.
Journal Papers
A Machine Learning High-Resolution PM 2.5 Forecast Model (SmartAQ 2+ ) Fusing Chemical Transport Model Predictions and Low-Cost Sensor Measurements
ACS ES&T Air 10.1021/acsestair.6c00113
Artificial intelligence prediction algorithms for refractive error onset and progression in children and adolescents: A systematic review and meta‐analysis
Acta Ophthalmologica 10.1111/aos.70207
Clinician-Centered Evaluation Framework for Explainable AI Heatmaps in OCT-Based Retinal Disease Classification
Journal of Imaging Vol. 12, No. 5, pp. 211 10.3390/jimaging12050211
Explainable Deep Learning Self-Supervised Vision Transformer for Fundus-Based Myopia Classification
Acta Ophthalmologica 10.1111/aos.70205
Explainable Machine Learning Prognosis of Coronary Artery Disease Using Lifestyle and Medical History Data
Applied Sciences Vol. 16, No. 11, pp. 5444 10.3390/app16115444
Explainable YOLOv8 model for solitary pulmonary nodules classification using positron emission tomography and computed tomography scans
Journal of Intelligent Systems Vol. 35, No. 1 10.1515/jisys-2025-0064
MedScanGAN: Synthetic PET & CT Scan Generation Using Conditional Generative Adversarial Networks for Medical AI Data Augmentation
Bioengineering Vol. 13, No. 3, pp. 281 10.3390/bioengineering13030281
A machine learning approach for determining solitary pulmonary nodule malignancy in patients undergoing PET/CT examination
Multimedia Tools and Applications Vol. 84, No. 32, pp. 39905-39924 10.1007/s11042-025-20737-x
A Review on SPECT Myocardial Perfusion Imaging Attenuation Correction Using Deep Learning
Applied Sciences Vol. 15, No. 20, pp. 11287 10.3390/app152011287
Artificial Intelligence Algorithms for Epiretinal Membrane Detection, Segmentation and Postoperative BCVA Prediction: A Systematic Review and Meta-Analysis
Applied Sciences Vol. 15, No. 22, pp. 12280 10.3390/app152212280
Artificial Intelligence Approaches for Geographic Atrophy Segmentation: A Systematic Review and Meta-Analysis
Bioengineering Vol. 12, No. 5, pp. 475 10.3390/bioengineering12050475
Improving Real-time High-Resolution Estimates of PM2.5 Concentration Fields in Urban Areas by the SmartAQ+ System with Data Fusion and Machine Learning
Atmospheric Environment 364 10.1016/j.atmosenv.2025.121665
Monitoring of Indoor Air Quality in a Classroom Combining a Low-Cost Sensor System and Machine Learning
Chemosensors Vol. 13, No. 4, pp. 148 10.3390/chemosensors13040148
Neural-FCM: a deep learning approach for weight matrix optimization in Fuzzy Cognitive Map classifiers
Applied Intelligence Vol. 55, No. 13 10.1007/s10489-025-06795-6
Utility of disease probability scores to guide decision-making during screening for phaeochromocytoma and paraganglioma: a machine learning modelling cross sectional study
eClinicalMedicine Vol. 82, pp. 103181 10.1016/j.eclinm.2025.103181
A Multi-Modal Machine Learning Methodology for Predicting Solitary Pulmonary Nodule Malignancy in Patients Undergoing PET/CT Examination
Big Data and Cognitive Computing Vol. 8, No. 8, pp. 85 10.3390/bdcc8080085
Between Two Worlds: Investigating the Intersection of Human Expertise and Machine Learning in the Case of Coronary Artery Disease Diagnosis
Bioengineering 11(10), 957 10.3390/bioengineering11100957/s1
Calibration and Inter-Unit Consistency Assessment of an Electrochemical Sensor System Using Machine Learning
Sensors Vol. 24, No. 13, pp. 4110 10.3390/s24134110
Evaluation of Air Quality in a Primary School Classroom During Wintertime
Indoor Air Vol. 2024, No. 1 10.1155/ina/7888273
Fuzzy Cognitive Map Applications in Medicine over the Last Two Decades: A Review Study
Bioengineering Vol. 11, No. 2, pp. 139 10.3390/bioengineering11020139
Integrating Machine Learning in Clinical Practice for Characterizing the Malignancy of Solitary Pulmonary Nodules in PET/CT Screening
Diseases Vol. 12, No. 6, pp. 115 10.3390/diseases12060115
A General Machine Learning Model for Assessing Fruit Quality Using Deep Image Features
AI Vol. 4, No. 4, pp. 812-830 10.3390/ai4040041
AI-based classification algorithms in SPECT myocardial perfusion imaging for cardiovascular diagnosis: a review
Nuclear Medicine Communications Vol. 44, No. 1, pp. 1-11 10.1097/mnm.0000000000001634
An Attention-Based Deep Convolutional Neural Network for Brain Tumor and Disorder Classification and Grading in Magnetic Resonance Imaging
Information Vol. 14, No. 3, pp. 174 10.3390/info14030174
Classification models for assessing coronary artery disease instances using clinical and biometric data: an explainable man-in-the-loop approach
Scientific Reports Vol. 13, No. 1 10.1038/s41598-023-33500-9
Deep learning-enhanced nuclear medicine SPECT imaging applied to cardiac studies
EJNMMI Physics Vol. 10, No. 1 10.1186/s40658-022-00522-7
Explainable Artificial Intelligence Method (ParaNet+) Localises Abnormal Parathyroid Glands in Scintigraphic Scans of Patients with Primary Hyperparathyroidism
