activity
20202023
most citedCBCT-Based Synthetic CT Image Generation Using Conditional Denoising Diffusion Probabilistic Model

117 citations · 186 across the 6 of their papers we have counts for

collaborators

7 papers

physics.med-ph2023

Streamlined Pin-Ridge-Filter Design for Single-energy Proton FLASH Planning

Chaoqiong Ma, Jun Zhou, Chih-Wei Chang +5

Purpose: This study explored the feasibility of a streamlined pin-shaped ridge filter (pin-RF) design for single-energy proton FLASH planning. Methods: An inverse planning framewor…

eess.IV2023★ 10 cited

Synthetic CT Generation from MRI using 3D Transformer-based Denoising Diffusion Model

Shaoyan Pan, Elham Abouei, Jacob Wynne +10

Magnetic resonance imaging (MRI)-based synthetic computed tomography (sCT) simplifies radiation therapy treatment planning by eliminating the need for CT simulation and error-prone…

eess.IV2023★ 1 cited

Cross-Shaped Windows Transformer with Self-supervised Pretraining for Clinically Significant Prostate Cancer Detection in Bi-parametric MRI

Yuheng Li, Jacob Wynne, Jing Wang +8

Biparametric magnetic resonance imaging (bpMRI) has demonstrated promising results in prostate cancer (PCa) detection using convolutional neural networks (CNNs). Recently, transfor…

physics.med-ph2023★ 117 cited

CBCT-Based Synthetic CT Image Generation Using Conditional Denoising Diffusion Probabilistic Model

Junbo Peng, Richard L. J. Qiu, Jacob F Wynne +8

Background: Daily or weekly cone-beam computed tomography (CBCT) scans are commonly used for accurate patient positioning during the image-guided radiotherapy (IGRT) process, makin…

cs.CV2022★ 53 cited

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…

eess.IV2022★ 4 cited

Deformable Image Registration using Unsupervised Deep Learning for CBCT-guided Abdominal Radiotherapy

Huiqiao Xie, Yang Lei, Yabo Fu +6

CBCTs in image-guided radiotherapy provide crucial anatomy information for patient setup and plan evaluation. Longitudinal CBCT image registration could quantify the inter-fraction…