139 citations · 140 across the 4 of their papers we have counts for
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cs.LG2019
Deep Relevance Regularization: Interpretable and Robust Tumor Typing of Imaging Mass Spectrometry Data
Christian Etmann, Maximilian Schmidt, Jens Behrmann +6
Neural networks have recently been established as a viable classification method for imaging mass spectrometry data for tumor typing. For multi-laboratory scenarios however, certai…
eess.IV2019
Peak detection for MALDI mass spectrometry imaging data using sparse frame multipliers
Florian Lieb, Tobias Boskamp, Hans-Georg Stark
MALDI mass spectrometry imaging (MALDI MSI) is a spatially resolved analytical tool for biological tissue analysis by measuring mass-to-charge ratios of ionized molecules. With inc…