Dilber Uzun Ozsahin

Orcid: 0000-0002-3873-1410

According to our database1, Dilber Uzun Ozsahin authored at least 31 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
EVNN-GRFN integrated with BFGS-ARMA for rainfall prediction in Bangladesh.
Earth Sci. Informatics, February, 2025

Groundwater modelling and GIS-based vulnerability mapping coupled with evolutionary metaheuristic optimization in the eastern coast of Saudi Arabia.
Earth Sci. Informatics, January, 2025

Network-Driven Methods Using Gene Expression Signatures to Find Therapeutic Targets in Breast Cancer Validated via Molecular Dynamics Studies.
J. Chem. Inf. Model., 2025

Machine learning prediction of overall survival in prostate adenocarcinoma using ensemble techniques.
Comput. Biol. Medicine, 2025

Incorporating time as a third dimension in transcriptomic analysis using machine learning and explainable AI.
Comput. Biol. Chem., 2025

The Comparative Analysis of the Effectiveness of the Energy Resources Using Fuzzy PROMETHE-TOPSIS Method.
Proceedings of the 22nd IEEE International Multi-Conference on Systems, Signals & Devices, 2025

2024
Lie Symmetry Analysis and Explicit Solutions to the Estevez-Mansfield-Clarkson Equation.
Symmetry, September, 2024

Inertial Halpern-type methods for variational inequality with application to medical image recovery.
Commun. Nonlinear Sci. Numer. Simul., 2024

Hybridized Paradigms for The Clinical Prediction of Lung Cancer.
Proceedings of the 17th International Conference on Development in eSystem Engineering, 2024

A Decision-Making Approach in The Clinical Diagnosis and Treatment of Vulva Cancer.
Proceedings of the 17th International Conference on Development in eSystem Engineering, 2024

Application of Fuzzy PROMETHEE in the Analysis of Childbirth Techniques.
Proceedings of the 17th International Conference on Development in eSystem Engineering, 2024

Deep learning-based CT-scan image classification for accurate detection of pancreatic cancer: A Comparative Study of Different Pre-Trained Models.
Proceedings of the 17th International Conference on Development in eSystem Engineering, 2024

Evaluating ELISA for Prostate Cancer Detection: A Hybrid PROMETHEE-TOPSIS Approach Using Prostate-Specific Antigen Levels.
Proceedings of the 17th International Conference on Development in eSystem Engineering, 2024

Machine Learning-Based Predictive Modeling of Mental Health Comorbidities.
Proceedings of the 17th International Conference on Development in eSystem Engineering, 2024

Global Life Expectancy Prediction Using Machine Learning Ensemble Techniques.
Proceedings of the 17th International Conference on Development in eSystem Engineering, 2024

Selection Techniques in Genetic Algorithm.
Proceedings of the 17th International Conference on Development in eSystem Engineering, 2024

Integrating ANFIS, ANN, & MLR with MCDM for Accurate Prediction of Lung Cancer for Improved Clinical Decision Support.
Proceedings of the 17th International Conference on Development in eSystem Engineering, 2024

Evaluation of Bone Cancer Treatment Techniques.
Proceedings of the 17th International Conference on Development in eSystem Engineering, 2024

Leveraging the Novel MSHA Model: A Focus on Adrenocortical Carcinoma.
Proceedings of the 17th International Conference on Development in eSystem Engineering, 2024

Classification of Osteoporosis in Knee X-ray using Transfer Learning and Random Forest.
Proceedings of the 17th International Conference on Development in eSystem Engineering, 2024

Ensemble Predictive Modeling for Dementia Diagnosis.
Proceedings of the 17th International Conference on Development in eSystem Engineering, 2024

Effects of Hybrid Contrast Enhancement and Bilateral Filtering for Enhancing Ultrasound Thyroid Cancer Images Classification.
Proceedings of the 17th International Conference on Development in eSystem Engineering, 2024

Machine Learning Techniques Reveal the Most Effective and Influencing Gender-based Scan Acquisition Parameters that Contribute to Patient Dose Undergoing Enhanced CT abdomen and pelvis examinations.
Proceedings of the 17th International Conference on Development in eSystem Engineering, 2024

2023
Adaptive Elastic Net Based on Modified PSO for Variable Selection in Cox Model With High-Dimensional Data: A Comprehensive Simulation Study.
IEEE Access, 2023

2021
Radiologists versus Deep Convolutional Neural Networks: A Comparative Study for Diagnosing COVID-19.
Comput. Math. Methods Medicine, 2021

Performance Ranking of Diagnostic SARS-CoV-2 IgG Antibody Tests by Using Multi-Criteria Decision-Making Theory.
Proceedings of the 14th International Conference on Developments in eSystems Engineering, 2021

Evaluation of Cement Manufacturing Methods Using Multi Criteria Decision Analysis (MCDA).
Proceedings of the 14th International Conference on Developments in eSystems Engineering, 2021

2020
Capacity Evaluation of Diagnostic Tests For COVID-19 Using Multicriteria Decision-Making Techniques.
Comput. Math. Methods Medicine, 2020

Review on Diagnosis of COVID-19 from Chest CT Images Using Artificial Intelligence.
Comput. Math. Methods Medicine, 2020

2018
Deep networks in identifying CT brain hemorrhage.
J. Intell. Fuzzy Syst., 2018

2017
Sliding Window Based Machine Learning System for the Left Ventricle Localization in MR Cardiac Images.
Appl. Comput. Intell. Soft Comput., 2017


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