Search Results - "Leontios Hadjileontiadis" :: K.UTB vyhledávací portál | TBU Library Retrieval Portal

Parkinson's Disease Detection Based on Running Speech Data From Phone Calls

Parkinson's Disease Detection Based on Running Speech Data From Phone Calls

by Laganas, Christos, Iakovakis, Dimitrios, Hadjidimitriou, Stelios, Charisis, Vasileios, Dias, Sofia B., Bostantzopoulou, Sevasti, Katsarou, Zoe, Klingelhoefer, Lisa, Reichmann, Heinz, Trivedi, Dhaval, Chaudhuri, K. Ray, Hadjileontiadis, Leontios J.
Published in IEEE transactions on biomedical engineering (01.05.2022)

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The convergence of traditional and digital biomarkers through AI-assisted biosensing: A new era in translational diagnostics?

The convergence of traditional and digital biomarkers through AI-assisted biosensing: A new era in translational diagnostics?

by Arya, Sagar S., Dias, Sofia B., Jelinek, Herbert F., Hadjileontiadis, Leontios J., Pappa, Anna-Maria
Published in Biosensors & bioelectronics (01.09.2023)

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Potential of hybrid adaptive filtering in inflammatory lesion detection from capsule endoscopy images

Potential of hybrid adaptive filtering in inflammatory lesion detection from capsule endoscopy images

by Charisis, Vasileios S, Hadjileontiadis, Leontios J
Published in World journal of gastroenterology : WJG (21.10.2016)

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$Investigating the effects of beta-blockers on circadian heart rhythm using heart rate variability in ischemic heart disease with preserved ejection fraction$

Investigating the effects of beta-blockers on circadian heart rhythm using heart rate variability in ischemic heart disease with preserved ejection fraction

by Saleem, Shiza, Khandoker, Ahsan H, Alkhodari, Mohanad, Hadjileontiadis, Leontios J, Jelinek, Herbert F
Published in Scientific reports (10.04.2023)

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Unobtrusive detection of Parkinson's disease from multi-modal and in-the-wild sensor data using deep learning techniques

Unobtrusive detection of Parkinson's disease from multi-modal and in-the-wild sensor data using deep learning techniques

by Papadopoulos, Alexandros, Iakovakis, Dimitrios, Klingelhoefer, Lisa, Bostantjopoulou, Sevasti, Chaudhuri, K Ray, Kyritsis, Konstantinos, Hadjidimitriou, Stelios, Charisis, Vasileios, Hadjileontiadis, Leontios J, Delopoulos, Anastasios
Published in Scientific reports (07.12.2020)

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$Prediction of heart failure patients with distinct left ventricular ejection fraction levels using circadian ECG features and machine learning$

Prediction of heart failure patients with distinct left ventricular ejection fraction levels using circadian ECG features and machine learning

by Al Younis, Sona M, Hadjileontiadis, Leontios J, Khandoker, Ahsan H, Stefanini, Cesare, Soulaidopoulos, Stergios, Arsenos, Petros, Doundoulakis, Ioannis, Gatzoulis, Konstantinos A, Tsioufis, Konstantinos
Published in PloS one (13.05.2024)

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Estimating Left Ventricle Ejection Fraction Levels Using Circadian Heart Rate Variability Features and Support Vector Regression Models

Estimating Left Ventricle Ejection Fraction Levels Using Circadian Heart Rate Variability Features and Support Vector Regression Models

by Alkhodari, Mohanad, Jelinek, Herbert F., Werghi, Naoufel, Hadjileontiadis, Leontios J., Khandoker, Ahsan H.
Published in IEEE journal of biomedical and health informatics (01.03.2021)

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A two-step pre-processing tool to remove Gaussian and ectopic noise for heart rate variability analysis

A two-step pre-processing tool to remove Gaussian and ectopic noise for heart rate variability analysis

by Saleem, Shiza, Khandoker, Ahsan H, Alkhodari, Mohanad, Hadjileontiadis, Leontios J, Jelinek, Herbert F
Published in Scientific reports (01.11.2022)

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Emotion Recognition from Brain Signals Using Hybrid Adaptive Filtering and Higher Order Crossings Analysis

Emotion Recognition from Brain Signals Using Hybrid Adaptive Filtering and Higher Order Crossings Analysis

by Petrantonakis, Panagiotis C, Hadjileontiadis, Leontios J
Published in IEEE transactions on affective computing (01.07.2010)

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The role of artificial intelligence in hypertensive disorders of pregnancy: towards personalized healthcare

