Sina Kafiabadi

Accurate brain‐age models for routine clinical MRI examinations

2022 · 120 Zit. · NeuroImage

Factors affecting the labelling accuracy of brain MRI studies relevant for deep learning abnormality detection

2023 · 7 Zit. · Frontiers in Radiology

Labelling Imaging Datasets on the Basis of Neuroradiology Reports: A Validation Study

2020 · 6 Zit. · Lecture notes in computer science

Automated triaging of head MRI examinations using convolutional neural networks

2022 · 2 Zit.

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

2025 · 2 Zit. · European Radiology

Automated Brain Abnormality Detection using a Self-Supervised Text-Vision Framework         

2024 · 2 Zit.

Labelling imaging datasets on the basis of neuroradiology reports: a\n validation study

2020 · 1 Zit. · arXiv (Cornell University)

Self-Supervised Text-Vision Alignment for Automated Brain MRI Abnormality Detection: A Multicenter Study (ALIGN Study)

2025 · 1 Zit. · Radiology Artificial Intelligence

Impact of AI Acceleration on Image Quality and Diagnostic Quality in Clinical Paediatric Neuroimaging

2025 · 0 Zit. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition

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

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

Automated triaging of head magnetic resonance imaging examinations using convolutional neural networks

2022 · 0 Zit.

A self-supervised framework for abnormality detection from brain MRI

2024 · 0 Zit.

Automated triaging of head MRI examinations using convolutional neural\n networks

2021 · 0 Zit. · arXiv (Cornell University)