Nils D. Forkert
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Fairness-related performance and explainability effects in deep learning models for brain image analysis
2022 · 37 Zit. · Journal of Medical Imaging
An international study presenting a federated learning AI platform for pediatric brain tumors
2024 · 33 Zit. · Nature Communications
Towards objective and systematic evaluation of bias in artificial intelligence for medical imaging
2024 · 20 Zit. · Journal of the American Medical Informatics Association
Disproportionate Subgroup Impacts and Other Challenges of Fairness in Artificial Intelligence for Medical Image Analysis
2022 · 17 Zit. · Lecture notes in computer science
Challenges and Potential of Artificial Intelligence in Neuroradiology
2024 · 8 Zit. · Clinical Neuroradiology
On the Relationship Between Open Science in Artificial Intelligence for Medical Imaging and Global Health Equity
2023 · 5 Zit. · Lecture notes in computer science
Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge
2025 · 4 Zit. · Nature Communications
Towards objective and systematic evaluation of bias in artificial intelligence for medical imaging
2023 · 2 Zit. · arXiv (Cornell University)
Connecting algorithmic fairness and fair outcomes in a sociotechnical simulation case study of AI-assisted healthcare
2025 · 0 Zit. · Nature Communications
Distinct visual biases affect humans and artificial intelligence in medical imaging diagnoses
2025 · 0 Zit. · npj Digital Medicine
Simulating Inter-observer Variability Across Clinical Experience Levels for Brain Tumour Segmentation
2025 · 0 Zit. · Lecture notes in computer science
Assessing the Impact of Sociotechnical Harms in AI-Based Medical Image Analysis
2024 · 0 Zit. · Lecture notes in computer science
Developing Machine Learning Models for Cognitive Disorder Classification Using Administrative Health Data and Specialist‐Confirmed Diagnoses
2025 · 0 Zit. · Alzheimer s & Dementia
Using domain adaptation and inductive transfer learning to improve patient outcome prediction in the intensive care unit
2023 · 0 Zit. · Research Square (Research Square)