The role of artificial intelligence in hypertensive disorders of pregnancy: towards personalized healthcare

by Alkhodari, Mohanad, Xiong, Zhaohan, Khandoker, Ahsan H, Hadjileontiadis, Leontios J, Leeson, Paul, Lapidaire, Winok
Published in Expert review of cardiovascular therapy (03.07.2023)

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$Investigating automated regression models for estimating left ventricular ejection fraction levels in heart failure patients using circadian ECG features$

Investigating automated regression models for estimating left ventricular ejection fraction levels in heart failure patients using circadian ECG features

by Al Younis, Sona M, Hadjileontiadis, Leontios J, Al Shehhi, Aamna M, Stefanini, Cesare, Alkhodari, Mohanad, Soulaidopoulos, Stergios, Arsenos, Petros, Doundoulakis, Ioannis, Gatzoulis, Konstantinos A, Tsioufis, Konstantinos, Khandoker, Ahsan H
Published in PloS one (11.12.2023)

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A Novel Emotion Elicitation Index Using Frontal Brain Asymmetry for Enhanced EEG-Based Emotion Recognition

A Novel Emotion Elicitation Index Using Frontal Brain Asymmetry for Enhanced EEG-Based Emotion Recognition

by Petrantonakis, P. C., Hadjileontiadis, L. J.
Published in IEEE transactions on information technology in biomedicine (01.09.2011)

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Bispectral Analysis of Parkinsonian Rest Tremor: New Characterization and Classification Insights Pre-/Post-DBS and Medication Treatment

Bispectral Analysis of Parkinsonian Rest Tremor: New Characterization and Classification Insights Pre-/Post-DBS and Medication Treatment

by Ziogas, Ioannis, Lamprou, Charalampos, Hadjileontiadis, Leontios J.
Published in IEEE access (01.01.2023)

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Machine Learning-Based Analysis of Digital Movement Assessment and ExerGame Scores for Parkinson's Disease Severity Estimation

Machine Learning-Based Analysis of Digital Movement Assessment and ExerGame Scores for Parkinson's Disease Severity Estimation

by Mahboobeh, Dunia J, Dias, Sofia B, Khandoker, Ahsan H, Hadjileontiadis, Leontios J
Published in Frontiers in psychology (17.03.2022)

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DeepCurvMRI: Deep Convolutional Curvelet Transform-based MRI Approach for Early Detection of Alzheimer's Disease

DeepCurvMRI: Deep Convolutional Curvelet Transform-based MRI Approach for Early Detection of Alzheimer's Disease

by Chabib, Chahd, Hadjileontiadis, Leontios J., Shehhi, Aamna Al
Published in IEEE access (01.01.2023)

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LSTM-Modeling of Emotion Recognition Using Peripheral Physiological Signals in Naturalistic Conversations

LSTM-Modeling of Emotion Recognition Using Peripheral Physiological Signals in Naturalistic Conversations

by Zitouni, M. Sami, Park, Cheul Young, Lee, Uichin, Hadjileontiadis, Leontios J., Khandoker, Ahsan
Published in IEEE journal of biomedical and health informatics (01.02.2023)

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Efficient syncope prediction from resting state clinical data using wavelet bispectrum and multilayer perceptron neural network

Efficient syncope prediction from resting state clinical data using wavelet bispectrum and multilayer perceptron neural network

by Myrovali, Evangelia, Fragakis, Nikolaos, Vassilikos, Vassilios, Hadjileontiadis, Leontios J.
Published in Medical & biological engineering & computing (01.06.2021)

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A scoping review of neurodegenerative manifestations in explainable digital phenotyping

A scoping review of neurodegenerative manifestations in explainable digital phenotyping

by Alfalahi, Hessa, Dias, Sofia B, Khandoker, Ahsan H, Chaudhuri, Kallol Ray, Hadjileontiadis, Leontios J
Published in NPJ Parkinson's Disease (30.03.2023)

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Editorial: Human-Computer Interaction Serious Games as behavioral change moderators

Editorial: Human-Computer Interaction Serious Games as behavioral change moderators

by Dias, Sofia Balula, Diniz, José Alves, Hadjileontiadis, Leontios J, Jelinek, Herbert F
Published in Frontiers in psychology (21.12.2022)

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Adaptive Emotional Information Retrieval From EEG Signals in the Time-Frequency Domain

Adaptive Emotional Information Retrieval From EEG Signals in the Time-Frequency Domain

by Petrantonakis, P. C., Hadjileontiadis, L. J.
Published in IEEE transactions on signal processing (01.05.2012)

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