Search Results for author: Vincent Heuveline

Found 7 papers, 1 papers with code

Shot Noise Reduction in Radiographic and Tomographic Multi-Channel Imaging with Self-Supervised Deep Learning

no code implementations25 Mar 2023 Yaroslav Zharov, Evelina Ametova, Rebecca Spiecker, Tilo Baumbach, Genoveva Burca, Vincent Heuveline

For such imaging techniques, the method can therefore significantly improve image quality, or maintain image quality with further reduced exposure time per image.


Optimizing the Procedure of CT Segmentation Labeling

no code implementations24 Mar 2023 Yaroslav Zharov, Tilo Baumbach, Vincent Heuveline

In Computed Tomography, machine learning is often used for automated data processing.

A Knowledge Distillation framework for Multi-Organ Segmentation of Medaka Fish in Tomographic Image

no code implementations24 Feb 2023 Jwalin Bhatt, Yaroslav Zharov, Sungho Suh, Tilo Baumbach, Vincent Heuveline, Paul Lukowicz

Morphological atlases are an important tool in organismal studies, and modern high-throughput Computed Tomography (CT) facilities can produce hundreds of full-body high-resolution volumetric images of organisms.

Computed Tomography (CT) Image Segmentation +3

Self-Supervised Learning for Biological Sample Localization in 3D Tomographic Images

no code implementations6 Nov 2020 Yaroslav Zharov, Alexey Ershov, Tilo Baumbach, Vincent Heuveline

The problem is even more prominent for high-throughput tomography--an automated setup, capable of scanning large batches of samples without human interaction.

Computed Tomography (CT) Object Localization +2

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