Search Results - "Rababah, Ali"

Improved Brain Tumor Segmentation in MR Images with a Modified U-Net by Alquran, Hiam, Alslatie, Mohammed, Rababah, Ali, Mustafa, Wan Azani

“…Detecting brain tumors is crucial in medical diagnostics due to the serious health risks these abnormalities present to patients. Deep learning approaches can…”
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Novel hybrid method for interpolating missing information in body surface potential maps by Rababah Msc, Ali S, Bond, Raymond R., PhD, Msc, Khaled Rjoob, Guldenring, Daniel, PhD, McLaughlin, James, PhD, Finlay, Dewar D., PhD

“…AbstractBackgroundBody surface potential mapping (BSPM) provides additional electrophysiological information that can be useful for the detection of cardiac…”
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The effect of interpolating low amplitude leads on the inverse reconstruction of cardiac electrical activity by Rababah, Ali S., Bear, Laura R., Dogrusoz, Yesim Serinagaoglu, Good, Wilson, Bergquist, Jake, Stoks, Job, MacLeod, Rob, Rjoob, Khaled, Jennings, Michael, Mclaughlin, James, Finlay, Dewar D.

“…Electrocardiographic imaging is an imaging modality that has been introduced recently to help in visualizing the electrical activity of the heart and…”
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Data driven feature selection and machine learning to detect misplaced V1 and V2 chest electrodes when recording the 12‑lead electrocardiogram by Rjoob, Khaled, MSc, Bond, Raymond, PhD, Finlay, Dewar, PhD, McGilligan, Victoria, PhD, Leslie, Stephen J., PhD, Iftikhar, Aleeha, MSc, Guldenring, Daniel, PhD, Rababah, Ali, MSc, Knoery, Charles, MSc, McShane, Anne, MSc, Peace, Aaron, PhD

“…AbstractBackgroundElectrocardiogram (ECG) lead misplacement can adversely affect ECG diagnosis and subsequent clinical decisions. V1 and V2 are commonly placed…”
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Tradition and Transformation: Islamic influence on animal slaughter in Padang Bolak funeral customs by Siregar, Ilham Ramadan, Rababah, Mahmoud Ali, Amiruddin, Amiruddin, Akhyar, Akhyar, Hasibuan, Sri Wahyuni

“…This research aims to describe the acculturation of Islam and local culture in the tradition of animal slaughter at funeral ceremonies preserved by the Padang…”
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Impact of Toxic Leadership on Employee Performance by Wolor, Christian Wiradendi, Ardiansyah, Ardiansyah, Rofaida, Rofi, Nurkhin, Ahmad, Rababah, Mahmoud Ali

“…This research intends to shed additional light on the effects of toxic leadership on employee satisfaction, motivation, and performance. Such a study on toxic…”
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Impact of bullying on work motivation and job satisfaction by Wolor, Christian Wiradendi, Wibawa, Eka Ary, Eranza, Datu Razali Datu, Nurkhin, Ahmad, Rababah, Mahmoud Ali

“…The purpose of this study is to investigate the impact that bullying has on the levels of work motivation and job satisfaction experienced by employees. It…”
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ISIS’ Miscontextualization of Ḥadīth through the Strategic Linguistic Propaganda: A Socio-political Analysis by Abu Melhim, Muhammad Husni, Al-Shurman, Yousef Mohammed, Zainelabdin, Fatima A., Rabab’a, Yasser Ahmed, BaniSaeed, Rihab A., Rababah, Mahmoud Ali

“…ISIS has used language propaganda to further its sociopolitical objectives and defend its harsh behavior through the miscontextualization of ḥadīth. This study…”
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Coefficients for the Derivation of an ST Sensitive Patch Based Lead System from the 12 Lead Electrocardiogram by Jennings, Michael R, Rababah, Ali S, Guldenring, Daniel, McLaughlin, James, Finlay, Dewar D

“…Background: There are limited datasets available to facilitate the evaluation of patch-based lead systems, so the leads must be derived from existing data,…”
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Coefficients for the Derivation of Posterior and Right Sided Chest Leads From the 12-lead Electrocardiogram by Jennings, Michael R, Rababah, Ali S, Biglarbeigi, Pardis, Brisk, Rob, Guldenring, Daniel, Bond, Raymond, McLaughlin, James, Finlayl, Dewar D

“…Background: The 12-lead ECG is spatially limited in diagnosing cardiac abnormalities. Additional leads (right sided and posterior leads) are inconvenient in a…”
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Methods for Signal Processing and Interpolation of Body Surface Ecg Signals and the Impact on the Inverse Reconstructed Cardiac Electrical Activity by Rababah, Ali

“…Non-invasive electrocardiographic imaging has been developed to overcome the challenges and limitations of the standard 12-lead ECG and invasive cardiac…”
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Machine learning and the electrocardiogram over two decades: Time series and meta-analysis of the algorithms, evaluation metrics and applications by Rjoob, Khaled, Bond, Raymond, Finlay, Dewar, McGilligan, Victoria, Leslie, Stephen J., Rababah, Ali, Iftikhar, Aleeha, Guldenring, Daniel, Knoery, Charles, McShane, Anne, Peace, Aaron, Macfarlane, Peter W.

