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20002026
most citedThe Liver Tumor Segmentation Benchmark (LiTS)

1.2k citations

Showing 2014Show all

8 papers · 1 filter

physics.optics2014★ 64 cited

High contrast imaging of reversibly switchable fluorescent proteins via temporally unmixed Multispectral Optoacoustic Tomography (tuMSOT)

Andre C Stiel, X Luis Dean-Ben, Yuanyuan Jiang +3

Photocontrol of reversibly switchable fluorescent proteins (RSFPs) was used to program optoacoustic signal time courses that were temporally unmixed to increase the proteins contra…

math.NA2014★ 13 cited

Inpainting of Cyclic Data using First and Second Order Differences

Ronny Bergmann, Andreas Weinmann

Cyclic data arise in various image and signal processing applications such as interferometric synthetic aperture radar, electroencephalogram data analysis, and color image restorat…

math.NA2014★ 24 cited

Mumford-Shah and Potts Regularization for Manifold-Valued Data with Applications to DTI and Q-Ball Imaging

Andreas Weinmann, Laurent Demaret, Martin Storath

Mumford-Shah and Potts functionals are powerful variational models for regularization which are widely used in signal and image processing; typical applications are edge-preserving…

physics.optics2014★ 19 cited

Simultaneous control of volumetric light distribution through turbid media using real-time three-dimensional optoacoustic feedback

X. Luís Deán-Ben, Héctor Estrada, Daniel Razansky

Focusing light through turbid media presents a highly fascinating challenge in modern biophotonics. The unique capability of optoacoustics for high resolution imaging of light abso…

cs.GR2014

MCA: Multiresolution Correlation Analysis, a graphical tool for subpopulation identification in single-cell gene expression data

Justin Feigelman, Fabian J. Theis, Carsten Marr

Background: Biological data often originate from samples containing mixtures of subpopulations, corresponding e.g. to distinct cellular phenotypes. However, identification of disti…

math.NA2014★ 44 cited

Second Order Differences of Cyclic Data and Applications in Variational Denoising

Ronny Bergmann, Gabriele Steidl, Friederike Laus +1

In many image and signal processing applications, as interferometric synthetic aperture radar (SAR), electroencephalogram (EEG) data analysis or color image restoration in HSV or L…