Score-based generative models for medical image segmentation using signed distance functions

L Bogensperger, D Narnhofer, F Ilic, T Pock - DAGM German Conference …, 2023 - Springer
Medical image segmentation is a crucial task that relies on the ability to accurately identify
and isolate regions of interest in medical images. Thereby, generative approaches allow to …

FlowSDF: Flow Matching for Medical Image Segmentation Using Distance Transforms

L Bogensperger, D Narnhofer, A Falk… - arXiv preprint arXiv …, 2024 - arxiv.org
Medical image segmentation is a crucial task that relies on the ability to accurately identify
and isolate regions of interest in medical images. Thereby, generative approaches allow to …

Check for Score-Based Generative Models for Medical Image Segmentation Using Signed Distance Functions

L Bogensperger, D Narnhofer, F Ilic… - … Recognition: 45th DAGM …, 2024 - books.google.com
Medical image segmentation is a crucial task that relies on the ability to accurately identify
and isolate regions of interest in medical images. Thereby, generative approaches allow to …

Learning to Analyze Visual Data Streams for Environment Perception

E Brissman - 2023 - diva-portal.org
ABSTRACT A mobile robot, instructed by a human operator, acts in an environment with
many other objects. However, for an autonomous robot, human instructions should be …

Dynamic Visual Learning

J Johnander - 2022 - diva-portal.org
Autonomous robots act in a dynamic world where both the robots and other objects may
move. The surround sensing systems of said robots therefore work with dynamic input data …

[引用][C] Alvis–a scientific review

V Rehnberg - 2022