18 citations · 41 across the 5 of their papers we have counts for
5 papers
Cycle-guided Denoising Diffusion Probability Model for 3D Cross-modality MRI Synthesis
Shaoyan Pan, Chih-Wei Chang, Junbo Peng +7
This study aims to develop a novel Cycle-guided Denoising Diffusion Probability Model (CG-DDPM) for cross-modality MRI synthesis. The CG-DDPM deploys two DDPMs that condition each…
Reinforcement Learning in Medical Image Analysis: Concepts, Applications, Challenges, and Future Directions
Mingzhe Hu, Jiahan Zhang, Luke Matkovic +2
Motivation: Medical image analysis involves tasks to assist physicians in qualitative and quantitative analysis of lesions or anatomical structures, significantly improving the acc…
Automatic Inverse Treatment Planning for Gamma Knife Radiosurgery via Deep Reinforcement Learning
Yingzi Liu, Chenyang Shen, Tonghe Wang +6
Purpose: Several inverse planning algorithms have been developed for Gamma Knife (GK) radiosurgery to determine a large number of plan parameters via solving an optimization proble…
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…