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

33 citations

10 papers

eess.IV2024★ 33 cited

Prototype Learning Guided Hybrid Network for Breast Tumor Segmentation in DCE-MRI

Lei Zhou, Yuzhong Zhang, Jiadong Zhang +8

Automated breast tumor segmentation on the basis of dynamic contrast-enhancement magnetic resonance imaging (DCE-MRI) has shown great promise in clinical practice, particularly for…

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…

cs.CV2021★ 3 cited

DSR: Direct Simultaneous Registration for Multiple 3D Images

Zhehua Mao, Liang Zhao, Shoudong Huang +2

This paper presents a novel algorithm named Direct Simultaneous Registration (DSR) that registers a collection of 3D images in a simultaneous fashion without specifying any referen…

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.IV2020★ 6 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…

eess.IV2020★ 3 cited

Alleviating Class-wise Gradient Imbalance for Pulmonary Airway Segmentation

Hao Zheng, Yulei Qin, Yun Gu +4

Automated airway segmentation is a prerequisite for pre-operative diagnosis and intra-operative navigation for pulmonary intervention. Due to the small size and scattered spatial d…

eess.IV2020★ 13 cited

Learning Tumor Growth via Follow-Up Volume Prediction for Lung Nodules

Yamin Li, Jiancheng Yang, Yi Xu +5

Follow-up serves an important role in the management of pulmonary nodules for lung cancer. Imaging diagnostic guidelines with expert consensus have been made to help radiologists m…

cs.CV2020★ 16 cited

AlignShift: Bridging the Gap of Imaging Thickness in 3D Anisotropic Volumes

Jiancheng Yang, Yi He, Xiaoyang Huang +4

This paper addresses a fundamental challenge in 3D medical image processing: how to deal with imaging thickness. For anisotropic medical volumes, there is a significant performance…

q-bio.TO2020★ 10 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.QM2019★ 22 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…