output
20162026
most citedValidation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge

1.4k citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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Showing 2019Show all

6 papers · 1 filter

gr-qc2019★ 11 cited

The Relativistic Geoid: Gravity Potential and Relativistic Effects

Dennis Philipp, Eva Hackmann, Claus Lämmerzahl +1

The Earth's geoid is one of the most essential and fundamental concepts to provide a gravity field-related height reference in geodesy and associated sciences. To keep up with the…

physics.med-ph2019★ 55 cited

Comments on the NEMA NU 4-2008 Standard on Performance Measurement of Small Animal Positron Emission Tomographs

Patrick Hallen, David Schug, Volkmar Schulz

The National Electrical Manufacturers Association's (NEMA) NU 4-2008 standard specifies methodology for evaluating the performance of small-animal PET scanners. The standard's goal…

cs.CV2019★ 49 cited

mlVIRNET: Multilevel Variational Image Registration Network

Alessa Hering, Bram van Ginneken, Stefan Heldmann

We present a novel multilevel approach for deep learning based image registration. Recently published deep learning based registration methods have shown promising results for a wi…

eess.IV2019★ 8 cited

A Novel Similarity Measure for Image Sequences

Kai Brehmer, Benjamin Wacker, Jan Modersitzki

Quantification of image similarity is a common problem in image processing. For pairs of two images, a variety of options is available and well-understood. However, some applicatio…

eess.IV2019★ 5 cited

Variational Registration of Multiple Images with the SVD based SqN Distance Measure

Kai Brehmer, Hari Om Aggrawal, Stefan Heldmann +1

Image registration, especially the quantification of image similarity, is an important task in image processing. Various approaches for the comparison of two images are discussed i…

cs.CV2019★ 1.2k cited

The Liver Tumor Segmentation Benchmark (LiTS)

Patrick Bilic, Patrick Christ, Hongwei Bran Li +106

In this work, we report the set-up and results of the Liver Tumor Segmentation Benchmark (LiTS), which was organized in conjunction with the IEEE International Symposium on Biomedi…