180 citations · 405 across the 8 of their papers we have counts for
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eess.IV2019★ 116 cited
Multi-scale fully convolutional neural networks for histopathology image segmentation: from nuclear aberrations to the global tissue architecture
Rüdiger Schmitz, Frederic Madesta, Maximilian Nielsen +3
Histopathologic diagnosis relies on simultaneous integration of information from a broad range of scales, ranging from nuclear aberrations () through…
eess.IV2019★ 1 cited
3d-SMRnet: Achieving a new quality of MPI system matrix recovery by deep learning
Ivo Matteo Baltruschat, Patryk Szwargulski, Florian Griese +3
Magnetic particle imaging (MPI) data is commonly reconstructed using a system matrix acquired in a time-consuming calibration measurement. The calibration approach has the importan…