5 citations · 5 across the 7 of their papers we have counts for
4 papers · 1 filter
Deep Generative Models Unveil Patterns in Medical Images Through Vision-Language Conditioning
Xiaodan Xing, Junzhi Ning, Yang Nan +1
Deep generative models have significantly advanced medical imaging analysis by enhancing dataset size and quality. Beyond mere data augmentation, our research in this paper highlig…
Coupling AI and Citizen Science in Creation of Enhanced Training Dataset for Medical Image Segmentation
Amir Syahmi, Xiangrong Lu, Yinxuan Li +7
Recent advancements in medical imaging and artificial intelligence (AI) have greatly enhanced diagnostic capabilities, but the development of effective deep learning (DL) models is…
Beyond the Hype: A dispassionate look at vision-language models in medical scenario
Yang Nan, Huichi Zhou, Xiaodan Xing +1
Recent advancements in Large Vision-Language Models (LVLMs) have demonstrated remarkable capabilities across diverse tasks, garnering significant attention in AI communities. Howev…
Deep asymmetric mixture model for unsupervised cell segmentation
Yang Nan, Guang Yang
Automated cell segmentation has become increasingly crucial for disease diagnosis and drug discovery, as manual delineation is excessively laborious and subjective. To address this…