Found: 27
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An Explainable Deep Learning Framework for Detecting and Localising Smoke and Fire Incidents: Evaluation of Grad-CAM++ and LIME.
- Published in:
- Machine Learning & Knowledge Extraction, 2022, v. 4, n. 4, p. 1124, doi. 10.3390/make4040057
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- Article
Artificial Intelligence Methods for Identifying and Localizing Abnormal Parathyroid Glands: A Review Study.
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- Machine Learning & Knowledge Extraction, 2022, v. 4, n. 4, p. 814, doi. 10.3390/make4040040
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- Publication type:
- Article
Automatic classification of solitary pulmonary nodules in PET/CT imaging employing transfer learning techniques.
- Published in:
- 2021
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- Publication type:
- journal article
A Multi-Modal Machine Learning Methodology for Predicting Solitary Pulmonary Nodule Malignancy in Patients Undergoing PET/CT Examination.
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- Big Data & Cognitive Computing, 2024, v. 8, n. 8, p. 85, doi. 10.3390/bdcc8080085
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- Publication type:
- Article
Classification models for assessing coronary artery disease instances using clinical and biometric data: an explainable man-in-the-loop approach.
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- Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-33500-9
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- Article
Deep learning-enhanced nuclear medicine SPECT imaging applied to cardiac studies.
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- EJNMMI Physics, 2023, v. 10, n. 1, p. 1, doi. 10.1186/s40658-022-00522-7
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- Publication type:
- Article
Prediction of the Concentration and Source Contributions of PM 2.5 and Gas-Phase Pollutants in an Urban Area with the SmartAQ Forecasting System.
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- Atmosphere, 2024, v. 15, n. 1, p. 8, doi. 10.3390/atmos15010008
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- Publication type:
- Article
Field Calibration of a Low-Cost Air Quality Monitoring Device in an Urban Background Site Using Machine Learning Models.
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- Atmosphere, 2023, v. 14, n. 2, p. 368, doi. 10.3390/atmos14020368
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- Publication type:
- Article
Calibration and Inter-Unit Consistency Assessment of an Electrochemical Sensor System Using Machine Learning.
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- Sensors (14248220), 2024, v. 24, n. 13, p. 4110, doi. 10.3390/s24134110
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- Publication type:
- Article
Between Two Worlds: Investigating the Intersection of Human Expertise and Machine Learning in the Case of Coronary Artery Disease Diagnosis.
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- Bioengineering (Basel), 2024, v. 11, n. 10, p. 957, doi. 10.3390/bioengineering11100957
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- Publication type:
- Article
Fuzzy Cognitive Map Applications in Medicine over the Last Two Decades: A Review Study.
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- Bioengineering (Basel), 2024, v. 11, n. 2, p. 139, doi. 10.3390/bioengineering11020139
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- Publication type:
- Article
Explainable Deep Fuzzy Cognitive Map Diagnosis of Coronary Artery Disease: Integrating Myocardial Perfusion Imaging, Clinical Data, and Natural Language Insights.
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- Applied Sciences (2076-3417), 2023, v. 13, n. 21, p. 11953, doi. 10.3390/app132111953
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- Publication type:
- Article
Innovative Attention-Based Explainable Feature-Fusion VGG19 Network for Characterising Myocardial Perfusion Imaging SPECT Polar Maps in Patients with Suspected Coronary Artery Disease.
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- Applied Sciences (2076-3417), 2023, v. 13, n. 15, p. 8839, doi. 10.3390/app13158839
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- Publication type:
- Article
Uncovering the Black Box of Coronary Artery Disease Diagnosis: The Significance of Explainability in Predictive Models.
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- Applied Sciences (2076-3417), 2023, v. 13, n. 14, p. 8120, doi. 10.3390/app13148120
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- Publication type:
- Article
Fuzzy Cognitive Maps: Their Role in Explainable Artificial Intelligence.
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- Applied Sciences (2076-3417), 2023, v. 13, n. 6, p. 3412, doi. 10.3390/app13063412
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- Publication type:
- Article
An Explainable Classification Method of SPECT Myocardial Perfusion Images in Nuclear Cardiology Using Deep Learning and Grad-CAM.
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- Applied Sciences (2076-3417), 2022, v. 12, n. 15, p. 7592, doi. 10.3390/app12157592
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- Publication type:
- Article
Explainable Artificial Intelligence Method (ParaNet+) Localises Abnormal Parathyroid Glands in Scintigraphic Scans of Patients with Primary Hyperparathyroidism.
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- Algorithms, 2023, v. 16, n. 9, p. 435, doi. 10.3390/a16090435
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- Publication type:
- Article
Detection and Localisation of Abnormal Parathyroid Glands: An Explainable Deep Learning Approach.
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- Algorithms, 2022, v. 15, n. 12, p. 455, doi. 10.3390/a15120455
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- Publication type:
- Article
Automatic characterization of myocardial perfusion imaging polar maps employing deep learning and data augmentation.
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- Hellenic Journal of Nuclear Medicine, 2020, v. 23, n. 2, p. 125
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- Publication type:
- Article
Deep learning exploration for SPECT MPI polar map images classification in coronary artery disease.
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- Annals of Nuclear Medicine, 2022, v. 36, n. 9, p. 823, doi. 10.1007/s12149-022-01762-4
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- Publication type:
- Article
A General Machine Learning Model for Assessing Fruit Quality Using Deep Image Features.
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- AI, 2023, v. 4, n. 4, p. 812, doi. 10.3390/ai4040041
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- Publication type:
- Article
Deep Learning Methods to Reveal Important X-ray Features in COVID-19 Detection: Investigation of Explainability and Feature Reproducibility.
- Published in:
- Reports (MDPI AG), 2022, v. 5, n. 2, p. N.PAG, doi. 10.3390/reports5020020
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- Publication type:
- Article
Integrating Machine Learning in Clinical Practice for Characterizing the Malignancy of Solitary Pulmonary Nodules in PET/CT Screening.
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- Diseases, 2024, v. 12, n. 6, p. 115, doi. 10.3390/diseases12060115
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- Publication type:
- Article
A Deep Learning Methodology for the Detection of Abnormal Parathyroid Glands via Scintigraphy with 99m Tc-Sestamibi.
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- Diseases, 2022, v. 10, n. 3, p. N.PAG, doi. 10.3390/diseases10030056
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- Publication type:
- Article
Deep Learning Assessment for Mining Important Medical Image Features of Various Modalities.
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- Diagnostics (2075-4418), 2022, v. 12, n. 10, p. 2333, doi. 10.3390/diagnostics12102333
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- Publication type:
- Article
An Attention-Based Deep Convolutional Neural Network for Brain Tumor and Disorder Classification and Grading in Magnetic Resonance Imaging.
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- Information (2078-2489), 2023, v. 14, n. 3, p. 174, doi. 10.3390/info14030174
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- Publication type:
- Article
Applications of Generative Adversarial Networks (GANs) in Positron Emission Tomography (PET) imaging: A review.
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- European Journal of Nuclear Medicine & Molecular Imaging, 2022, v. 49, n. 11, p. 3717, doi. 10.1007/s00259-022-05805-w
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- Publication type:
- Article