Lei Zhang

Lei Zhang Email and Phone Number

Washington, DC, US
Lei Zhang's Location
Washington DC-Baltimore Area, United States, United States
About Lei Zhang

Lei Zhang, PhD, is a faculty member at the University of Maryland School of Medicine. He obtained his PhD in computer applied technology with postdoc training in radiology research. He had one year industry experience in Siemens Corporate Research where he worked as a research intern. His research interests include machine learning, computer vision, and medical image analysis. He currently worked on developing Arterial Spin Labeling MRI denoising and brain MRI motion correction methods using deep learning. During his postdoc training, he developed breast imaging analysis methods using deep learning, transfer learning, and weakly supervised learning. He also developed algorithms for cutting annotation cost using deep learning and active learning. He led a group of graduate students collecting road crack images and developed machine/deep learning methods for road crack detection. During his internship, he proposed a dictionary learning method for object tracking with application to catheter tracking in fluoroscopic images.

Lei Zhang's Current Company Details
University of Maryland School of Medicine

University Of Maryland School Of Medicine

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Research Associate
Washington, DC, US
Lei Zhang Work Experience Details
  • University Of Maryland School Of Medicine
    Research Associate
    University Of Maryland School Of Medicine
    Washington, Dc, Us
  • University Of Maryland School Of Medicine
    Research Associate
    University Of Maryland School Of Medicine Sep 2019 - Present
    21201, Md, Us
    1. Led junior team members to develop research prototypes for analyzing COVID-19 images.2. Developed skull stripping module for neuroimage analysis.3. Collaborated with doctors to develop a deep learning-based method for arterial spin labeling (ASL) perfusion MRI denoising (DLASL), achieved a potential 75% reduction of the original acquisition time, and improved sensitivity for detecting the Normal control vs Alzheimer’s Disease difference. 4. Proposed a two-stage and multiple-loss based MRI motion correction network (MC-Net) Participated with the clinical evaluation, worked with doctors to develop clinic metrics for evaluating denoising and the motion correction methods. 5. Enrolled in the Science Communication program at the University of Maryland to improve technique writing skills.6. Published 4 journals and 3 abstracts.
  • University Of Pittsburgh
    Postdoctoral Associate
    University Of Pittsburgh Sep 2017 - Sep 2019
    1. Led a junior team to develop a weakly supervised method for breast image classification.Developed deep-learning based whole breast segmentation and breast tumor segmentation methods. 2. Collaborated with radiologists to annotate breast images for evaluating classification and segmentation algorithms. 3. Supervised 2 graduate students.4. Published 3 journal papers, 4 conference papers, and 4 abstracts.
  • Arizona State University
    Postdoctoral Research Fellow
    Arizona State University Sep 2016 - Aug 2017
    Tempe, Az, Us
    1. Proposed a method for cutting annotation cost of biomedical image analysis by integrating active learning and transfer learning.2. Worked with clinicians to evaluate the proposed method on polyp detection, pulmonary embolism detection, and colonoscopy frame classification. The cost of annotation can be cut by at least half.3. Published 1 top conference (CVPR) paper and 2 abstracts.
  • Temple University
    Postdoctoral Research Fellow
    Temple University Jul 2015 - Sep 2016
    Philadelphia, Pennsylvania, Us
    1. Led a team of 3 undergraduate students to collect road crack data.2. Developed a deep learning-based method for crack detection by classifying crack or non-crack image patches with Caffe.3. Proposed the Feature Pyramid and Hierarchical Boosting Network (FPHBN) for image-to-image pavement crack detection.4. Contributed C++ code for feature extraction. Built SVM and Boosting classifiers for comparison using OpenCV. 5. Collaborated with a faculty member of civil engineering to evaluate the proposed methods. 6. Mentored 2 graduate students.7. Published 2 journals and 1 conference papers with a total over 1100 citations.
  • Harbin University
    Lecturer
    Harbin University Sep 2008 - Jul 2015
    Harbin, Cn
  • Vicog Intelligent Systems Co., Ltd
    Project Manager
    Vicog Intelligent Systems Co., Ltd Apr 2013 - Jan 2015
    Led a team to build real-time face tracking and recognition system.
  • Harbin Institute Of Technology
    Research Assistant
    Harbin Institute Of Technology Sep 2008 - Oct 2013
    Cn
    1. Led a team to build a GPU-based system for simulation of cardiac electrophysiological activity and illustration of 3D multi-modality (anatomical and electrophysiological) data. The system was a milestone work in the lab.2. Proposed and implemented a GPU-based cardiac electrophysiological simulation which was more than 20 times faster than the CPU version. 3. Proposed novel real time volume rendering method based on ray-casting with GPU acceleration. Wrote C++, OpenGL, and CUDA code.4. Supervised 3 graduate students. 5. Enrolled Peking University Visualization Summer School to learn cutting-edge visualization techniques.6. Published 4 journal papers and 4 conference papers.
  • Siemens Corporate Research
    Intern
    Siemens Corporate Research Sep 2011 - Aug 2012
    1. Proposed a semi-supervised appearance dictionary learning for object tracking with OpenCV and C++ implementation.2. Optimized an existing GPU-based detection method used in Siemens Corporation Research with about 10% speedup.3. Published 1 journal paper and 1 U.S. patent.
  • Harbin University
    Assistant Engineer
    Harbin University Jul 2003 - Jul 2008

Lei Zhang Skills

Matlab Research Arcgis Mathematical Modeling Statistics Data Analysis Transportation Engineering Transportation Planning Simulations Autocad C++ Java C Machine Learning Algorithms Data Mining Computer Science Linux C# Programming Image Processing Latex Python Optimization Signal Processing Pattern Recognition Computer Vision Software Engineering Artificial Intelligence Software Development Cuda Cg

Lei Zhang Education Details

  • Harbin Institute Of Technology
    Harbin Institute Of Technology
    Computer Science
  • Harbin Institute Of Technology
    Harbin Institute Of Technology
    Software Engineering
  • Harbin University Of Commerce
    Harbin University Of Commerce
    Computer Science And Technology

Frequently Asked Questions about Lei Zhang

What company does Lei Zhang work for?

Lei Zhang works for University Of Maryland School Of Medicine

What is Lei Zhang's role at the current company?

Lei Zhang's current role is Research Associate.

What is Lei Zhang's email address?

Lei Zhang's email address is cs****@****ail.com

What schools did Lei Zhang attend?

Lei Zhang attended Harbin Institute Of Technology, Harbin Institute Of Technology, Harbin University Of Commerce.

What are some of Lei Zhang's interests?

Lei Zhang has interest in Soccer, Calligraphy.

What skills is Lei Zhang known for?

Lei Zhang has skills like Matlab, Research, Arcgis, Mathematical Modeling, Statistics, Data Analysis, Transportation Engineering, Transportation Planning, Simulations, Autocad, C++, Java.

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