Self-supervised 3D anatomy segmentation using self-distilled masked image transformer (SMIT)

20 May 2022

Papers citing "Self-supervised 3D anatomy segmentation using self-distilled masked image transformer (SMIT)"

23 / 23 papers shown

Title
Deep Learning Approaches for Medical Imaging Under Varying Degrees of Label Availability: A Comprehensive Survey Siteng Ma Honghui Du Yu An Jing Wang Qinqin Wang Haochang Wu Aonghus Lawlor Ruihai Dong 37 0 0 15 Apr 2025
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
Masked Image Modeling: A Survey Vlad Hondru Florinel-Alin Croitoru Shervin Minaee Radu Tudor Ionescu N. Sebe 64 6 0 13 Aug 2024
Dimensionality Reduction and Nearest Neighbors for Improving Out-of-Distribution Detection in Medical Image Segmentation M. Woodland Nihil Patel Austin Castelo Mais Al Taie Mohamed Eltaher ... Nakul Gupta David Victor Laura Beretta Ankit B. Patel Kristy K. Brock OOD 27 0 0 05 Aug 2024
Self-supervised learning improves robustness of deep learning lung tumor segmentation to CT imaging differences Jue Jiang Aneesh Rangnekar H. Veeraraghavan OOD 35 0 0 14 May 2024
Primitive Geometry Segment Pre-training for 3D Medical Image Segmentation Ryu Tadokoro Ryosuke Yamada Kodai Nakashima Ryo Nakamura Hirokatsu Kataoka 19 4 0 08 Jan 2024
Building Universal Foundation Models for Medical Image Analysis with Spatially Adaptive Networks Lingxiao Luo Xuanzhong Chen Bingda Tang Xinsheng Chen Rong Han Chengpeng Hu Yujiang Li Ting Chen MedIm 15 2 0 12 Dec 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
Improving diagnosis and prognosis of lung cancer using vision transformers: A scoping review Hazrat Ali Farida Mohsen Zubair Shah LM&MA MedIm 13 25 0 06 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 16 2 0 05 Sep 2023
Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image Segmentation M. Woodland Nihil Patel Mais Al Taie J. Yung T. Netherton Ankit B. Patel Kristy K. Brock OOD 30 6 0 07 Aug 2023
UniSeg: A Prompt-driven Universal Segmentation Model as well as A Strong Representation Learner Yiwen Ye Yutong Xie Jianpeng Zhang Ziyang Chen Yong-quan Xia SSL 31 40 0 07 Apr 2023
EDMAE: An Efficient Decoupled Masked Autoencoder for Standard View Identification in Pediatric Echocardiography Yiman Liu Xiaoxiang Han Tongtong Liang Bin Dong Jiajun Yuan Menghan Hu Qiaohong Liu Jiangang Chen Qingli Li Yuqi Zhang 19 5 0 27 Feb 2023
SwinCross: Cross-modal Swin Transformer for Head-and-Neck Tumor Segmentation in PET/CT Images Gary Y. Li Junyu Chen Se-In Jang Kuang Gong Quanzheng Li ViT MedIm 31 14 0 08 Feb 2023
Aerial Image Object Detection With Vision Transformer Detector (ViTDet) Liya Wang A. Tien 39 7 0 28 Jan 2023
Progressively refined deep joint registration segmentation (ProRSeg) of gastrointestinal organs at risk: Application to MRI and cone-beam CT Jue Jiang Jun Hong K. Tringale M. Reyngold C. Crane N. Tyagi H. Veeraraghavan 17 2 0 25 Oct 2022
Recent Progress in Transformer-based Medical Image Analysis Zhao-cheng Liu Qiujie Lv Ziduo Yang Yifan Li Chau Hung Lee Leizhao Shen MedIm 40 56 0 13 Aug 2022
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 21 20 0 02 Jun 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 305 7,434 0 11 Nov 2021
Preservational Learning Improves Self-supervised Medical Image Models by Reconstructing Diverse Contexts Hong-Yu Zhou Chi-Ken Lu Sibei Yang Xiaoguang Han Yizhou Yu SSL CLL 61 85 0 09 Sep 2021
Bootstrap Representation Learning for Segmentation on Medical Volumes and Sequences Zejian Chen Wei Zhuo Tianfu Wang Wufeng Xue Dong Ni 19 5 0 23 Jun 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 305 5,773 0 29 Apr 2021
Medical Transformer: Universal Brain Encoder for 3D MRI Analysis E. Jun Seungwoo Jeong Da-Woon Heo Heung-Il Suk ViT MedIm 32 42 0 28 Apr 2021