Barış Türkbey

Federated learning for predicting clinical outcomes in patients with COVID-19

2021 · 657 Zit. · Nature Medicine

Federated learning improves site performance in multicenter deep learning without data sharing

2020 · 219 Zit. · Journal of the American Medical Informatics Association

Comparative Evaluation of LLMs in Clinical Oncology

2024 · 87 Zit. · NEJM AI

Augmented Radiologist Workflow Improves Report Value and Saves Time: A Potential Model for Implementation of Artificial Intelligence

2019 · 65 Zit. · Academic Radiology

Federated Learning used for predicting outcomes in SARS-COV-2 patients

2021 · 44 Zit.

Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation

2021 · 36 Zit. · arXiv (Cornell University)

The future of multimodal artificial intelligence models for integrating imaging and clinical metadata: a narrative review

2024 · 29 Zit. · Diagnostic and Interventional Radiology

The Low Rate of Adherence to Checklist for Artificial Intelligence in Medical Imaging Criteria Among Published Prostate MRI Artificial Intelligence Algorithms

2022 · 23 Zit. · Journal of the American College of Radiology

Assessing the clinical performance of artificial intelligence software for prostate cancer detection on MRI

2022 · 13 Zit. · European Radiology

AI-Assisted CT as a Clinical and Research Tool for COVID-19

2021 · 5 Zit. · Frontiers in Artificial Intelligence

A selective CutMix approach improves generalizability of deep learning-based grading and risk assessment of prostate cancer

2024 · 5 Zit. · Journal of Pathology Informatics

Generative Artificial Intelligence in Prostate Cancer Imaging

2025 · 3 Zit. · Balkan Medical Journal

Evaluating the efficacy of artificial intelligence chatbots in urological health: insights for urologists on patient interactions with large language models

2024 · 2 Zit. · Translational Andrology and Urology

Domain Generalization with Adversarial Intensity Attack for Medical Image Segmentation

2023 · 2 Zit. · arXiv (Cornell University)

From manual clinical criteria to machine learning algorithms: Comparing outcome endpoints derived from diverse electronic health record data modalities

2025 · 1 Zit. · PLOS Digital Health