3 citations · 4 across the 5 of their papers we have counts for
5 papers
Agentic-J: An AI Agent for Biological Microscopy Image Analysis
Lukas Johanns, Marilin Moor, Davide Panzeri +9
Biological image analysis increasingly demands integration across heterogeneous tools, programming environments, and domain knowledge that few researchers can command simultaneousl…
An Active Learning Pipeline for Biomedical Image Instance Segmentation with Minimal Human Intervention
Shuo Zhao, Yu Zhou, Jianxu Chen
Biomedical image segmentation is critical for precise structure delineation and downstream analysis. Traditional methods often struggle with noisy data, while deep learning models…
Orochi: Versatile Biomedical Image Processor
Gaole Dai, Chenghao Zhou, Yu Zhou +6
Deep learning has emerged as a pivotal tool for accelerating research in the life sciences, with the low-level processing of biomedical images (e.g., registration, fusion, restorat…
Implicit Neural Image Field for Biological Microscopy Image Compression
Gaole Dai, Cheng-Ching Tseng, Qingpo Wuwu +9
The rapid pace of innovation in biological microscopy imaging has led to large images, putting pressure on data storage and impeding efficient sharing, management, and visualizatio…
Deep learning based Image Compression for Microscopy Images: An Empirical Study
Yu Zhou, Jan Sollmann, Jianxu Chen
With the fast development of modern microscopes and bioimaging techniques, an unprecedentedly large amount of imaging data are being generated, stored, analyzed, and even shared th…