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Julia Wolleb

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • eess.IV2
ORCID 0000-0003-4087-5920

identity via Semantic Scholar / OpenAlex

most citedDiffusion Models for Implicit Image Segmentation Ensembles

71 citations · 74 across the 4 of their papers we have counts for

collaborators

4 papers

eess.IV2023★ 3 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

Improved distinct bone segmentation in upper-body CT through multi-resolution networks

Eva Schnider, Julia Wolleb, Antal Huck +4

Purpose: Automated distinct bone segmentation from CT scans is widely used in planning and navigation workflows. U-Net variants are known to provide excellent results in supervised…

cs.CV2023

Position Regression for Unsupervised Anomaly Detection

Florentin Bieder, Julia Wolleb, Robin Sandkühler +1

In recent years, anomaly detection has become an essential field in medical image analysis. Most current anomaly detection methods for medical images are based on image reconstruct…

cs.CV2021★ 71 cited

Diffusion Models for Implicit Image Segmentation Ensembles

Julia Wolleb, Robin Sandkühler, Florentin Bieder +2

Diffusion models have shown impressive performance for generative modelling of images. In this paper, we present a novel semantic segmentation method based on diffusion models. By…

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