SABOS‐Net: Self‐supervised attention based network for automatic organ segmentation of head and neck CT images
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22802
Abstract: The segmentation of Organs At Risk (OAR) in Computed Tomography (CT) images is an essential part of the planning phase of radiation treatment to avoid the adverse effects of cancer radiotherapy treatment. Accurate segmentation is… read more here.
Keywords: self supervised; segmentation; organ segmentation; head neck ... See more keywords
Semisupervised image classification by mutual learning of multiple self‐supervised models
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22814
Abstract: Image classification has been widely adopted by current social media applications. Compared with fully supervised classification, semisupervised classification attracts more attention because it is commonly observed that category labels are only available for a small… read more here.
Keywords: self supervised; image classification; image; mutual learning ... See more keywords
Self‐supervised domain adaptation for cross‐domain fault diagnosis
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DOI: 10.1002/int.23026
Abstract: Unsupervised domain adaptation‐based fault diagnosis methods have been extensively studied due to their powerful knowledge transferability under different working conditions. Despite their encouraging performance, most of them cannot sufficiently account for the temporal dimension of… read more here.
Keywords: self supervised; domain; fault diagnosis; domain adaptation ... See more keywords
Deep self‐supervised transformation learning for leukocyte classification
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DOI: 10.1002/jbio.202200244
Abstract: The scarcity of training annotation is one of the major challenges for the application of deep learning technology in medical image analysis. Recently, self‐supervised learning provides a powerful solution to alleviate this challenge by extracting… read more here.
Keywords: self supervised; self; supervised transformation; leukocyte classification ... See more keywords
Self-supervised Structural Similarity-based Convolutional Neural Network for Cardiac Diffusion Tensor Image Denoising.
Sign Up to like & getrecommendations! Published in 2023 at "Medical physics"
DOI: 10.1002/mp.16301
Abstract: BACKGROUND Diffusion tensor imaging (DTI) is a promising technique for non-invasively investigating the myocardial fiber structures of human heart. However, low signal-to-noise ratio has been a major limit of cardiac DTI to prevent us from… read more here.
Keywords: network; noise; diffusion; similarity ... See more keywords
Self-supervised denoising of projection data for low-dose cone-beam CT.
Sign Up to like & getrecommendations! Published in 2023 at "Medical physics"
DOI: 10.1002/mp.16421
Abstract: BACKGROUND Convolutional neural networks (CNNs) have shown promising results in image denoising tasks. While most existing CNN-based methods depend on supervised learning by directly mapping noisy inputs to clean targets, high-quality references are often unavailable for… read more here.
Keywords: projection; supervised learning; cone beam; self supervised ... See more keywords
Motion compensated self supervised deep learning for highly accelerated 3D ultrashort Echo time pulmonary MRI
Sign Up to like & getrecommendations! Published in 2022 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.29586
Abstract: To investigate motion compensated, self‐supervised, model based deep learning (MBDL) as a method to reconstruct free breathing, 3D pulmonary UTE acquisitions. read more here.
Keywords: self supervised; compensated self; motion compensated; deep learning ... See more keywords
Primitive-contrastive network: data-efficient self-supervised learning from robot demonstration videos
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DOI: 10.1007/s10489-021-02527-8
Abstract: Due to the costly collection of expert demonstrations for robots, robot imitation learning suffers from the demonstration-insufficiency problem. A promising solution to this problem is self-supervised learning that leverages pretext tasks to extract general and… read more here.
Keywords: primitive contrastive; self supervised; supervised learning; contrastive network ... See more keywords
Self-supervised Monocular Trained Depth Estimation Using Triplet Attention and Funnel Activation
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DOI: 10.1007/s11063-021-10608-5
Abstract: Dense depth estimation based on a single image is a basic problem in computer vision and has exciting applications in many robotic tasks. Modelling fully supervised methods requires the acquisition of accurate and large ground… read more here.
Keywords: self supervised; estimation; depth estimation; triplet attention ... See more keywords
Self-supervised CT super-resolution with hybrid model.
Sign Up to like & getrecommendations! Published in 2021 at "Computers in biology and medicine"
DOI: 10.1016/j.compbiomed.2021.104775
Abstract: Software-based methods can improve CT spatial resolution without changing the hardware of the scanner or increasing the radiation dose to the object. In this work, we aim to develop a deep learning (DL) based CT… read more here.
Keywords: resolution; self supervised; super resolution; sadir net ... See more keywords
Self-supervised bi-classifier adversarial transfer network for cross-domain fault diagnosis of rotating machinery.
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DOI: 10.1016/j.isatra.2022.03.008
Abstract: In real industrial scenarios, deep learning-based fault diagnosis has been a popular topic lately. Unfortunately, the source-trained model typically usually underperforms in target domain owning to changeable working conditions. To resolve this problem, a novel… read more here.
Keywords: self supervised; domain; fault diagnosis;