most citedDiffusion Models in Bioinformatics: A New Wave of Deep Learning Revolution in Action

12 citations · 23 across the 8 of their papers we have counts for

collaborators

8 papers

math.AP2024

Existence of multiple radial solutions for nonlinear equation involving the mean curvature operator in Lorentz-Minkowski space

Vittorio Coti Zelati, Xu Dong, Yuanhong Wei

We prove existence of multiple radial solutions to the Dirichlet problem for nonlinear equations involving the mean curvature operator in Lorentz-Minkowski space and a nonlinear te…

q-bio.NC2023

Association of stroke lesion distributions with atrial fibrillation detected after stroke

Yiming Chen, Sihui Wang, Dong Xu

Background Atrial fibrillation is often missed by traditional intermittent electrocardiogram monitoring after ischemic stroke due to its paroxysmal and asymptomatic nature. The kno…

cs.CV20232 cited

Q2ATransformer: Improving Medical VQA via an Answer Querying Decoder

Yunyi Liu, Zhanyu Wang, Dong Xu +1

Medical Visual Question Answering (VQA) systems play a supporting role to understand clinic-relevant information carried by medical images. The questions to a medical image include…

cs.CV20233 cited

VL-SAT: Visual-Linguistic Semantics Assisted Training for 3D Semantic Scene Graph Prediction in Point Cloud

Ziqin Wang, Bowen Cheng, Lichen Zhao +3

The task of 3D semantic scene graph (3DSSG) prediction in the point cloud is challenging since (1) the 3D point cloud only captures geometric structures with limited semantics comp…

cs.CV20236 cited

Conflict-Based Cross-View Consistency for Semi-Supervised Semantic Segmentation

Zicheng Wang, Zhen Zhao, Xiaoxia Xing +3

Semi-supervised semantic segmentation (SSS) has recently gained increasing research interest as it can reduce the requirement for large-scale fully-annotated training data. The cur…

eess.IV2023

Bridging Synthetic and Real Images: a Transferable and Multiple Consistency aided Fundus Image Enhancement Framework

Erjian Guo, Huazhu Fu, Luping Zhou +1

Deep learning based image enhancement models have largely improved the readability of fundus images in order to decrease the uncertainty of clinical observations and the risk of mi…