Results 11 to 20 of about 298,773 (355)
A Beginner's Guide to Arterial Spin Labeling (ASL) Image Processing
Frontiers in Radiology, 2022 Arterial spin labeling (ASL) is a non-invasive and cost-effective MRI technique for brain perfusion measurements. While it has developed into a robust technique for scientific and clinical use, its image processing can still be daunting.
Patricia Clement +25 more
doaj +2 more sources
ASL-BIDS, the brain imaging data structure extension for arterial spin labeling
Scientific Data, 2022 Arterial spin labeling (ASL) is a non-invasive MRI technique that allows for quantitative measurement of cerebral perfusion. Incomplete or inaccurate reporting of acquisition parameters complicates quantification, analysis, and sharing of ASL data ...
Patricia Clement +20 more
doaj +2 more sources
NeuroImage, 2019 This article aims to provide the reader with an overview of recent developments in Arterial Spin Labeling (ASL) MRI techniques. A great deal of progress has been made in recent years in terms of the SNR and acquisition speed. New strategies have been introduced to improve labeling efficiency, reduce artefacts, and estimate other relevant physiological ...
Luis, Hernandez-Garcia +2 more
openaire +3 more sources
YouTube-ASL: A Large-Scale, Open-Domain American Sign Language-English Parallel Corpus [PDF]
Neural Information Processing Systems, 2023 Machine learning for sign languages is bottlenecked by data. In this paper, we present YouTube-ASL, a large-scale, open-domain corpus of American Sign Language (ASL) videos and accompanying English captions drawn from YouTube.
David C. Uthus +2 more
semanticscholar +1 more source
ASL Citizen: A Community-Sourced Dataset for Advancing Isolated Sign Language Recognition [PDF]
Neural Information Processing Systems, 2023 Sign languages are used as a primary language by approximately 70 million D/deaf people world-wide. However, most communication technologies operate in spoken and written languages, creating inequities in access.
Aashaka Desai +10 more
semanticscholar +1 more source
Mediapipe and CNNs for Real-Time ASL Gesture Recognition [PDF]
arXiv.org, 2023 This research paper describes a realtime system for identifying American Sign Language (ASL) movements that employs modern computer vision and machine learning approaches. The suggested method makes use of the Mediapipe library for feature extraction and
Rupesh Kumar +2 more
semanticscholar +1 more source
The Sem-Lex Benchmark: Modeling ASL Signs and their Phonemes [PDF]
International ACM SIGACCESS Conference on Computers and Accessibility, 2023 Sign language recognition and translation technologies have the potential to increase access and inclusion of deaf signing communities, but research progress is bottlenecked by a lack of representative data.
Lee Kezar +8 more
semanticscholar +1 more source
Diagnostic utility of ASL‐MRI and FDG‐PET in the behavioral variant of FTD and AD [PDF]
Annals of Clinical and Translational Neurology, 2016 To compare the values of arterial spin‐labeled (ASL) MRI and fluorodeoxyglucose (FDG) PET in the diagnosis of behavioral variant of frontotemporal dementia (bvFTD) and Alzheimer's disease (AD).
Duygu Tosun +8 more
openalex +2 more sources
Magnetic Resonance in Medicine, 2023 This review article provides an overview of developments for arterial spin labeling (ASL) perfusion imaging in the body (i.e., outside of the brain).
Manuel Taso +12 more
semanticscholar +1 more source
Recent Technical Developments in ASL: A Review of the State of the Art
Magnetic Resonance in Medicine, 2022 This review article provides an overview of a range of recent technical developments in advanced arterial spin labeling (ASL) methods that have been developed or adopted by the community since the publication of a previous ASL consensus paper by Alsop et
L. Hernandez-Garcia +20 more
semanticscholar +1 more source