most citedAutomated anomaly-aware 3D segmentation of bones and cartilages in knee MR images from the Osteoarthritis Initiative

1 citations · 1 across the 2 of their papers we have counts for

collaborators
Showing eess.IVShow all

2 papers · 1 filter

eess.IV2022★ 1 cited

Automated anomaly-aware 3D segmentation of bones and cartilages in knee MR images from the Osteoarthritis Initiative

Boyeong Woo, Craig Engstrom, William Baresic +3

In medical image analysis, automated segmentation of multi-component anatomical structures, which often have a spectrum of potential anomalies and pathologies, is a challenging tas…

eess.IV2021

CAN3D: Fast 3D Medical Image Segmentation via Compact Context Aggregation

Wei Dai, Boyeong Woo, Siyu Liu +6

Direct automatic segmentation of objects from 3D medical imaging, such as magnetic resonance (MR) imaging, is challenging as it often involves accurately identifying a number of in…