Results 61 to 70 of about 738,874 (266)

Soft-labelling for budget-constrained semantic segmentation: Bringing coherence to label down-sampling

Computational Visual Media
In semantic segmentation, training data down-sampling is commonly performed due to resource limitations, the need to adapt image size to the model input, or to improve data augmentation.
Roberto Alcover-Couso, Marcos Escudero-Viñolo, Juan C. SanMiguel, José M. Martinez   +3 more
doaj   +1 more source

Fortunoff Video Archive: New Initiatives for a New Digital Archive

Umanistica Digitale, 2019
The Fortunoff Archive recently completed a number of important milestones including the digitization of its entire collection, the development of a digital access system, migration of legacy metadata, and the launch of a partner site program that ...
Kevin Glick, Stephen Naron
doaj   +1 more source

Added Prognostic Value of EEG Reactivity in Comatose Patients Following Cardiac Arrest

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives To evaluate the added prognostic value of EEG reactivity for favorable outcome compared with background analysis during and after targeted temperature management (TTM). Methods Prospective observational cohort study of comatose post–cardiac arrest patients admitted to a single academic center between 2017 and 2022, all undergoing ...
Sarah Caroyer, Marie Obrecht, Charlotte de Maeseneire, Charlotte Damien, Chantal Depondt, Lorenzo Ferlini, Estelle Rikir, Filippo Annoni, Fabio Silvio Taccone, Nicolas Mavroudakis, Benjamin Legros, Nicolas Gaspard   +11 more
wiley   +1 more source

A Machine Learning Approach for Path Loss Prediction Using Combination of Regression and Classification Models

Sensors
One of the key parameters in radio link planning is the propagation path loss. Most of the existing methods for its prediction are not characterized by a good balance between accuracy, generality, and low computational complexity. To address this problem,
Ilia Iliev, Yuliyan Velchev, Peter Z. Petkov, Boncho Bonev, Georgi Iliev, Ivaylo Nachev   +5 more
doaj   +1 more source

Problematic Internet Use in Frontotemporal Dementia: A Case Series

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT The present study investigated problematic internet use (PIU) among 61 patients with frontotemporal dementia (FTD) compared to a cohort of 354 patients with mild cognitive impairment (MCI) and Alzheimer's dementia. PIU was identified in 22.9% of FTD patients compared to only 0.8% of AD patients (p < 0.001). Behaviors included compulsive social
Daniele Urso, Giuseppe Volpe, Agnese Valguarnera, Davide Vilella, Alessandra Vitulli, Valentina Gnoni, Alessia Giugno, Eleonora Rollo, Mark D. Griffiths, Giancarlo Logroscino   +9 more
wiley   +1 more source

A Hierarchical Framework Combining Motion and Feature Information for Infrared-Visible Video Registration

Sensors, 2017
In this paper, we propose a novel hierarchical framework that combines motion and feature information to implement infrared-visible video registration on nearly planar scenes.
Xinglong Sun, Tingfa Xu, Jizhou Zhang, Xiangmin Li   +3 more
doaj   +1 more source

Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig, Nadav Amir, Maya Schiller, Roni Loebenstein, Johnatan Nissan, Marina Boxer, Shany Guly Gofrit, Gal Goshen, Sándor Beniczky, Nicola Maggio   +9 more
wiley   +1 more source

Deterministic pilot pattern allocation optimization for sparse channel estimation based on CS theory in OFDM system

EURASIP Journal on Wireless Communications and Networking, 2019
Compressed sensing (CS)-based sparse channel estimation requires the sensing matrix with the minimum mutual coherence (MC), and its corresponding pilot pattern obtain optimal estimation performance.
Yang Nie, Xinle Yu, Zhanxin Yang
doaj   +1 more source

Evaluation of Digital Technologies for Home‐Based Assessment in People With Amyotrophic Lateral Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Digital technologies hold promise for transforming healthcare by enhancing personalized treatments and offer valuable opportunities to improve patient care. Here, we evaluated several novel, self‐administered, home‐based, digital endpoints for their association with corresponding conventional standard clinical measures (primary) in ...
Arne Mueller, Vanessa Vallejo, Mónica Povedano Panadés, Orla Hardiman, Véronique Danel‐Brunaud, Senda Ajroud‐Driss, Philippe Couratier, Jeremy Shefner, Anna Gokey, Mike DiCesare, Erin Lennox, Jens Praestgaard, Lucie Brujin, Peggy Allred, Ram Miller   +14 more
wiley   +1 more source

Unraveling 4‐Phenylbutyrate's Therapeutic Role in SLC6A1 Disorders: Pharmacochaperoning Over HDAC Inhibition

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Variants in SLC6A1, encoding the GABA transporter 1 (GAT‐1), cause epilepsy, autism spectrum disorder, and developmental delay via loss of GABA uptake, impaired trafficking, and ER retention. We previously found that 4‐Phenylbutyrate (PBA), an FDA‐approved drug, restores GABA uptake and reduces seizures in SLC6A1‐related disorders ...
Melissa B. DeLeeuw, Karishma Randhave, Ekta Anand, Ziang (Debbie) Song, Wangzhen Shen, Jing‐Qiong Kang   +5 more
wiley   +1 more source