Search Results - "Wolleb, Julia"

Training of Denoising Diffusion Models for Prediction of real-time Growth of Primary and Recurrent Gliomas by Leu, Severina, Wolleb, Julia, Guzman, Raphael, Mariani, Luigi, Cordier, Dominik, Cattin, Philippe Claude

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Machine learning-based preoperative analytics for the prediction of anastomotic leakage in colorectal surgery: a swiss pilot study by Taha-Mehlitz, Stephanie, Wentzler, Larissa, Angehrn, Fiorenzo, Hendie, Ahmad, Ochs, Vincent, Wolleb, Julia, Staartjes, Victor E., Enodien, Bassey, Baltuonis, Martinas, Vorburger, Stephan, Frey, Daniel M., Rosenberg, Robert, von Flüe, Markus, Müller-Stich, Beat, Cattin, Philippe C., Taha, Anas, Steinemann, Daniel

“…Background Anastomotic leakage (AL), a severe complication following colorectal surgery, arises from defects at the anastomosis site. This study evaluates the…”
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Development of predictive model for predicting postoperative BMI and optimize bariatric surgery: a single center pilot study by Ochs, Vincent, Tobler, Anja, Wolleb, Julia, Bieder, Florentin, Saad, Baraa, Enodien, Bassey, Fischer, Laura E., Honaker, Michael D., Drews, Susanne, Rosenblum, Ilan, Stoll, Reinhard, Probst, Pascal, Müller, Markus K., Lavanchy, Joël L., Taha-Mehlitz, Stephanie, Müller, Beat P., Rosenberg, Robert, Frey, Daniel M., Cattin, Philippe C., Taha, Anas

“…The pilot study addresses the challenge of predicting postoperative outcomes, particularly body mass index (BMI) trajectories, following bariatric surgery. The…”
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Improved distinct bone segmentation in upper-body CT through multi-resolution networks by Schnider, Eva, Wolleb, Julia, Huck, Antal, Toranelli, Mireille, Rauter, Georg, Müller-Gerbl, Magdalena, Cattin, Philippe C.

“…Purpose Automated distinct bone segmentation from CT scans is widely used in planning and navigation workflows. U-Net variants are known to provide excellent…”
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Development and validation of a predictive model of the hospital cost associated with bariatric surgery by Ochs, Vincent, Tobler, Anja, Enodien, Bassey, Saad, Baraa, Taha-Mehlitz, Stephanie, Wolleb, Julia, Awar, Joelle El, Neumann, Katerina, Drews, Susanne, Rosenblum, Ilan, Stoll, Reinhard, Rosenberg, Robert, Frey, Daniel M, Cattin, Philippe C, Taha, Anas

“…Hospitals are facing difficulties in predicting, evaluating, and managing cost-affecting parameters in patient treatments. Inaccurate cost prediction leads to…”
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Denoising Diffusion Models for Inpainting of Healthy Brain Tissue by Durrer, Alicia, Cattin, Philippe C, Wolleb, Julia

“…This paper is a contribution to the "BraTS 2023 Local Synthesis of Healthy Brain Tissue via Inpainting Challenge". The task of this challenge is to transform…”
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Denoising Diffusion Models for Anomaly Localization in Medical Images by Bercea, Cosmin I, Cattin, Philippe C, Schnabel, Julia A, Wolleb, Julia

“…This chapter explores anomaly localization in medical images using denoising diffusion models. After providing a brief methodological background of these…”
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Position Regression for Unsupervised Anomaly Detection by Bieder, Florentin, Wolleb, Julia, Sandkühler, Robin, Cattin, Philippe C

“…Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:160-172, 2022 In recent years, anomaly detection has become an…”
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Modeling the Neonatal Brain Development Using Implicit Neural Representations by Bieder, Florentin, Friedrich, Paul, Corbaz, Hélène, Durrer, Alicia, Wolleb, Julia, Cattin, Philippe C

“…The human brain undergoes rapid development during the third trimester of pregnancy. In this work, we model the neonatal development of the infant brain in…”
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WDM: 3D Wavelet Diffusion Models for High-Resolution Medical Image Synthesis by Friedrich, Paul, Wolleb, Julia, Bieder, Florentin, Durrer, Alicia, Cattin, Philippe C

