activity
20182021
most cited3D fluorescence microscopy data synthesis for segmentation and benchmarking

23 citations · 32 across the 4 of their papers we have counts for

collaborators

5 papers

eess.IV2021★ 23 cited

3D fluorescence microscopy data synthesis for segmentation and benchmarking

Dennis Eschweiler, Malte Rethwisch, Mareike Jarchow +2

Automated image processing approaches are indispensable for many biomedical experiments and help to cope with the increasing amount of microscopy image data in a fast and reproduci…

cs.CV2020

Spherical Harmonics for Shape-Constrained 3D Cell Segmentation

Dennis Eschweiler, Malte Rethwisch, Simon Koppers +1

Recent microscopy imaging techniques allow to precisely analyze cell morphology in 3D image data. To process the vast amount of image data generated by current digitized imaging te…

eess.IV2020★ 1 cited

NTIRE 2020 Challenge on Spectral Reconstruction from an RGB Image

Boaz Arad, Radu Timofte, Ohad Ben-Shahar +4

This paper reviews the second challenge on spectral reconstruction from RGB images, i.e., the recovery of whole-scene hyperspectral (HS) information from a 3-channel RGB image. As…

cs.CV2018★ 3 cited

Spherical Harmonic Residual Network for Diffusion Signal Harmonization

Simon Koppers, Luke Bloy, Jeffrey I. Berman +3

Diffusion imaging is an important method in the field of neuroscience, as it is sensitive to changes within the tissue microstructure of the human brain. However, a major challenge…

cs.LG2018★ 5 cited

DELIMIT PyTorch - An extension for Deep Learning in Diffusion Imaging

Simon Koppers, Dorit Merhof

DELIMIT is a framework extension for deep learning in diffusion imaging, which extends the basic framework PyTorch towards spherical signals. Based on several novel layers, deep le…