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A 256-Channel 0.227µJ/class Versatile Brain Activity Classification and Closed-Loop Neuromodulation SoC with 0.004mm2-1.51 µW/channel Fast-Settling Highly Multiplexed Mixed-Signal Front-End

2022 IEEE International Solid- State Circuits Conference (ISSCC), 2022, Vol.65, p.338-340

2022

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383 BioEndoCar: identifying candidate biomarkers for diagnosis and prognosis of endometrial carcinoma using machine learning and artificial intelligence

International journal of gynecological cancer, 2023, Vol.33 (Suppl 3), p.A368-A368

2023

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Abstract: Explainable artificial intelligence and single cell genomics to understand the cellular complexity of human brain

2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021, p.4-4

H.Scheuermann, Richard

2021

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Accuracy of cardiac scar and fibrosis geometry in ventricular models affects electrical dyssynchrony biomarkers and ML prediction score of CRT response

2022 Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine (CSGB), 2022, p.280-283

2022

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Acute Infarct Volume Prediction Based on CT Perfusion Metrics Derived from an Automated Software Package using Machine Learning Models

2021 International Conference on e-Health and Bioengineering (EHB), 2021, p.1-4

2021

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Adding Explainability to Machine Learning Models to Detect Chronic Kidney Disease

2022 IEEE 23rd International Conference on Information Reuse and Integration for Data Science (IRI), 2022, p.297-302

2022

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Adopting Machine Learning-Based Pose Estimation as Digital Biomarker in Motor Tele-Rehabilitation

2023 IEEE Symposium on Computers and Communications (ISCC), 2023, p.1-4

2023

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Advanced Machine-Learning Technologies for Coronary Artery Disease Prediction Using Heterogeneous Data

2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 2023, p.54-61

2023

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Advances in the Deep Brain Stimulation for Parkinson's Disease

2021 International Conference on Signal Processing and Machine Learning (CONF-SPML), 2021, p.46-49

Xia, Ping

2021

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Advancing Pancreatic Cancer Diagnosis with Artificial Neural Networks: Current Research and Future Prospects

2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS), 2023, p.524-529

2023

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Age? It's in the Game: An Exploratory Study on Detection of Cognitive Aging through Card Games

Proceedings of the Annual Symposium on Computer-Human Interaction in Play, 2019, p.651-664

2019

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AI-aided Data Mining in Gut Microbiome: The Road to Precision Medicine

2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 2021, p.1-5

2021

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Alzheimer's Disease Classification from Cross-sectional Brain MRI using Deep Learning

2022 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES), 2022, Vol.1, p.401-405

2022

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Alzheimer's disease: Early-Stage Prediction and Classification using Multi-Model Technique

2022 International Conference on Inventive Computation Technologies (ICICT), 2022, p.497-502

2022

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Alzheimer's Disease Prediction Using Convolutional Neural Network Models Leveraging Pre-existing Architecture and Transfer Learning

2020 Joint 9th International Conference on Informatics, Electronics & Vision (ICIEV) and 2020 4th International Conference on Imaging, Vision & Pattern Recognition (icIVPR), 2020, p.1-6

2020

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Analysis and classification of EEG data when playing video games and relax using EEG biomarkers

AIP Conference Proceedings, 2024, Vol.3180 (1)

2024

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Analysis of Clinical Parameters for Onset of Cardiovascular Events through Machine Learning Algorithm

TENCON 2022 - 2022 IEEE Region 10 Conference (TENCON), 2022, p.1-7

2022

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Analysis of differentially expressed M. fortuitum proteins for biomarker prediction using Support Vector Machine

2023 Seventh International Conference on Image Information Processing (ICIIP), 2023, p.212-217

2023

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Analysis of EEG in Unipolar and Bipolar Depression Based on Phase Synchronization

2021 4th International Conference on Pattern Recognition and Artificial Intelligence (PRAI), 2021, p.255-260

