Lin Zhu | Image Technology | Best Researcher Award

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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 Profile 

Orcid

Educational Background 🎓

  • Doctor of Medicine (Diagnostic and Interventional Radiology)
    Heidelberg University Clinic, Heidelberg University, Germany
    Sept. 2018 – Feb. 2022
    Supervisors: Prof. Dr. Mark O. Wielpütz 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 – June 2016
    Supervisor: Prof. Dr. Hong Yu

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

Professional Experience 💼

  • Postdoctoral Researcher
    Shanghai Chest Hospital, Shanghai Jiaotong University, China
    Feb. 2022 – Present

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

  • Training Radiologist
    The Fifth People’s Hospital of Shanghai, Fudan University, China
    July 2012 – July 2013

  • Clinical Practice (Internship)
    Zhongda Hospital, Southeast University, China
    June 2011 – June 2012

Research Interests 🔬

  • 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 Honors🏆✨

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

Conclusion🌟

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 📚

  1. 🐭 µCT in Muco-obstructive Lung Disease
    Zhu L., et al.
    American Journal of Physiology – Lung Cellular and Molecular Physiology, 2022, 322(3):L401–L411.
    🔬 Topic: Neutrophil elastase in mouse lung disease

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

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

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

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

  6. 🧬 miR-101 and Pancreatic Cancer Suppression
    Zhu L, et al.
    Cancer Biomarkers, 2018, 23(2):301–309.
    🧠 Topic: STMN1 targeting to suppress proliferation

  7. 🩻 Ultrasound/CT + CA125 for Ovarian Tumors
    Zhu L, et al.
    Minerva Medica, 2018, 109(6):489–491.
    🧪 Topic: Combined diagnostic method

  8. 📊 TIMP-2 Expression in Lung Cancer
    Zhu L, et al.
    PLOS ONE, 2015, 10(4):e0124230.
    🔍 Topic: Meta-analysis on tumor prognosis

  9. 🔬 PET/CT in Small Cell Lung Cancer
    Nie K, Zhu L, et al.
    J Med Imaging Radiat Oncol, 2019, 63(1):84–93

  10. 💉 Serum Angiopoietin-Like Protein 2 as Biomarker
    Chen Y, Zhu L, et al.
    Clin Lab, 2017, 63(1):59–65

  11. 🧠 CT Phenotyping in Pulmonary Lymphoma
    Chen Y, Zhu L, et al.
    J Thorac Dis, 2018, 10(11):6040–6049

  12. 🐭 µCT Monitoring of Neutrophil Elastase Deficiency
    Zhu L, et al.
    ECR 2020 – Book of Abstracts, Insights Imaging, 2020, 11(Suppl 1):34

  13. 🧠 Lung Cancer Imaging & Treatment Methods
    Zhu L, et al.
    Int. J. Med. Radiology, 2018, 41(06):641–645

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

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

Chitra P | Image Processing | Best Researcher Award

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Dr. Chitra P | Image Processing | Best Researcher Award

Professor at Sathyabama Institute of Science and Technology, India

Dr. P. Chitra is an accomplished academic and researcher with a Ph.D. in Applied Electronics from Sathyabama University (2014) and a Master’s in Applied Electronics (M.E.) from Coimbatore Institute of Technology (2004). She has been serving as an Assistant Professor in Sathyabama University, Chennai, since 2004. Her research interests span across image processing, signal processing, communication systems, and electronic circuit analysis. She has secured multiple sponsored projects, including collaborations with the Indira Gandhi Centre for Atomic Research and the Department of Biotechnology. Dr. Chitra has contributed significantly to the field with numerous publications in both international journals and conferences, with notable works in deep learning for medical diagnostics, radiographic image processing, and PCOS detection using AI. Apart from her academic duties, she is a life member of the Indian Society for Technical Education (MISTE) and Institution of Engineers (IEI), and actively participates as a reviewer for various journals. Her dedication to advancing technology is reflected in her extensive training, certifications, and contributions to AI and machine learning. 🌐📚🔬

Publication Profile : 

