Zeyang Zhou | Biomedical Engineering | Innovative Research Award

Dr. Zeyang Zhou | Biomedical Engineering | Innovative Research Award

Assistant Researcher at Tianjin University, China

Dr. Zeyang Zhou is a rising scholar in the field of intelligent surgical technologies, currently serving as an Assistant Researcher at the School of Mechanical Engineering, Tianjin University, China. His work bridges advanced engineering with clinical applications, focusing on developing smart surgical navigation systems, mixed reality (MR)/virtual reality (VR)-aided precision surgery, and intelligent medical image processing. With numerous high-quality publications in international journals, Dr. Zhou has made impactful contributions to neurosurgery, brachytherapy, and interventional procedure planning through innovative imaging and modeling techniques.

Publication Profileย 

Scopus

Educational Background ๐ŸŽ“

  • Ph.D. in Mechanical Engineering
    Tianjin University (2023 โ€“ Present)
    With Visiting Research Experience at University of Cambridge, UK

  • M.S. in Mechanical Engineering
    Tianjin University (2017 โ€“ 2019)

  • B.S. in Mechanical Engineering
    Tianjin University (2013 โ€“ 2017)

Professional Experience ๐Ÿ’ผ

  • Assistant Researcher
    School of Mechanical Engineering, Tianjin University
    July 2023 โ€“ Present

  • Postdoctoral Research Fellow
    School of Mechanical Engineering, Tianjin University
    July 2023 โ€“ Present (Note: The dates overlap; this may indicate a dual appointment or transition)

Research Interests ๐Ÿ”ฌ

  • Surgical navigation systems

  • Mixed reality (MR) and virtual reality (VR) in precision and minimally invasive surgery

  • Medical robotics, especially for minimally invasive procedures

  • Intelligent medical image processing and modeling

  • Machine learning applications in surgical planning and guidance

  • Real-time motion modeling in clinical environments

Selected Contributions and Highlights

  • Developed and validated multiple MR-based surgical navigation systems for glioma resection, intracerebral hemorrhage, and brachytherapy.

  • Proposed novel stereo registration methods and machine learning models for respiratory motion compensation and needle insertion planning.

  • Published in reputable journals such as Medical Physics, Computers in Biology and Medicine, Virtual Reality, and Journal of Digital Imaging.

  • Pioneered VR-based surgical simulation systems and compared different immersive environments (e.g., zSpace vs. Vive).

  • Co-authored more than 11 peer-reviewed international publications from 2021 to 2024, reflecting a strong research trajectory.

Conclusion๐ŸŒŸ

Dr. Zeyang Zhou exemplifies an innovative and interdisciplinary researcher at the forefront of surgical engineering. His work in merging real-time imaging, machine learning, and immersive technologies is reshaping precision medicine and intelligent surgery. With a robust academic foundation, growing international collaborations, and a compelling record of publications, Dr. Zhou is well-positioned for continued academic and translational success. Further recognition through national or international awards would be both merited and strategically valuable to support the expansion of his research impact.

Publications ๐Ÿ“š

  • ๐Ÿง  Brain Tumor Resection Segmentation
    Li Y., Jiang S., Yang Z., Wang L., Liu Z., Zhou Z.
    โžค Segmentation of Brain Tumor Resections in Intraoperative 3D Ultrasound Images Using a Semi-supervised Cross nnSU-Net
    ๐Ÿ“˜ International Journal of Imaging Systems and Technology, 2024


  • ๐Ÿ’‰ Needle Insertion Deflection Modeling
    Jiang S., Gao Y., Yang Z., Li Y., Zhou Z.
    โžค Prediction of Needle Insertion Deflection in Soft Tissue Based on Cutting Force
    ๐Ÿ“˜ Computer Methods in Biomechanics and Biomedical Engineering, 2024
    ๐Ÿ”— DOI: 10.1080/10255842.2024.2386326


  • ๐Ÿซ Respiratory Motion Modeling via Neural Network
    Jiang S., Li B., Yang Z., Li Y., Zhou Z.
    โžค A Back Propagation Neural Network-Based Respiratory Motion Modelling Method
    ๐Ÿ“˜ International Journal of Medical Robotics and Computer Assisted Surgery, 2024, 20(3): e2647


  • ๐Ÿค– High-Dimensional Motion Modeling
    Zhou Z., Jiang S., Yang Z., Zhou N., Ma S., Li Y.
    โžค Machine Learning-Based High-Dimensional Respiratory Motion Modeling
    ๐Ÿ“˜ Expert Systems with Applications, 2024, 242: 122757


