Search Results - "Apostolopoulos, Dimitris J."
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Applications of Generative Adversarial Networks (GANs) in Positron Emission Tomography (PET) imaging: A review
Published in European journal of nuclear medicine and molecular imaging (01-09-2022)“…Purpose This paper reviews recent applications of Generative Adversarial Networks (GANs) in Positron Emission Tomography (PET) imaging. Recent advances in Deep…”
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A Deep Learning Methodology for the Detection of Abnormal Parathyroid Glands via Scintigraphy with 99mTc-Sestamibi
Published in Diseases (23-08-2022)“…Background: Parathyroid proliferative disorder encompasses a wide spectrum of diseases, including parathyroid adenoma (PTA), parathyroid hyperplasia, and…”
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Deep learning exploration for SPECT MPI polar map images classification in coronary artery disease
Published in Annals of nuclear medicine (01-09-2022)“…Objective The exploration and the implementation of a deep learning method using a state-of-the-art convolutional neural network for the classification of…”
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Explainable Artificial Intelligence Method (ParaNet+) Localises Abnormal Parathyroid Glands in Scintigraphic Scans of Patients with Primary Hyperparathyroidism
Published in Algorithms (01-09-2023)“…The pre-operative localisation of abnormal parathyroid glands (PG) in parathyroid scintigraphy is essential for suggesting treatment and assisting surgery…”
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Detection and Localisation of Abnormal Parathyroid Glands: An Explainable Deep Learning Approach
Published in Algorithms (01-12-2022)“…Parathyroid scintigraphy with 99mTc-sestamibi (MIBI) is an established technique for localising abnormal parathyroid glands (PGs). However, the identification…”
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Deep Learning Methods to Reveal Important X-ray Features in COVID-19 Detection: Investigation of Explainability and Feature Reproducibility
Published in Reports (MDPI) (01-06-2022)“…X-ray technology has been recently employed for the detection of the lethal human coronavirus disease 2019 (COVID-19) as a timely, cheap, and helpful ancillary…”
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A Multi-Modal Machine Learning Methodology for Predicting Solitary Pulmonary Nodule Malignancy in Patients Undergoing PET/CT Examination
Published in Big data and cognitive computing (01-08-2024)“…This study explores a multi-modal machine-learning-based approach to classify solitary pulmonary nodules (SPNs). Non-small cell lung cancer (NSCLC), presenting…”
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Integrating Machine Learning in Clinical Practice for Characterizing the Malignancy of Solitary Pulmonary Nodules in PET/CT Screening
Published in Diseases (01-06-2024)“…The study investigates the efficiency of integrating Machine Learning (ML) in clinical practice for diagnosing solitary pulmonary nodules' (SPN) malignancy…”
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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
Published in Applied sciences (01-07-2023)“…Greece is among the European Union members topping the list of deaths related to coronary artery disease. Myocardial Perfusion Imaging (MPI) with Single-Photon…”
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Artificial Intelligence Methods for Identifying and Localizing Abnormal Parathyroid Glands: A Review Study
Published in Machine learning and knowledge extraction (01-09-2022)“…Background: Recent advances in Artificial Intelligence (AI) algorithms, and specifically Deep Learning (DL) methods, demonstrate substantial performance in…”
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Assessment of absolute Tc-99m tetrofosmin retention in the myocardium as an index of myocardial blood flow and coronary flow reserve by gated-SPECT/CT: a feasibility study
Published in Annals of nuclear medicine (01-08-2015)“…Objective Estimation of myocardial blood flow (MBF) and coronary flow reserve (CFR) by SPECT myocardial perfusion imaging (MPI) remains challenging. Our aim…”
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Tc-99m depreotide SPECT/CT for lymph node staging of non-small-cell lung cancer
Published in Annals of nuclear medicine (01-06-2014)“…Objective To investigate the potential role of Tc-99m depreotide (Tc-DEPR) in the preoperative lymph node (N) staging of non-small-cell lung cancer (NSCLC)…”
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Automatic characterization of myocardial perfusion imaging polar maps employing deep learning and data augmentation
Published in Hellenic journal of nuclear medicine (01-05-2020)“…OBJECTIVETo investigate a deep learning technique, more specifically state-of-the-art convolutional neural networks (CNN), for automatic characterization of…”
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14
Adherence of Tc-99m agents to plastic syringes
Published in Journal of nuclear cardiology (01-12-2016)Get full text
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Automatic classification of solitary pulmonary nodules in PET/CT imaging employing transfer learning techniques
Published in Medical & biological engineering & computing (01-06-2021)“…Early and automatic diagnosis of Solitary Pulmonary Nodules (SPN) in Computed Tomography (CT) chest scans can provide early treatment for patients with lung…”
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An Explainable Classification Method of SPECT Myocardial Perfusion Images in Nuclear Cardiology Using Deep Learning and Grad-CAM
Published in Applied sciences (01-08-2022)“…Background: This study targets the development of an explainable deep learning methodology for the automatic classification of coronary artery disease,…”
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Technetium-99m depreotide imaging by single photon emission tomography/low resolution computed tomography in malignant lymphomas: comparison with gallium-67 citrate
Published in Annals of nuclear medicine (01-11-2010)“…Objective Previous studies have demonstrated the feasibility of targeting lymphoma lesions with somatostatin receptor binding agents, mainly with…”
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Advanced fuzzy cognitive maps: state-space and rule-based methodology for coronary artery disease detection
Published in Biomedical physics & engineering express (01-07-2021)“…According to the World Health Organization, 50% of deaths in European Union are caused by Cardiovascular Diseases (CVD), while 80% of premature heart diseases…”
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CT-based attenuation correction in Tl-201 myocardial perfusion scintigraphy is less effective than non-corrected SPECT for risk stratification
Published in Journal of nuclear cardiology (01-06-2014)“…Previous studies advocate the use of attenuation correction in myocardial perfusion scintigraphy (MPS) for patient risk stratification. Six-hundred and…”
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Atypical Bilateral Stress Fractures of the Femoral Shaft Diagnosed by Bone Scintigraphy in a Woman With Osteoporosis
Published in Clinical nuclear medicine (01-11-2013)“…ABSTRACTRecent case series have identified the presence of atypical insufficiency fractures at the diaphyseal femur of osteoporotic patients, which are…”
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