Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Parisa Forouzannezhad"'
Autor:
Hannah M. T. Thomas, Daniel S. Hippe, Parisa Forouzannezhad, Balu Krishna Sasidharan, Paul E. Kinahan, Robert S. Miyaoka, Hubert J. Vesselle, Ramesh Rengan, Jing Zeng, Stephen R. Bowen
Publikováno v:
Discover Oncology, Vol 13, Iss 1, Pp 1-12 (2022)
Abstract Background Patients undergoing chemoradiation and immune checkpoint inhibitor (ICI) therapy for locally advanced non-small cell lung cancer (NSCLC) experience pulmonary toxicity at higher rates than historical reports. Identifying biomarkers
Externí odkaz:
https://doaj.org/article/b25791acda964277b5a3eed4e25b8a71
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics: Systems. 50:3401-3411
Faults in aircraft actuators can cause serious issues in safety. Due to the autonomous nature of the unmanned aerial vehicles (UAVs), faults can lead to more serious problems in these systems. In this paper, a new active fault tolerant control (FTC)
Publikováno v:
IEEE Transactions on Industrial Electronics. 67:7951-7962
Smart power grids are being enhanced by adding a communication infrastructure to improve their reliability, sustainability, and efficiency. Despite all of these significant advantages, their open communication architecture and connectivity renders th
Autor:
Ulyana Morar, Walter Izquierdo, Harold Martin, Parisa Forouzannezhad, Elaheh Zarafshan, Elona Unger, Zoran Bursac, Mercedes Cabrerizo, Armando Barreto, David E. Vaillancourt, Steven T. DeKosky, David Loewenstein, Ranjan Duara, Malek Adjouadi
Publikováno v:
Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring. 14
This study aims to determine whether newly introduced biomarkers Visinin-like protein-1 (VILIP-1), chitinase-3-like protein 1 (YKL-40), synaptosomal-associated protein 25 (SNAP-25), and neurogranin (NG) in cerebrospinal fluid are useful in evaluating
Autor:
Parisa Forouzannezhad, Dominic Maes, Daniel S. Hippe, Phawis Thammasorn, Reza Iranzad, Jie Han, Chunyan Duan, Xiao Liu, Shouyi Wang, W. Art Chaovalitwongse, Jing Zeng, Stephen R. Bowen
Publikováno v:
Cancers; Volume 14; Issue 5; Pages: 1228
Medical imaging provides quantitative and spatial information to evaluate treatment response in the management of patients with non-small cell lung cancer (NSCLC). High throughput extraction of radiomic features on these images can potentially phenot
Publikováno v:
IEEE Transactions on Industry Applications. 55:6344-6354
This paper introduces a novel controller design for pressure control in the proton exchange membrane (PEM) fuel cells. The proposed controller can control the system under the fault/failure of the actuators. The introduced design uses an artificial n
Autor:
Parisa Forouzannezhad, Alireza Abbaspour, Ranjan Duara, Malek Adjouadi, Mercedes Cabrerizo, David A. Loewenstein, Chen Fang
Publikováno v:
Journal of Neuroscience Methods. 317:121-140
Background Functional magnetic resonance imaging (fMRI) is an MRI-based neuroimaging technique that measures brain activity on the basis of blood oxygenation level. This study reviews the main fMRI methods reported in the literature and their related
Autor:
Ulyana Morar, Malek Adjouadi, Elaheh Zarafshan, Mercedes Cabrerizo, Hoda Rajaei, Parisa Forouzannezhad
Publikováno v:
2020 International Conference on Computational Science and Computational Intelligence (CSCI).
Using electroencephalography (EEG) data from epileptic patients1, we investigated and compared functional connectivity networks of three various types of epileptiform discharges (ED; single, complex & repetitive spikes) in 4 regions of the brain. Our
Autor:
Ranjan Duara, Elaheh Zarafshan, David A. Loewenstein, Walter Izquierdo, Elona Unger, Harold Martin, Monica Roselli, Rosie E. Curiel, Malek Adjouadi, Ulyana Morar, Parisa Forouzannezhad
Publikováno v:
2020 International Conference on Computational Science and Computational Intelligence (CSCI).
This study introduces a new multimodal deep regression method to predict cognitive test score in a 5-year longitudinal study on Alzheimer’s disease (AD). The proposed model takes advantage of multimodal data that includes cerebrospinal fluid (CSF)