» Authors » Zujun Hou

Zujun Hou

Explore the profile of Zujun Hou including associated specialties, affiliations and a list of published articles. Areas
Snapshot
Articles 23
Citations 97
Followers 0
Related Specialties
Top 10 Co-Authors
Published In
Affiliations
Soon will be listed here.
Recent Articles
1.
Zhang H, Yang J, Wu K, Hou Z, Du J, Yan J, et al.
Front Oncol . 2024 Dec; 14:1450388. PMID: 39711955
Purpose: The aim of this study was to evaluate the diagnostic value of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) derived kinetic parameters with high spatiotemporal resolution in discriminating malignant from...
2.
Zhao K, Huang H, Gao E, Qi J, Chen T, Zhao G, et al.
Front Oncol . 2024 Nov; 14:1333798. PMID: 39525622
Objectives: To investigate the clinical value of hemodynamic parameters derived from dynamic contrast-enhanced MRI (DCE-MRI) in predicting glioma genotypes including isocitrate dehydrogenase () mutation, codeletion status and the tumor proliferation...
3.
Zhu J, Gan M, Yang Y, Pang H, Zhu Z, Hou Z, et al.
Abdom Radiol (NY) . 2024 Oct; 50(1):336-345. PMID: 39373771
Purpose: This study aimed to assess single kidney glomerular filtration rate (GFR) using various diffusion weighted imaging (DWI) models. Methods: We reviewed adult patients with kidney diseases who underwent magnetic...
4.
Zhou J, Hou Z, Tian C, Zhu Z, Ye M, Chen S, et al.
Front Oncol . 2024 Jul; 14:1380793. PMID: 38947892
Glioma is the most common type of primary malignant tumor of the central nervous system (CNS), and is characterized by high malignancy, high recurrence rate and poor survival. Conventional imaging...
5.
Wang X, Ye Z, Li S, Yan Z, Cheng J, Ning G, et al.
Acta Radiol . 2024 Jan; 65(7):851-859. PMID: 38196316
Background: Parameters from diffusion-weighted imaging (DWI) have been increasingly used as imaging biomarkers for the diagnosis and monitoring of treatment responses in cancer. The consistency of DWI measurements across different...
6.
Shen L, Du L, Hu Y, Chen X, Hou Z, Yan Z, et al.
Acta Radiol . 2023 Jun; 64(9):2651-2658. PMID: 37291882
Background: Patients with early endometrial carcinoma (EC) have a good prognosis, but it is difficult to distinguish from endometrial polyps (EPs). Purpose: To develop and assess magnetic resonance imaging (MRI)-based...
7.
Lei L, Du L, He Y, Yuan J, Wang P, Ye B, et al.
Front Oncol . 2023 Apr; 13:1123493. PMID: 37091168
Introduction: The successful use of machine learning (ML) for medical diagnostic purposes has prompted myriad applications in cancer image analysis. Particularly for hepatocellular carcinoma (HCC) grading, there has been a...
8.
Du L, Yuan J, Gan M, Li Z, Wang P, Hou Z, et al.
BMC Med Imaging . 2022 Dec; 22(1):218. PMID: 36517762
Purpose: To compare a deep learning model with a radiomics model in differentiating high-grade (LR-3, LR-4, LR-5) liver imaging reporting and data system (LI-RADS) liver tumors from low-grade (LR-1, LR-2)...
9.
Wang X, Li S, Lin X, Lu Y, Mao C, Ye Z, et al.
Front Oncol . 2022 Nov; 12:958219. PMID: 36324571
Objectives: This study assessed the clinical value of parameters derived from dynamic contrast-enhanced (DCE) MRI with respect to correlation with angiogenesis and proliferation of cervical cancer, performance of diagnosis and...
10.
Li W, Fang W, Wang J, He Y, Deng G, Ye H, et al.
Transl Vis Sci Technol . 2022 Mar; 11(3):9. PMID: 35262648
Purpose: The purpose of this study was to design an automated algorithm that can detect fluorescence leakage accurately and quickly without the use of a large amount of labeled data....