Search papers, labs, and topics across Lattice.
Hangzhou Dianzi University
6
0
10
Embedding geometric intelligence into segmentation models can dramatically enhance the recovery of small vascular structures and improve overall topology fidelity.
Top algorithms in the HECKTOR 2025 challenge achieved impressive segmentation and survival prediction metrics, showcasing the power of multimodal imaging in oncology.
INFUSER outperforms a frozen 32B model with just an 8B co-evolving generator, showcasing the power of adaptive question generation in self-evolution.
Achieve verifiable clinical interpretation by grounding radiology reports to 3D CT volumes with a novel graph-guided lesion grounding framework that outperforms existing multimodal foundation models.
Layer-selective rehearsal and rapid recovery strategies can boost model performance in federated learning by over 30% in real-world applications.
Stop optimizing generative engines in isolation: MAGEO learns reusable editing strategies that dramatically improve visibility and citation fidelity across diverse engines.
