[HTML][HTML] Brain age prediction: A comparison between machine learning models using brain morphometric data

J Han, SY Kim, J Lee, WH Lee - Sensors, 2022 - mdpi.com
Brain structural morphology varies over the aging trajectory, and the prediction of a person's
age using brain morphological features can help the detection of an abnormal aging …

[PDF][PDF] Brain Age Prediction: A Comparison between Machine Learning Models Using Brain Morphometric Data

J Han, SY Kim, J Lee, WH Lee - Sensors, 2022 - pdfs.semanticscholar.org
Brain structural morphology varies over the aging trajectory, and the prediction of a person's
age using brain morphological features can help the detection of an abnormal aging …

Brain Age Prediction: A Comparison between Machine Learning Models Using Brain Morphometric Data.

J Han, SY Kim, J Lee, WH Lee - Sensors (14248220), 2022 - search.ebscohost.com
Brain structural morphology varies over the aging trajectory, and the prediction of a person's
age using brain morphological features can help the detection of an abnormal aging …

Brain Age Prediction: A Comparison between Machine Learning Models Using Brain Morphometric Data

J Han, SY Kim, J Lee, WH Lee - Sensors, 2022 - khu.elsevierpure.com
Brain structural morphology varies over the aging trajectory, and the prediction of a person's
age using brain morphological features can help the detection of an abnormal aging …

[HTML][HTML] Brain Age Prediction: A Comparison between Machine Learning Models Using Brain Morphometric Data

J Han, SY Kim, J Lee, WH Lee - Sensors (Basel, Switzerland), 2022 - ncbi.nlm.nih.gov
Brain structural morphology varies over the aging trajectory, and the prediction of a person's
age using brain morphological features can help the detection of an abnormal aging …

Brain Age Prediction: A Comparison between Machine Learning Models Using Brain Morphometric Data

J Han, SY Kim, J Lee, WH Lee - Sensors, 2022 - search.proquest.com
Brain structural morphology varies over the aging trajectory, and the prediction of a person's
age using brain morphological features can help the detection of an abnormal aging …

Brain Age Prediction: A Comparison between Machine Learning Models Using Brain Morphometric Data

J Han, SY Kim, J Lee, WH Lee - Sensors (Basel …, 2022 - pubmed.ncbi.nlm.nih.gov
Brain structural morphology varies over the aging trajectory, and the prediction of a person's
age using brain morphological features can help the detection of an abnormal aging …

Brain Age Prediction: A Comparison between Machine Learning Models Using Brain Morphometric Data

J Han, SY Kim, J Lee, WH Lee - Sensors, 2022 - ui.adsabs.harvard.edu
Brain structural morphology varies over the aging trajectory, and the prediction of a person's
age using brain morphological features can help the detection of an abnormal aging …

Brain Age Prediction: A Comparison between Machine Learning Models Using Brain Morphometric Data.

J Han, SY Kim, J Lee, WH Lee - Sensors (Basel, Switzerland), 2022 - europepmc.org
Brain structural morphology varies over the aging trajectory, and the prediction of a person's
age using brain morphological features can help the detection of an abnormal aging …

[引用][C] Brain Age Prediction: A Comparison between Machine Learning Models Using Brain Morphometric Data

J Han, SY Kim, J Lee, WH Lee - Sensors, 2022 - europepmc.org
Brain structural morphology varies over the aging trajectory, and the prediction of a person's
age using brain morphological features can help the detection of an abnormal aging …