6 citations · 8 across the 2 of their papers we have counts for
3 papers
eess.IV2020★ 2 cited
Deep Learning Based Segmentation of Various Brain Lesions for Radiosurgery
Siang-Ruei Wu, Hao-Yun Chang, Florence T Su +6
Semantic segmentation of medical images with deep learning models is rapidly developed. In this study, we benchmarked state-of-the-art deep learning segmentation algorithms on our…
eess.IV2019
Multimodal Volume-Aware Detection and Segmentation for Brain Metastases Radiosurgery
Szu-Yeu Hu, Wei-Hung Weng, Shao-Lun Lu +4
Stereotactic radiosurgery (SRS), which delivers high doses of irradiation in a single or few shots to small targets, has been a standard of care for brain metastases. While very ef…
physics.med-ph2017★ 6 cited
A Simple, Fast and Fully Automated Approach for Midline Shift Measurement on Brain Computed Tomography
Huan-Chih Wang, Shih-Hao Ho, Furen Xiao +1
Brain CT has become a standard imaging tool for emergent evaluation of brain condition, and measurement of midline shift (MLS) is one of the most important features to address for…