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

29 November 2021

Wenqi Li

Bennett Landman

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

50 / 251 papers shown

Title
How we won BraTS 2023 Adult Glioma challenge? Just faking it! Enhanced Synthetic Data Augmentation and Model Ensemble for brain tumour segmentation André Ferreira Naida Solak Jianning Li Philipp Dammann Jens Kleesiek Victor Alves Jan Egger 21 13 0 27 Feb 2024
DeepSet SimCLR: Self-supervised deep sets for improved pathology representation learning David Torpey Richard Klein SSL 42 1 0 23 Feb 2024
Uncertainty-driven and Adversarial Calibration Learning for Epicardial Adipose Tissue Segmentation Kai Zhao Zhiming Liu Jiaqi Liu Jingbiao Zhou Bihong Liao Huifang Tang Qiuyu Wang Chunquan Li UQCV 42 0 0 22 Feb 2024
Learning Low-Rank Feature for Thorax Disease Classification Rajeev Goel Utkarsh Nath Yancheng Wang Alvin C. Silva Teresa Wu Yingzhen Yang 22 0 0 14 Feb 2024
ScribFormer: Transformer Makes CNN Work Better for Scribble-based Medical Image Segmentation Zihan Li Yuan Zheng Dandan Shan Shuzhou Yang Qingde Li Beizhan Wang Yuan-ting Zhang Qingqi Hong Dinggang Shen ViT MedIm 24 39 0 03 Feb 2024
CIS-UNet: Multi-Class Segmentation of the Aorta in Computed Tomography Angiography via Context-Aware Shifted Window Self-Attention Muhammad Imran J. Krebs Veera Rajasekhar Reddy Gopu B. Fazzone Vishal Balaji Sivaraman ... R. Heithaus B. Shickel Yuyin Zhou M. Cooper Wei Shao 32 7 0 23 Jan 2024
Exploring scalable medical image encoders beyond text supervision Fernando Pérez-García Harshita Sharma Sam Bond-Taylor Kenza Bouzid Valentina Salvatelli ... Maria T. A. Wetscherek Noel Codella Stephanie L. Hyland Javier Alvarez-Valle Ozan Oktay LM&MA MedIm 50 9 0 19 Jan 2024
Slicer Networks Hang Zhang Xiang Chen Rongguang Wang Renjiu Hu Dongdong Liu Gaolei Li MedIm 23 2 0 18 Jan 2024
Unsupervised Pre-Training for 3D Leaf Instance Segmentation Gianmarco Roggiolani Federico Magistri Tiziano Guadagnino Jens Behley C. Stachniss 19 6 0 16 Jan 2024
Self-supervised Learning of Dense Hierarchical Representations for Medical Image Segmentation Eytan Kats Jochen G. Hirsch Mattias P. Heinrich SSL 22 0 0 12 Jan 2024
Primitive Geometry Segment Pre-training for 3D Medical Image Segmentation Ryu Tadokoro Ryosuke Yamada Kodai Nakashima Ryo Nakamura Hirokatsu Kataoka 27 4 0 08 Jan 2024
Enhancing Representation in Medical Vision-Language Foundation Models via Multi-Scale Information Extraction Techniques Weijian Huang Cheng Li Hong-Yu Zhou Jiarun Liu Hao Yang Yong Liang Guangming Shi Hairong Zheng Shanshan Wang 27 2 0 03 Jan 2024
Benefit from public unlabeled data: A Frangi filtering-based pretraining network for 3D cerebrovascular segmentation Gen Shi Hao Lu Hui Hui Jie Tian 14 1 0 23 Dec 2023
PnPNet: Pull-and-Push Networks for Volumetric Segmentation with Boundary Confusion Xin You Ming Ding Minghui Zhang Hanxiao Zhang Yi Yu Jie-jin Yang Yun Gu 42 1 0 13 Dec 2023
ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Biomedical Image Hallee E. Wong Marianne Rakic John Guttag Adrian V. Dalca 29 18 0 12 Dec 2023