  • ๐ŸŽฎ VR Simulation for Needle Insertion
    Zhou Z., Yang Z., Jiang S., Jiang B., Xu B., Zhu T., Ma S.
    โžค Personalized VR Training System for Percutaneous Needle Insertion: zSpace vs. Vive
    ๐Ÿ“˜ Computers in Biology and Medicine, 2022, 146: 105585


  • ๐Ÿง  AR for Glioma Resection
    Zhou Z., Yang Z., Jiang S., Zhuo J., Zhu T., Ma S.
    โžค Augmented Reality Surgical Navigation System with Spatial Drift Compensation
    ๐Ÿ“˜ Medical Physics, 2022, 49(6): 3963โ€“3979


  • ๐Ÿงฉ Mixed Reality in Hemorrhage Surgery
    Zhou Z., Yang Z., Jiang S., Zhuo J., Li Y., Zhu T.
    โžค Validation of MR-based Navigation System for Hypertensive Intracerebral Hemorrhage
    ๐Ÿ“˜ Virtual Reality, 2023, 27(3): 2059โ€“2071


  • ๐Ÿงฌ Multimodal Image Navigation
    Zhou Z., Yang Z., Jiang S., Zhuo J., Zhu T., Ma S., Li Y.
    โžค Navigation System for Neurosurgery Based on Mixed Reality
    ๐Ÿ“˜ Visual Informatics, 2023, 7(2): 64โ€“71


  • ๐Ÿง  MR Surgical Navigation for Hemorrhage
    Zhou Z., Yang Z., Jiang S., Zhuo J., Zhu T., Ma S.
    โžค Surgical Navigation for Intracerebral Hemorrhage Using Mixed Reality
    ๐Ÿ“˜ Journal of Digital Imaging, 2022, 35(6): 1530โ€“1543


  • ๐ŸŽฏ Brachytherapy Planning with DVH
    Zhou Z., Yang Z., Jiang S., Yu X., Qi E., Li Y., Zhu T.
    โžค DVH-Based Inverse Planning for LDR Pancreatic Brachytherapy
    ๐Ÿ“˜ International Journal of Computer Assisted Radiology and Surgery (IJCARS), 2022, 17(3): 609โ€“615


  • ๐Ÿ“ Stereo Registration in Brachytherapy
    Zhou Z., Jiang S., Yang Z., Xu B., Jiang B.
    โžค Mixed Reality Surgical Navigation Using Novel Stereo Registration for Brachytherapy
    ๐Ÿ“˜ Virtual Reality, 2021, 25(4): 975โ€“984


 

 

 

 

Lin Zhu | Image Technology | Best Researcher Award

Ms. Lin Zhu | Image Technology | Best Researcher Award

Shanghai Chest Hospital, China

Dr. Lin Zhu is a postdoctoral researcher and attending doctor at the Radiology Department of Shanghai Chest Hospital, Shanghai Jiaotong University. Her research is centered on radiology and oncology, with a particular emphasis on tumorigenicity, advanced imaging technologies, AI-assisted diagnostic imaging, quantitative image analysis, and molecular nanoimaging in the context of tumor microenvironments. She has published 9 first-author SCI papers and has served as principal investigator (PI) on four funded research projects.

Publication Profileย 

Orcid

Educational Background ๐ŸŽ“

  • Doctor of Medicine (Diagnostic and Interventional Radiology)
    Heidelberg University Clinic, Heidelberg University, Germany
    Sept. 2018 โ€“ Feb. 2022
    Supervisors: Prof. Dr. Mark O. Wielpรผtz MHBA and Prof. Hans-Ulrich Kauczor

  • Master of Medicine (Medical Imaging and Nuclear Medicine)
    Shanghai Changzheng Hospital, The Second Military Medical University, Shanghai, China
    Sept. 2013 โ€“ June 2016
    Supervisor: Prof. Dr. Hong Yu

  • Bachelor of Medicine (Medical Imaging)
    School of Medicine, Southeast University, China
    Sept. 2007 โ€“ June 2012

Professional Experience ๐Ÿ’ผ

  • Postdoctoral Researcher
    Shanghai Chest Hospital, Shanghai Jiaotong University, China
    Feb. 2022 โ€“ Present

  • Training Radiologist
    Shanghai Changzheng Hospital, Second Military Medical University, China
    Aug. 2016 โ€“ July 2018

  • Training Radiologist
    The Fifth Peopleโ€™s Hospital of Shanghai, Fudan University, China
    July 2012 โ€“ July 2013

  • Clinical Practice (Internship)
    Zhongda Hospital, Southeast University, China
    June 2011 โ€“ June 2012

Research Interests ๐Ÿ”ฌ

  • Tumorigenicity and tumor microenvironment

  • Advanced and AI-assisted imaging techniques

  • Quantitative imaging analysis

  • Molecular nanoimaging for cancer diagnostics

  • Multimodal radiological imaging for lung cancer and lymphoma

  • Imaging biomarkers in oncology

Awards and Honors๐Ÿ†โœจ

While specific named awards are not listed, notable professional achievements include:

