10 citations · 24 across the 14 of their papers we have counts for
Showing 2023 · cs.LGShow all
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cs.LG2023★ 1 cited
Improving age prediction: Utilizing LSTM-based dynamic forecasting for data augmentation in multivariate time series analysis
Yutong Gao, Charles A. Ellis, Vince D. Calhoun +1
The high dimensionality and complexity of neuroimaging data necessitate large datasets to develop robust and high-performing deep learning models. However, the neuroimaging field i…
cs.LG2023★ 5 cited
Looking deeper into interpretable deep learning in neuroimaging: a comprehensive survey
Md. Mahfuzur Rahman, Vince D. Calhoun, Sergey M. Plis
Deep learning (DL) models have been popular due to their ability to learn directly from the raw data in an end-to-end paradigm, alleviating the concern of a separate error-prone fe…