The out-of-sample performance using transfer learning from previously learned knowledge based on real-world images and videos could unlock the potential in many areas of imaging neuroscience where deep learning solutions are currently infeasible.
In this study, we translate state-of-the-art transfer learning techniques for single-subject prediction of simpler (sex and age) and more complex phenotypes.
In this study, we translate state-of-the-art transfer learning techniques for single-subject prediction of simpler (sex and age) and more complex phenotypes.
Sep 1, 2022 · Transfer learning (TL) could aid in training DNNs in the data-scarce neuroimaging setting. •. Using TL, we improved predictions on several ...
Many workarounds have been proposed, such as deriving specialized pretraining datasets such as YouTube videos [4] or making predictions from only a few MRI ...
Apr 6, 2022 · Deep learning has recently achieved best-in-class performance in several fields, including biomedical domains such as X-ray images.
Duration: 34:45
Posted: Feb 13, 2023
Posted: Feb 13, 2023
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Learn. Res. 9(11). Malik, N., & Bzdok, D. (2022). From YouTube to the brain: Transfer learning can improve brain-imaging predictions with deep learning.
Oct 13, 2022 · We built a practical brain MRI-based AD diagnostic classifier using deep learning/transfer learning on a dataset of unprecedented size and diversity.
[PDF] Evaluation of Transfer Learning Methods for Detecting Alzheimer's ...
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and Bzdok, D., “From YouTube to the brain: Transfer learning can improve brain-imaging predictions with deep learning,” Neural. Networks 153, 325–338 (2022).