Search Results for author: Claudius Zelenka

Found 9 papers, 5 papers with code

Annotating Ambiguous Images: General Annotation Strategy for Image Classification with Real-World Biomedical Validation on Vertebral Fracture Diagnosis

1 code implementation21 Jun 2023 Lars Schmarje, Vasco Grossmann, Claudius Zelenka, Reinhard Koch

While numerous methods exist to solve classification problems within curated datasets, these solutions often fall short in biomedical applications due to the biased or ambiguous nature of the data.

Image Classification

Automated Classification of Nanoparticles with Various Ultrastructures and Sizes

no code implementations28 Jul 2022 Claudius Zelenka, Marius Kamp, Kolja Strohm, Akram Kadoura, Jacob Johny, Reinhard Koch, Lorenz Kienle

Accurately measuring the size, morphology, and structure of nanoparticles is very important, because they are strongly dependent on their properties for many applications.

Classification Image Generation

Is one annotation enough? A data-centric image classification benchmark for noisy and ambiguous label estimation

1 code implementation13 Jul 2022 Lars Schmarje, Vasco Grossmann, Claudius Zelenka, Sabine Dippel, Rainer Kiko, Mariusz Oszust, Matti Pastell, Jenny Stracke, Anna Valros, Nina Volkmann, Reinhard Koch

We propose a data-centric image classification benchmark with ten real-world datasets and multiple annotations per image to allow researchers to investigate and quantify the impact of such data quality issues.

Image Classification Noise Estimation

S2C2 - An orthogonal method for Semi-Supervised Learning on ambiguous labels

no code implementations29 Sep 2021 Lars Schmarje, Monty Santarossa, Simon-Martin Schröder, Claudius Zelenka, Rainer Kiko, Jenny Stracke, Nina Volkmann, Reinhard Koch

Semi-Supervised Learning (SSL) can decrease the required amount of labeled image data and thus the cost for deep learning.

Learning Stixel-based Instance Segmentation

no code implementations7 Jul 2021 Monty Santarossa, Lukas Schneider, Claudius Zelenka, Lars Schmarje, Reinhard Koch, Uwe Franke

Stixels have been successfully applied to a wide range of vision tasks in autonomous driving, recently including instance segmentation.

Autonomous Driving Instance Segmentation +2

2D and 3D Segmentation of uncertain local collagen fiber orientations in SHG microscopy

1 code implementation30 Jul 2019 Lars Schmarje, Claudius Zelenka, Ulf Geisen, Claus-C. Glüer, Reinhard Koch

Furthermore, we compare a variety of 2D and 3D methods such as classical approaches like Fourier analysis with state-of-the-art deep neural networks for the classification of local fiber orientations.

Segmentation

Restoration of Images with Wavefront Aberrations

no code implementations2 Apr 2017 Claudius Zelenka, Reinhard Koch

In most coherent imaging systems, especially in astronomy, the wavefront deformation is known.

Astronomy Image Restoration

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