Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Ulyana Morar"'
Autor:
Ahmed Hossam Mohammed, Ulyana Morar, Mercedes Cabrerizo, Hoda Rajaei, Alberto Pinzon, Ilker Yaylali, Malek Adjouadi
Publikováno v:
IEEE Access, Vol 10, Pp 1276-1288 (2022)
Background: Understanding functional connectivity (FC) patterns of epileptic brain networks as they relate to the presence or absence of interictal epileptiform discharges (IEDs) can enhance machine learning (ML) algorithms identifying them. Methods:
Externí odkaz:
https://doaj.org/article/0bc1af66db1a45269e10b61fb8ae6abf
Autor:
Ahmed Hossam Mohammed, Mercedes Cabrerizo, Ulyana Morar, Hoda Rajaei, Alberto Pinzon, Ilker Yaylali, Sergio Gonzales-Arias, Malek Adjouadi
Publikováno v:
IEEE Access, Vol 9, Pp 204-217 (2021)
Objective: This study demonstrates how functional connectivity (FC) patterns are affected in direct relation to the lobe that is mostly affected by seizures. Methods: The novel idea of penalized FC (pFC) maps is compared against standard FC maps in t
Externí odkaz:
https://doaj.org/article/ecef2d5440544e82b4fef7c5d1d5ec82
Autor:
Ilker Yaylali, Ahmed Hossam Mohammed, Sergio Gonzales-Arias, Alberto Pinzon, Hoda Rajaei, Malek Adjouadi, Ulyana Morar, Mercedes Cabrerizo
Publikováno v:
IEEE Access, Vol 9, Pp 204-217 (2021)
Objective : This study demonstrates how functional connectivity (FC) patterns are affected in direct relation to the lobe that is mostly affected by seizures. Methods : The novel idea of penalized FC (pFC) maps is compared against standard FC maps in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3bd935be394fa19f1296bc126b681de8
https://ieeexplore.ieee.org/document/9305291/
https://ieeexplore.ieee.org/document/9305291/
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53596585c80210703c90c26969391bec
https://doi.org/10.1002/dad2.12258
https://doi.org/10.1002/dad2.12258
Autor:
Mercedes Cabrerizo, Walter Izquierdo, Anastasio Cabrera, Harold Martin, Malek Adjouadi, Ulyana Morar
Publikováno v:
2020 International Conference on Computational Science and Computational Intelligence (CSCI).
We propose a novel pipeline for the real-time detection of myocardial infarction from a single heartbeat of a 12-lead electrocardiograms. We do so by merging a real-time R-spike detection algorithm with a deep learning Long-Short Term Memory (LSTM) n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::444c2bcac0abb8d8781a6d8d39f20875
https://doi.org/10.1109/csci51800.2020.00147
https://doi.org/10.1109/csci51800.2020.00147
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2325098bfef96d6c6500438b0a61d638
https://doi.org/10.1109/csci51800.2020.00285
https://doi.org/10.1109/csci51800.2020.00285
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)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2cd9d7cefc2c6bae1ddcb05c9cb17887
https://doi.org/10.1109/csci51800.2020.00144
https://doi.org/10.1109/csci51800.2020.00144
Autor:
Mercedes Cabrerizo, Walter Izquierdo, Ulyana Morar, Malek Adjouadi, Anastasio Cabrera, Harold Martin
Publikováno v:
Artificial Intelligence in Medicine. 121:102179
This study proposes a novel real-time frequency-independent myocardial infarction detector for Lead II electrocardiograms. The underlying Deep-LSTM network is trained using the PTB-XL database, the largest to date publicly available electrocardiograp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6f0edd81fb3f481d2aafc887b2d07e0
https://doi.org/10.1016/j.artmed.2021.102179
https://doi.org/10.1016/j.artmed.2021.102179