Scopus

Google Scholar

Educational Background 🎓

  • Ph.D. in Electronics and Communication Engineering (2014), Sathyabama University, Chennai
  • M.E. in Applied Electronics (2004), Coimbatore Institute of Technology, Coimbatore (CGPA: 8.16)
  • B.E. in Electronics and Communication Engineering (2002), Nooral Islam College of Engineering, Kumaracoil, Nagercoil (73.55%)
  • H.S.C. (1998), Duthie Girls Higher Secondary School, Nagercoil (85.58%)
  • S.S.L.C. (1996), Duthie Girls Higher Secondary School, Nagercoil (87.00%)

Professional Experience 💼

Dr. P. Chitra has been an Assistant Professor at Sathyabama University since June 2004. With a career spanning over two decades, she has a rich academic experience in teaching and research, specializing in image processing, signal processing, and communication systems. She has been actively involved in various sponsored projects, including collaborations with Indira Gandhi Centre for Atomic Research and the Department of Biotechnology. She has led and contributed to multiple funded projects, including the development of digitization protocols for weld images and the application of AI for detecting PCOS (Polycystic Ovary Syndrome). Her expertise also extends to deep learning and AI-based algorithms in medical imaging and diagnostics.

Research Interests 🔬

Dr. Chitra’s research primarily focuses on image processing, signal processing, communication systems, and electronic circuit analysis. She is particularly passionate about applying AI and deep learning techniques for medical image analysis and diagnostic applications. Her ongoing research explores areas such as PCOS detection, brain tumor detection, and lung cancer classification, leveraging AI for better healthcare solutions.

Certifications & Achievements🎓

Dr. Chitra is a proud recipient of numerous NPTEL certifications, including courses in Deep Learning, Data Science for Engineers, and Introduction to AI. She is also a Life Member of Indian Society for Technical Education (ISTE) and the Institution of Engineers (IEI).

Publications 📚

  • Chitra P., Beryl Vedha Y. Johnson, Retnaraj Samuel S., et al. (2024), “Classification of Microglial Cells using Deep Learning Techniques”, Proceedings – 2nd International Conference on Advancement in Computation and Computer Technologies, InCACCT 2024
  • Sheeba I.R., Jegan G., Jayasudha F.V., Chitra P., et al. (2024), “Brain Tumor Detection- ISM Band SAR Reduction Analysis Using Microstrip Patch Antenna”, Proceedings of the 2024 10th International Conference on Communication and Signal Processing, ICCSP 2024
  • Chitra P., Srilatha K., Sumathi M., et al. (2023), “Automated Detection of Polycystic Ovaries using Pretrained Deep Learning Models”, AICERA/ICIS 2023
  • Chitra P., Srilatha K., Jayasudha F.V., et al. (2023), “Lung Cancer Detection Using Classification Algorithm”, RAEEUCCI 2023
  • Amudha S., Shobana J., Satheesh Kumar M., Chitra P. (2022), “Modelling Air Pollution and Traffic Congestion Problem Through Mobile Application”, IconDeepCom 2022
  • Chitra P., Sheela Rani B., Venkataraman B., et al. (2011), “Comparison of Image Enhancement Techniques for Radiographic Weld Images”, Instrumentation Society Of India
  • Chitra P., Sheela Rani B., Venkataraman B., et al. (2011), “Evaluation of Signal To Noise in Different Radiographic Methods and Standard Digitizer”, Indian Journal of Computer Science and Engineering
  • Chitra P., Sheela Rani B., Manoharan N., et al. (2007), “A Comparative Study on the Digitization Parameters of Radiographic Weld Image Digitizers for Weld Defect Detection”, ECHDEM 2007, Chennai
  • Chitra P., Arulmozhi N., Sheela Rani B., et al. (2008), “Evaluation of Radiographic Image Quality through Standard Weld Image Digitizers”, ESSTA 2008
  • Chitra P., Sheela Rani B. (2012), “Study and Analysis on the Effect of Source to Film Distance on the Radiographic Image”, ICCCT 2012
  • Chitra P., Arulmozhi N., et al. (2009), “SNR Based Evaluation of Radiographic Weld Image Using Selenium 75, Ir-192, and X-rays”, National Seminar and Exhibition on NDE
  • Chitra P., Sheela Rani B., et al. (2011), “Extraction of Radiographic Weld Defects Using Pixel Based Segmentation”, NCICM 2011