Zobrazeno 1 - 10
of 82
pro vyhledávání: '"Mohammad M. Ghassemi"'
Autor:
Hassan Bagher-Ebadian, Stephen L. Brown, Mohammad M. Ghassemi, Tavarekere N. Nagaraja, Benjamin Movsas, James R. Ewing, Indrin J. Chetty
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-23 (2023)
Abstract Here, we investigate radiomics-based characterization of tumor vascular and microenvironmental properties in an orthotopic rat brain tumor model measured using dynamic-contrast-enhanced (DCE) MRI. Thirty-two immune compromised-RNU rats impla
Externí odkaz:
https://doaj.org/article/423beb6312a542469a6b348ae770a43f
Autor:
Hassan Bagher-Ebadian, Stephen L. Brown, Mohammad M. Ghassemi, Tavarekere N. Nagaraja, Olivia Grahm Valadie, Prabhu C. Acharya, Glauber Cabral, George Divine, Robert A. Knight, Ian Y. Lee, Jun H. Xu, Benjamin Movsas, Indrin J. Chetty, James R. Ewing
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-16 (2023)
Abstract We introduce and validate four adaptive models (AMs) to perform a physiologically based Nested-Model-Selection (NMS) estimation of such microvascular parameters as forward volumetric transfer constant, Ktrans, plasma volume fraction, vp, and
Externí odkaz:
https://doaj.org/article/0ad2bbaeea014e0faf2ee47c285e3573
Publikováno v:
PLoS ONE, Vol 17, Iss 7 (2022)
We study the relationships between the real-time psychophysiological activity of professional traders, their financial transactions, and market fluctuations. We collected multiple physiological signals such as heart rate, blood volume pulse, and elec
Externí odkaz:
https://doaj.org/article/5d150b805ab44cd6b736e56c9f598c07
Publikováno v:
Frontiers in Digital Health, Vol 3 (2021)
Introduction: Developing reliable medication dosing guidelines is challenging because individual dose–response relationships are mitigated by both static (e. g., demographic) and dynamic factors (e.g., kidney function). In recent years, several dat
Externí odkaz:
https://doaj.org/article/a81846f9b8264a9c8f8c99cabaf726b2
Publikováno v:
Frontiers in Digital Health, Vol 2 (2021)
Electroencephalography (EEG) is used in the diagnosis, monitoring, and prognostication of many neurological ailments including seizure, coma, sleep disorders, brain injury, and behavioral abnormalities. One of the primary challenges of EEG data is it
Externí odkaz:
https://doaj.org/article/b7dacb9e9ec94b598494f75cd9e98880
Autor:
Jingyu eLiu, Mohammad M. Ghassemi, Andrew M Michael, David eBoutte, William eWells, Nora ePerrone-Bizzozero, Fabio eMacciardi, Daniel H Mathalon, Judith M. Ford, Steven G. Potkin, Jessica A Turner, Vince D Calhoun
Publikováno v:
Frontiers in Human Neuroscience, Vol 6 (2012)
To address the statistical challenges associated with genome-wide association studies, we present an independent component analysis (ICA) with reference approach to target a specific genetic variation and associated brain networks. First, a small set
Externí odkaz:
https://doaj.org/article/f04e348aa9e543999fa6db44aef84f9e
Autor:
Kathleen M Andersen, Farid L Khan, Peter W Park, Timothy L Wiemken, Birol Emir, Deepa Malhotra, Tuka Alhanai, Mohammad M Ghassemi, Leah J McGrath
Publikováno v:
PLoS ONE, Vol 19, Iss 4, p e0300570 (2024)
ObjectiveTo create a data-driven definition of post-COVID conditions (PCC) by directly measure changes in symptomatology before and after a first COVID episode.Materials and methodsRetrospective cohort study using Optum® de-identified Electronic Hea
Externí odkaz:
https://doaj.org/article/29538892b8224882afb50500571d2334
Autor:
Jimeng Sun, Susan T. Herman, Wei-Long Zheng, M. Brandon Westover, Mohammad M. Ghassemi, Jong Woo Lee, Adithya Sivaraju, Jin Jing, Jeannette Hofmeijer, Barry J. Ruijter, Michel J.A.M. van Putten, Wendong Ge, Marleen C. Tjepkema-Cloostermans, Shenda Hong, Ona Wu, Nicolas Gaspard, Trudy Pang, Edilberto Amorim
Publikováno v:
Resuscitation
Resuscitation, 169, 86-94. Elsevier
Resuscitation, 169, 86-94. Elsevier
Objective Electroencephalography (EEG) is an important tool for neurological outcome prediction after cardiac arrest. However, the complexity of continuous EEG data limits timely and accurate interpretation by clinicians. We develop a deep neural net
Autor:
Sharukh Lokhandwala, Ned McCague, Abdullah Chahin, Braiam Escobar, Mengling Feng, Mohammad M Ghassemi, David J Stone, Leo Anthony Celi
Publikováno v:
PLoS ONE, Vol 13, Iss 5, p e0197226 (2018)
Factors associated with one-year mortality after recovery from critical illness are not well understood. Clinicians generally lack information regarding post-hospital discharge outcomes of patients from the intensive care unit, which may be important
Externí odkaz:
https://doaj.org/article/189b4cf5887e4138a4ef34dcc892500a
Publikováno v:
International Journal of Remote Sensing. 42:4380-4410
Recently, deep learning approaches, especially convolutional neural networks (CNNs), have been employed for feature extraction (FE) and hyperspectral images (HSIs) classification. The CNN, with all...