5 citations · 5 across the 2 of their papers we have counts for
3 papers
cs.CV2026
Intervention-Aware Multiscale Representation Learning from Imaging Phenomics and Perturbation Transcriptomics
Jiayuan Chen, Ruoqi Liu, Zishan Gu +1
Microscopy-based phenotypic profiling is scalable for drug discovery but lacks the mechanistic depth of transcriptomics, which remains costly and scarce. Existing multimodal approa…
cs.CV2024★ 5 cited
MedVH: Towards Systematic Evaluation of Hallucination for Large Vision Language Models in the Medical Context
Zishan Gu, Changchang Yin, Fenglin Liu +1
Large Vision Language Models (LVLMs) have recently achieved superior performance in various tasks on natural image and text data, which inspires a large amount of studies for LVLMs…
cs.AI2024
Inquire, Interact, and Integrate: A Proactive Agent Collaborative Framework for Zero-Shot Multimodal Medical Reasoning
Zishan Gu, Fenglin Liu, Changchang Yin +1
The adoption of large language models (LLMs) in healthcare has attracted significant research interest. However, their performance in healthcare remains under-investigated and pote…