output
20212023
most citedDeepMTS: Deep Multi-task Learning for Survival Prediction in Patients with Advanced Nasopharyngeal Carcinoma using Pretreatment PET/CT

67 citations

7 papers

eess.IV2023★ 10 cited

AdaMSS: Adaptive Multi-Modality Segmentation-to-Survival Learning for Survival Outcome Prediction from PET/CT Images

Mingyuan Meng, Bingxin Gu, Michael Fulham +4

Survival prediction is a major concern for cancer management. Deep survival models based on deep learning have been widely adopted to perform end-to-end survival prediction from me…

q-bio.QM2022★ 6 cited

Flow Rate Independent Multiscale Liquid Biopsy for Precision Oncology

Jing Yan, Jie Wang, Robert Dallmann +2

Immunoaffinity-based liquid biopsies of circulating tumor cells (CTCs) hold great promise for cancer management, but typically suffer from low throughput, relative complexity and p…

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-ph2021★ 1 cited

Nanoparticle Radiosensitization: from extended local effect modeling to a survival modificationframework of compound Poisson additive killing and its carbon dots validation

Hailun Pan, Xiaowa Wang, Aihui Feng +8

Objective: To construct an analytical model instead of local effect modeling for the prediction of the biological effectiveness of nanoparticle radiosensitization. Approach: An ext…

eess.IV2021★ 67 cited

DeepMTS: Deep Multi-task Learning for Survival Prediction in Patients with Advanced Nasopharyngeal Carcinoma using Pretreatment PET/CT

Mingyuan Meng, Bingxin Gu, Lei Bi +3

Nasopharyngeal Carcinoma (NPC) is a malignant epithelial cancer arising from the nasopharynx. Survival prediction is a major concern for NPC patients, as it provides early prognost…

physics.med-ph2021

Fluence Adaptation for Task-based Dose Optimization in X-ray Phase-Contrast Imaging

Chengpeng Wu, Yuxiang Xing, Li Zhang +4

Purpose: Grating-based imaging (GBI) and edge-illumination (EI) are two promising types of XPCI as the conventional x-ray sources can be directly utilized. For GBI and EI systems,…