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. 2111.14791
  4. Cited By
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image
  Analysis

Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis

29 November 2021
Yucheng Tang
Dong Yang
Wenqi Li
H. Roth
Bennett Landman
Daguang Xu
V. Nath
Ali Hatamizadeh
    ViT
    MedIm
ArXivPDFHTML

Papers citing "Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis"

50 / 251 papers shown
Title
VIViT: Variable-Input Vision Transformer Framework for 3D MR Image Segmentation
VIViT: Variable-Input Vision Transformer Framework for 3D MR Image Segmentation
B. K. Das
Ajay Singh
Gengyan Zhao
Han Liu
Thomas J. Re
D. Comaniciu
Eli Gibson
Andreas K. Maier
ViT
MedIm
26
0
0
13 May 2025
Calibration and Uncertainty for multiRater Volume Assessment in multiorgan Segmentation (CURVAS) challenge results
Calibration and Uncertainty for multiRater Volume Assessment in multiorgan Segmentation (CURVAS) challenge results
Meritxell Riera-Marin
S. Ko
Julia Rodriguez-Comas
Matthias Stefan May
Zhaohong Pan
...
Anton Aubanell
Andreu Antolin
Javier Garcia-Lopez
M. A. G. Ballester
Adrian Galdran
UQCV
43
0
0
13 May 2025
GaMNet: A Hybrid Network with Gabor Fusion and NMamba for Efficient 3D Glioma Segmentation
GaMNet: A Hybrid Network with Gabor Fusion and NMamba for Efficient 3D Glioma Segmentation
Chengwei Ye
H. Zhang
Yufei Lin
Kangsheng Wang
Linuo Xu
Shuyan Liu
MedIm
127
0
0
08 May 2025
Uncertainty-Guided Coarse-to-Fine Tumor Segmentation with Anatomy-Aware Post-Processing
Uncertainty-Guided Coarse-to-Fine Tumor Segmentation with Anatomy-Aware Post-Processing
I. Isler
David Mohaisen
C. Lisle
D. Turgut
Ulas Bagci
26
0
0
16 Apr 2025
TextDiffSeg: Text-guided Latent Diffusion Model for 3d Medical Images Segmentation
TextDiffSeg: Text-guided Latent Diffusion Model for 3d Medical Images Segmentation
Kangbo Ma
MedIm
27
0
0
16 Apr 2025
Dynamic Importance in Diffusion U-Net for Enhanced Image Synthesis
Dynamic Importance in Diffusion U-Net for Enhanced Image Synthesis
Xi Wang
Ziqi He
Yang Zhou
37
0
0
04 Apr 2025
AutoSSVH: Exploring Automated Frame Sampling for Efficient Self-Supervised Video Hashing
AutoSSVH: Exploring Automated Frame Sampling for Efficient Self-Supervised Video Hashing
Niu Lian
Jun Li
Jinpeng Wang
Ruisheng Luo
Yaowei Wang
Shu-Tao Xia
Bin Chen
113
0
0
04 Apr 2025
MedCL: Learning Consistent Anatomy Distribution for Scribble-supervised Medical Image Segmentation
MedCL: Learning Consistent Anatomy Distribution for Scribble-supervised Medical Image Segmentation
Ke Zhang
Vishal M. Patel
49
0
0
28 Mar 2025
Foundation Model for Whole-Heart Segmentation: Leveraging Student-Teacher Learning in Multi-Modal Medical Imaging
Foundation Model for Whole-Heart Segmentation: Leveraging Student-Teacher Learning in Multi-Modal Medical Imaging
Abdul Qayyum
Moona Mazher
Devran Ugurlu
J. Solís-Lemus
C. Rodero
Steven A Niederer
42
0
0
24 Mar 2025
Downstream Analysis of Foundational Medical Vision Models for Disease Progression
Downstream Analysis of Foundational Medical Vision Models for Disease Progression
Basar Demir
Soumitri Chattopadhyay
Thomas Hastings Greer
Boqi Chen
Marc Niethammer
MedIm
48
0
0
21 Mar 2025
MM-UNet: Meta Mamba UNet for Medical Image Segmentation
MM-UNet: Meta Mamba UNet for Medical Image Segmentation
Bin Xie
Yan Yan
Gady Agam
Mamba
59
0
0
21 Mar 2025
MAST-Pro: Dynamic Mixture-of-Experts for Adaptive Segmentation of Pan-Tumors with Knowledge-Driven Prompts
MAST-Pro: Dynamic Mixture-of-Experts for Adaptive Segmentation of Pan-Tumors with Knowledge-Driven Prompts
Runqi Meng
S. Song
Pengfei Jin
Y. Oh
L. Teng
...
