research
∙
03/25/2023
Shot Noise Reduction in Radiographic and Tomographic Multi-Channel Imaging with Self-Supervised Deep Learning
Noise is an important issue for radiographic and tomographic imaging tec...
share
research
∙
03/24/2023
Optimizing the Procedure of CT Segmentation Labeling
In Computed Tomography, machine learning is often used for automated dat...
research
∙
02/24/2023
A Knowledge Distillation framework for Multi-Organ Segmentation of Medaka Fish in Tomographic Image
Morphological atlases are an important tool in organismal studies, and m...
research
∙
03/17/2022
Using the Order of Tomographic Slices as a Prior for Neural Networks Pre-Training
The technical advances in Computed Tomography (CT) allow to obtain immen...
research
∙
11/06/2020
Self Supervised Learning for Object Localisation in 3D Tomographic Images
While a lot of work is dedicated to self-supervised learning, most of it...
research
∙
11/07/2018
