Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Maziyar Baran Pouyan"'
Publikováno v:
Bioinformatics
Motivation Single-cell RNA-seq analysis has emerged as a powerful tool for understanding inter-cellular heterogeneity. Due to the inherent noise of the data, computational techniques often rely on dimensionality reduction (DR) as both a pre-processin
MotivationSingle-cell RNA-seq analysis has emerged as a powerful tool for understanding inter-cellular heterogeneity. Due to the inherent noise of the data, computational techniques often rely on dimensionality reduction (DR) as both a pre-processing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::043faaae4aac326c5557be537a32bd7f
https://doi.org/10.1101/2020.01.31.927921
https://doi.org/10.1101/2020.01.31.927921
Autor:
Maziyar Baran Pouyan, Cynthia Partida, Van N. Selby, Liviu Klein, James M. Rehg, Georg Wieselthaler, Beren Semiz, Omer T. Inan, Leticia Blazquez-Arroyo, Sinan Hersek
Publikováno v:
IEEE J Biomed Health Inform
IEEE journal of biomedical and health informatics, vol 24, iss 7
IEEE journal of biomedical and health informatics, vol 24, iss 7
Objective: Left ventricular assist devices (LVADs) fail in up to 10% of patients due to the development of pump thrombosis. Remote monitoring of patients with LVADs can enable early detection and, subsequently, treatment and prevention of pump thromb
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ebd0b78f60283b074b1346c688345da0
https://europepmc.org/articles/PMC7380556/
https://europepmc.org/articles/PMC7380556/
Autor:
Maziyar Baran Pouyan, Dennis Kostka
Publikováno v:
Bioinformatics
Motivation Genome-wide transcriptome sequencing applied to single cells (scRNA-seq) is rapidly becoming an assay of choice across many fields of biological and biomedical research. Scientific objectives often revolve around discovery or characterizat
Autor:
Caitlin N. Teague, Paul Wolkoff, Mindy L. Millard-Stafford, Omer T. Inan, Geza F. Kogler, Maziyar Baran Pouyan, Sinan Hersek, Michael N. Sawka
Publikováno v:
IEEE Transactions on Biomedical Engineering. 65:1291-1300
OBJECTIVE: To study knee acoustical emission patterns in subjects with acute knee injury immediately following injury and several months after surgery and rehabilitation. METHODS: We employed an unsupervised graph mining algorithm to visualize hetero
Publikováno v:
Computers in Biology and Medicine. 82:49-58
Electroencephalography (EEG) is an essential component in evaluation of epilepsy. However, full-channel EEG signals recorded from 18 to 23 electrodes on the scalp is neither wearable nor computationally effective. This paper presents advantages of bo
Autor:
Andy E. Fano, Maziyar Baran Pouyan, Michael Cafarella, Elena Eneva, Gregory DeAngelo, Saeideh Shahrokh Esfahani
Publikováno v:
ACL (1)
Human trafficking is a worldwide crisis. Traffickers exploit their victims by anonymously offering sexual services through online advertisements. These ads often contain clues that law enforcement can use to separate out potential trafficking cases f
Publikováno v:
Computers in Biology and Medicine. 75:98-108
Pressure ulcers (PUs) are common among vulnerable patients such as elderly, bedridden and diabetic. PUs are very painful for patients and costly for hospitals and nursing homes. Assessment of sleeping parameters on at-risk limbs is critical for ulcer
Publikováno v:
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society. 26(3)
In this paper, we investigate the effects of increasing mechanical stress on the knee joints by recording knee acoustical emissions and analyze them using an unsupervised graph mining algorithm. We placed miniature contact microphones on four differe
Autor:
Sean Dowling, A. Ozan Bicen, J. Alex Heller, Maziyar Baran Pouyan, Omer T. Inan, Alexis Dorier, Teresa De Marco, Shuvo Roy, Liviu Klein, Abdul Q. Javaid, Mozziyar Etemadi
Publikováno v:
Circulation. Heart failure, vol 11, iss 1
Background Remote monitoring of patients with heart failure (HF) using wearable devices can allow patient-specific adjustments to treatments and thereby potentially reduce hospitalizations. We aimed to assess HF state using wearable measurements of e