127 citations · 582 across the 10 of their papers we have counts for
10 papers
An automatic deep learning-based workflow for glioblastoma survival prediction using pre-operative multimodal MR images
Jie Fu, Kamal Singhrao, Xinran Zhong +5
We proposed a fully automatic workflow for glioblastoma (GBM) survival prediction using deep learning (DL) methods. 285 glioma (210 GBM, 75 low-grade glioma) patients were included…
Deep Learning-based Radiomic Features for Improving Neoadjuvant Chemoradiation Response Prediction in Locally Advanced Rectal Cancer
Jie Fu, Xinran Zhong, Ning Li +6
Radiomic features achieve promising results in cancer diagnosis, treatment response prediction, and survival prediction. Our goal is to compare the handcrafted (explicitly designed…
Generation of abdominal synthetic CTs from 0.35T MR images using generative adversarial networks for MR-only liver radiotherapy
Jie Fu, Kamal Singhrao, Minsong Cao +7
Electron density maps must be accurately estimated to achieve valid dose calculation in MR-only radiotherapy. The goal of this study is to assess whether two deep learning models,…
Male pelvic synthetic CT generation from T1-weighted MRI using 2D and 3D convolutional neural networks
Jie Fu, Yingli Yang, Kamal Singhrao +3
To achieve magnetic resonance (MR)-only radiotherapy, a method needs to be employed to estimate a synthetic CT (sCT) for generating electron density maps and patient positioning re…
A location-mixture autoregressive model for online forecasting of lung tumor motion
Daniel Cervone, Natesh S. Pillai, Debdeep Pati +2
Lung tumor tracking for radiotherapy requires real-time, multiple-step ahead forecasting of a quasi-periodic time series recording instantaneous tumor locations. We introduce a loc…
A Mass-Conserving 4D XCAT Phantom for Dose Calculation and Accumulation
Christopher L. Williams, Pankaj Mishra, Joao Seco +4
The XCAT phantom is a realistic 4D digital torso phantom that is widely used in imaging and therapy research. However, lung mass is not conserved between respiratory phases of the…
3D tumor localization through real-time volumetric x-ray imaging for lung cancer radiotherapy
Ruijiang Li, John H. Lewis, Xun Jia +5
Recently we have developed an algorithm for reconstructing volumetric images and extracting 3D tumor motion information from a single x-ray projection. We have demonstrated its fea…
Real-time volumetric image reconstruction and 3D tumor localization based on a single x-ray projection image for lung cancer radiotherapy
Ruijiang Li, Xun Jia, John H. Lewis +4
Purpose: To develop an algorithm for real-time volumetric image reconstruction and 3D tumor localization based on a single x-ray projection image for lung cancer radiotherapy. Meth…
PCA-based lung motion model
Ruijiang Li, John Lewis, Xun Jia +5
Organ motion induced by respiration may cause clinically significant targeting errors and greatly degrade the effectiveness of conformal radiotherapy. It is therefore crucial to be…
GPU-based Fast Low-dose Cone Beam CT Reconstruction via Total Variation
Xun Jia, Yifei Lou, John Lewis +5
Cone-beam CT (CBCT) has been widely used in image guided radiation therapy (IGRT) to acquire updated volumetric anatomical information before treatment fractions for accurate patie…