Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Durrer, Alicia"'
Autor:
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 this age range. As a basis, we use MR images of preterm- and term-birth neonates from the deve
Externí odkaz:
http://arxiv.org/abs/2408.08647
Autor:
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 volumetric changes. However, many of the evaluation tools are optimized for analyzing healthy
Externí odkaz:
http://arxiv.org/abs/2403.14499
Autor:
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 diffusion-based methods require a lot of GPU memory and have long sampling times, we present
Externí odkaz:
http://arxiv.org/abs/2403.11667
Due to the three-dimensional nature of CT- or MR-scans, generative modeling of medical images is a particularly challenging task. Existing approaches mostly apply patch-wise, slice-wise, or cascaded generation techniques to fit the high-dimensional d
Externí odkaz:
http://arxiv.org/abs/2402.19043
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 tumor tissue into healthy tissue in brain magnetic resonance (MR) images. This idea originat
Externí odkaz:
http://arxiv.org/abs/2402.17307
Denoising diffusion models have recently achieved state-of-the-art performance in many image-generation tasks. They do, however, require a large amount of computational resources. This limits their application to medical tasks, where we often deal wi
Externí odkaz:
http://arxiv.org/abs/2303.15288
Autor:
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 long-term studies, longitudinal comparability is essential but can be impaired by these contra
Externí odkaz:
http://arxiv.org/abs/2303.08189