computer scientist with background in biology

Interested in:
- machine learning, especially neuronal networks
- research software
- workflows and scientific computing
- computational neuroscience
- bioimage analysis

Computational imaging with a particular interest in non-smooth convex relaxation methods for variational image processing, inverse scale space iterations and coordinate-based neural network techniques.

I work on inverse problems, image reconstruction and other parts of computational imaging.

PhD student in the computational imaging group at DESY
Interested in image reconstruction, inverse problems, medical imaging

Deep learning applications and service support

Head of the Helmholtz Imaging Support Unit at DESY Hamburg. Background in computational structural biology, pattern recognition, artificial intelligence, convolutional neural networks and cloud computing.

Interested in everything that is computer vision, regardless of domain

Considering human interaction when designing machine learning (ML) systems bears great potential: On the one hand, decision-making in ML systems remains imperfect in practice, thus requiring human interaction for safety-critical applications such as clinical diagnostics. On the other hand, the …

Part of the Applied Computer Vision Lab (ACVL) at dkfz, Heidelberg. Background in computer vision, deep learning, pattern recognition, 3d reconstruction and variational methods.

PhD student in Mathematics in the Computational Imaging Group at DESY, led by Martin Burger.

I am primarily interested in solving inverse problems with data-driven strategies where I focus on analyzing their stability and convergence behavior. Since these properties are …

Skills:
Explanatory Methods, Interpretable Representation-learning, Model uncertainty, Probabilistic AI, Bayesian NN
Projects:
Improving Explainability through Disentangled Feature Representation, XAI in Multiple Instance Learning, Explaining Model-Uncertainty

Scientific coordinator of Helmholtz Imaging. Background in mathematics, signal and image processing, approximation theory, mathematical methods for dimensionality reduction.

I work on image reconstruction tasks and other inverse problems. Most of my experience lies in emission and transmission imaging modalities in the X-ray and gamma ray regimes. My particular interests include the mathematical modelling and also computational aspects of …

I focus on making large-scale and high-quality data available in the computer vision and biomedical domain.

Hi,

I'm Tim and currently a Postdoc in the computational imaging group at DESY, led by Martin Burger. I am interested in inverse problems, mathematics of data science and machine learning for imaging applications.

Helmholtz Imaging Platfrom Manager

Leading the Helmholtz Imaging Support Unit at the Max Delbrück Center for Molecular Medicine in Berlin (Technology Platform Image Data Analysis). Research software engineer. Trained media computer scientist, experience in molecular biology / basic research data analysis, human computer interaction, …

My main interests lie in hard X-ray microscopy with synchrotron radiation and free-electron lasers. I develop both instrumentation and methods for 3D imaging with various X-ray analytical techniques as contrast. Algorithmically, my focus lies on solving inverse problems in tomography …

I am Software Developer at Service Unit "Modalities" and my subject of interest is image processing and its applications to remote sensing.

Machine Learning Engineer @ Applied Computer Vision Lab