Algorithms Vol. 16, No. 9, pp. 435 10.3390/a16090435
Explainable Deep Fuzzy Cognitive Map Diagnosis of Coronary Artery Disease: Integrating Myocardial Perfusion Imaging, Clinical Data, and Natural Language Insights
Applied Sciences Vol. 13, No. 21, pp. 11953 10.3390/app132111953
Field Calibration of a Low-Cost Air Quality Monitoring Device in an Urban Background Site Using Machine Learning Models
Atmosphere Vol. 14, No. 2, pp. 368 10.3390/atmos14020368
Fuzzy Cognitive Maps: Their Role in Explainable Artificial Intelligence
Applied Sciences Vol. 13, No. 6, pp. 3412 10.3390/app13063412
Industrial object and defect recognition utilizing multilevel feature extraction from industrial scenes with Deep Learning approach
Journal of Ambient Intelligence and Humanized Computing Vol. 14, No. 8, pp. 10263-10276 10.1007/s12652-021-03688-7
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 Vol. 13, No. 15, pp. 8839 10.3390/app13158839
Prediction of the Concentration and Source Contributions of PM2.5 and Gas-Phase Pollutants in an Urban Area with the SmartAQ Forecasting System
Atmosphere Vol. 15, No. 1, pp. 8 10.3390/atmos15010008
Uncovering the Black Box of Coronary Artery Disease Diagnosis: The Significance of Explainability in Predictive Models
Applied Sciences Vol. 13, No. 14, pp. 8120 10.3390/app13148120
A Deep Learning Methodology for the Detection of Abnormal Parathyroid Glands via Scintigraphy with 99mTc-Sestamibi
Diseases Vol. 10, No. 3, pp. 56 10.3390/diseases10030056
An Explainable Classification Method of SPECT Myocardial Perfusion Images in Nuclear Cardiology Using Deep Learning and Grad-CAM
Applied Sciences Vol. 12, No. 15, pp. 7592 10.3390/app12157592
An Explainable Deep Learning Framework for Detecting and Localising Smoke and Fire Incidents: Evaluation of Grad-CAM++ and LIME
Machine Learning and Knowledge Extraction Vol. 4, No. 4, pp. 1124-1135 10.3390/make4040057
Applications of Generative Adversarial Networks (GANs) in Positron Emission Tomography (PET) imaging: A review
European Journal of Nuclear Medicine and Molecular Imaging Vol. 49, No. 11, pp. 3717-3739 10.1007/s00259-022-05805-w
Artificial Intelligence Methods for Identifying and Localizing Abnormal Parathyroid Glands: A Review Study
Machine Learning and Knowledge Extraction Vol. 4, No. 4, pp. 814-826 10.3390/make4040040
Deep learning exploration for SPECT MPI polar map images classification in coronary artery disease
Annals of Nuclear Medicine Vol. 36, No. 9, pp. 823-833 10.1007/s12149-022-01762-4
Deep Learning Methods to Reveal Important X-ray Features in COVID-19 Detection: Investigation of Explainability and Feature Reproducibility
Reports Vol. 5, No. 2, pp. 20 10.3390/reports5020020
Detection and Localisation of Abnormal Parathyroid Glands: An Explainable Deep Learning Approach
Algorithms Vol. 15, No. 12, pp. 455 10.3390/a15120455
Advanced fuzzy cognitive maps: state-space and rule-based methodology for coronary artery disease detection
Biomedical Physics & Engineering Express Vol. 7, No. 4, pp. 045007 10.1088/2057-1976/abfd83
Automatic classification of solitary pulmonary nodules in PET/CT imaging employing transfer learning techniques
Medical & Biological Engineering & Computing Vol. 59, No. 6, pp. 1299-1310 10.1007/s11517-021-02378-y
Classification of lung nodule malignancy in computed tomography imaging utilising generative adversarial networks and semi-supervised transfer learning
Biocybernetics and Biomedical Engineering Vol. 41, No. 4, pp. 1243-1257 10.1016/j.bbe.2021.08.006
Modeling the spread of dangerous pandemics with the utilization of a hybrid-statistical–Advanced-Fuzzy-Cognitive-Map algorithm: the example of COVID-19
Research on Biomedical Engineering Vol. 37, No. 4, pp. 749-764 10.1007/s42600-021-00182-z
Multi-Input Deep Learning Approach for Cardiovascular Disease Diagnosis using Myocardial Perfusion Imaging and Clinical Data
Physica Medica 10.1016/j.ejmp.2021.04.011
Automatic characterization of myocardial perfusion imaging polar maps employing deep learning and data augmentation
Hellenic Journal of Nuclear Medicine 10.1967/s002449912101
Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks
Physical and Engineering Sciences in Medicine Vol. 43, No. 2, pp. 635-640 10.1007/s13246-020-00865-4
Extracting Possibly Representative COVID-19 Biomarkers from X-ray Images with Deep Learning Approach and Image Data Related to Pulmonary Diseases
Journal of Medical and Biological Engineering Vol. 40, No. 3, pp. 462-469 10.1007/s40846-020-00529-4
Non – invasive modelling methodology for the diagnosis of coronary artery disease using fuzzy cognitive maps
Computer Methods in Biomechanics and Biomedical Engineering Vol. 23, No. 12, pp. 879-887 10.1080/10255842.2020.1768534
Diagnostics
Diagnostics 10.3390/diagnostics
No results match your filters.
