Nickolas Papanikolaou

Artificial intelligence and machine learning in cancer imaging

2022 · 289 Zit. · Communications Medicine

FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare

2023 · 38 Zit. · arXiv (Cornell University)

AI and human interactions in prostate cancer diagnosis using MRI

2025 · 12 Zit. · European Radiology

FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging

2021 · 12 Zit. · arXiv (Cornell University)

Medical machine learning operations: a framework to facilitate clinical AI development and deployment in radiology

2025 · 8 Zit. · European Radiology

Foundation models for radiology—the position of the AI for Health Imaging (AI4HI) network

2025 · 7 Zit. · Insights into Imaging

AI Model Passport: Data and system traceability framework for transparent AI in health

2025 · 4 Zit. · Computational and Structural Biotechnology Journal

A Review of Methods for Trustworthy AI in Medical Imaging: The FUTURE-AI Guidelines

2025 · 3 Zit. · IEEE Journal of Biomedical and Health Informatics

AI trustworthiness in prostate cancer imaging: a look at algorithmic and system transparency^*

2023 · 2 Zit.

AI Model Passport: Data and System Traceability Framework for Transparent AI in Health

2025 · 1 Zit. · arXiv (Cornell University)

Data preparation for artificial intelligence in medical imaging: Experiences from the ProCAncer-I initiative

2023 · 1 Zit.

Toward Robust Clinical AI in Clinical Imaging

2025 · 1 Zit.

Scalable Clinical Annotation with Location Evidence (SCALE)

2025 · 0 Zit. · Computers in Biology and Medicine

METhodological RadiomICs Score (METRICS): A quality scoring tool for radiomics research

2023 · 0 Zit. · SPIRE - Sciences Po Institutional REpository

Testing the Segment Anything Model on radiology data

2023 · 0 Zit. · arXiv (Cornell University)