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

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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.IV2022

Structure Guided Manifolds for Discovery of Disease Characteristics

Siyu Liu, Linfeng Liu, Xuan Vinh +4

In medical image analysis, the subtle visual characteristics of many diseases are challenging to discern, particularly due to the lack of paired data. For example, in mild Alzheime…

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…