CT image extrapolation

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

Interested in Metadata Schemas and extractors for Materials Science applications

Developing computational tools for optoacoustic imaging and sensing

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 …

Theoretical advances in AI and combinatorial optimization to solve challenging problems on large-scale scientific imaging data

interested in time-resolved 3d tomographic in-situ observation of dynamic processes in various material systems

Working on image & keypoint registration, graph neural networks, discrete graphical models. But also very interested in geometrical structures, visualization of high-dimensional features and visualization & communication of complex topics.

Interests: Programming, Grand challenges in biomedical image analysis

Projects: Metrics Reloaded, Rankings Reloaded (web version of challengeR), challengeR,

I am a deep learning researcher with experience in:
- Self Supervised Learning
- Active Learning
- Supervised Learning
- Generative modeling

For:
- Representation learning
- Denoising
- Resolution enhancement
- Classification
- Semantic segmentation
- Instance segmentation

Applied …

AFM, Bruker Multi Mode 8, working with dry an wet/swollen samples and with gas flowting membranes

Global change impacts the distribution and activity of marine life at local to basin-wide scales, with major consequences for oceanic oxygen dynamics, nutrient cycles and the transfer of carbon dioxid from the atmosphere to the deep sea. I use augmented …

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

Interested in Computer Vision applications, especially in medical imaging.

Interested in data-integrated artificial intelligence for materials sciences and engineering

Ocean and climate modeller. Interested in visualization, interactive exploration and analysis of very high resolution data from Earth System Models.

Member of the Helmholtz Metadata Collaboration Hub Earth and Environment

My curiosity for polar regions brought me as an electronic engineer from Austria to polar and marine research. From 2010 onwards I was around in Arctic and Antarctic with various tasks in atmospheric, geologic and marine research. For about eight …

I am interested to used underwater cameras as measurement, perception and navgiation devices, to survey, count, measure and understand marine environments.

Machine Learning/Data Engineer

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

I am the PR and Outreach Manager for Helmholtz Imaging. Reach out if you've got an interesting imaging-related story to share! We are also happy to come to your Center to introduce Helmholtz Imaging and its services to you as …

Research interests include the use of
- (analytical) electron microscopy
- electron tomography incl. quantitative 3D analysis
- 4D-STEM imaging and statistical analysis
- (high-speed) in-situ TEM
with applications in materials sciences (catalysis, batteries, glass, magnetic materials)

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 …