DeepRepViz: Identifying Confounders in Deep Learning Model Predictions

1 code implementation • 27 Sep 2023 • Roshan Prakash Rane, Jihoon Kim, Arjun Umesha, Didem Stark, Marc-André Schulz, Kerstin Ritter

In conclusion, the DeepRepViz framework provides a systematic approach to test for potential confounders such as age, sex, and imaging artifacts and improves the transparency of DL models for neuroimaging studies.

Deep Learning