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20172022
most citedThe Swiss Army Knife for Image-to-Image Translation: Multi-Task Diffusion Models

17 citations · 43 across the 5 of their papers we have counts for

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6 papers · 1 filter

eess.IV2023

GAMER-MRIL identifies Disability-Related Brain Changes in Multiple Sclerosis

Po-Jui Lu, Benjamin Odry, Muhamed Barakovic +9

Objective: Identifying disability-related brain changes is important for multiple sclerosis (MS) patients. Currently, there is no clear understanding about which pathological featu…

eess.IV20233 cited

Diffusion Models for Contrast Harmonization of Magnetic Resonance Images

Alicia Durrer, Julia Wolleb, Florentin Bieder +6

Magnetic resonance (MR) images from multiple sources often show differences in image contrast related to acquisition settings or the used scanner type. For long-term studies, longi…

eess.IV2023

Point Cloud Diffusion Models for Automatic Implant Generation

Paul Friedrich, Julia Wolleb, Florentin Bieder +2

Advances in 3D printing of biocompatible materials make patient-specific implants increasingly popular. The design of these implants is, however, still a tedious and largely manual…

eess.IV2020

3D Segmentation Networks for Excessive Numbers of Classes: Distinct Bone Segmentation in Upper Bodies

Eva Schnider, Antal Horváth, Georg Rauter +3

Segmentation of distinct bones plays a crucial role in diagnosis, planning, navigation, and the assessment of bone metastasis. It supplies semantic knowledge to visualisation tools…

eess.IV2020

DeScarGAN: Disease-Specific Anomaly Detection with Weak Supervision

Julia Wolleb, Robin Sandkühler, Philippe C. Cattin

Anomaly detection and localization in medical images is a challenging task, especially when the anomaly exhibits a change of existing structures, e.g., brain atrophy or changes in…

eess.IV2019

Accelerated Motion-Aware MR Imaging via Motion Prediction from K-Space Center

Christoph Jud, Damien Nguyen, Alina Giger +6

Motion has been a challenge for magnetic resonance (MR) imaging ever since the MR has been invented. Especially in volumetric imaging of thoracic and abdominal organs, motion-aware…