451 citations · 894 across the 27 of their papers we have counts for
4 papers · 1 filter
Atlas Based Segmentations via Semi-Supervised Diffeomorphic Registrations
Charles Huang, Masoud Badiei, Hyunseok Seo +5
Purpose: Segmentation of organs-at-risk (OARs) is a bottleneck in current radiation oncology pipelines and is often time consuming and labor intensive. In this paper, we propose an…
Modified U-Net (mU-Net) with Incorporation of Object-Dependent High Level Features for Improved Liver and Liver-Tumor Segmentation in CT Images
Hyunseok Seo, Charles Huang, Maxime Bassenne +2
Segmentation of livers and liver tumors is one of the most important steps in radiation therapy of hepatocellular carcinoma. The segmentation task is often done manually, making it…
Automatic target positioning and tracking for image-guided radiotherapy without implanted fiducials
Wei Zhao, Liyue Shen, Yan Wu +3
Current image-guided prostate radiotherapy often relies on the use of implanted fiducials or transducers for target localization. Fiducial or transducer insertion requires an invas…
Dual-energy CT imaging using a single-energy CT data is feasible via deep learning
Wei Zhao, Tianling Lv, Peng Gao +6
In a standard computed tomography (CT) image, pixels having the same Hounsfield Units (HU) can correspond to different materials and it is, therefore, challenging to differentiate…