About

About

AvatarMaker

  
NameXuchu Liu
eMailachillesy@gmail.com
SummaryAdaptable R&D engineer excels in rapidly acquiring
and mastering knowledge to drive project success.

SKILLS

  • Seasoned Programmer: Over two decades of expertise mastering a diverse range of mainstream programming languages.
  • Dual-Degree Holder: Holds degrees in Communications and Computer Science, specializing in embedded programming.
  • Linux Proficiency: Proficient in Linux environments, demonstrating adaptability in various Research and Development (R&D) settings.
  • Passionate about AI: Deep passion for Artificial Intelligence, particularly excelling in image processing, evidenced by successful completion of multiple research projects.
  • Versatile Researcher: Proficient in meeting diverse research demands, including graphical interface programming and API interface development, showcasing equal expertise across various domains.

PUBLLICATIONS

GoogleScholar

ResearchGate ResearchGate

SciProfiles SciProfiles

ORCiD

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Fetal Gestational Age Prediction in Brain Magnetic Resonance Imaging Using Artificial Intelligence: A Comparative Study of Three Biometric Techniques July 2024
Reproductive Medicine
DOI: 10.3390/reprodmed5030012
CONTRIBUTORS: Farzan Vahedifard; Xuchu Liu; Kranthi K. Marathu; H. Asher Ai; Mark P. Supanich; Mehmet Kocak; Seth Adler; Shehbaz M. Ansari; Melih Akyuz; Jubril O. Adepoju; Sharon Byrd

Fetal MRI Analysis of Corpus Callosal Abnormalities: Classification and Associated Anomalies January 2024
Diagnostics
DOI: 10.3390/diagnostics14040430
CONTRIBUTORS: Kranthi K. Marathu; Farzan Vahedifard; Mehmet Kocak; Xuchu Liu; Jubril O. Adepoju; Rakhee M. Bowker; Mark Supanich; Rosario M. Cosme-Cruz; Sharon Byrd

Artificial Intelligence in Fetal Resting-State Functional MRI Brain Segmentation: A Comparative Analysis of 3D UNet, VNet, and HighRes-Net Models Nov 2023
DOI: 10.48550/arXiv.2311.10844
CONTRIBUTORS: Farzan Vahedifard; Xuchu Liu; Mehmet Kocak; H. Asher Ai; Mark Supanich; Christopher Sica.; Kranthi K Marathu; Seth Adler; Maysam Orouskhani; Sharon Byrd

Automatic Localization of the Pons and Vermis on Fetal Brain MR Imaging Using a U-Net Deep Learning Model August 2023
American Journal of Neuroradiology
DOI: 10.3174/ajnr.A7978
CONTRIBUTORS: Farzan Vahedifard; Xuchu Liu; Jubril O. Adepoju; Shiqiao Zhao; H. Asher Ai; Kranthi K. Marathu; Mark Supanich; Sharon E. Byrd; Jie Deng

Automatic Ventriculomegaly Detection in Fetal Brain MRI: A Step-by-Step Deep Learning Model for Novel 2D-3D Linear Measurements July 2023
Diagnostics
DOI: 10.3390/diagnostics13142355
CONTRIBUTORS: Farzan Vahedifard; H. Asher Ai; Mark P. Supanich; Kranthi K. Marathu; Xuchu Liu; Mehmet Kocak; Shehbaz M. Ansari; Melih Akyuz; Jubril O. Adepoju; Seth Adler; Sharon Byrd

Review of deep learning and artificial intelligence models in fetal brain magnetic resonance imaging June 2023
World Journal of Clinical Cases
DOI: 10.12998/wjcc.v11.i16.3725
CONTRIBUTORS: Farzan Vahedifard; Jubril O Adepoju; Mark Supanich; Hua Asher Ai; Xuchu Liu; Mehmet Kocak; Kranthi K Marathu; Sharon E Byrd

EDUCATION

TSINGHUA UNIVERSITY

Beijing, China

Specialty: Computer Science and Technology

CHONGQING UNIVERSITY

Chongqing, China

Specialty: Radio Technology

EXPERIENCES

RUSH UNIVERSITY MEDICAL CENTER

Research Engineer | Jan 2021 - Jun 2024

Leveraging AI in Medical Imaging: Pioneering the application of artificial intelligence (AI) in MRI and fMRI medical image analysis across diverse projects:

  • Pons and Vermis Landmark Location: Implementing AI algorithms shortens the time radiologists spend performing anatomic measurements.
  • AI-powered Ventricle Measurement: Developing AI-driven methods to automatically measure lateral ventricle and accurately classify them as abnormal or normal.
  • Prediction of Gestational Age through AI: Utilizing AI to predict gestational age from fetal MRI or fMRI, advancing precision in prenatal care.
  • Fetal fMRI Segmentation: Using multiple AI models to automatically extract fetal brains from fMRI data and compare the accuracy of segmentation results.
  • MRI Classification with AI: Enhancing medical diagnosis through AI-powered MRI image classification.

NORTHWESTERN UNIVERSITY

Senior Research Technologist | May 2019 – Dec 2020

Technical Expertise for Neuroscience Research: Provided comprehensive software and hardware support for EEG and EMG research projects, encompassing:

  • Mobile Data Acquisition: Developed Android tablet applications and Bluetooth device protocols for real-time data collection.
  • Data Visualization and Storage: Designed systems for real-time data visualization and efficient data storage.
  • Arduino Data Acquisition: Implemented C programs on Arduino microcontrollers for accurate data acquisition.
  • Data Analysis and Reporting: Skilled in utilizing MATLAB for analysis and reporting of experimental data.