All my publications

A Deep Learning Methodology for the Detection of Abnormal Advanced fuzzy cognitive maps state-space and rule-based A General Machine Learning Model for Assessing Fruit Quality Using Deep Image Features AI-based classification algorithms in SPECT myocardial A machine learning approach for determining solitary pulmonary nodule malignancy in patients undergoing PETCT examination A Multi-Modal Machine Learning Methodology for Predicting Solitary Pulmonary Nodule Malignancy An Attention-Based Deep Convolutional Neural Network for Brain Tumor and Disorder Classification and Grading in Magnetic Resonance Imaging An Explainable Classification Method of SPECT Myocardial Perfusion Images in Nuclear Cardiology Using Deep Learning and Grad-CAM An Explainable Deep Learning Framework for Detecting and LIME GRADCAM FIRE Applications of Generative Adversarial Networks in Positron Emission Tomography imaging A review A Review on SPECT Myocardial Perfusion Imaging Attenuation Correction Using Deep Learning Artificial Intelligence Algorithms for Epiretinal Membrane Detection, Segmentation and Postoperative BCVA Prediction A Systematic Review and Meta-Analysis Artificial Intelligence Approaches for Geographic Atrophy Segmentation A Systematic Review and Meta-Analysis Artificial Intelligence Methods for Identifying and Localizing Automatic characterization of myocardial perfusion Automatic classiication of solitary pulmonary nodules in PETCT Between Two Worlds Investigating the Intersection of Human Expertise Calibration and Inter-Unit Consistency Assessment of an Electrochemical Sensor System Using Machine Learning Classification models for assessing Classification of lung nodule malignancy in Covid‑19 automatic detection from X‑ray images utilizing transfer Deep learning-enhanced nuclear medicine Deep Learning Assessment for Mining Important Medical Deep learning exploration for SPECT MPI polar map images classifcation in coronary artery disease Deep Learning Methods to Reveal Important X-ray Features in COVID-19 Detection Investigation of Explainability and Feature Reproducibility Detection and Localisation of Abnormal Parathyroid Glands Evaluation of Air Quality in a Primary School Classroom During Wintertime Explainable Artificial Intelligence Method (ParaNet+) Localises Abnormal Parathyroid Glands in Scintigraphic Scans of Patients with Primary Hyperparathyroidism Explainable Deep Fuzzy Cognitive Map Diagnosis of Coronary Artery Disease Integrating Myocardial Perfusion Imaging, Clinical Data, and Natural Language Insights Explainable YOLOv8 model for Solitary Pulmonary Nodules Classification using Positron Emission Tomography and Computed Tomography Scans Extracting Possibly Representative COVID‑19 Biomarkers from X‑ray Field Calibration of a Low-Cost Air Quality Monitoring Device Fuzzy Cognitive Map Applications in Medicine over the Last Two Decades A Review Study Fuzzy Cognitive Maps Their Role in Explainable Artificial Intelligence Improving real-time high-resolution estimates of PM2.5 concentration fields Industrial object and defect recognition utilizing multilevel feature extraction from industrial scenes with Deep Learning approach Innovative Attention-Based Explainable Feature-Fusion VGG19 Network for Characterising Myocardial Perfusion Imaging SPECT Polar Maps in Patients with Suspected Coronary Artery Disease Integrating Machine Learning in Clinical Practice for Characterizing the Malignancy of Solitary Pulmonary Nodules in PETCT Screening MedScanGAN Synthetic PET & CT Scan Generation Using Conditional Generative Adversarial Networks for Medical AI Data Augmentation Modeling the spread of dangerous pandemics with the utilization Monitoring of Indoor Air Quality in a Classroom Combining a Low-Cost Sensor System and Machine Learning Multi-input-deep-learning-approach-for-cad Neural-FCM a deep learning approach for weight matrix optimization in Fuzzy Cognitive Map classifiers Non – invasive modelling methodology for the Prediction of the Concentration and Source Contributions of PM2.5 and Gas-Phase Pollutants in an Urban Area with the SmartAQ Forecasting System The Role of Artificial Intelligence in the Diagnosis, Segmentation, and Prediction of Retinal Vein Occlusion A Systematic Review Uncovering the Black Box of Coronary Artery Disease Diagnosis The Significance of Explainability in Predictive Models Utility of disease probability scores to guide decision-making during screening for phaeochromocytoma and paraganglioma a machine learning modelling cross sectional study