LAUSR

A dual-stream deep convolutional network for reducing metal streak artifacts in CT images.

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1 Published in 2019 at "Physics in medicine and biology"

DOI: 10.1088/1361-6560/ab4e3e

Abstract: Machine learning and deep learning are rapidly finding applications in the medical imaging field. In this paper, we address the long-standing problem of metal artifacts in computed tomography (CT) images by training a dual-stream deep… read more here.

Keywords: stream deep; network; stream; metal ... See more keywords

Extensive Cortical Connectivity of the Human Hippocampal Memory System: Beyond the "What" and "Where" Dual Stream Model.

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1 Published in 2021 at "Cerebral cortex"

DOI: 10.1093/cercor/bhab113

Abstract: The human hippocampus is involved in forming new memories: damage impairs memory. The dual stream model suggests that object "what" representations from ventral stream temporal cortex project to the hippocampus via the perirhinal and then… read more here.

Keywords: stream; cortex; stream model; memory ... See more keywords

Dual-stream cortical pathways mediate sensory prediction.

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2 Published in 2023 at "Cerebral cortex"

DOI: 10.1093/cercor/bhad168

Abstract: Predictions are constantly generated from diverse sources to optimize cognitive functions in the ever-changing environment. However, the neural origin and generation process of top-down induced prediction remain elusive. We hypothesized that motor-based and memory-based predictions… read more here.

Keywords: stream cortical; prediction; sensory prediction; memory ... See more keywords

MoADNet: Mobile Asymmetric Dual-Stream Networks for Real-Time and Lightweight RGB-D Salient Object Detection

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2 Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"

DOI: 10.1109/tcsvt.2022.3180274

Abstract: RGB-D Salient Object Detection (RGB-D SOD) aims at detecting remarkable objects by complementary information from RGB images and depth cues. Although many outstanding prior arts have been proposed for RGB-D SOD, most of them focus… read more here.

Keywords: rgb salient; salient object; rgb; dual stream ... See more keywords

Dual-Stream Convolutional Neural Network With Residual Information Enhancement for Pansharpening

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1 Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2021.3098752

Abstract: Deep-learning-based pansharpening methods have achieved remarkable results due to their powerful feature representation ability. However, the existing deep-learning-based pansharpening methods not only lack information exchange and sharing between features of different resolutions but also cannot… read more here.

Keywords: information; network; stream convolutional; residual information ... See more keywords

Semi-Supervised Dual Stream Segmentation Network for Fundus Lesion Segmentation

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1 Published in 2022 at "IEEE Transactions on Medical Imaging"

DOI: 10.1109/tmi.2022.3215580

Abstract: Accurate segmentation of retinal images can assist ophthalmologists to determine the degree of retinopathy and diagnose other systemic diseases. However, the structure of the retina is complex, and different anatomical structures often affect the segmentation… read more here.

Keywords: network; stream segmentation; segmentation; dual stream ... See more keywords

A dual-stream centerline-guided network for segmentation of the common and internal carotid arteries from 3D ultrasound images.

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2 Published in 2023 at "IEEE transactions on medical imaging"

DOI: 10.1109/tmi.2023.3263537

Abstract: Segmentation of the carotid section encompassing the common carotid artery (CCA), the bifurcation and the internal carotid artery (ICA) from three-dimensional ultrasound (3DUS) is required to measure the vessel wall volume (VWV) and localized vessel-wall-plus-plaque… read more here.

Keywords: network; centerline; carotid; internal carotid ... See more keywords

Dual-Stream Multiple Instance Learning for Depression Detection With Facial Expression Videos

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2 Published in 2022 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"

DOI: 10.1109/tnsre.2022.3204757

Abstract: Depression is a common mental illness which has brought great harm to the individuals. With recent evidence that many objective physiological signals are associated with depression, automated detection of depression is urgent and important for… read more here.

Keywords: multiple instance; depression; instance learning; detection ... See more keywords