1 citations · 3 across the 3 of their papers we have counts for
3 papers
eess.IV2023★ 1 cited
Self-Supervised CSF Inpainting with Synthetic Atrophy for Improved Accuracy Validation of Cortical Surface Analyses
Jiacheng Wang, Kathleen E. Larson, Ipek Oguz
Accuracy validation of cortical thickness measurement is a difficult problem due to the lack of ground truth data. To address this need, many methods have been developed to synthet…
eess.IV2021★ 1 cited
Unsupervised Cross-Modality Domain Adaptation for Segmenting Vestibular Schwannoma and Cochlea with Data Augmentation and Model Ensemble
Hao Li, Dewei Hu, Qibang Zhu +3
Magnetic resonance images (MRIs) are widely used to quantify vestibular schwannoma and the cochlea. Recently, deep learning methods have shown state-of-the-art performance for segm…
eess.IV2021★ 1 cited
LIFE: A Generalizable Autodidactic Pipeline for 3D OCT-A Vessel Segmentation
Dewei Hu, Can Cui, Hao Li +3
Optical coherence tomography (OCT) is a non-invasive imaging technique widely used for ophthalmology. It can be extended to OCT angiography (OCT-A), which reveals the retinal vascu…