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Applications of Generative Adversarial Networks (GANs) in Positron Emission Tomography (PET) imaging: A review

European journal of nuclear medicine and molecular imaging, 2022-09, Vol.49 (11), p.3717-3739

2022

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An Attention-Based Deep Convolutional Neural Network for Brain Tumor and Disorder Classification and Grading in Magnetic Resonance Imaging

Information (Basel), 2023-03, Vol.14 (3), p.174

2023

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Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks

Physical and engineering sciences in medicine, 2020-06, Vol.43 (2), p.635-640

2020

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Calibration and Inter-Unit Consistency Assessment of an Electrochemical Sensor System Using Machine Learning

Sensors (Basel, Switzerland), 2024-06, Vol.24 (13), p.4110

2024

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A Deep Learning Methodology for the Detection of Abnormal Parathyroid Glands via Scintigraphy with 99mTc-Sestamibi

Diseases, 2022-08, Vol.10 (3), p.56

2022

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Explainable Artificial Intelligence Method (ParaNet+) Localises Abnormal Parathyroid Glands in Scintigraphic Scans of Patients with Primary Hyperparathyroidism

Algorithms, 2023-09, Vol.16 (9), p.435

2023

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Classification models for assessing coronary artery disease instances using clinical and biometric data: an explainable man-in-the-loop approach

Scientific reports, 2023-04, Vol.13 (1), p.6668-6668, Article 6668

2023

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Detection and Localisation of Abnormal Parathyroid Glands: An Explainable Deep Learning Approach

Algorithms, 2022-12, Vol.15 (12), p.455

2022

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The impact of gastroesophageal reflux disease and its treatment on interstitial lung disease outcomes

Arthritis research & therapy, 2024-06, Vol.26 (1), p.124-8, Article 124

2024

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Fuzzy Cognitive Maps: Their Role in Explainable Artificial Intelligence

Applied sciences, 2023-03, Vol.13 (6), p.3412

2023

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A Multi-Modal Machine Learning Methodology for Predicting Solitary Pulmonary Nodule Malignancy in Patients Undergoing PET/CT Examination

Big data and cognitive computing, 2024-08, Vol.8 (8), p.85

2024

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Deep Learning Methods to Reveal Important X-ray Features in COVID-19 Detection: Investigation of Explainability and Feature Reproducibility

Reports (MDPI), 2022-06, Vol.5 (2), p.20

2022

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Deep learning exploration for SPECT MPI polar map images classification in coronary artery disease

Annals of nuclear medicine, 2022-09, Vol.36 (9), p.823-833

2022

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Between Two Worlds: Investigating the Intersection of Human Expertise and Machine Learning in the Case of Coronary Artery Disease Diagnosis

Bioengineering (Basel), 2024-09, Vol.11 (10), p.957

2024

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Integrating Machine Learning in Clinical Practice for Characterizing the Malignancy of Solitary Pulmonary Nodules in PET/CT Screening

Diseases, 2024-06, Vol.12 (6), p.115

2024

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Explainable Deep Fuzzy Cognitive Map Diagnosis of Coronary Artery Disease: Integrating Myocardial Perfusion Imaging, Clinical Data, and Natural Language Insights

Applied sciences, 2023-11, Vol.13 (21), p.11953

2023

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Innovative Attention-Based Explainable Feature-Fusion VGG19 Network for Characterising Myocardial Perfusion Imaging SPECT Polar Maps in Patients with Suspected Coronary Artery Disease

Applied sciences, 2023-07, Vol.13 (15), p.8839

2023

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Artificial Intelligence Methods for Identifying and Localizing Abnormal Parathyroid Glands: A Review Study

Machine learning and knowledge extraction, 2022-09, Vol.4 (4), p.814-826

2022

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Analog fiber-wireless downlink transmission of IFoF/mmWave over in-field deployed legacy PON infrastructure for 5G fronthauling

Journal of optical communications and networking, 2020-10, Vol.12 (10), p.D57-D65

2020

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Field Calibration of a Low-Cost Air Quality Monitoring Device in an Urban Background Site Using Machine Learning Models

