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eess.IV2019★ 167 cited
Resolving challenges in deep learning-based analyses of histopathological images using explanation methods
Miriam Hägele, Philipp Seegerer, Sebastian Lapuschkin +5
Deep learning has recently gained popularity in digital pathology due to its high prediction quality. However, the medical domain requires explanation and insight for a better unde…
eess.IV2019
Deep Transfer Learning For Whole-Brain fMRI Analyses
Armin W. Thomas, Klaus-Robert Müller, Wojciech Samek
The application of deep learning (DL) models to the decoding of cognitive states from whole-brain functional Magnetic Resonance Imaging (fMRI) data is often hindered by the small s…