 2024
LiteNeXt: A Novel Lightweight ConvMixer-based Model with Self-embedding Representation Parallel for Medical Image Segmentation
LiteNeXt: A Novel Lightweight ConvMixer-based Model with Self-embedding Representation Parallel for Medical Image Segmentation
Ngoc-Du Tran
Thi-Thao Tran
Quang-Huy Nguyen
Manh-Hung Vu
Van-Truong Pham
MedIm
ViT
36
1
0
04 Apr 2024
Enhancing Efficiency in Vision Transformer Networks: Design Techniques
  and Insights
Enhancing Efficiency in Vision Transformer Networks: Design Techniques and Insights
Moein Heidari
Reza Azad
Sina Ghorbani Kolahi
René Arimond
Leon Niggemeier
...
Afshin Bozorgpour
Ehsan Khodapanah Aghdam
A. Kazerouni
I. Hacihaliloglu
Dorit Merhof
43
7
0
28 Mar 2024
PECI-Net: Bolus segmentation from video fluoroscopic swallowing study
  images using preprocessing ensemble and cascaded inference
PECI-Net: Bolus segmentation from video fluoroscopic swallowing study images using preprocessing ensemble and cascaded inference
Dougho Park
Younghun Kim
Harim Kang
Junmyeoung Lee
Jinyoung Choi
Taeyeon Kim
Sangeok Lee
Seokil Son
Minsol Kim
Injung Kim
21
2
0
21 Mar 2024
D-Net: Dynamic Large Kernel with Dynamic Feature Fusion for Volumetric
  Medical Image Segmentation
D-Net: Dynamic Large Kernel with Dynamic Feature Fusion for Volumetric Medical Image Segmentation
Jin Yang
Peijie Qiu
Yichi Zhang
Daniel S. Marcus
Aristeidis Sotiras
MedIm
38
9
0
15 Mar 2024
Unsupervised Domain Adaptation for Brain Vessel Segmentation through
  Transwarp Contrastive Learning
Unsupervised Domain Adaptation for Brain Vessel Segmentation through Transwarp Contrastive Learning
Fengming Lin
Yan Xia
Michael MacRaild
Yash Deo
Haoran Dou
Qiongyao Liu
Kun Wu
Nishant Ravikumar
Alejandro F. Frangi
OOD
32
1
0
23 Feb 2024
One Model to Rule them All: Towards Universal Segmentation for Medical Images with Text Prompts
One Model to Rule them All: Towards Universal Segmentation for Medical Images with Text Prompts
Ziheng Zhao
Yao Zhang
Chaoyi Wu
Xiaoman Zhang
Ya-Qin Zhang
Yanfeng Wang
Weidi Xie
VLM
MedIm
32
37
0
28 Dec 2023
ClassLIE: Structure- and Illumination-Adaptive Classification for
  Low-Light Image Enhancement
ClassLIE: Structure- and Illumination-Adaptive Classification for Low-Light Image Enhancement
Zixiang Wei
Yiting Wang
Lichao Sun
Athanasios V. Vasilakos
Lin Wang
36
0
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
51
13
0
14 Dec 2023
TULIP: Transformer for Upsampling of LiDAR Point Clouds
TULIP: Transformer for Upsampling of LiDAR Point Clouds
Bin Yang
Patrick Pfreundschuh
Roland Siegwart
Marco Hutter
Peyman Moghadam
Vaishakh Patil
3DPC
20
6
0
11 Dec 2023
Spectral-wise Implicit Neural Representation for Hyperspectral Image Reconstruction
Spectral-wise Implicit Neural Representation for Hyperspectral Image Reconstruction
Huan Chen
Wangcai Zhao
Tingfa Xu
Shiyun Zhou
Peifu Liu
Jianan Li
50
20
0
02 Dec 2023
A Recent Survey of Vision Transformers for Medical Image Segmentation
A Recent Survey of Vision Transformers for Medical Image Segmentation
Asifullah Khan
Zunaira Rauf
Abdul Rehman Khan
Saima Rathore
Dr. Saddam Hussain Khan
...
