4 papers
BIABench: Evaluating AI agents on real-world bioimage analysis tasks
Zixuan Pan, Davide Panzeri, Lukas Johanns +5
Artificial-intelligence (AI) agents hold promise for automating bioimage analysis, yet no benchmark evaluates whether they can carry out real-world analyses end to end. Such analys…
TopoAgent: An Agentic Framework for Automated Topology Learning in Medical Imaging
Guangyu Meng, Pengfei Gu, Xueyang Li +3
Topological data analysis (TDA), particularly persistent homology (PH), captures geometric structural properties in medical images (e.g., connected components, loops, shape charact…
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…
H-CNN-ViT: A Hierarchical Gated Attention Multi-Branch Model for Bladder Cancer Recurrence Prediction
Xueyang Li, Zongren Wang, Yuliang Zhang +6
Bladder cancer is one of the most prevalent malignancies worldwide, with a recurrence rate of up to 78%, necessitating accurate post-operative monitoring for effective patient mana…