output
20192024
most citedPrototype Learning Guided Hybrid Network for Breast Tumor Segmentation in DCE-MRI

33 citations

5 papers

physics.med-ph20211 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…

q-bio.PE2020

A prognostic dynamic model applicable to infectious diseases providing easily visualized guides -- A case study of COVID-19 in the UK

Yuxuan Zhang, Chen Gong, Dawei Li +5

A reasonable prediction of infectious diseases transmission process under different disease control strategies is an important reference point for policy makers. Here we establishe…

eess.IV20206 cited

Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein Segmentation in CT

Yulei Qin, Hao Zheng, Yun Gu +6

Training convolutional neural networks (CNNs) for segmentation of pulmonary airway, artery, and vein is challenging due to sparse supervisory signals caused by the severe class imb…

q-bio.TO202010 cited

Population pharmacokinetics and dosing regimen optimization of tacrolimus in Chinese lung transplant recipients

Xiaojun Cai, Huizhu Song, Zheng Jiao +7

We aimed to develop a population pharmacokinetic model of tacrolimus in Chinese lung transplant recipients, and propose model based dosing regimens for individualized treatment. We…

q-bio.QM201922 cited

Population Pharmacokinetic Study of Tacrolimus in Pediatric Patients with Primary Nephrotic Syndrome: A Comparison of Linear and Nonlinear Michaelis Menten Pharmacokinetic Model

Lingfei Huang, Yixi Liu, Zheng Jiao +3

Background Little is known about the population pharmacokinetics (PPK) of tacrolimus (TAC) in pediatric primary nephrotic syndrome (PNS). This study aimed to compare the predictive…