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Article
Open AccessThe association of circulating endocannabinoids with neuroimaging and blood biomarkers of neuro-injury
Preclinical studies highlight the importance of endogenous cannabinoids (endocannabinoids; eCBs) in neurodegeneration. Yet, prior observational studies focused on limited outcome measures and assessed only few...
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Article
Open AccessLower novelty-related locus coeruleus function is associated with Aβ-related cognitive decline in clinically healthy individuals
Animal and human imaging research reported that the presence of cortical Alzheimer’s Disease’s (AD) neuropathology, beta-amyloid and neurofibrillary tau, is associated with altered neuronal activity and circui...
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Article
Open AccessAssociation of cortical microstructure with amyloid-β and tau: impact on cognitive decline, neurodegeneration, and clinical progression in older adults
Noninvasive biomarkers of early neuronal injury may help identify cognitively normal individuals at risk of develo** Alzheimer’s disease (AD). A recent diffusion-weighted imaging (DWI) method allows assessin...
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Article
Open AccessBrain SegNet: 3D local refinement network for brain lesion segmentation
MR images (MRIs) accurate segmentation of brain lesions is important for improving cancer diagnosis, surgical planning, and prediction of outcome. However, manual and accurate segmentation of brain lesions fro...
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Chapter and Conference Paper
Representation Sharing for Fast Object Detector Search and Beyond
Region Proposal Network (RPN) provides strong support for handling the scale variation of objects in two-stage object detection. For one-stage detectors which do not have RPN, it is more demanding to have powe...
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Chapter and Conference Paper
Dual-Stream Pyramid Registration Network
We propose a Dual-Stream Pyramid Registration Network (referred as Dual-PRNet) for unsupervised 3D medical image registration. Unlike recent CNN-based registration approaches, such as VoxelMorph, which explore...
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Chapter and Conference Paper
Deep Metric Learning with Hierarchical Triplet Loss
We present a novel hierarchical triplet loss (HTL) capable of automatically collecting informative training samples (triplets) via a defined hierarchical tree that encodes global context information. This allo...
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Chapter and Conference Paper
CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images
We present a simple yet efficient approach capable of training deep neural networks on large-scale weakly-supervised web images, which are crawled raw from the Internet by using text queries, without any human...
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Chapter and Conference Paper
Combinable Tabs: An Interactive Method of Information Comparison Using a Combinable Tabbed Document Interface
The Tabbed Document Interface (“TDI”) of today’s web browsers is widely considered to be a usability improvement over the previously predominate Single Document Interface (“SDI”). TDI styled interfaces however...
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Chapter
A Real-Time Vision Interface Based on Gaze Detection — EyeKeys
