The University of California San Francisco, Brain Metastases Stereotactic Radiosurgery (UCSF-BMSR) MRI Dataset.
Jeffrey D RudieRachit SalujaDavid A WeissPierre NedelecEvan CalabreseJohn B ColbyBenjamin LagunaJohn T MonganSteve BraunsteinChristopher P HessAndreas M RauscheckerLeo P SugrueJavier E Villanueva-MeyerPublished in: Radiology. Artificial intelligence (2024)
"Just Accepted" papers have undergone full peer review and have been accepted for publication in Radiology: Artificial Intelligence . This article will undergo copyediting, layout, and proof review before it is published in its final version. Please note that during production of the final copyedited article, errors may be discovered which could affect the content. The publicly available University of California San Francisco Brain Metastases Stereotactic Radiosurgery MRI dataset consists of 412 patients with a total of 560 multimodal brain MRIs with expert voxelwise annotations of 5136 brain metastases. ©RSNA, 2024.
Keyphrases
- brain metastases
- artificial intelligence
- small cell lung cancer
- machine learning
- big data
- deep learning
- contrast enhanced
- magnetic resonance imaging
- diffusion weighted imaging
- white matter
- resting state
- magnetic resonance
- emergency department
- multiple sclerosis
- clinical practice
- systematic review
- psychometric properties
- meta analyses