4 citations · 4 across the 2 of their papers we have counts for
3 papers
eess.IV2020★ 4 cited
Using a Generative Adversarial Network for CT Normalization and its Impact on Radiomic Features
Leihao Wei, Yannan Lin, William Hsu
Computer-Aided-Diagnosis (CADx) systems assist radiologists with identifying and classifying potentially malignant pulmonary nodules on chest CT scans using morphology and texture-…
q-bio.QM2019
Discovering and interpreting transcriptomic drivers of imaging traits using neural networks
Nova F. Smedley, Suzie El-Saden, William Hsu
Motivation. Cancer heterogeneity is observed at multiple biological levels. To improve our understanding of these differences and their relevance in medicine, approaches to link or…
cs.IR2019
OpBerg: Discovering causal sentences using optimal alignments
Justin Wood, Nicholas J. Matiasz, Alcino J. Silva +3
The biological literature is rich with sentences that describe causal relations. Methods that automatically extract such sentences can help biologists to synthesize the literature…