1 citations · 1 across the 4 of their papers we have counts for
4 papers
Shot Noise Reduction in Radiographic and Tomographic Multi-Channel Imaging with Self-Supervised Deep Learning
Yaroslav Zharov, Evelina Ametova, Rebecca Spiecker +3
Noise is an important issue for radiographic and tomographic imaging techniques. It becomes particularly critical in applications where additional constraints force a strong reduct…
Optimizing the Procedure of CT Segmentation Labeling
Yaroslav Zharov, Tilo Baumbach, Vincent Heuveline
In Computed Tomography, machine learning is often used for automated data processing. However, increasing model complexity is accompanied by increasingly large volume datasets, whi…
A Knowledge Distillation framework for Multi-Organ Segmentation of Medaka Fish in Tomographic Image
Jwalin Bhatt, Yaroslav Zharov, Sungho Suh +3
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…
Benchmarking in a rotating annulus: a comparative experimental and numerical study of baroclinic wave dynamics
Miklos Vincze, Sebastian Borchert, Ulrich Achatz +11
The differentially heated rotating annulus is a widely studied tabletop-size laboratory model of the general mid-latitude atmospheric circulation. The two most relevant factors of…