3 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 3 cited
EfficientBioAI: Making Bioimaging AI Models Efficient in Energy, Latency and Representation
Yu Zhou, Justin Sonneck, Sweta Banerjee +4
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…
eess.IV2022★ 2 cited
SYNTA: A novel approach for deep learning-based image analysis in muscle histopathology using photo-realistic synthetic data
Leonid Mill, Oliver Aust, Jochen A. Ackermann +12
Artificial intelligence (AI), machine learning, and deep learning (DL) methods are becoming increasingly important in the field of biomedical image analysis. However, to exploit th…