Search Results for author: Justin Sonneck

Found 2 papers, 2 papers with code

EfficientBioAI: Making Bioimaging AI Models Efficient in Energy, Latency and Representation

1 code implementation9 Jun 2023 Yu Zhou, Justin Sonneck, Sweta Banerjee, Stefanie Dörr, Anika Grüneboom, Kristina Lorenz, Jianxu Chen

Artificial intelligence (AI) has been widely used in bioimage image analysis nowadays, but the efficiency of AI models, like the energy consumption and latency is not ignorable due to the growing model size and complexity, as well as the fast-growing analysis needs in modern biomedical studies.

MMV_Im2Im: An Open Source Microscopy Machine Vision Toolbox for Image-to-Image Transformation

1 code implementation6 Sep 2022 Justin Sonneck, Jianxu Chen

For computational biomedical researchers, MMV_Im2Im provides a starting point for developing new biomedical image analysis or machine learning algorithms, where they can either reuse the code in this package or fork and extend this package to facilitate the development of new methods.

Image Generation Image Restoration +2

Cannot find the paper you are looking for? You can Submit a new open access paper.