collaborators

5 papers

eess.IV2024

CIResDiff: A Clinically-Informed Residual Diffusion Model for Predicting Idiopathic Pulmonary Fibrosis Progression

Caiwen Jiang, Xiaodan Xing, Zaixin Ou +4

The progression of Idiopathic Pulmonary Fibrosis (IPF) significantly correlates with higher patient mortality rates. Early detection of IPF progression is critical for initiating t…

eess.IV2024

A dual-task mutual learning framework for predicting post-thrombectomy cerebral hemorrhage

Caiwen Jiang, Tianyu Wang, Xiaodan Xing +4

Ischemic stroke is a severe condition caused by the blockage of brain blood vessels, and can lead to the death of brain tissue due to oxygen deprivation. Thrombectomy has become a…

eess.IV2024

Artificial Immunofluorescence in a Flash: Rapid Synthetic Imaging from Brightfield Through Residual Diffusion

Xiaodan Xing, Chunling Tang, Siofra Murdoch +10

Immunofluorescent (IF) imaging is crucial for visualizing biomarker expressions, cell morphology and assessing the effects of drug treatments on sub-cellular components. IF imaging…

eess.IV2024

Can Generative AI Replace Immunofluorescent Staining Processes? A Comparison Study of Synthetically Generated CellPainting Images from Brightfield

Xiaodan Xing, Siofra Murdoch, Chunling Tang +7

Cell imaging assays utilizing fluorescence stains are essential for observing sub-cellular organelles and their responses to perturbations. Immunofluorescent staining process is ro…

eess.IV2024

Fuzzy Attention-based Border Rendering Network for Lung Organ Segmentation

Sheng Zhang, Yang Nan, Yingying Fang +4

Automatic lung organ segmentation on CT images is crucial for lung disease diagnosis. However, the unlimited voxel values and class imbalance of lung organs can lead to false-negat…