1 citations · 1 across the 2 of their papers we have counts for
4 papers
NeuronSifter: An Agent-in-Twin for Prioritizing Central Nervous System Interventions with World Action Models
Haowei Xu, Wanyi Fu, Hongbin Han +1
Effective central nervous system (CNS) intervention requires more than predicting biological responses: a scientific system must determine which intervention, observation, or addit…
NeuronDiscover: Agent-in-Twin for Mechanistic Discovery in Neuronal Microenvironments with World Action Models
Haowei Xu, Wanyi Fu, Hongbin Han +1
Mechanistic discovery in neuronal microenvironments requires interventions and measurements that separate competing explanations of solute transport and neuronal response. Predicti…
Exploiting Inherent Class Label: Towards Robust Scribble Supervised Semantic Segmentation
Xinliang Zhang, Lei Zhu, Shuang Zeng +5
Scribble-based weakly supervised semantic segmentation leverages only a few annotated pixels as labels to train a segmentation model, presenting significant potential for reducing…
Modality-Projection Universal Model for Comprehensive Full-Body Medical Imaging Segmentation
Yixin Chen, Lin Gao, Yajuan Gao +8
The integration of deep learning in medical imaging has shown great promise for enhancing diagnostic, therapeutic, and research outcomes. However, applying universal models across…