Results 31 to 40 of about 3,346,828 (261)

Sparse self-attention aggregation networks for neural sequence slice interpolation

open access: yesBioData Mining, 2021
Background Microscopic imaging is a crucial technology for visualizing neural and tissue structures. Large-area defects inevitably occur during the imaging process of electron microscope (EM) serial slices, which lead to reduced registration and semantic
Zejin Wang   +4 more
doaj   +1 more source

Central Nervous System Tumors Among Infants in Canada: A Report From CYP‐C

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Central nervous system (CNS) tumors in infants are rare, pose unique clinical challenges, and lack large‐scale evidence‐based data to guide management. This study seeks to describe CNS tumors in Canadian infants and to compare their outcomes with those of older children.
Samuel Sassine   +17 more
wiley   +1 more source

Empathetic Deep Learning: Transferring Adult Speech Emotion Models to Children With Gender-Specific Adaptations Using Neural Embeddings

open access: yesHuman-Centric Intelligent Systems
Understanding and recognizing emotional states through speech has vast implications in areas ranging from customer service to mental health. In this paper, we investigate the relationship between adults and children for the task of automatic speech ...
Elina Lesyk   +5 more
doaj   +1 more source

An Improved Extrapolation Scheme for Truncated CT Data Using 2D Fourier-Based Helgason-Ludwig Consistency Conditions

open access: yesInternational Journal of Biomedical Imaging, 2017
We improve data extrapolation for truncated computed tomography (CT) projections by using Helgason-Ludwig (HL) consistency conditions that mathematically describe the overlap of information between projections. First, we theoretically derive a 2D Fourier
Yan Xia   +5 more
doaj   +1 more source

High-order circular derivative pattern for image representation and recognition

open access: yes, 2010
Micropattern based image representation and recognition, e.g. Local Binary Pattern (LBP), has been proved successful over the past few years due to its advantages of illumination tolerance and computational efficiency. However, LBP only encodes the first-
Caelli, T   +11 more
core   +1 more source

Comparative Drug Response Profiling in Neuroblastoma Cell Lines and Patient‐Derived Tumor Organoids

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT High‐risk neuroblastoma remains a leading cause of pediatric cancer mortality, and improved preclinical models are needed to guide therapeutic developments. We screened seven high‐risk neuroblastoma cell lines and three patient‐derived tumor organoids with 528 compounds alongside bone marrow controls, and compared them with external datasets ...
Krzysztof Wierbiłowicz   +12 more
wiley   +1 more source

Generating Alzheimer’s narratives using large language models

open access: yesBMC Medical Informatics and Decision Making
Background Analyzing semi-spontaneous speech is a promising direction for supporting Alzheimer’s disease (AD) assessment, yet progress is limited by the scarcity of annotated clinical data. Large Language Models (LLMs) offer new opportunities to generate
Paula Andrea Perez-Toro   +4 more
doaj   +1 more source

A Discrete Informational Framework for Classical Gravity: Ledger Foundations and Galaxy Rotation Curve Constraints

open access: yesEntropy
The weak-field, quasi-static regime of gravity is commonly described by the Newton–Poisson equation as an effective response law. We construct this response within a cost-first discrete variational framework.
Megan Simons   +2 more
doaj   +1 more source

Aster glehni F. Schmidt Extract Modulates the Activities of HMG-CoA Reductase and Fatty Acid Synthase

open access: yesPlants, 2021
Aster glehni F. Schmidt (AG), is a natural product known to have anti-obesity effects, but the mechanism underlying these effects is not well documented. We hypothesized that AG may have inhibitory effects on enzymes related to lipid accumulation. Herein,
Hyunbeom Lee   +4 more
doaj   +1 more source

Keypoint induced distance profiles for visual recognition

open access: yes, 2009
We show that histograms of keypoint descriptor distances can make useful features for visual recognition. Descriptor distances are often exhaustively computed between sets of keypoints, but besides finding the k-smallest distances the structure of the ...
Tat-Jun Chin   +5 more
core   +1 more source

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