most citedFunctional PCA and Deep Neural Networks-based Bayesian Inverse Uncertainty Quantification with Transient Experimental Data

20 citations · 29 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2024

Deep Mutual Learning among Partially Labeled Datasets for Multi-Organ Segmentation

Xiaoyu Liu, Linhao Qu, Ziyue Xie +2

The task of labeling multiple organs for segmentation is a complex and time-consuming process, resulting in a scarcity of comprehensively labeled multi-organ datasets while the eme…

stat.ML2023★ 20 cited

Functional PCA and Deep Neural Networks-based Bayesian Inverse Uncertainty Quantification with Transient Experimental Data

Ziyu Xie, Mahmoud Yaseen, Xu Wu

Inverse UQ is the process to inversely quantify the model input uncertainties based on experimental data. This work focuses on developing an inverse UQ process for time-dependent r…

eess.IV2023★ 9 cited

Towards more precise automatic analysis: a comprehensive survey of deep learning-based multi-organ segmentation

Xiaoyu Liu, Linhao Qu, Ziyue Xie +3

Accurate segmentation of multiple organs of the head, neck, chest, and abdomen from medical images is an essential step in computer-aided diagnosis, surgical navigation, and radiat…