activity
20232026
most citedEnhancing Digital Hologram Reconstruction Using Reverse-Attention Loss for Untrained Physics-Driven Deep Learning Models with Uncertain Distance

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

eess.IV2026

Bonnet: Ultra-fast whole-body bone segmentation from CT scans

Hanjiang Zhu, Pedro Martelleto Rezende, Zhang Yang +5

This work proposes Bonnet, an ultra-fast sparse-volume pipeline for whole-body bone segmentation from CT scans. Accurate bone segmentation is important for surgical planning and an…

cs.CV2024★ 1 cited

Enhancing Digital Hologram Reconstruction Using Reverse-Attention Loss for Untrained Physics-Driven Deep Learning Models with Uncertain Distance

Xiwen Chen, Hao Wang, Zhao Zhang +4

Untrained Physics-based Deep Learning (DL) methods for digital holography have gained significant attention due to their benefits, such as not requiring an annotated training datas…

eess.IV2023

Quantification of cardiac capillarization in single-immunostained myocardial slices using weakly supervised instance segmentation

Zhao Zhang, Xiwen Chen, William Richardson +3

Decreased myocardial capillary density has been reported as an important histopathological feature associated with various heart disorders. Quantitative assessment of cardiac capil…