Deep sparse multi-task learning for feature selection in Alzheimer’s disease diagnosis

@article{Suk2015DeepSM,
  title={Deep sparse multi-task learning for feature selection in Alzheimer’s disease diagnosis},
  author={Heung-Il Suk and Seong-Whan Lee and Dinggang Shen},
  journal={Brain Structure and Function},
  year={2015},
  volume={221},
  pages={2569-2587}
}
Recently, neuroimaging-based Alzheimer’s disease (AD) or mild cognitive impairment (MCI) diagnosis has attracted researchers in the field, due to the increasing prevalence of the diseases. Unfortunately, the unfavorable high-dimensional nature of neuroimaging data, but a limited small number of samples available, makes it challenging to build a robust computer-aided diagnosis system. Machine learning techniques have been considered as a useful tool in this respect and, among various methods… CONTINUE READING

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2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018) • 2018

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2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) • 2017
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