Search Results - "Serra Aksoy"

An Explainable Web-Based Diagnostic System for Alzheimer's Disease Using XRAI and Deep Learning on Brain MRI.

Authors: Aksoy, Serra Daou, Arij

Source: Diagnostics (2075-4418); Oct2025, Vol. 15 Issue 20, p2559, 32p

Subject Terms: ALZHEIMER'S disease, DEEP learning, CLINICAL decision support systems, ARTIFICIAL intelligence, DATA visualization software, MAGNETIC resonance imaging, DIAGNOSTIC services, BRAIN imaging

Web-Based Multimodal Deep Learning Platform with XRAI Explainability for Real-Time Skin Lesion Classification and Clinical Decision Support.

Authors: Aksoy, Serra Demircioglu, Pinar Bogrekci, Ismail

Source: Cosmetics (2079-9284); Oct2025, Vol. 12 Issue 5, p194, 38p

Subject Terms: CLINICAL decision support systems, DEEP learning, MEDICAL technology, WEB-based user interfaces, REAL-time computing, SKIN diseases, CUTANEOUS manifestations of general diseases

An Explainable AI Framework for Stroke Classification Based on CT Brain Images.

Authors: Aksoy, Serra Demircioglu, Pinar Bogrekci, Ismail

Source: AI; Sep2025, Vol. 6 Issue 9, p202, 22p

Subject Terms: CLINICAL decision support systems, COMPUTER-aided diagnosis, CEREBRAL infarction, BRAIN tomography, ARTIFICIAL neural networks, EMERGENCY medicine, MEDICAL technology

SeruNet-MS: A Two-Stage Interpretable Framework for Multiple Sclerosis Risk Prediction with SHAP-Based Explainability.

Authors: Aksoy, Serra Demircioglu, Pinar Bogrekci, Ismail

Source: Neurology International; Sep2025, Vol. 17 Issue 9, p151, 26p

Subject Terms: MULTIPLE sclerosis, MACHINE learning, DECISION support systems, SYMPTOMS, RISK assessment, STATISTICAL bias

Sustainable Design and Lifecycle Prediction of Crusher Blades Through a Digital Replica-Based Predictive Prototyping Framework and Data-Efficient Machine Learning.

Authors: Sucuoglu, Hilmi Saygin Aksoy, Serra Demircioglu, Pinar et al.

Source: Sustainability (2071-1050); Aug2025, Vol. 17 Issue 16, p7543, 25p

A Web-Deployed, Explainable AI System for Comprehensive Brain Tumor Diagnosis.

Authors: Aksoy, Serra Demircioglu, Pinar Bogrekci, Ismail

Source: Neurology International; Aug2025, Vol. 17 Issue 8, p121, 23p

Subject Terms: BRAIN tumors, DIAGNOSIS, RADIOLOGY, WEBSITES, CLASSIFICATION, DEEP learning, ARTIFICIAL intelligence, IMAGE segmentation

Deep Learning-Based Web Application for Automated Skin Lesion Classification and Analysis.

Authors: Aksoy, Serra Demircioglu, Pinar Bogrekci, Ismail

Source: Dermato; Jun2025, Vol. 5 Issue 2, p7, 26p

Artificial Intelligence for Non-Destructive Imaging in Composite Materials.

Authors: Seckin, Mine Demircioglu, Pinar Seckin, Ahmet Cagdas et al.

Source: Eng (2673-4117); Mar2025, Vol. 6 Issue 3, p46, 32p

Subject Terms: ARTIFICIAL intelligence, IMAGE processing, COMPOSITE materials, DETECTORS, COST

Web-Based AI System for Detecting Apple Leaf and Fruit Diseases.

Authors: Aksoy, Serra Demircioglu, Pinar Bogrekci, Ismail

Source: AgriEngineering; Mar2025, Vol. 7 Issue 3, p51, 40p

Subject Terms: AGRICULTURE, NOSOLOGY, WEB-based user interfaces, BLOTCH diseases, INFORMATION resources management

AI-Powered Neuro-Oncology: EfficientNetB0's Role in Tumor Differentiation.

Authors: Aksoy, Serra Dasgupta, Pritika

Source: Clinical & Translational Neuroscience; Mar2025, Vol. 9 Issue 1, p2, 19p

Subject Terms: BRAIN tumors, TUMOR classification, ARTIFICIAL intelligence, DEEP learning, MAGNETIC resonance imaging

Advanced Artificial Intelligence Techniques for Comprehensive Dermatological Image Analysis and Diagnosis.

Authors: Aksoy, Serra Demircioglu, Pinar Bogrekci, Ismail

Source: Dermato; Dec2024, Vol. 4 Issue 4, p173-186, 14p

Enhancing Melanoma Diagnosis with Advanced Deep Learning Models Focusing on Vision Transformer, Swin Transformer, and ConvNeXt.

Authors: Aksoy, Serra Demircioglu, Pinar Bogrekci, Ismail

Source: Dermatopathology; Sep2024, Vol. 11 Issue 3, p239-252, 14p

Subject Terms: TRANSFORMER models, CONVOLUTIONAL neural networks, DEEP learning, COMPUTER-assisted image analysis (Medicine), MELANOMA diagnosis, MELANOMA

CLASSIFICATION OF VOC VAPORS USING MACHINE LEARNING ALGORITHMS.

Authors: Aksoy, Serra Özavşar, Muttalip Altındal, Ahmet

Source: Journal of Engineering Technology & Applied Sciences; 2022, Vol. 7 Issue 2, p97-107, 11p

Subject Terms: VOLATILE organic compounds, MACHINE learning, PHTHALOCYANINES, ISOPROPYL alcohol, K-nearest neighbor classification

Sustainable Green Conversion

Authors: Numan M. Durakbasa Kemal Güven Gülen

Resource Type: eBook.

Subjects: Manufactures, Industrial Management, Internet of things, Computer-aided engineering, Engineering design

Categories: TECHNOLOGY & ENGINEERING / Manufacturing, BUSINESS & ECONOMICS / Industrial Management, COMPUTERS / Design, Graphics & Media / CAD-CAM, COMPUTERS / Networking / General, TECHNOLOGY & ENGINEERING / Industrial Engineering, TECHNOLOGY & ENGINEERING / Industrial Design / General

Digitalization in Additive Manufacturing

Authors: Numan M. Durakbasa Kerim Cetinkaya Pinar Demircioglu et al.

Resource Type: eBook.

Categories: TECHNOLOGY & ENGINEERING / Industrial Engineering

Adversarial Deep Generative Techniques for Early Diagnosis of Neurological Conditions and Mental Health Practises

Authors: Abhishek Kumar Fernando Ortiz-Rodriguez Jose Braga De Vasconcelos et al.

Resource Type: eBook.

Subjects: Artificial intelligence--Medical applications, Mental illness--Diagnosis--Technological innovations, Nervous system--Diseases--Diagnosis--Technological innovations

Categories: COMPUTERS / Data Science / General

Industrial Engineering in the Industry 4.0 Era : Selected Papers From ISPR2023, October 5-7, 2023, Antalya

Authors: Numan M. Durakbasa M. Güneş Gençyılmaz

Resource Type: eBook.

Subjects: Manufactures, Industrial Management, Internet of things, Computer-aided engineering, Engineering design

Categories: TECHNOLOGY & ENGINEERING / Manufacturing, BUSINESS & ECONOMICS / Industrial Management, COMPUTERS / Design, Graphics & Media / CAD-CAM, COMPUTERS / Networking / General, TECHNOLOGY & ENGINEERING / Industrial Engineering, TECHNOLOGY & ENGINEERING / Industrial Design / General