66 citations · 72 across the 11 of their papers we have counts for
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cs.LG2023★ 1 cited
DeepRepViz: Identifying Confounders in Deep Learning Model Predictions
Roshan Prakash Rane, JiHoon Kim, Arjun Umesha +3
Deep Learning (DL) models have gained popularity in neuroimaging studies for predicting psychological behaviors, cognitive traits, and brain pathologies. However, these models can…
cs.LG2023★ 66 cited
Promises and pitfalls of deep neural networks in neuroimaging-based psychiatric research
Fabian Eitel, Marc-André Schulz, Moritz Seiler +2
By promising more accurate diagnostics and individual treatment recommendations, deep neural networks and in particular convolutional neural networks have advanced to a powerful to…