12 citations · 22 across the 3 of their papers we have counts for
3 papers
eess.IV2023★ 1 cited
Generative AI for Rapid Diffusion MRI with Improved Image Quality, Reliability and Generalizability
Amir Sadikov, Xinlei Pan, Hannah Choi +2
Diffusion MRI is a non-invasive, in-vivo biomedical imaging method for mapping tissue microstructure. Applications include structural connectivity imaging of the human brain and de…
cs.CV2018★ 9 cited
Cost-Sensitive Active Learning for Intracranial Hemorrhage Detection
Weicheng Kuo, Christian Häne, Esther Yuh +2
Deep learning for clinical applications is subject to stringent performance requirements, which raises a need for large labeled datasets. However, the enormous cost of labeling med…
cs.CV2018★ 12 cited
PatchFCN for Intracranial Hemorrhage Detection
Weicheng Kuo, Christian Häne, Esther Yuh +2
This paper studies the problem of detecting and segmenting acute intracranial hemorrhage on head computed tomography (CT) scans. We propose to solve both tasks as a semantic segmen…