“…The application of artificial intelligence to interpret the electrocardiogram (ECG) has predominantly included the use of knowledge engineered rule-based…”
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An Adaptive Laplacian Based Interpolation Algorithm for Noise Reduction in Body Surface Potential Maps by Rababah, Ali S, Finlay, Dewar D, Guldenring, Daniel, Bond, Raymond, McLaughlin, James D

“…Body surface potential maps (BSPMs) are typically recorded from a large number of ECG leads that cover the entire thorax. This improves diagnostic accuracy and…”
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Regression or pseudo-inverse - which method should be preferred when developing inverse linear ECG‑lead transformations? by Guldenring, Daniel, Rababah, Ali, Finlay, Dewar D., Bond, Raymond R., Kennedy, Alan, McLaughlin, James

“…Linear electrocardiogram (ECG) lead transformations are a well-established concept in modern computerized electrocardiography. Linear ECG-lead transformations…”
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Machine learning techniques for detecting electrode misplacement and interchanges when recording ECGs: A systematic review and meta-analysis by Rjoob, Khaled, Bond, Raymond, Finlay, Dewar, McGilligan, Victoria, Leslie, Stephen J., Rababah, Ali, Guldenring, Daniel, Iftikhar, Aleeha, Knoery, Charles, McShane, Anne, Peace, Aaron

“…Electrode misplacement and interchange errors are known problems when recording the 12‑lead electrocardiogram (ECG). Automatic detection of these errors could…”
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“What was AI thinking?”: Explainable deep learning in reading of 12-lead ECGs for detecting V1 and V2 electrode misplacement by Rjoob, Khaled, Bond, Raymond, Finlay, Dewar, McGilligan, Victoria, Leslie, Stephen J., Guldenring, Daniel, Rababah, Ali, Iftikhar, Aleeha, Knoery, Charles, McShane, Anne, Peace, Aaron

“…Background ECG data quality can be affected by lead misplacement which can affect clinical decisions. VI and V2 are commonly misplaced in the superior…”
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Reliable Deep Learning-Based Detection of Misplaced Chest Electrodes During Electrocardiogram Recording: Algorithm Development and Validation by Rjoob, Khaled, Bond, Raymond, Finlay, Dewar, McGilligan, Victoria, J Leslie, Stephen, Rababah, Ali, Iftikhar, Aleeha, Guldenring, Daniel, Knoery, Charles, McShane, Anne, Peace, Aaron

“…A 12-lead electrocardiogram (ECG) is the most commonly used method to diagnose patients with cardiovascular diseases. However, there are a number of possible…”
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The Effect of Segmentation Variability in Forward ECG Simulation by Ondrusova, Beata, Boonstra, Machteld, Svehlikova, Jana, Brooks, Dana, van Dam, Peter, Rababah, Ali Salman, Narayan, Akil, MacLeod, Rob, Zemzemi, Nejib, Tate, Jess

“…Segmentation of patient-specific anatomical models is one of the first steps in Electrocardiographic imaging (ECGI). However, the effect of segmentation…”
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Increasing the Competency of Prospective Coffee Entrepreneurs Through Experiential Training in Coffee Tourism Villages: Case Study of Young Entrepreneurs in Indonesia by Wolor, Christian Wiradendi, Eranza, Datu Razali Datu, Rababah, Mahmoud Ali, Hoo, Wong Chee, Nurkhin, Ahmad, Richard, Yumiad Fernando, Rahman, Abdullah

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Effect of Segmentation Uncertainty on the ECGI Inverse Problem Solution and Source Localization by Gassa, Narimane, Boonstra, Machteld, Ondrusoval, Beata, Svehlikova, Jana, Brooks, Dana, Narayan, Akil, Rababah, Ali Salman, van Dam, Peter, MacLeod, Rob, Tate, Jess, Zemzemi, Nejib

“…Electrocardiographic Imaging (ECGI) is a promising tool to non-invasively map the electrical activity of the heart using body surface potentials (BSPs) and the…”
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