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 VLM SSeg 39 17 0 08 Dec 2023
ZePT: Zero-Shot Pan-Tumor Segmentation via Query-Disentangling and Self-Prompting Yankai Jiang Zhongzhen Huang Rongzhao Zhang Xiaofan Zhang Shaoting Zhang VLM 34 10 0 07 Dec 2023
Towards General Purpose Vision Foundation Models for Medical Image Analysis: An Experimental Study of DINOv2 on Radiology Benchmarks Mohammed Baharoon Waseem Qureshi J. Ouyang Yanwu Xu Abdulrhman Aljouie Wei Peng MedIm AI4CE 43 8 0 04 Dec 2023
Continual Self-supervised Learning: Towards Universal Multi-modal Medical Data Representation Learning Yiwen Ye Yutong Xie Jianpeng Zhang Ziyang Chen Qi Wu Yong-quan Xia CLL 34 14 0 29 Nov 2023
Spatially Covariant Image Registration with Text Prompts Xiang Chen Min Liu Rongguang Wang Renjiu Hu Dongdong Liu Gaolei Li Hang Zhang MedIm 35 9 0 27 Nov 2023
Unified Medical Image Pre-training in Language-Guided Common Semantic Space Xiaoxuan He Yifan Yang Xinyang Jiang Xufang Luo Haoji Hu Siyun Zhao Dongsheng Li Yuqing Yang Lili Qiu 36 1 0 24 Nov 2023
SegVol: Universal and Interactive Volumetric Medical Image Segmentation Yuxin Du Fan Bai Tiejun Huang Bo-Lu Zhao VLM 28 38 0 22 Nov 2023
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 25 0 0 17 Nov 2023
Swin UNETR++: Advancing Transformer-Based Dense Dose Prediction Towards Fully Automated Radiation Oncology Treatments Kuancheng Wang Hai Siong Tan R. Mcbeth 17 2 0 11 Nov 2023
SSL-DG: Rethinking and Fusing Semi-supervised Learning and Domain Generalization in Medical Image Segmentation Zanting Ye 24 2 0 05 Nov 2023
Promise:Prompt-driven 3D Medical Image Segmentation Using Pretrained Image Foundation Models Hao Li Han Liu Dewei Hu Jiacheng Wang I. Oguz MedIm 20 19 0 30 Oct 2023
FaultSeg Swin-UNETR: Transformer-Based Self-Supervised Pretraining Model for Fault Recognition Zeren Zhang Ran Chen Jinwen Ma ViT 13 0 0 27 Oct 2023
PET Synthesis via Self-supervised Adaptive Residual Estimation Generative Adversarial Network Yuxin Xue Lei Bi Yige Peng M. Fulham David Dagan Feng Jinman Kim MedIm 17 4 0 24 Oct 2023
EViT: An Eagle Vision Transformer with Bi-Fovea Self-Attention Yulong Shi Mingwei Sun Yongshuai Wang Hui Sun Zengqiang Chen 31 4 0 10 Oct 2023
Data efficient deep learning for medical image analysis: A survey Suruchi Kumari Pravendra Singh 37 12 0 10 Oct 2023
FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis Raman Dutt Ondrej Bohdal Sotirios A. Tsaftaris Timothy M. Hospedales 16 14 0 08 Oct 2023
TransCC: Transformer Network for Coronary Artery CCTA Segmentation Chenchu Xu Meng Li Xue Wu ViT MedIm 22 1 0 07 Oct 2023
AG-CRC: Anatomy-Guided Colorectal Cancer Segmentation in CT with Imperfect Anatomical Knowledge Rongzhao Zhang Zhian Bai Ruoying Yu Wenrao Pang Lingyun Wang Lifeng Zhu Xiaofan Zhang Huan Zhang Weiguo Hu 28 1 0 07 Oct 2023
Self-Supervised Neuron Segmentation with Multi-Agent Reinforcement Learning Yinda Chen Wei Huang Shenglong Zhou Qi Chen Zhiwei Xiong 28 25 0 06 Oct 2023
Aorta Segmentation from 3D CT in MICCAI SEG.A. 2023 Challenge Andriy Myronenko Dong Yang Yufan He Daguang Xu 17 3 0 06 Oct 2023