L. Chen
X. Li
Quanzheng Li
Ning Guo
Dinggang Shen
51
0
0
18 Mar 2025
Towards Universal Text-driven CT Image Segmentation
Yuheng Li
Yuxiang Lai
Maria Thor
Deborah Marshall
Zachary Buchwald
D. Yu
Xiaofeng Yang
MedIm
VLM
52
2
0
08 Mar 2025
Learning 3D Medical Image Models From Brain Functional Connectivity Network Supervision For Mental Disorder Diagnosis
Xingcan Hu
Wei Wang
Li Xiao
40
0
0
06 Mar 2025
COMMA: Coordinate-aware Modulated Mamba Network for 3D Dispersed Vessel Segmentation
Gen Shi
Hui Zhang
Jie Tian
Mamba
66
0
0
04 Mar 2025
Primus: Enforcing Attention Usage for 3D Medical Image Segmentation
Tassilo Wald
Saikat Roy
Fabian Isensee
Constantin Ulrich
Sebastian Ziegler
D. Trofimova
Raphael Stock
Michael Baumgartner
Gregor Köhler
Klaus H. Maier-Hein
ViT
MedIm
42
1
0
03 Mar 2025
Cross-Attention Fusion of MRI and Jacobian Maps for Alzheimer's Disease Diagnosis
Shijia Zhang
Xiyu Ding
Brian Caffo
Junyu Chen
Cindy Zhang
Hadi Kharrazi
Zheyu Wang
MedIm
29
0
0
01 Mar 2025
LesionLocator: Zero-Shot Universal Tumor Segmentation and Tracking in 3D Whole-Body Imaging
LesionLocator: Zero-Shot Universal Tumor Segmentation and Tracking in 3D Whole-Body Imaging
Maximilian R. Rokuss
Yannick Kirchhoff
Seval Akbal
Balint Kovacs
Saikat Roy
Constantin Ulrich
Tassilo Wald
Lukas T. Rotkopf
H. Schlemmer
Klaus H. Maier-Hein
3DV
MedIm
39
1
0
28 Feb 2025
E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation
E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation
Boqian Wu
Q. Xiao
Shiwei Liu
Lu Yin
Mykola Pechenizkiy
D. Mocanu
M. V. Keulen
Elena Mocanu
MedIm
53
4
0
20 Feb 2025
Brain-Adapter: Enhancing Neurological Disorder Analysis with Adapter-Tuning Multimodal Large Language Models
Jing Zhang
Xiaowei Yu
Yanjun Lyu
Lu Zhang
Tong Chen
Chao-Yang Cao
Yan Zhuang
Minheng Chen
Tianming Liu
D. Zhu
32
2
0
28 Jan 2025
Unified 3D MRI Representations via Sequence-Invariant Contrastive Learning
Unified 3D MRI Representations via Sequence-Invariant Contrastive Learning
Liam Chalcroft
Jenny Crinion
Cathy J. Price
John Ashburner
136
0
0
21 Jan 2025
A generalizable 3D framework and model for self-supervised learning in medical imaging
A generalizable 3D framework and model for self-supervised learning in medical imaging
Tony Xu
Sepehr Hosseini
Chris Anderson
Anthony Rinaldi
Rahul G. Krishnan
Anne L. Martel
Maged Goubran
MedIm
45
3
0
20 Jan 2025
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks?
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks?
Wenxuan Li
Alan L. Yuille
Zongwei Zhou
MedIm
43
8
0
20 Jan 2025
PointVoxelFormer -- Reviving point cloud networks for 3D medical imaging
PointVoxelFormer -- Reviving point cloud networks for 3D medical imaging
Mattias Paul Heinrich
3DPC
37
0
0
23 Dec 2024
TS-SatFire: A Multi-Task Satellite Image Time-Series Dataset for
  Wildfire Detection and Prediction
TS-SatFire: A Multi-Task Satellite Image Time-Series Dataset for Wildfire Detection and Prediction
Yu Zhao
Sebastian Gerard
Y. Ban
AI4TS
65
2
0
16 Dec 2024
MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation
  with Modality-Conditioned Text Embedding and Alternating Training
MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training
Chengyin Li
Hui Zhu
Rafi Ibn Sultan
H. Bagher-Ebadian
Prashant Khanduri
Chetty Indrin
Kundan Thind
Dongxiao Zhu
MedIm
80
1
0
23 Nov 2024
LDM-Morph: Latent diffusion model guided deformable image registration
LDM-Morph: Latent diffusion model guided deformable image registration
Jiong Wu
Kuang Gong
MedIm
66
4
0
23 Nov 2024
Med-2E3: A 2D-Enhanced 3D Medical Multimodal Large Language Model
Med-2E3: A 2D-Enhanced 3D Medical Multimodal Large Language Model
Yiming Shi
Xun Zhu
Ying Hu
Chenyi Guo
Miao Li
Ji Wu
71
1
0
19 Nov 2024
Personalize to generalize: Towards a universal medical multi-modality
  generalization through personalization
Personalize to generalize: Towards a universal medical multi-modality generalization through personalization
Zhaorui Tan
Xi Yang
Tan Pan
Tianyi Liu
Chen Jiang
...
