Julia Wolleb

According to our database, Julia Wolleb authored at least 17 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Denoising Diffusion Models for 3D Healthy Brain Tissue Inpainting.

Alicia Durrer, Julia Wolleb, Florentin Bieder, Paul Friedrich, Lester Melie-García, Mario Ocampo-Pineda, Cosmin I. Bercea, Ibrahim Ethem Hamamci, Benedikt Wiestler, Marie Piraud, Özgür Yaldizli, Cristina Granziera, Bjoern H. Menze, Philippe C. Cattin, Florian Kofler

CoRR, 2024

Binary Noise for Binary Tasks: Masked Bernoulli Diffusion for Unsupervised Anomaly Detection.

Julia Wolleb, Florentin Bieder, Paul Friedrich, Peter Zhang, Alicia Durrer, Philippe C. Cattin

CoRR, 2024

WDM: 3D Wavelet Diffusion Models for High-Resolution Medical Image Synthesis.

Paul Friedrich, Julia Wolleb, Florentin Bieder, Alicia Durrer, Philippe C. Cattin

CoRR, 2024

Denoising Diffusion Models for Inpainting of Healthy Brain Tissue.

Alicia Durrer, Philippe C. Cattin, Julia Wolleb

CoRR, 2024

2023

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

Eva Schnider, Julia Wolleb, Antal Huck, Mireille Toranelli, Georg Rauter, Magdalena Müller-Gerbl, Philippe C. Cattin

Int. J. Comput. Assist. Radiol. Surg., November, 2023

Generative AI for Medical Imaging: extending the MONAI Framework.

Walter H. L. Pinaya, Mark S. Graham, Eric Kerfoot, Petru-Daniel Tudosiu, Jessica Dafflon, Virginia Fernandez, Pedro Sanchez, Julia Wolleb, Pedro F. Da Costa, Ashay Patel, Hyungjin Chung, Can Zhao, Wei Peng, Zelong Liu, XueYan Mei, Oeslle Lucena, Jong Chul Ye, Sotirios A. Tsaftaris, Prerna Dogra, Andrew Feng, Marc Modat, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso

CoRR, 2023

Diffusion Models for Memory-efficient Processing of 3D Medical Images.

Florentin Bieder, Julia Wolleb, Alicia Durrer, Robin Sandkühler, Philippe C. Cattin

CoRR, 2023

Diffusion Models for Contrast Harmonization of Magnetic Resonance Images.

Alicia Durrer, Julia Wolleb, Florentin Bieder, Tim Sinnecker, Matthias Weigel, Robin Sandkühler, Cristina Granziera, Özgür Yaldizli, Philippe C. Cattin

Proceedings of the Medical Imaging with Deep Learning, 2023

Denoising Diffusion Models for Memory-efficient Processing of 3D Medical Images.

Florentin Bieder, Julia Wolleb, Alicia Durrer, Robin Sandkühler, Philippe C. Cattin

Proceedings of the Medical Imaging with Deep Learning, 2023

Point Cloud Diffusion Models for Automatic Implant Generation.

Paul Friedrich, Julia Wolleb, Florentin Bieder, Florian M. Thieringer, Philippe C. Cattin

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

The Swiss Army Knife for Image-to-Image Translation: Multi-Task Diffusion Models.

Julia Wolleb, Robin Sandkühler, Florentin Bieder, Philippe C. Cattin

CoRR, 2022

Diffusion Models for Implicit Image Segmentation Ensembles.

Julia Wolleb, Robin Sandkühler, Florentin Bieder, Philippe Valmaggia, Philippe C. Cattin

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Position Regression for Unsupervised Anomaly Detection.

Florentin Bieder, Julia Wolleb, Robin Sandkühler, Philippe C. Cattin

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Learn to Ignore: Domain Adaptation for Multi-site MRI Analysis.

Julia Wolleb, Robin Sandkühler, Florentin Bieder, Muhamed Barakovic, Nouchine Hadjikhani, Athina Papadopoulou, Özgür Yaldizli, Jens Kuhle, Cristina Granziera, Philippe C. Cattin

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Diffusion Models for Medical Anomaly Detection.

Julia Wolleb, Florentin Bieder, Robin Sandkühler, Philippe C. Cattin

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Learn to Ignore: Domain Adaptation for Multi-Site MRI Analysis.

Julia Wolleb, Robin Sandkühler, Muhamed Barakovic, Athina Papadopoulou, Nouchine Hadjikhani, Özgür Yaldizli, Jens Kuhle, Cristina Granziera, Philippe C. Cattin

CoRR, 2021

2020

DeScarGAN: Disease-Specific Anomaly Detection with Weak Supervision.

Julia Wolleb, Robin Sandkühler, Philippe C. Cattin

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020