Automated 3D Segmentation of Kidneys and Tumors in MICCAI KiTS 2023 Challenge Andriy Myronenko Dong Yang Yufan He Daguang Xu 20 10 0 06 Oct 2023
Consistency Regularization Improves Placenta Segmentation in Fetal EPI MRI Time Series Yingcheng Liu Neerav Karani Neel Dey S. M. Abulnaga Junshen Xu P. E. Grant Esra Abaci Turk Polina Golland 21 0 0 05 Oct 2023
Keypoint-Augmented Self-Supervised Learning for Medical Image Segmentation with Limited Annotation Zhangsihao Yang Mengwei Ren Kaize Ding Guido Gerig Yalin Wang SSL 18 5 0 02 Oct 2023
Self-distilled Masked Attention guided masked image modeling with noise Regularized Teacher (SMART) for medical image analysis Jue Jiang Aneesh Rangnekar Chloe Min Seo Choi H. Veeraraghavan MedIm 16 0 0 02 Oct 2023
DeformUX-Net: Exploring a 3D Foundation Backbone for Medical Image Segmentation with Depthwise Deformable Convolution Ho Hin Lee Quan Liu Qi Yang Xin Yu Shunxing Bao Yuankai Huo Bennett A. Landman MedIm 17 2 0 30 Sep 2023
Style Transfer and Self-Supervised Learning Powered Myocardium Infarction Super-Resolution Segmentation Lichao Wang Jiahao Huang Xiaodan Xing Yinzhe Wu R. Rajakulasingam Andrew D. Scott Pedro F. Ferreira Ranil De Silva S. Nielles-Vallespin Guang Yang MedIm SupR 11 0 0 27 Sep 2023
Towards Foundation Models Learned from Anatomy in Medical Imaging via Self-Supervision M. Taher Michael B. Gotway Jianming Liang MedIm 19 11 0 27 Sep 2023
MA-SAM: Modality-agnostic SAM Adaptation for 3D Medical Image Segmentation Cheng Chen Juzheng Miao Dufan Wu Zhiling Yan Sekeun Kim ... Lichao Sun Xiang Li Tianming Liu Pheng-Ann Heng Quanzheng Li MedIm 51 58 0 16 Sep 2023
UniBrain: Universal Brain MRI Diagnosis with Hierarchical Knowledge-enhanced Pre-training Jiayu Lei Lisong Dai Haoyun Jiang Chaoyi Wu Xiaoman Zhang ... Weidi Xie Yanyong Zhang Yuehua Li Ya-Qin Zhang Yanfeng Wang 18 10 0 13 Sep 2023
Enhancing Hierarchical Transformers for Whole Brain Segmentation with Intracranial Measurements Integration Xin Yu Yucheng Tang Qi Yang Ho Hin Lee Shunxing Bao Yuankai Huo Bennett A. Landman 14 1 0 08 Sep 2023
A Survey of the Impact of Self-Supervised Pretraining for Diagnostic Tasks with Radiological Images Blake Vanberlo Jesse Hoey Alexander Wong SSL LM&MA 18 2 0 05 Sep 2023
AutoProSAM: Automated Prompting SAM for 3D Multi-Organ Segmentation Chengyin Li Prashant Khanduri Yao Qiang Rafi Ibn Sultan I. Chetty D. Zhu MedIm 69 13 0 28 Aug 2023
Dense Error Map Estimation for MRI-Ultrasound Registration in Brain Tumor Surgery Using Swin UNETR Soorena Salari Amir Rasoulian H. Rivaz Yiming Xiao OOD 12 0 0 21 Aug 2023
Self-Supervised Pre-Training with Contrastive and Masked Autoencoder Methods for Dealing with Small Datasets in Deep Learning for Medical Imaging Daniel Wolf Tristan Payer C. Lisson C. Lisson Meinrad Beer Michael Götz Timo Ropinski 27 15 0 12 Aug 2023
A Hierarchical Descriptor Framework for On-the-Fly Anatomical Location Matching between Longitudinal Studies H. Yerebakan Y. Shinagawa Mahesh Ranganath Simon Allen-Raffl G. Hermosillo MedIm 17 2 0 11 Aug 2023