Qiufeng Wang
Anh Nguyen
Yuan Qi
K. Huang
Yuan-Chia Cheng
AI4CE
LM&MA
39
0
0
09 Nov 2024
MLLA-UNet: Mamba-like Linear Attention in an Efficient U-Shape Model for
  Medical Image Segmentation
MLLA-UNet: Mamba-like Linear Attention in an Efficient U-Shape Model for Medical Image Segmentation
Yufeng Jiang
Zongxi Li
Xiangyan Chen
Haoran Xie
Jing Cai
Mamba
39
1
0
31 Oct 2024
Revisiting MAE pre-training for 3D medical image segmentation
Revisiting MAE pre-training for 3D medical image segmentation
Tassilo Wald
Constantin Ulrich
Stanislav Lukyanenko
Andrei Goncharov
Alberto Paderno
Leander Maerkisch
Paul F. Jäger
Paul F. Jäger
Klaus Maier-Hein
42
2
0
30 Oct 2024
MAPUNetR: A Hybrid Vision Transformer and U-Net Architecture for
  Efficient and Interpretable Medical Image Segmentation
MAPUNetR: A Hybrid Vision Transformer and U-Net Architecture for Efficient and Interpretable Medical Image Segmentation
Ovais Iqbal Shah
Danish Raza Rizvi
Aqib Nazir Mir
ViT
MedIm
28
1
0
29 Oct 2024
KA$^2$ER: Knowledge Adaptive Amalgamation of ExpeRts for Medical Images
  Segmentation
KA2^22ER: Knowledge Adaptive Amalgamation of ExpeRts for Medical Images Segmentation
Shangde Gao
Yichao Fu
Ke Liu
Hongxia Xu
Jian Wu
MedIm
33
1
0
28 Oct 2024
Unleashing the Potential of Vision-Language Pre-Training for 3D Zero-Shot Lesion Segmentation via Mask-Attribute Alignment
Unleashing the Potential of Vision-Language Pre-Training for 3D Zero-Shot Lesion Segmentation via Mask-Attribute Alignment
Yankai Jiang
Wenhui Lei
Xiaofan Zhang
S. Zhang
MedIm
32
2
0
21 Oct 2024
On-device Federated Learning in Smartphones for Detecting Depression from Reddit Posts
On-device Federated Learning in Smartphones for Detecting Depression from Reddit Posts
Mustofa Ahmed
Abdul Muntakim
Nawrin Tabassum
Mohammad Asifur Rahim
Faisal Muhammad Shah
FedML
26
0
0
17 Oct 2024
Multi-modal Vision Pre-training for Medical Image Analysis
Multi-modal Vision Pre-training for Medical Image Analysis
Shaohao Rui
Lingzhi Chen
Zhenyu Tang
Lilong Wang
M. Liu
S. Zhang
Xiaosong Wang
32
0
0
14 Oct 2024
Large-Scale 3D Medical Image Pre-training with Geometric Context Priors
Large-Scale 3D Medical Image Pre-training with Geometric Context Priors
Linshan Wu
Jiaxin Zhuang
Hao Chen
39
5
0
13 Oct 2024
3-D Magnetotelluric Deep Learning Inversion Guided by Pseudo-Physical Information
3-D Magnetotelluric Deep Learning Inversion Guided by Pseudo-Physical Information
Peifan Jiang
X. Wang
Shuang Wang
Fei Deng
Kunpeng Wang
Bin Wang
Yuhan Yang
AI4CE
109
0
0
12 Oct 2024
MedUniSeg: 2D and 3D Medical Image Segmentation via a Prompt-driven
  Universal Model
MedUniSeg: 2D and 3D Medical Image Segmentation via a Prompt-driven Universal Model
Yiwen Ye
Ziyang Chen
Jianpeng Zhang
Yutong Xie
Yong Xia
MedIm
39
3
0
08 Oct 2024
Low-Rank Continual Pyramid Vision Transformer: Incrementally Segment
  Whole-Body Organs in CT with Light-Weighted Adaptation
Low-Rank Continual Pyramid Vision Transformer: Incrementally Segment Whole-Body Organs in CT with Light-Weighted Adaptation
Vince Zhu
Zhanghexuan Ji
