44 citations · 87 across the 11 of their papers we have counts for
5 papers · 1 filter
A Deep Learning Model with Radiomics Analysis Integration for Glioblastoma Post-Resection Survival Prediction
Zongsheng Hu, Zhenyu Yang, Haozhao Zhang +4
Purpose: To develop a novel deep-learning model that integrates radiomics analysis in a multi-dimensional feature fusion workflow for glioblastoma (GBM) post-resection survival pre…
Post-Radiotherapy PET Image Outcome Prediction by Deep Learning under Biological Model Guidance: A Feasibility Study of Oropharyngeal Cancer Application
Hangjie Ji, Kyle Lafata, Yvonne Mowery +4
This paper develops a method of biologically guided deep learning for post-radiation FDG-PET image outcome prediction based on pre-radiation images and radiotherapy dose informatio…
Quantification of lung function on CT images based on pulmonary radiomic filtering
Zhenyu Yang, Kyle J Lafata, Xinru Chen +4
Purpose: To develop a radiomics filtering technique for characterizing spatial-encoded regional pulmonary ventilation information on lung CT. Methods: The lung volume was segmented…
An interpretable planning bot for pancreas stereotactic body radiation therapy
Jiahan Zhang, Chunhao Wang, Yang Sheng +9
Pancreas stereotactic body radiotherapy treatment planning requires planners to make sequential, time consuming interactions with the treatment planning system (TPS) to reach the o…
An Artificial Intelligence-Driven Agent for Real-Time Head-and-Neck IMRT Plan Generation using Conditional Generative Adversarial Network (cGAN)
Xinyi Li, Yang Sheng, Jiahan Zhang +6
Purpose: To develop an Artificial Intelligence (AI) agent for fully-automated rapid head and neck (H&N) IMRT plan generation without time-consuming inverse planning.$$$$ Methods: T…