activity
20202025
most citedData-driven dose calculation algorithm based on deep learning

49 citations · 58 across the 5 of their papers we have counts for

collaborators

5 papers

eess.IV2025

Efficient Image-to-Image Schrödinger Bridge for CT Field of View Extension

Zhenhao Li, Song Ni, Long Yang +6

Computed tomography (CT) is a cornerstone imaging modality for non-invasive, high-resolution visualization of internal anatomical structures. However, when the scanned object excee…

physics.med-ph2023

A new dose calculation system implemented in image domain -- A multi-institutional study

Jiawei Fan, Zhiqiang Liu, Dong Yang +4

In this work, we propose a new computing process, named DeepBEVdose, which is essentially distinct to the previous deep learning-based dose calculation methods.We present a novel i…

physics.med-ph2022★ 8 cited

A clinically relevant online patient QA solution with daily CT scans and EPID-based in vivo dosimetry: A feasible study on rectal cancer

Liyuan Chen, Zhiyuan Zhang, Lei Yu +8

Adaptive radiation therapy (ART) could protect organs at risk (OARs) while maintain high dose coverage to targets. However, there still lack efficient online patient QA methods. We…

physics.med-ph2022★ 1 cited

First implementation of full-workflow automation in radiotherapy: the All-in-One solution on rectal cancer

Lei Yu, Jun Zhao, Fan Xia +7

The aim of this work is to describe the technical characteristics of an AI-powered radiotherapy workflow that enables full-process automation (All-in-One), evaluate its performance…

physics.med-ph2020★ 49 cited

Data-driven dose calculation algorithm based on deep learning

Jiawei Fan, Lei Xing, Peng Dong +3

In this study we performed a feasibility investigation on implementing a fast and accurate dose calculation based on a deep learning technique. A two dimensional (2D) fluence map w…