Accelerating multi‐echo chemical shift encoded water–fat MRI using model‐guided deep learning
Sign Up to like & getrecommendations! Published in 2022 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.29307
Abstract: To accelerate chemical shift encoded (CSE) water–fat imaging by applying a model‐guided deep learning water–fat separation (MGDL‐WF) framework to the undersampled k‐space data. read more here.
Keywords: chemical shift; model guided; water; guided deep ... See more keywords
Reference-guided deep deblurring via a selective attention network
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DOI: 10.1007/s10489-021-02585-y
Abstract: Image deblurring is an important problem encountered in many image restoration tasks. To remove the motion blur of images captured from dynamic scenes, various Convolutional Neural Networks (CNNs) based methods are developed to restore the… read more here.
Keywords: selective attention; image; guided deep; reference ... See more keywords
Learning to Recognize Thoracic Disease in Chest X-Rays With Knowledge-Guided Deep Zoom Neural Networks
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3020579
Abstract: Automatic and accurate thorax disease diagnosis in Chest X-ray (CXR) image plays an essential role in clinical assist analysis. However, due to its imaging noise regions and the similarity of visual features between diseases and… read more here.
Keywords: guided deep; region; knowledge guided; disease ... See more keywords
Adaptive Multimodal Fusion With Attention Guided Deep Supervision Net for Grading Hepatocellular Carcinoma
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2022.3161466
Abstract: Multimodal medical imaging plays a crucial role in the diagnosis and characterization of lesions. However, challenges remain in lesion characterization based on multimodal feature fusion. First, current fusion methods have not thoroughly studied the relative… read more here.
Keywords: fusion; deep supervision; multimodal fusion; attention guided ... See more keywords
RNMF-Guided Deep Network for Signal Separation of GPR Without Labeled Data
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3099161
Abstract: The clutter encountered in the ground-penetrating radar (GPR) system severely obscures the visibility of subsurface objects, especially in the case of overlapping target responses and clutter. In this letter, a novel self-supervised learning strategy with… read more here.
Keywords: rnmf guided; gpr; guided deep; deep network ... See more keywords
Saliency-Guided Deep Neural Networks for SAR Image Change Detection
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2019.2913095
Abstract: Change detection is an important task to identify land-cover changes between the acquisitions at different times. For synthetic aperture radar (SAR) images, inherent speckle noise of the images can lead to false changed points, which… read more here.
Keywords: guided deep; change detection; image; saliency guided ... See more keywords
User-Guided Deep Human Image Matting Using Arbitrary Trimaps
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3150295
Abstract: Image matting is widely studied for accurate foreground extraction. Most algorithms, including deep-learning based solutions, require a carefully edited trimap. Recent works attempt to combine the segmentation stage and matting stage in one CNN model,… read more here.
Keywords: guided deep; user guided; image matting; model ... See more keywords
Morphology-guided deep learning framework for segmentation of pancreas in computed tomography images
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Medical Imaging"
DOI: 10.1117/1.jmi.9.2.024002
Abstract: Abstract. Purpose: Accurate segmentation of the pancreas using abdominal computed tomography (CT) scans is a prerequisite for a computer-aided diagnosis system to detect pathologies and perform quantitative assessment of pancreatic disorders. Manual outlining of the… read more here.
Keywords: segmentation pancreas; computed tomography; guided deep; morphology guided ... See more keywords