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20182026
most citedWhy rankings of biomedical image analysis competitions should be interpreted with care

387 citations · 509 across the 50 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

cs.CV2018

Evaluating the Impact of Intensity Normalization on MR Image Synthesis

Jacob C. Reinhold, Blake E. Dewey, Aaron Carass +1

Image synthesis learns a transformation from the intensity features of an input image to yield a different tissue contrast of the output image. This process has been shown to have…

cs.CV2018★ 15 cited

Unpaired Brain MR-to-CT Synthesis using a Structure-Constrained CycleGAN

Heran Yang, Jian Sun, Aaron Carass +4

The cycleGAN is becoming an influential method in medical image synthesis. However, due to a lack of direct constraints between input and synthetic images, the cycleGAN cannot guar…

cs.CV2018★ 387 cited

Why rankings of biomedical image analysis competitions should be interpreted with care

Lena Maier-Hein, Matthias Eisenmann, Annika Reinke +35

International challenges have become the standard for validation of biomedical image analysis methods. Given their scientific impact, it is surprising that a critical analysis of c…

cs.CV2018★ 30 cited

Topology guaranteed segmentation of the human retina from OCT using convolutional neural networks

Yufan He, Aaron Carass, Bruno M. Jedynak +4

Optical coherence tomography (OCT) is a noninvasive imaging modality which can be used to obtain depth images of the retina. The changing layer thicknesses can thus be quantified b…

eess.IV2018★ 7 cited

Self Super-Resolution for Magnetic Resonance Images using Deep Networks

Can Zhao, Aaron Carass, Blake E. Dewey +1

High resolution magnetic resonance~(MR) imaging~(MRI) is desirable in many clinical applications, however, there is a trade-off between resolution, speed of acquisition, and noise.…