Center for Advanced Imaging Research (CAIR)

Wang Ze

Ze Wang, PhD

Professor with Tenure
Department of Diagnostic Radiology and Nuclear Medicine
Center for Advanced Imaging Research (CAIR)

Phone: 410-706-2797
Email: ze.wang at som.umaryland.edu

Biosketch

Dr. Wang joined University of Maryland Baltimore in 2019 and started the Imaging Computing Laboratory (ICL) in the Department of Diagnostic Radiology & Nuclear Medicine. He received his PhD from Shanghai Jiao Tong University in 2003. His major research interests are in MR imaging, neuroimaging signal processing, and imaging-based translational research in Alzheimer's disease and addiction. He has published over 128 journal papers in these research topics. Regarding MRI, he focuses on arterial spin labeling (ASL) perfusion MRI and image reconstruction. His ASL work includes a 3D background suppressed spiral readout ASL MRI sequence, a series of ASL MRI data processing methods, as well as the first open-source software package for processing ASL data: ASLtbx.

In MR reconstruction, he developed a multi-dimensional k-space based parallel imaging reconstruction algorithm: MCMLI for 2D and SNAPPI for 3D imaging and an optimized and super-fast dictionary searching algorithm: MRF-ZOOM for magnetic resonance fingerprinting, which can work without a pre-defined full dictionary. In neuroimaging, he developed an fMRI-based brain entropy mapping (BEN) tool and a multivariate lesion-symptom mapping algorithm (SVR-LSM). His recent interest in these areas includes incorporating deep machine learning in ASL data processing and image reconstruction. He has disseminated and is still maintaining three open source software packages: ASLtbx, SVR-LSM, and BENtbx.

Free Research Tools for Downloading >

Note that software updates are now released through https://github.com/zewangnew.

Complete Faculty Profile >


News, Research Projects, and Highlights

Sep 2023. Dr. Hangfan Liu was awarded the inaugural William H Gates Sr Fellowship by the AD Data Initiative.  https://www.alzheimersdata.org/fellows

Oct 2023. Dr. Wang was named as a Distinguished Investigator by the Academy for Radiology & Biomedical Imaging Research. The award will be presented in 2023 RSNA.  

Please select a title to learn more:

ASL MRI in Alzheimer's Disease Research

Deep learning in Arterial Spin Labeling Perfusion MRI

Brain entropy mapping using resting-state fMRI

Deep learning based CEST MRI

An inverse-U shaped brain entropy progression in the AD continuum

Sleep effects on brain connections and mental health

Lab Members 

Hangfan Liu, PhD (Assistant Professor)

Bo Li, PhD (Research Associate)

Lei Zhang, PhD (Research Associate)

Yiran Li, PhD (Assistant Professor)

Gianpaolo Del Mauro, PhD (Research Associate)

Aldo Camargo Fernandez-Baca, PhD (Postdoc)

Yinghua Fu, PhD (Postdoc)

Mr Lucas Lemos Franco

Mr. Jiaao Yu

Vincent Xinglin Zeng, PhD (Postdoc)

Lab Alumni (since 2019)

Muhammad Nadeem Cheema, PhD (Postdoc)

Sadiq Alishba, PhD (Postdoc)

Ms Rebecca Welsh

Tong Lu, PhD (now at Google)

Fan Nils Yang, PhD (now at NIH)

Jue Lu, PhD (Associate Professor at Shaoxin University)

Hanlu Yang

Liandong Lin, PhD (Associate Professor in Heilong Jiang University)

Danfeng Xie, PhD (now at Comcast)

Donghui Song (now a PhD student in Beijing Normal University)


Publications

Click here to view Dr. Wang's publications on Pubmed

or here on Google Scholar.

Please refer Dr. Wang's faculty profile for highlighted publications


Postdoc or junior faculty position

We are looking for self-motivated candidates who can do technique development in either of the two research directions. The first one will focus on deep learning based MR image reconstruction and image processing. Required skills and experience include: deep learning and MR image reconstruction. C++ programming experience will be preferred but not a necessary condition. The ideal candidate should have background in one or more of the following fields: image reconstruction, machine learning, MR physics, electrical engineering, computer science, or mathematics. This position will have intensive interactions with leading experts and will work with teams from University of Pennsylvania and Siemens. There is much chance to learn and grow.

The second direction will focus on image analysis including connectome analysis, classification and disease subtyping, and data harmonization. The ideal candidates should have method development experience in fMRI or neuroimaging signal processing. Background in electrical engineering, computer science, or mathematics is highly preferred. Python, Matlab programming skills are required. Experience on multi-band fMRI data processing is considered a plus.

Candidates are expected to have good communication skills and have good writing skills.

Please send your CV to  ze.wang@som.umaryland.edu.

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