Dazhou Guo
Puyang Wang
Yingda Xia
Le Lu
Xianghua Ye
Wei-wei Zhu
Dakai Jin
ViT
MedIm
CLL
33
0
0
07 Oct 2024
Towards a vision foundation model for comprehensive assessment of
  Cardiac MRI
Towards a vision foundation model for comprehensive assessment of Cardiac MRI
Athira J. Jacob
Indraneel Borgohain
T. Chitiboi
Puneet Sharma
D. Comaniciu
Daniel Rueckert
MedIm
34
4
0
02 Oct 2024
Y-CA-Net: A Convolutional Attention Based Network for Volumetric Medical
  Image Segmentation
Y-CA-Net: A Convolutional Attention Based Network for Volumetric Medical Image Segmentation
Muhammad Hamza Sharif
Muzammal Naseer
Mohammad Yaqub
Min Xu
Mohsen Guizani
OOD
MedIm
ViT
28
0
0
01 Oct 2024
Domain Aware Multi-Task Pretraining of 3D Swin Transformer for
  T1-weighted Brain MRI
Domain Aware Multi-Task Pretraining of 3D Swin Transformer for T1-weighted Brain MRI
Jonghun Kim
Mansu Kim
Hyunjin Park
MedIm
ViT
18
0
0
01 Oct 2024
Medical Image Segmentation with SAM-generated Annotations
Medical Image Segmentation with SAM-generated Annotations
Iira Häkkinen
Iaroslav Melekhov
Erik Englesson
Hossein Azizpour
Juho Kannala
VLM
28
0
0
30 Sep 2024
LoRKD: Low-Rank Knowledge Decomposition for Medical Foundation Models
LoRKD: Low-Rank Knowledge Decomposition for Medical Foundation Models
Haolin Li
Yuhang Zhou
Ziheng Zhao
Siyuan Du
Jiangchao Yao
Weidi Xie
Ya Zhang
Yanfeng Wang
31
1
0
29 Sep 2024
MorphoSeg: An Uncertainty-Aware Deep Learning Method for Biomedical
  Segmentation of Complex Cellular Morphologies
MorphoSeg: An Uncertainty-Aware Deep Learning Method for Biomedical Segmentation of Complex Cellular Morphologies
Tianhao Zhang
Heather J. McCourty
Berardo M. Sanchez-Tafolla
Anton Nikolaev
Lyudmila Mihaylova
21
0
0
25 Sep 2024
Model Ensemble for Brain Tumor Segmentation in Magnetic Resonance
  Imaging
Model Ensemble for Brain Tumor Segmentation in Magnetic Resonance Imaging
Daniel Capellán-Martín
Zhifan Jiang
Abhijeet Parida
Xinyang Liu
Van Lam
...
Austin Tapp
Sarah Elsharkawi
María J. Ledesma-Carbayo
Syed Muhammad Anwar
M. Linguraru
31
3
0
12 Sep 2024
Lagrange Duality and Compound Multi-Attention Transformer for
  Semi-Supervised Medical Image Segmentation
Lagrange Duality and Compound Multi-Attention Transformer for Semi-Supervised Medical Image Segmentation
Fuchen Zheng
Quanjun Li
Weixuan Li
Xuhang Chen
Yihang Dong
Guoheng Huang
Chi-Man Pun
Shoujun Zhou
MedIm
31
0
0
12 Sep 2024
ASSNet: Adaptive Semantic Segmentation Network for Microtumors and
  Multi-Organ Segmentation
ASSNet: Adaptive Semantic Segmentation Network for Microtumors and Multi-Organ Segmentation
Fuchen Zheng
Xinyi Chen
Xuhang Chen
Haolun Li
Xiaojiao Guo
Guoheng Huang
Chi-Man Pun
Shoujun Zhou
ViT
MedIm
27
0
0
12 Sep 2024
A Novel Hybrid Parameter-Efficient Fine-Tuning Approach for Hippocampus
  Segmentation and Alzheimer's Disease Diagnosis
A Novel Hybrid Parameter-Efficient Fine-Tuning Approach for Hippocampus Segmentation and Alzheimer's Disease Diagnosis
Wangang Cheng
Guanghua He
Keli Hu
Mingyu Fang
Liang Dong
Zhong Li
Hancan Zhu
36
0
0
02 Sep 2024
123456
Next