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20182026
most citedAdapted Large Language Models Can Outperform Medical Experts in Clinical Text Summarization

755 citations · 2k across the 29 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

cs.CV2018★ 68 cited

Adversarial Inpainting of Medical Image Modalities

Karim Armanious, Youssef Mecky, Sergios Gatidis +1

Numerous factors could lead to partial deteriorations of medical images. For example, metallic implants will lead to localized perturbations in MRI scans. This will affect further…

cs.CV2018★ 33 cited

Retrospective correction of Rigid and Non-Rigid MR motion artifacts using GANs

Karim Armanious, Sergios Gatidis, Konstantin Nikolaou +2

Motion artifacts are a primary source of magnetic resonance (MR) image quality deterioration with strong repercussions on diagnostic performance. Currently, MR motion correction is…

cs.CV2018

Deep Shape Analysis on Abdominal Organs for Diabetes Prediction

Benjamin Gutierrez-Becker, Sergios Gatidis, Daniel Gutmann +3

Morphological analysis of organs based on images is a key task in medical imaging computing. Several approaches have been proposed for the quantitative assessment of morphological…

cs.CV2018★ 61 cited

A Machine-learning framework for automatic reference-free quality assessment in MRI

Thomas Küstner, Sergios Gatidis, Annika Liebgott +9

Magnetic resonance (MR) imaging offers a wide variety of imaging techniques. A large amount of data is created per examination which needs to be checked for sufficient quality in o…

cs.CV2018★ 599 cited

MedGAN: Medical Image Translation using GANs

Karim Armanious, Chenming Jiang, Marc Fischer +4

Image-to-image translation is considered a new frontier in the field of medical image analysis, with numerous potential applications. However, a large portion of recent approaches…