Atmosphere, 2023-02, Vol.14 (2), p.368

2023

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A General Machine Learning Model for Assessing Fruit Quality Using Deep Image Features

AI (Basel), 2023-09, Vol.4 (4), p.812-830

2023

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An Explainable Deep Learning Framework for Detecting and Localising Smoke and Fire Incidents: Evaluation of Grad-CAM++ and LIME

Machine learning and knowledge extraction, 2022-12, Vol.4 (4), p.1124-1135

2022

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Prediction of the Concentration and Source Contributions of PM2.5 and Gas-Phase Pollutants in an Urban Area with the SmartAQ Forecasting System

Atmosphere, 2024-01, Vol.15 (1), p.8

2024

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End-to-End Real-Time Service Provisioning Over a SDN-Controllable Analog mmWave Fiber -Wireless 5G X-Haul Network

Journal of lightwave technology, 2023-02, Vol.41 (4), p.1104-1113

2023

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Deep learning-enhanced nuclear medicine SPECT imaging applied to cardiac studies

EJNMMI physics, 2023-01, Vol.10 (1), p.6-6, Article 6

2023

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Applications of Generative Adversarial Networks (GANs) in Positron Emission Tomography (PET) imaging: A review

An Attention-Based Deep Convolutional Neural Network for Brain Tumor and Disorder Classification and Grading in Magnetic Resonance Imaging

Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks

Calibration and Inter-Unit Consistency Assessment of an Electrochemical Sensor System Using Machine Learning

A Deep Learning Methodology for the Detection of Abnormal Parathyroid Glands via Scintigraphy with 99mTc-Sestamibi

Explainable Artificial Intelligence Method (ParaNet+) Localises Abnormal Parathyroid Glands in Scintigraphic Scans of Patients with Primary Hyperparathyroidism

Classification models for assessing coronary artery disease instances using clinical and biometric data: an explainable man-in-the-loop approach

Detection and Localisation of Abnormal Parathyroid Glands: An Explainable Deep Learning Approach

The impact of gastroesophageal reflux disease and its treatment on interstitial lung disease outcomes

Fuzzy Cognitive Maps: Their Role in Explainable Artificial Intelligence

A Multi-Modal Machine Learning Methodology for Predicting Solitary Pulmonary Nodule Malignancy in Patients Undergoing PET/CT Examination

Deep Learning Methods to Reveal Important X-ray Features in COVID-19 Detection: Investigation of Explainability and Feature Reproducibility

Deep learning exploration for SPECT MPI polar map images classification in coronary artery disease

Between Two Worlds: Investigating the Intersection of Human Expertise and Machine Learning in the Case of Coronary Artery Disease Diagnosis

Integrating Machine Learning in Clinical Practice for Characterizing the Malignancy of Solitary Pulmonary Nodules in PET/CT Screening

Explainable Deep Fuzzy Cognitive Map Diagnosis of Coronary Artery Disease: Integrating Myocardial Perfusion Imaging, Clinical Data, and Natural Language Insights

Innovative Attention-Based Explainable Feature-Fusion VGG19 Network for Characterising Myocardial Perfusion Imaging SPECT Polar Maps in Patients with Suspected Coronary Artery Disease

Artificial Intelligence Methods for Identifying and Localizing Abnormal Parathyroid Glands: A Review Study

Analog fiber-wireless downlink transmission of IFoF/mmWave over in-field deployed legacy PON infrastructure for 5G fronthauling

Field Calibration of a Low-Cost Air Quality Monitoring Device in an Urban Background Site Using Machine Learning Models

A General Machine Learning Model for Assessing Fruit Quality Using Deep Image Features

An Explainable Deep Learning Framework for Detecting and Localising Smoke and Fire Incidents: Evaluation of Grad-CAM++ and LIME

Prediction of the Concentration and Source Contributions of PM2.5 and Gas-Phase Pollutants in an Urban Area with the SmartAQ Forecasting System

End-to-End Real-Time Service Provisioning Over a SDN-Controllable Analog mmWave Fiber -Wireless 5G X-Haul Network

Deep learning-enhanced nuclear medicine SPECT imaging applied to cardiac studies

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