Suleman Qamar
Umme Hani Asif
Faiza Babar Khan
A. Majid
Jeonghwan Gwak
ViT
MedIm
47
16
0
01 Dec 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
16
6
0
27 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
24
0
0
17 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
13
4
0
10 Nov 2023
CSAM: A 2.5D Cross-Slice Attention Module for Anisotropic Volumetric
  Medical Image Segmentation
CSAM: A 2.5D Cross-Slice Attention Module for Anisotropic Volumetric Medical Image Segmentation
A. Hung
Haoxin Zheng
Kai Zhao
Xiaoxi Du
Kaifeng Pang
Qi Miao
Steven S. Raman
D. Terzopoulos
Kyunghyun Sung
3DPC
30
4
0
08 Nov 2023
A Deep Learning Approach to Teeth Segmentation and Orientation from
  Panoramic X-rays
A Deep Learning Approach to Teeth Segmentation and Orientation from Panoramic X-rays
M. K. Dhar
Mou Deb
D. Madhab
Zeyun Yu
25
1
0
26 Oct 2023
From Pointwise to Powerhouse: Initialising Neural Networks with
  Generative Models
From Pointwise to Powerhouse: Initialising Neural Networks with Generative Models
Christian Harder
Moritz Fuchs
Yuri Tolkach
Anirban Mukhopadhyay
25
0
0
25 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
ViT
MedIm
26
7
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
13
0
0
20 Oct 2023
Minimalist and High-Performance Semantic Segmentation with Plain Vision
  Transformers
Minimalist and High-Performance Semantic Segmentation with Plain Vision Transformers
Yuanduo Hong
Jue Wang
Weichao Sun
Huihui Pan
VLM
ViT
37
7
0
19 Oct 2023
Medical Image Segmentation via Sparse Coding Decoder
Medical Image Segmentation via Sparse Coding Decoder
Long Zeng
Kaigui Wu
MedIm
21
3
0
17 Oct 2023
3D TransUNet: Advancing Medical Image Segmentation through Vision
  Transformers
3D TransUNet: Advancing Medical Image Segmentation through Vision Transformers
Jieneng Chen
Jieru Mei
Xianhang Li
Yongyi Lu
Qihang Yu
...
M. Lungren
Lei Xing
Le Lu
Alan L. Yuille
Yuyin Zhou
MedIm
ViT
33
36
0
11 Oct 2023
Multi-domain improves out-of-distribution and data-limited scenarios for
  medical image analysis
Multi-domain improves out-of-distribution and data-limited scenarios for medical image analysis
Ece Ozkan
Xavier Boix
OOD
28
0
0
10 Oct 2023
Discrepancy Matters: Learning from Inconsistent Decoder Features for
  Consistent Semi-supervised Medical Image Segmentation
Discrepancy Matters: Learning from Inconsistent Decoder Features for Consistent Semi-supervised Medical Image Segmentation
Qingjie Zeng
Yutong Xie
Ziling Lu
Mengkang Lu
Yong-quan Xia
26
4
0
26 Sep 2023
Partition-A-Medical-Image: Extracting Multiple Representative
  Sub-regions for Few-shot Medical Image Segmentation
Partition-A-Medical-Image: Extracting Multiple Representative Sub-regions for Few-shot Medical Image Segmentation
Yazhou Zhu
Shidong Wang
Tong Xin
Zheng-Wei Zhang
Haofeng Zhang
18
10
0
20 Sep 2023
MS-UNet-v2: Adaptive Denoising Method and Training Strategy for Medical
  Image Segmentation with Small Training Data
MS-UNet-v2: Adaptive Denoising Method and Training Strategy for Medical Image Segmentation with Small Training Data
Haoyuan Chen
Yufei Han
Pin Xu
Yanyi Li
Kuan Li
Jianping Yin
26
0
0
07 Sep 2023
SAM3D: Segment Anything Model in Volumetric Medical Images
SAM3D: Segment Anything Model in Volumetric Medical Images
Nhat-Tan Bui
Dinh-Hieu Hoang
Minh-Triet Tran
Gianfranco Doretto
Donald Adjeroh
Brijesh Patel
Arabinda Choudhary
Ngan Le
MedIm
31
39
0
07 Sep 2023
