DEEPMIR: a deep neural network for differential detection of cerebral microbleeds and iron deposits in MRI

@article{Rashid2021DEEPMIRAD,
  title={DEEPMIR: a deep neural network for differential detection of cerebral microbleeds and iron deposits in MRI},
  author={Tanweer Rashid and Ahmed Abdulkadir and Ilya M. Nasrallah and Jeffrey B. Ware and Hangfan Liu and Pascal Spincemaille and Jos{\'e} Rafael Romero and Robert Nick Bryan and Susan R. Heckbert and Mohamad Habes},
  journal={Scientific Reports},
  year={2021},
  volume={11}
}
Lobar cerebral microbleeds (CMBs) and localized non-hemorrhage iron deposits in the basal ganglia have been associated with brain aging, vascular disease and neurodegenerative disorders. Particularly, CMBs are small lesions and require multiple neuroimaging modalities for accurate detection. Quantitative susceptibility mapping (QSM) derived from in vivo magnetic resonance imaging (MRI) is necessary to differentiate between iron content and mineralization. We set out to develop a deep learning… 
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