• Corpus ID: 247025913

Subtyping brain diseases from imaging data

@article{Wen2022SubtypingBD,
  title={Subtyping brain diseases from imaging data},
  author={J. Wen and E. Varol and Zhijian Yang and Gyujoon Hwang and Dominic B. Dwyer and Anahita Fathi Kazerooni and Paris Alexandros Lalousis and Christos Davatzikos},
  journal={ArXiv},
  year={2022},
  volume={abs/2202.10945}
}
The imaging community has increasingly adopted machine learning (ML) methods to provide individualized imaging signatures related to disease diagnosis, prognosis, and response to treatment. Clinical neuroscience and cancer imaging have been two areas in which ML has offered particular promise. However, many neurologic and neuropsychiatric diseases, as well as cancer, are often heterogeneous in terms of their clinical manifestations, neuroanatomical patterns or genetic underpinnings. Therefore… 

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