Results 11 to 20 of about 119,026 (335)

Hand Gesture Recognition of Static Letters American Sign Language (ASL) Using Deep Learning [PDF]

Engineering and Technology Journal, 2020
An American Sign Language (ASL) is a complex language. It is depending on the special gesture stander of marks. These marks are represented by hands with assistance by facial expression and body posture. ASL is the main communication language of deaf and
Abdulwahab Abdulhussein, Firas Raheem
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, Marco Castellaro, Thomas W. Okell, David L. Thomas, Pieter Vandemaele, Sara Elgayar, Aaron Oliver-Taylor, Thomas Kirk, Joseph G. Woods, Sjoerd B. Vos, Joost P. A. Kuijer, Eric Achten, Matthias J. P. van Osch, BIDS maintainers, John A. Detre, Hanzhang Lu, David C. Alsop, Michael A. Chappell, Luis Hernandez-Garcia, Jan Petr, Henk J. M. M. Mutsaerts   +20 more
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Cerebrovascular reactivity measurements using simultaneous 15O-water PET and ASL MRI: Impacts of arterial transit time, labeling efficiency, and hematocrit

NeuroImage, 2021
Cerebrovascular reactivity (CVR) reflects the capacity of the brain to meet changing physiological demands and can predict the risk of cerebrovascular diseases.
Moss Y Zhao, Audrey P Fan, David Yen-Ting Chen, Magdalena J. Sokolska, Jia Guo, Yosuke Ishii, David D Shin, Mohammad Mehdi Khalighi, Dawn Holley, Kim Halbert, Andrea Otte, Brittney Williams, Taghi Rostami, Jun-Hyung Park, Bin Shen, Greg Zaharchuk   +15 more
doaj   +2 more sources

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, Jan Petr, Jan Petr, Mathijs B. J. Dijsselhof, Mathijs B. J. Dijsselhof, Beatriz Padrela, Beatriz Padrela, Maurice Pasternak, Sudipto Dolui, Lina Jarutyte, Nandor Pinter, Nandor Pinter, Nandor Pinter, Luis Hernandez-Garcia, Andrew Jahn, Joost P. A. Kuijer, Frederik Barkhof, Frederik Barkhof, Frederik Barkhof, Henk J. M. M. Mutsaerts, Henk J. M. M. Mutsaerts, Henk J. M. M. Mutsaerts, Henk J. M. M. Mutsaerts, Vera C. Keil, Vera C. Keil, Vera C. Keil   +25 more
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Recent progress in ASL [PDF]

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, Anish Lahiri, Jonas Schollenberger   +2 more
openaire   +3 more sources

ASL‐MRICloud: An online tool for the processing of ASL MRI data [PDF]

NMR in Biomedicine, 2018
Arterial spin labeling (ASL) MRI is increasingly used in research and clinical settings. The purpose of this work is to develop a cloud‐based tool for ASL data processing, referred to as ASL‐MRICloud, which may be useful to the MRI community. In contrast to existing ASL toolboxes, which are based on software installation on the user's local computer ...
Yang Li, Peiying Liu, Yue Li, Hongli Fan, Pan Su, Shin‐Lei Peng, Denise C. Park, Karen M. Rodrigue, Hangyi Jiang, Andreia V. Faria, Can Ceritoglu, Michael Miller, Susumu Mori, Hanzhang Lu   +13 more
openaire   +3 more sources

ASL Metabolically Regulates Tyrosine Hydroxylase in the Nucleus Locus Coeruleus

Cell Reports, 2019
Summary: Patients with germline mutations in the urea-cycle enzyme argininosuccinate lyase (ASL) are at risk for developing neurobehavioral and cognitive deficits. We find that ASL is prominently expressed in the nucleus locus coeruleus (LC), the central
Shaul Lerner, Elmira Anderzhanova, Sima Verbitsky, Raya Eilam, Yael Kuperman, Michael Tsoory, Yuri Kuznetsov, Alexander Brandis, Tevie Mehlman, Ram Mazkereth, Robert McCarter, Menahem Segal, Sandesh C.S. Nagamani, Alon Chen, Ayelet Erez, Fabienne Dietrich Alber, Talin Babikian, Heidi Bender, Christopher Boys, David Breiger, Corinna Buerger, Peter Burgard, Mina Nguyen-Driver, Benjamin Goodlett, Elizabeth Kerr, Casey Krueger, Eva Mamak, Jacqueline H. Sanz, David Schwartz, Susan Caudle, Arianna Stefanos, Rachel Tangen, Magdalena Walter, Susan Waisbren, Greta Wilkening   +34 more
doaj   +2 more sources

Diffuse glioma perfusion quantification with ASL and DSC: a head-to-head comparison with 15O-H2O PET [PDF]

Frontiers in Oncology
Background and purposeArterial spin labeling (ASL) is a non-invasive alternative to dynamic susceptibility contrast (DSC) for measuring cerebral blood flow (CBF), even though both methods measure slightly different contrast.
Jan Petr, Jan Petr, Niels Verburg, Niels Verburg, Joost P. A. Kuijer, Thomas Koopman, Vera C. Keil, Esther A. H. Warnert, Frederik Barkhof, Frederik Barkhof, Joerg van den Hoff, Ronald Boellaard, Philip C. De Witt Hamer, Philip C. De Witt Hamer, Henk J. M. M. Mutsaerts   +14 more
doaj   +2 more sources

The Development and Evaluation of a New ASL Text Comprehension Task

Frontiers in Communication, 2020
Being able to comprehend a language entails not only mastery of its syntax, lexicon, or phonology, but also the ability to use language to construct meaning, draw inferences, and make connections to world knowledge. However, most available assessments of
Amy M Lieberman, Patrick Rosenburg, Naomi Caselli   +2 more
exaly   +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, Garrett Tanzer, Manfred Georg   +2 more
semanticscholar   +1 more source