Alpha 2.0
Login Register
» Authors » Xinzeng Wang

Xinzeng Wang

Explore the profile of Xinzeng Wang including associated specialties, affiliations and a list of published articles. Areas
Snapshot
Articles 23
Citations 163
Followers 0
Related Specialties
Radiology
Biotechnology
Oncology
Top 10 Co-Authors
Ananth J Madhuranthakam
Robert E Lenkinski
Jingfei Ma
Jia Sun
Shu Zhang
Shudong Wang
Shanchen Pang
Elena Vinogradov
Ivan Pedrosa
Jong Bum Son
Published In
Magn Reson Med
Invest Radiol
Br J Radiol
Sensors (Basel)
Biomed Res Int
Affiliations
Soon will be listed here.
Recent Articles
1.
T2-weighted imaging of rectal cancer using a 3D fast spin echo sequence with and without deep learning reconstruction: A reader study
Nguyen D, Palmquist S, Hwang K, Ma J, Salem U, Sun J, et al.
J Appl Clin Med Phys . 2025 Feb; :e70031. PMID: 39976552
Purpose: To compare image quality and clinical utility of a T2-weighted (T2W) 3-dimensional (3D) fast spin echo (FSE) sequence using deep learning reconstruction (DLR) versus conventional reconstruction for rectal magnetic...
2.
Motion-Compensated Multishot Pancreatic Diffusion-Weighted Imaging With Deep Learning-Based Denoising
Wang K, Middione M, Loening A, Syed A, Hannum A, Wang X, et al.
Invest Radiol . 2025 Jan; PMID: 39823511
Objectives: Pancreatic diffusion-weighted imaging (DWI) has numerous clinical applications, but conventional single-shot methods suffer from off resonance-induced artifacts like distortion and blurring while cardiovascular motion-induced phase inconsistency leads to quantitative...
3.
Clinical efficacy of motion-insensitive imaging technique with deep learning reconstruction to improve image quality in cervical spine MR imaging
Song Y, Lee I, Hwang M, Jang K, Wang X, Fung M
Br J Radiol . 2024 Feb; 97(1156):812-819. PMID: 38366622
Objective: To demonstrate that a T2 periodically rotated overlapping parallel lines with enhanced reconstruction (PROPELLER) technique using deep learning reconstruction (DLR) will provide better image quality and decrease image noise....
4.
Ultra-High-Resolution T2-Weighted PROPELLER MRI of the Rectum With Deep Learning Reconstruction: Assessment of Image Quality and Diagnostic Performance
Matsumoto S, Tsuboyama T, Onishi H, Fukui H, Honda T, Wakayama T, et al.
Invest Radiol . 2023 Nov; 59(7):479-488. PMID: 37975732
Objective: The aim of this study was to evaluate the impact of ultra-high-resolution acquisition and deep learning reconstruction (DLR) on the image quality and diagnostic performance of T2-weighted periodically rotated...
5.
A Feasibility Study on Deep Learning Reconstruction to Improve Image Quality With PROPELLER Acquisition in the Setting of T2-Weighted Gynecologic Pelvic Magnetic Resonance Imaging
Saleh M, Virarkar M, Javadi S, Mathew M, Vulasala S, Son J, et al.
J Comput Assist Tomogr . 2023 Sep; 47(5):721-728. PMID: 37707401
Objectives: Evaluate deep learning (DL) to improve the image quality of the PROPELLER (Periodically Rotated Overlapping Parallel Lines with Enhanced Reconstruction technique) for 3 T magnetic resonance imaging of the...
6.
Comparison of deep learning-based reconstruction of PROPELLER Shoulder MRI with conventional reconstruction
Hahn S, Yi J, Lee H, Lee Y, Lee J, Wang X, et al.
Skeletal Radiol . 2023 Mar; 52(8):1545-1555. PMID: 36943429
Objective: To compare the image quality and agreement among conventional and accelerated periodically rotated overlapping parallel lines with enhanced reconstruction (PROPELLER) MRI with both conventional reconstruction (CR) and deep learning-based...
7.
IL-2K35C-moFA, a Long-Acting Engineered Cytokine with Decreased Interleukin 2 Receptor α Binding, Improved the Cellular Selectivity Profile and Antitumor Efficacy in a Mouse Tumor Model
Wang X, Chen G, Nie L, Wu Z, Wang X, Pan C, et al.
Cancers (Basel) . 2022 Oct; 14(19). PMID: 36230665
Human interleukin 2 (IL-2) has shown impressive results as a therapeutic agent for cancer. However, IL-2-based cancer therapy is limited by strong Treg amplification owing to its high binding affinity...
8.
Application of deep learning-based image reconstruction in MR imaging of the shoulder joint to improve image quality and reduce scan time
Kaniewska M, Deininger-Czermak E, Getzmann J, Wang X, Lohezic M, Guggenberger R
Eur Radiol . 2022 Sep; 33(3):1513-1525. PMID: 36166084
Objectives: To compare the image quality and diagnostic performance of conventional motion-corrected periodically rotated overlapping parallel line with enhanced reconstruction (PROPELLER) MRI sequences with post-processed PROPELLER MRI sequences using deep...
9.
EOESGC: predicting miRNA-disease associations based on embedding of embedding and simplified graph convolutional network
Pang S, Zhuang Y, Wang X, Wang F, Qiao S
BMC Med Inform Decis Mak . 2021 Nov; 21(1):319. PMID: 34789236
Background: A large number of biological studies have shown that miRNAs are inextricably linked to many complex diseases. Studying the miRNA-disease associations could provide us a root cause understanding of...
10.
Assessment of Early Response to Neoadjuvant Systemic Therapy in Triple-Negative Breast Cancer Using Amide Proton Transfer-weighted Chemical Exchange Saturation Transfer MRI: A Pilot Study
Zhang S, Rauch G, Adrada B, Boge M, Mohamed R, Abdelhafez A, et al.
Radiol Imaging Cancer . 2021 Sep; 3(5):e200155. PMID: 34477453
Purpose To determine if amide proton transfer-weighted chemical exchange saturation transfer (APT CEST) MRI is useful in the early assessment of treatment response in persons with triple-negative breast cancer (TNBC)....