  • Published 9 SCI-indexed papers as first author

  • Principal Investigator of 4 research projects

  • Speaker at major international conferences, including:

    • European Congress of Radiology (ECR) 2018 & 2020

    • Chinese Congress of Radiology (CCR) 2016 & 2022

Conclusion๐ŸŒŸ

Dr. Lin Zhu exemplifies a dynamic and highly accomplished medical imaging expert with extensive international research and clinical experience. Her multidisciplinary approach, combining diagnostic radiology with molecular imaging and artificial intelligence, positions her as a leading researcher in the field of thoracic oncology imaging. Her work bridges foundational biological research with state-of-the-art diagnostic practices, contributing meaningfully to advancements in precision medicine and personalized cancer care.

Publications ๐Ÿ“š

  1. ๐Ÿญ ยตCT in Muco-obstructive Lung Disease
    Zhu L., et al.
    American Journal of Physiology – Lung Cellular and Molecular Physiology, 2022, 322(3):L401โ€“L411.
    ๐Ÿ”ฌ Topic: Neutrophil elastase in mouse lung disease


  2. ๐Ÿซ MRI vs. CT for Lung Nodule Detection in COPD
    Li Q, Zhu L, et al.
    Radiology: Cardiothoracic Imaging, 2023, 5(2):e220176.
    ๐Ÿง  Topic: MRI as a diagnostic tool compared to CT


  3. ๐Ÿงฌ miR-629 & Lung Cancer Tumorigenesis
    Zhu L, et al.
    Cancer Biomarkers, 2020.
    ๐Ÿงช Topic: PI3K/AKT pathway & FOXO1 targeting


  4. ๐Ÿฆ  Primary Pulmonary Lymphoepithelial Carcinoma
    Nie K, Zhu L, et al.
    Journal of Surgical Oncology, 2023.
    ๐Ÿฉบ Topic: Rare lung cancer subtype prognosis


  5. ๐Ÿงซ RasGRP4 in Lymphoma Growth
    Zhu L, et al.
    Cell Communication and Signaling, 2019, 17(1), 92.
    ๐Ÿ”ฌ Topic: Oncogene role in B-cell lymphoma


  6. ๐Ÿงฌ miR-101 and Pancreatic Cancer Suppression
    Zhu L, et al.
    Cancer Biomarkers, 2018, 23(2):301โ€“309.
    ๐Ÿง  Topic: STMN1 targeting to suppress proliferation


  7. ๐Ÿฉป Ultrasound/CT + CA125 for Ovarian Tumors
    Zhu L, et al.
    Minerva Medica, 2018, 109(6):489โ€“491.
    ๐Ÿงช Topic: Combined diagnostic method


  8. ๐Ÿ“Š TIMP-2 Expression in Lung Cancer
    Zhu L, et al.
    PLOS ONE, 2015, 10(4):e0124230.
    ๐Ÿ” Topic: Meta-analysis on tumor prognosis


  9. ๐Ÿ”ฌ PET/CT in Small Cell Lung Cancer
    Nie K, Zhu L, et al.
    J Med Imaging Radiat Oncol, 2019, 63(1):84โ€“93


  10. ๐Ÿ’‰ Serum Angiopoietin-Like Protein 2 as Biomarker
    Chen Y, Zhu L, et al.
    Clin Lab, 2017, 63(1):59โ€“65


  11. ๐Ÿง  CT Phenotyping in Pulmonary Lymphoma
    Chen Y, Zhu L, et al.
    J Thorac Dis, 2018, 10(11):6040โ€“6049


  12. ๐Ÿญ ยตCT Monitoring of Neutrophil Elastase Deficiency
    Zhu L, et al.
    ECR 2020 โ€“ Book of Abstracts, Insights Imaging, 2020, 11(Suppl 1):34


  13. ๐Ÿง  Lung Cancer Imaging & Treatment Methods
    Zhu L, et al.
    Int. J. Med. Radiology, 2018, 41(06):641โ€“645


  14. ๐Ÿงฌ String Beads Sign in Small Cell Lung Cancer
    Xiao YX, Zhu L, et al.
    Journal of Practical Radiology, 2016
    ๐Ÿง  DOI: 10.3969/j.issn.1002-1671.2016.01.001


  15. ๐Ÿซ CT Signs of Peripheral Small Cell Lung Cancer
    Xiao YX, Zhu L, et al.
    Journal of Practical Radiology, 2016
    ๐Ÿฉป DOI: 10.3969/j.issn.1002-1671.2016.01.001