“…Due to the three-dimensional nature of CT- or MR-scans, generative modeling of medical images is a particularly challenging task. Existing approaches mostly…”
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Binary Noise for Binary Tasks: Masked Bernoulli Diffusion for Unsupervised Anomaly Detection by Wolleb, Julia, Bieder, Florentin, Friedrich, Paul, Zhang, Peter, Durrer, Alicia, Cattin, Philippe C

“…The high performance of denoising diffusion models for image generation has paved the way for their application in unsupervised medical anomaly detection. As…”
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The Swiss Army Knife for Image-to-Image Translation: Multi-Task Diffusion Models by Wolleb, Julia, Sandkühler, Robin, Bieder, Florentin, Cattin, Philippe C

“…Recently, diffusion models were applied to a wide range of image analysis tasks. We build on a method for image-to-image translation using denoising diffusion…”
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DeScarGAN: Disease-Specific Anomaly Detection with Weak Supervision by Wolleb, Julia, Sandkühler, Robin, Cattin, Philippe C

“…Anomaly detection and localization in medical images is a challenging task, especially when the anomaly exhibits a change of existing structures, e.g., brain…”
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Diffusion Models for Medical Anomaly Detection by Wolleb, Julia, Bieder, Florentin, Sandkühler, Robin, Cattin, Philippe C

“…In medical applications, weakly supervised anomaly detection methods are of great interest, as only image-level annotations are required for training. Current…”
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Point Cloud Diffusion Models for Automatic Implant Generation by Friedrich, Paul, Wolleb, Julia, Bieder, Florentin, Thieringer, Florian M, Cattin, Philippe C

“…Advances in 3D printing of biocompatible materials make patient-specific implants increasingly popular. The design of these implants is, however, still a…”
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Memory-Efficient 3D Denoising Diffusion Models for Medical Image Processing by Bieder, Florentin, Wolleb, Julia, Durrer, Alicia, Sandkühler, Robin, Cattin, Philippe C

“…Medical Imaging with Deep Learning, PMLR 227:552-567, 2024 Denoising diffusion models have recently achieved state-of-the-art performance in many…”
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Improved distinct bone segmentation in upper-body CT through multi-resolution networks by Schnider, Eva, Wolleb, Julia, Huck, Antal, Toranelli, Mireille, Rauter, Georg, Müller-Gerbl, Magdalena, Cattin, Philippe C

“…Purpose: Automated distinct bone segmentation from CT scans is widely used in planning and navigation workflows. U-Net variants are known to provide excellent…”
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Diffusion Models for Contrast Harmonization of Magnetic Resonance Images by Durrer, Alicia, Wolleb, Julia, Bieder, Florentin, Sinnecker, Tim, Weigel, Matthias, Sandkühler, Robin, Granziera, Cristina, Yaldizli, Özgür, Cattin, Philippe C

“…Magnetic resonance (MR) images from multiple sources often show differences in image contrast related to acquisition settings or the used scanner type. For…”
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Diffusion Models for Implicit Image Segmentation Ensembles by Wolleb, Julia, Sandkühler, Robin, Bieder, Florentin, Valmaggia, Philippe, Cattin, Philippe C

“…Diffusion models have shown impressive performance for generative modelling of images. In this paper, we present a novel semantic segmentation method based on…”
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Denoising Diffusion Models for 3D Healthy Brain Tissue Inpainting by Durrer, Alicia, Wolleb, Julia, Bieder, Florentin, Friedrich, Paul, Melie-Garcia, Lester, Ocampo-Pineda, Mario, Bercea, Cosmin I, Hamamci, Ibrahim E, Wiestler, Benedikt, Piraud, Marie, Yaldizli, Özgür, Granziera, Cristina, Menze, Bjoern H, Cattin, Philippe C, Kofler, Florian

“…Monitoring diseases that affect the brain's structural integrity requires automated analysis of magnetic resonance (MR) images, e.g., for the evaluation of…”
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