Marius George Linguraru

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

2021 · 657 Zit. · Nature Medicine

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

2025 · 218 Zit. · BMJ

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

2021 · 44 Zit.

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

2023 · 38 Zit. · arXiv (Cornell University)

Clinical, Cultural, Computational, and Regulatory Considerations to Deploy AI in Radiology: Perspectives of RSNA and MICCAI Experts

2024 · 23 Zit. · Radiology Artificial Intelligence

RSNA-MICCAI Panel Discussion: Machine Learning for Radiology from Challenges to Clinical Applications

2021 · 11 Zit. · Radiology Artificial Intelligence

Accelerating artificial intelligence: How federated learning can protect privacy, facilitate collaboration, and improve outcomes

2023 · 11 Zit. · Health Informatics Journal

Artificial Intelligence for Response Assessment in Pediatric Neuro-Oncology (AI-RAPNO), part 1: review of the current state of the art

2025 · 4 Zit. · The Lancet Oncology

RSNA-MICCAI Panel Discussion: 2. Leveraging the Full Potential of AI—Radiologists and Data Scientists Working Together

2021 · 3 Zit. · Radiology Artificial Intelligence

Multi-view deep learning framework for the detection of chest X-rays compatible with pediatric pulmonary tuberculosis

2025 · 3 Zit. · Nature Communications

CAFES: chest x-ray analysis using federated self-supervised learning for pediatric Covid-19 detection

2024 · 2 Zit.

Artificial Intelligence for Response Assessment in Pediatric Neuro-Oncology (AI-RAPNO), part 2: challenges, opportunities, and recommendations for clinical translation

2025 · 2 Zit. · The Lancet Oncology

A machine learning-based screening tool for genetic syndromes in children – Authors' reply

2022 · 1 Zit. · The Lancet Digital Health

D-Rax: Domain-Specific Radiologic Assistant Leveraging Multi-modal Data and eXpert Model Predictions

2024 · 0 Zit. · Lecture notes in computer science

D-Rax: Domain-specific Radiologic assistant leveraging multi-modal data and eXpert model predictions

2024 · 0 Zit. · arXiv (Cornell University)