@article{ETD,
      school = {Ph.D.},
      author = {Harman, Gareth},
      url = {http://digitalcollections.ohsu.edu/record/43431},
      title = {Deep learning and structural MRI: in pursuit of improved  prediction of self-regulatory behavior and mental health},
      publisher = {Oregon Health and Science University},
      abstract = {Nearly one in five children (17%) aged 2-8 were diagnosed  with either a mental, emotional, developmental, or  behavioral disorder in 2016 in the US. Early identification  of MHD is crucial, as many mental health conditions first  appear during these formative years, offering a unique  window for effective intervention and improving healthy  transition into adulthood. This dissertation evaluates the  use of novel modeling strategies, namely artificial  intelligence (deep learning), and their application to  structural neuroimaging data (MRI) in predicting  self-regulatory behavior and mental health.},
      number = {ETD},
      doi = {https://doi.org/10.6083/bpxhc43431},
      recid = {43431},
      address = {2022-02-01},
}