Christos Davatzikos

Bias in machine learning models can be significantly mitigated by careful training: Evidence from neuroimaging studies

2023 · 72 Zit. · Proceedings of the National Academy of Sciences

Performance of ChatGPT on the MCAT: The Road to Personalized and Equitable Premedical Learning

2023 · 52 Zit.

The Federated Tumor Segmentation (FeTS) Challenge

2021 · 42 Zit. · arXiv (Cornell University)

GaNDLF: A Generally Nuanced Deep Learning Framework for Scalable End-to-End Clinical Workflows in Medical Imaging

2021 · 10 Zit. · Edinburgh Research Explorer

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results

2021 · 7 Zit. · arXiv (Cornell University)

Commentary to “Translational machine learning for child and adolescent psychiatry”

2022 · 6 Zit. · Journal of Child Psychology and Psychiatry

NIMG-66. AI-BASED PROGNOSTIC IMAGING BIOMARKERS FOR PRECISION NEUROONCOLOGY AND THE RESPOND CONSORTIUM

2020 · 3 Zit. · Neuro-Oncology

Comparative assessment of fairness definitions and bias mitigation strategies in machine learning-based diagnosis of Alzheimer’s disease from MR images

2025 · 2 Zit.

AI‐derived endophenotypes are causally associated with Alzheimer's disease

2024 · 1 Zit. · Alzheimer s & Dementia

Comparative assessment of fairness definitions and bias mitigation strategies in machine learning-based diagnosis of Alzheimer's disease from MR images

2025 · 0 Zit. · ArXiv.org

AI‐derived endophenotypes are causally associated with Alzheimer's disease

2024 · 0 Zit. · Alzheimer s & Dementia

Ensuring Fairness in Detecting Mild Cognitive Impairment with MRI.

2024 · 0 Zit. · PubMed