66 citations · 79 across the 6 of their papers we have counts for
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Five Pitfalls When Assessing Synthetic Medical Images with Reference Metrics
Melanie Dohmen, Tuan Truong, Ivo M. Baltruschat +1
Reference metrics have been developed to objectively and quantitatively compare two images. Especially for evaluating the quality of reconstructed or compressed images, these metri…
Similarity and Quality Metrics for MR Image-To-Image Translation
Melanie Dohmen, Mark A. Klemens, Ivo M. Baltruschat +2
Image-to-image translation can create large impact in medical imaging, as images can be synthetically transformed to other modalities, sequence types, higher resolutions or lower n…
BraSyn 2023 challenge: Missing MRI synthesis and the effect of different learning objectives
Ivo M. Baltruschat, Parvaneh Janbakhshi, Matthias Lenga
This work addresses the Brain Magnetic Resonance Image Synthesis for Tumor Segmentation (BraSyn) challenge, which was hosted as part of the Brain Tumor Segmentation (BraTS) challen…
Uncertainty Estimation in Contrast-Enhanced MR Image Translation with Multi-Axis Fusion
Ivo M. Baltruschat, Parvaneh Janbakhshi, Melanie Dohmen +1
In recent years, deep learning has been applied to a wide range of medical imaging and image processing tasks. In this work, we focus on the estimation of epistemic uncertainty for…
fRegGAN with K-space Loss Regularization for Medical Image Translation
Ivo M. Baltruschat, Felix Kreis, Alexander Hoelscher +2
Generative adversarial networks (GANs) have shown remarkable success in generating realistic images and are increasingly used in medical imaging for image-to-image translation task…