2021

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An Analysis of Machine Learning Classifiers for Joint Operator-UAV Monitoring and Abnormal Command Detection

2022 International Conference on Unmanned Aircraft Systems (ICUAS), 2022, p.1101-1110

2022

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Analysis of Respiratory Signals in Spectral Domain for Detecting Respiratory Disorders with Emphasis on COVID-19

2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), 2022, p.2088-2093

2022

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Application of Machine Learning Ensemble Super Learner for analysis of the cytokines transported by high density lipoproteins (HDL) of smokers and nonsmokers

2021 International Conference on Computational Science and Computational Intelligence (CSCI), 2021, p.370-375

2021

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Applications of hybrid data mining technique in cancer prediction and prognosis in an IoT environment

AIP Conference Proceedings, 2023, Vol.2523 (1)

2023

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Applying DOI Theory to Assess the Required Level of Explainability in Artificial Intelligence-empowered Medical Applications

2023 14th International Conference on Information, Intelligence, Systems & Applications (IISA), 2023, p.1-7

2023

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Artefact Detection in Chronically Recorded Local Field Potentials: An Explainable Machine Learning-based Approach

2022 International Joint Conference on Neural Networks (IJCNN), 2022, p.1-7

2022

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A 256-Channel 0.227µJ/class Versatile Brain Activity Classification and Closed-Loop Neuromodulation SoC with 0.004mm2-1.51 µW/channel Fast-Settling Highly Multiplexed Mixed-Signal Front-End

383 BioEndoCar: identifying candidate biomarkers for diagnosis and prognosis of endometrial carcinoma using machine learning and artificial intelligence

Abstract: Explainable artificial intelligence and single cell genomics to understand the cellular complexity of human brain

Accuracy of cardiac scar and fibrosis geometry in ventricular models affects electrical dyssynchrony biomarkers and ML prediction score of CRT response

Acute Infarct Volume Prediction Based on CT Perfusion Metrics Derived from an Automated Software Package using Machine Learning Models

Adding Explainability to Machine Learning Models to Detect Chronic Kidney Disease

Adopting Machine Learning-Based Pose Estimation as Digital Biomarker in Motor Tele-Rehabilitation

Advanced Machine-Learning Technologies for Coronary Artery Disease Prediction Using Heterogeneous Data

Advances in the Deep Brain Stimulation for Parkinson's Disease

Advancing Pancreatic Cancer Diagnosis with Artificial Neural Networks: Current Research and Future Prospects

Age? It's in the Game: An Exploratory Study on Detection of Cognitive Aging through Card Games

AI-aided Data Mining in Gut Microbiome: The Road to Precision Medicine

Alzheimer's Disease Classification from Cross-sectional Brain MRI using Deep Learning

Alzheimer's disease: Early-Stage Prediction and Classification using Multi-Model Technique

Alzheimer's Disease Prediction Using Convolutional Neural Network Models Leveraging Pre-existing Architecture and Transfer Learning

Analysis and classification of EEG data when playing video games and relax using EEG biomarkers

Analysis of Clinical Parameters for Onset of Cardiovascular Events through Machine Learning Algorithm

Analysis of differentially expressed M. fortuitum proteins for biomarker prediction using Support Vector Machine

Analysis of EEG in Unipolar and Bipolar Depression Based on Phase Synchronization

An Analysis of Machine Learning Classifiers for Joint Operator-UAV Monitoring and Abnormal Command Detection

Analysis of Respiratory Signals in Spectral Domain for Detecting Respiratory Disorders with Emphasis on COVID-19

Application of Machine Learning Ensemble Super Learner for analysis of the cytokines transported by high density lipoproteins (HDL) of smokers and nonsmokers

Applications of hybrid data mining technique in cancer prediction and prognosis in an IoT environment

Applying DOI Theory to Assess the Required Level of Explainability in Artificial Intelligence-empowered Medical Applications

Artefact Detection in Chronically Recorded Local Field Potentials: An Explainable Machine Learning-based Approach

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