53 citations · 70 across the 4 of their papers we have counts for
4 papers
Landmark Tracking in Liver US images Using Cascade Convolutional Neural Networks with Long Short-Term Memory
Yupei Zhang, Xianjin Dai, Zhen Tian +6
This study proposed a deep learning-based tracking method for ultrasound (US) image-guided radiation therapy. The proposed cascade deep learning model is composed of an attention n…
Synthetic MRI-aided Head-and-Neck Organs-at-Risk Auto-Delineation for CBCT-guided Adaptive Radiotherapy
Xianjin Dai, Yang Lei, Tonghe Wang +7
Purpose: Organ-at-risk (OAR) delineation is a key step for cone-beam CT (CBCT) based adaptive radiotherapy planning that can be a time-consuming, labor-intensive, and subject-to-va…
Intensity Non-uniformity Correction in MR Imaging Using Residual Cycle Generative Adversarial Network
Xianjin Dai, Yang Lei, Yingzi Liu +6
Purpose: Correcting or reducing the effects of voxel intensity non-uniformity (INU) within a given tissue type is a crucial issue for quantitative MRI image analysis in daily clini…
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…