Marc Modat

MONAI: An open-source framework for deep learning in healthcare

2022 · 426 Zit. · arXiv (Cornell University)

Systematic Review of Artificial Intelligence for Abnormality Detection in High-volume Neuroimaging and Subgroup Meta-analysis for Intracranial Hemorrhage Detection

2023 · 36 Zit. · Clinical Neuroradiology

Investigating Image Registration Impact on Preterm Birth Classification: An Interpretable Deep Learning Approach

2019 · 7 Zit. · Lecture notes in computer science

Application of deep learning models for detection of subdural hematoma: a systematic review and meta-analysis

2023 · 5 Zit. · Journal of NeuroInterventional Surgery

Letter to the Editor: What are the legal and ethical considerations of submitting radiology reports to ChatGPT?

2024 · 2 Zit. · arXiv (Cornell University)

Impact of hospital-specific domain adaptation on BERT-based models to classify neuroradiology reports

2025 · 2 Zit. · European Radiology

Letter to the editor: what are the legal and ethical considerations of submitting radiology reports to ChatGPT?

2024 · 1 Zit. · Clinical Radiology

Machine learning algorithms to predict the risk of rupture of intracranial aneurysms: a systematic review

2025 · 0 Zit. · The Royal College of Radiologists Open

Artificial intelligence for abnormality detection in high volume neuroimaging: a systematic review and meta-analysis

2024 · 0 Zit. · arXiv (Cornell University)

ReCAP: Recursive Cross Attention Network for Pseudo-label Generation in Robotic Surgical Skill Assessment

2025 · 0 Zit. · Lecture notes in computer science

Hospital-specific domain adaptation improves BERT-based models’ ability to classify neuroradiology reports

2025 · 0 Zit. · The Royal College of Radiologists Open