World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
49
Citations
10773
World Ranking
5841
National Ranking
2652

Research.com Recognitions

  • 2019 - Fellow of the Indian National Academy of Engineering (INAE)
  • 2019 - SPIE Fellow

Overview

Baowei Fei is affiliated with The University of Texas at Dallas in the United States. Their research spans multiple fields, primarily focusing on Medicine and Engineering. They have made contributions in several subfields, including Plant Science, Radiology, Nuclear Medicine and Imaging, Polymers and Plastics, Building and Construction, and Biomedical Engineering.

The scientist's work addresses a variety of topics, with notable emphasis on:

  • Bamboo properties and applications
  • Natural Fiber Reinforced Composites
  • Radiomics and Machine Learning in Medical Imaging
  • Wood Treatment and Properties
  • Tree Root and Stability Studies
  • Advanced Neural Network Applications
  • Advanced Cellulose Research Studies

Recent publications authored or coauthored by Baowei Fei include:

  • Hyperspectral and multispectral imaging in digital and computational pathology: a systematic review [Invited], 2020, Biomedical Optics Express
  • Comprehensive review of surgical microscopes: technology development and medical applications, 2021, Journal of Biomedical Optics
  • Tumor detection of the thyroid and salivary glands using hyperspectral imaging and deep learning, 2020, Biomedical Optics Express
  • Sustainability and innovation of bamboo winding composite pipe products, 2021, Renewable and Sustainable Energy Reviews
  • MRI-Based Deep-Learning Method for Determining Glioma MGMT Promoter Methylation Status, 2021, American Journal of Neuroradiology

Baowei Fei frequently publishes in these venues:

  • Industrial Crops and Products (15 publications)
  • Journal of Biomedical Optics (11 publications)
  • Construction and Building Materials (6 publications)
  • Medical Physics (5 publications)
  • European Journal of Wood and Wood Products (5 publications)

The scientist often collaborates with the following coauthors:

  • Ananth J. Madhuranthakam (30 joint publications)
  • Changhua Fang (30 joint publications)
  • Xinxin Ma (24 joint publications)
  • Xiubiao Zhang (22 joint publications)
  • Joseph A. Maldjian (21 joint publications)

Throughout their career, Baowei Fei has received recognition including the following awards:

  • SPIE Fellow, 2019
  • Fellow of the Indian National Academy of Engineering (INAE), 2019

Best Publications

  • Medical hyperspectral imaging: a review

    Guolan Lu;Baowei Fei

  • Ultrasound Imaging Technologies for Breast Cancer Detection and Management: A Review

    Rongrong Guo;Guolan Lu;Binjie Qin;Baowei Fei

  • Binary tree of SVM: a new fast multiclass training and classification algorithm

    B. Fei;Jinbai Liu

  • Hyperspectral imaging and quantitative analysis for prostate cancer detection.

    Hamed Akbari;Luma V. Halig;David M. Schuster;Adeboye Osunkoya

  • Deep convolutional neural networks for classifying head and neck cancer using hyperspectral imaging

    Martin Halicek;Guolan Lu;James V. Little;Xu Wang

  • In-Vivo and Ex-Vivo Tissue Analysis through Hyperspectral Imaging Techniques: Revealing the Invisible Features of Cancer.

    Martin Halicek;Himar Fabelo;Himar Fabelo;Samuel Ortega;Gustavo M. Callico

  • Deep learning-based framework for In Vivo identification of glioblastoma tumor using hyperspectral images of human brain

    Himar Fabelo;Martin Halicek;Martin Halicek;Samuel Ortega;Maysam Shahedi

  • Superpixel-Based Segmentation for 3D Prostate MR Images

    Zhiqiang Tian;Lizhi Liu;Zhenfeng Zhang;Baowei Fei

  • Hyperspectral and multispectral imaging in digital and computational pathology: a systematic review [Invited]

    Samuel Ortega;Martin Halicek;Himar Fabelo;Gustavo M. Callico

  • A modified fuzzy C-means classification method using a multiscale diffusion filtering scheme.

    Hesheng Wang;Baowei Fei

  • A novel fully automated MRI-based deep-learning method for classification of IDH mutation status in brain gliomas.

    Chandan Ganesh Bangalore Yogananda;Bhavya R Shah;Maryam Vejdani-Jahromi;Sahil S Nalawade

  • Comprehensive review of surgical microscopes: technology development and medical applications.

    Ling Ma;Baowei Fei;Baowei Fei

  • Detection of Head and Neck Cancer in Surgical Specimens Using Quantitative Hyperspectral Imaging

    Guolan Lu;James V. Little;Xu Wang;Hongzheng Zhang

  • A Minimum Spanning Forest-Based Method for Noninvasive Cancer Detection With Hyperspectral Imaging

    Robert Pike;Guolan Lu;Dongsheng Wang;Zhuo Georgia Chen

  • Automatic MR volume registration and its evaluation for the pelvis and prostate.

    Baowei Fei;Andrew Wheaton;Zhenghong Lee;Zhenghong Lee;Jeffrey L. Duerk;Jeffrey L. Duerk

  • Slice-to-volume registration and its potential application to interventional MRI-guided radio-frequency thermal ablation of prostate cancer

    Baowei Fei;J.L. Duerk;D.T. Boll;J.S. Lewin

  • Label-free reflectance hyperspectral imaging for tumor margin assessment: a pilot study on surgical specimens of cancer patients.

    Baowei Fei;Guolan Lu;Xu Wang;Hongzheng Zhang

  • Spectral-spatial classification for noninvasive cancer detection using hyperspectral imaging.

    Guolan Lu;Luma V. Halig;Dongsheng Wang;Xulei Qin

  • Hyperspectral imaging in medical applications

    Baowei Fei;Baowei Fei

  • The safety issues of medical robotics

    Baowei Fei;Wan Sing Ng;Sunita Chauhan;Chee Keong Kwoh

  • Hyperspectral Imaging of Head and Neck Squamous Cell Carcinoma for Cancer Margin Detection in Surgical Specimens from 102 Patients Using Deep Learning

    Martin Halicek;James D. Dormer;James V. Little;Amy Y. Chen

  • PSNet: prostate segmentation on MRI based on a convolutional neural network

    Zhiqiang Tian;Lizhi Liu;Zhenfeng Zhang;Baowei Fei

Frequent Co-Authors

David L. Wilson
David L. Wilson Case Western Reserve University
Joseph A. Maldjian
Joseph A. Maldjian The University of Texas Southwestern Medical Center
Xiaodong Zhang
Xiaodong Zhang The Ohio State University
Nancy L. Oleinick
Nancy L. Oleinick Case Western Reserve University
Jasjit S. Suri
Jasjit S. Suri University of Idaho
Chee Keong Kwoh
Chee Keong Kwoh Nanyang Technological University
Aaron Fenster
Aaron Fenster University of Western Ontario
Lena Maier-Hein
Lena Maier-Hein German Cancer Research Center
Carlos S. Moreno
Carlos S. Moreno Emory University
Klaus H. Maier-Hein
Klaus H. Maier-Hein German Cancer Research Center

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