ECPC-IDS:A benchmark endometrail cancer PET/CT image dataset for
  evaluation of semantic segmentation and detection of hypermetabolic regions
ECPC-IDS:A benchmark endometrail cancer PET/CT image dataset for evaluation of semantic segmentation and detection of hypermetabolic regions
Dechao Tang
Tianming Du
Deguo Ma
Zhiyuan Ma
Hongzan Sun
M. Grzegorzek
Huiyan Jiang
Chen Li
35
2
0
16 Aug 2023
CARE: A Large Scale CT Image Dataset and Clinical Applicable Benchmark
  Model for Rectal Cancer Segmentation
CARE: A Large Scale CT Image Dataset and Clinical Applicable Benchmark Model for Rectal Cancer Segmentation
Han-Di Zhang
Wei-Ting Guo
Chenyang Qiu
Shouhong Wan
Bingbing Zou
Wanqin Wang
Peiquan Jin
10
4
0
16 Aug 2023
Improving FHB Screening in Wheat Breeding Using an Efficient Transformer
  Model
Improving FHB Screening in Wheat Breeding Using an Efficient Transformer Model
Babak Azad
A. Abdalla
Kwanghee Won
A. M. Nafchi
MedIm
24
2
0
07 Aug 2023
Adaptive Semi-Supervised Segmentation of Brain Vessels with Ambiguous
  Labels
Adaptive Semi-Supervised Segmentation of Brain Vessels with Ambiguous Labels
Fengming Lin
Yan Xia
Nishant Ravikumar
Qiongyao Liu
Michael MacRaild
Alejandro F Frangi
18
4
0
07 Aug 2023
MCPA: Multi-scale Cross Perceptron Attention Network for 2D Medical
  Image Segmentation
MCPA: Multi-scale Cross Perceptron Attention Network for 2D Medical Image Segmentation
Liang Xu
Mingxi Chen
Yiyu Cheng
Pengfei Shao
Shuwei Shen
Peng Yao
Ronald X. Xu
ViT
32
0
0
27 Jul 2023
Simulation of Arbitrary Level Contrast Dose in MRI Using an Iterative
  Global Transformer Model
Simulation of Arbitrary Level Contrast Dose in MRI Using an Iterative Global Transformer Model
Dayang Wang
Srivathsa Pasumarthi
Greg Zaharchuk
R. Chamberlain
MedIm
23
1
0
22 Jul 2023
TransNuSeg: A Lightweight Multi-Task Transformer for Nuclei Segmentation
TransNuSeg: A Lightweight Multi-Task Transformer for Nuclei Segmentation
Zhen-Peng He
Mathias Unberath
Jing Ke
Yiqing Shen
ViT
MedIm
17
18
0
16 Jul 2023
HEAL-SWIN: A Vision Transformer On The Sphere
HEAL-SWIN: A Vision Transformer On The Sphere
Oscar Carlsson
Jan E. Gerken
H. Linander
Heiner Spiess
F. Ohlsson
Christoffer Petersson
Daniel Persson
ViT
MedIm
29
6
0
14 Jul 2023
Single-Image-Based Deep Learning for Segmentation of Early Esophageal
  Cancer Lesions
Single-Image-Based Deep Learning for Segmentation of Early Esophageal Cancer Lesions
Haipeng Li
Di Liu
Yunzhi Zeng
Shuaicheng Liu
Tao Gan
N. Rao
Jin-lin Yang
Bing Zeng
19
6
0
09 Jun 2023
Neighborhood Attention Makes the Encoder of ResUNet Stronger for
  Accurate Road Extraction
Neighborhood Attention Makes the Encoder of ResUNet Stronger for Accurate Road Extraction
Ali Jamali
S. K. Roy
Jonathan Li
Pedram Ghamisi
24
4
0
08 Jun 2023
NexToU: Efficient Topology-Aware U-Net for Medical Image Segmentation
NexToU: Efficient Topology-Aware U-Net for Medical Image Segmentation
P. Shi
Xutao Guo
Yanwu Yang
Chenfei Ye
H. T. Ma
22
5
0
25 May 2023
AutoPaint: A Self-Inpainting Method for Unsupervised Anomaly Detection
AutoPaint: A Self-Inpainting Method for Unsupervised Anomaly Detection
M. Astaraki
F. Benetti
Yousef Yeganeh
I. Toma-Dasu
Orjan Smedby
Chunliang Wang
Nassir Navab
T. Wendler
10
6
0
21 May 2023
MaxViT-UNet: Multi-Axis Attention for Medical Image Segmentation
MaxViT-UNet: Multi-Axis Attention for Medical Image Segmentation
Abdul Rehman Khan
Asifullah Khan
ViT
MedIm
34
14
0
15 May 2023
Previous
12345
Next