Applications of Generative Adversarial Networks (GANs) in Positron Emission Tomography (PET) imaging: A review von Apostolopoulos, Ioannis D., Papathanasiou, Nikolaos D., Apostolopoulos, Dimitris J., Panayiotakis, George S.

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An Attention-Based Deep Convolutional Neural Network for Brain Tumor and Disorder Classification and Grading in Magnetic Resonance Imaging von Apostolopoulos, Ioannis D, Aznaouridis, Sokratis, Tzani, Mpesi

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Calibration and Inter-Unit Consistency Assessment of an Electrochemical Sensor System Using Machine Learning von Apostolopoulos, Ioannis D, Androulakis, Silas, Kalkavouras, Panayiotis, Fouskas, George, Pandis, Spyros N

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Classification models for assessing coronary artery disease instances using clinical and biometric data: an explainable man-in-the-loop approach von Samaras, Agorastos-Dimitrios, Moustakidis, Serafeim, Apostolopoulos, Ioannis D., Papandrianos, Nikolaos, Papageorgiou, Elpiniki

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Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks von Apostolopoulos, Ioannis D., Mpesiana, Tzani A.

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Fuzzy Cognitive Maps: Their Role in Explainable Artificial Intelligence von Apostolopoulos, Ioannis D., Groumpos, Peter P.

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A Deep Learning Methodology for the Detection of Abnormal Parathyroid Glands via Scintigraphy with 99mTc-Sestamibi von Apostolopoulos, Ioannis D., Papathanasiou, Nikolaos D., Apostolopoulos, Dimitris J.

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Deep learning exploration for SPECT MPI polar map images classification in coronary artery disease von Papandrianos, Nikolaos I., Apostolopoulos, Ioannis D., Feleki, Anna, Apostolopoulos, Dimitris J., Papageorgiou, Elpiniki I.

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Explainable Artificial Intelligence Method (ParaNet+) Localises Abnormal Parathyroid Glands in Scintigraphic Scans of Patients with Primary Hyperparathyroidism von Apostolopoulos, Dimitris J, Apostolopoulos, Ioannis D, Papathanasiou, Nikolaos D, Spyridonidis, Trifon, Panayiotakis, George S

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Explainable Deep Fuzzy Cognitive Map Diagnosis of Coronary Artery Disease: Integrating Myocardial Perfusion Imaging, Clinical Data, and Natural Language Insights von Feleki, Anna, Apostolopoulos, Ioannis D, Moustakidis, Serafeim, Papageorgiou, Elpiniki I, Papathanasiou, Nikolaos, Apostolopoulos, Dimitrios, Papandrianos, Nikolaos

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Detection and Localisation of Abnormal Parathyroid Glands: An Explainable Deep Learning Approach von Apostolopoulos, Dimitris J, Apostolopoulos, Ioannis D, Papathanasiou, Nikolaos D, Spyridonidis, Trifon, Panayiotakis, George S

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Deep Learning Methods to Reveal Important X-ray Features in COVID-19 Detection: Investigation of Explainability and Feature Reproducibility von Apostolopoulos, Ioannis D., Apostolopoulos, Dimitris J., Papathanasiou, Nikolaos D.

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Integrating Machine Learning in Clinical Practice for Characterizing the Malignancy of Solitary Pulmonary Nodules in PET/CT Screening von Apostolopoulos, Ioannis D, Papathanasiou, Nikolaos D, Apostolopoulos, Dimitris J, Papandrianos, Nikolaos, Papageorgiou, Elpiniki I

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Between Two Worlds: Investigating the Intersection of Human Expertise and Machine Learning in the Case of Coronary Artery Disease Diagnosis von Apostolopoulos, Ioannis D, Papandrianos, Nikolaos I, Apostolopoulos, Dimitrios J, Papageorgiou, Elpiniki

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A Multi-Modal Machine Learning Methodology for Predicting Solitary Pulmonary Nodule Malignancy in Patients Undergoing PET/CT Examination von Apostolopoulos, Ioannis D, Papathanasiou, Nikolaos D, Apostolopoulos, Dimitris J, Papandrianos, Nikolaos, Papageorgiou, Elpiniki I

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Field Calibration of a Low-Cost Air Quality Monitoring Device in an Urban Background Site Using Machine Learning Models von Apostolopoulos, Ioannis D, Fouskas, George, Pandis, Spyros N

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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 von Siouti, Evangelia, Skyllakou, Ksakousti, Kioutsioukis, Ioannis, Patoulias, David, Apostolopoulos, Ioannis D., Fouskas, George, Pandis, Spyros N.

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A General Machine Learning Model for Assessing Fruit Quality Using Deep Image Features von Apostolopoulos, Ioannis D., Tzani, Mpesi, Aznaouridis, Sokratis I.

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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 Dise... von Apostolopoulos, Ioannis D., Papathanasiou, Nikolaοs D., Papandrianos, Nikolaos, Papageorgiou, Elpiniki, Apostolopoulos, Dimitris J.

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Deep learning-enhanced nuclear medicine SPECT imaging applied to cardiac studies von Apostolopoulos, Ioannis D., Papandrianos, Nikolaos I., Feleki, Anna, Moustakidis, Serafeim, Papageorgiou, Elpiniki I.

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