I am an marine scientist and, together with collaborators from the Netherlands and US, deploy deep-sea camera systems to film deep-sea cephalopods in their natural habitat.
We use an autonmous, ultra-low-light video imagaing system, called "NAUTILUS" designed by Arctic Rays …

I am working in radiobiology on preclinical research questions regarding proton brain radiotherapy. For this, I am using medical imaging and microscopy.

I am interested in physics-based vision, e.g. reflection or refraction. I did my PhD in light field imaging, which, in nutshell can be understood as a densely sampled views, which allows interesting processing tasks like reconstruction of scene's geometry from …

In situ imaging of marine animals (e.g. zooplankton)
Application of imaging tools for ecological research
Development of novel imaging technology

I'm a marine chemical ecologist/analytical chemist who focuses on the structural elucidation and visualization of metabolites that drive interactions between marine organisms.

I'm an electronics Engineer and love to develop and work with Camerasystems. Since 2018 i'm working in Jan Tauchers Plancton Imaging Group at the Geomar Helmholtzcenter Kiel, where we are devloping the PIScO Camerasystem.

I am a biologist and marine biogeochemist by training. My current work focuses on Arctic marine phytoplankton. We use an AMNIS ImageStream Imaging Flow Cytometer to generate high thoughput, high quality phytoplankton imaging datasets. By combining Imaging Flow Cytometry and …

Project Manager of the Global Seagrass Watch, developing and commercializing calable coastal ecosystem accounting through contemporary remote sensing for impactful natural climate solutions.

PostDoc researcher working in medical image analysis using computer vision and deep learning techniques.

I apply machine-learning tools to automatically extract biologically relevant features from plankton images. Combining human and artificial intelligence, I investigate the complex relationships between plankton community composition, biodiversity, carbon fluxes and environmental conditions. I am particularly interested in examining the …

PhD student in Computational Pathology working on domain generalization of histopathology data

I'm working at the intersection of neuroscience, psychology, computer science and data science, and I am interested in open and reproducible science, open source software, research software engineering, and data management.

Imaging expert with a focus on neuroimmunology. Specific interest in fluorine (19F) MRI. Expertise in preclinical MR imaging, theranostics and animal models. Interest in both preclinical and clinical MRI data acquisition and analysis.

Interests: automatic segmentation; anatomical structures; multi-label segmentation; clinical target volume delineation; lymph-node-level segmentation; expert guidelines; head and neck cancer; dynamical low-rank approximation

Tobias Weingärtner currently works at the Institute of Applied Materials, Karlsruhe Institute of Technology. Tobias does research in Analytical Chemistry, Inorganic Chemistry and Surface Chemistry. My work is more like a support of other researchers in their projects, by good …

I'm a staff scientist in the scientific computing group within the photon science division at DESY. I specialise in crystallography, in particular data processing software for serial crystallography. My main focus is software development, my "flagship" project being the CrystFEL …

Head of Projects & Support Department at ER-C | FZJ

Electron microscopist in charge of the Corelab Correlative Microscopy and Spectroscopy at HZB

I am working on machine learning and artificial intelligence approaches for synchrotron-radiation-based microtomography and phase contrast imaging techniques and their application for in situ/vivo experiments at the outstation of the Helmholtz-Zentrum Hereon at the PETRA III storage ring in Hamburg. …

Currently working as a Post-Doc researcher at the Forschungszentrum Jülich, conducting research on 3D reconstruction, image segmentation and depth estimation. Working with 2D and 3D data.

I am interested in weakly or semi-supervised segmentation methods.

Interested in correlative characterization using X-ray computed tomography at the micro- and nanoscale, as well as X-ray diffraction, X-ray fluorescence and small angle X-ray scattering experiments.
Focus on biodegradable magnesium implants and surrounding tissue such as bone or soft tissues.

Machine Learning Engineer @ Applied Computer Vision Lab