World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
44
Citations
8012
World Ranking
5785
National Ranking
1111

Overview

Jianwen Luo is affiliated with Tsinghua University in China and has produced a substantial body of work primarily in the fields of engineering and medicine, with a focus on biomedical engineering and radiology, nuclear medicine, and imaging. Their research spans several subfields, including the mechanics of materials, pulmonary and respiratory medicine, and critical care and intensive care medicine.

Their research topics are diverse, covering multiple aspects of imaging and diagnostic technologies. Key topics include:

  • Photoacoustic and Ultrasonic Imaging
  • Ultrasound Imaging and Elastography
  • Ultrasonics and Acoustic Wave Propagation
  • Ultrasound and Hyperthermia Applications
  • Thermography and Photoacoustic Techniques
  • Microwave Imaging and Scattering Analysis
  • Optical Imaging and Spectroscopy Techniques

Jianwen Luo has frequently collaborated with several co-authors, including Qiong He, Lijie Huang, Xingyue Wei, Samer Narouze, and J. Brian Fowlkes. These collaborations have contributed to refining and advancing research within their fields of interest.

Their recent publications reflect a focus on advancements in imaging technology and applications, with papers addressing various technical challenges and innovations. Recent papers include:

  • "Influence of COVID-19 on Manufacturing Industry and Corresponding Countermeasures from Supply Chain Perspective," 2020, Journal of Shanghai Jiaotong University (Science)
  • "Reconstructing Undersampled Photoacoustic Microscopy Images Using Deep Learning," 2020, IEEE Transactions on Medical Imaging
  • "Deep Learning for Ultrasound Localization Microscopy," 2020, IEEE Transactions on Medical Imaging
  • "Ultrasound image reconstruction from plane wave radio-frequency data by self-supervised deep neural network," 2021, Medical Image Analysis
  • "Deep image prior for undersampling high-speed photoacoustic microscopy," 2021, Photoacoustics

Publications by Jianwen Luo are often found in specialized venues highly focused on ultrasound and medical imaging technologies. Frequent publication venues include:

  • IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control
  • Journal of Ultrasound in Medicine
  • arXiv (Cornell University)
  • 2022 IEEE International Ultrasonics Symposium (IUS)
  • IEEE Transactions on Medical Imaging

Best Publications

  • Savitzky-Golay smoothing and differentiation filter for even number data

    Jianwen Luo;Kui Ying;Jing Bai

  • A fast normalized cross-correlation calculation method for motion estimation

    Jianwen Luo;Elisa E Konofagou

  • Properties of Savitzky--Golay digital differentiators

    Jianwen Luo;Kui Ying;Ping He;Jing Bai

  • Arterial stiffness identification of the human carotid artery using the stress-strain relationship in vivo.

    T. Khamdaeng;J. Luo;J. Vappou;P. Terdtoon

  • Deep Unfolded Robust PCA With Application to Clutter Suppression in Ultrasound

    Oren Solomon;Regev Cohen;Yi Zhang;Yi Yang

  • Pulse wave imaging for noninvasive and quantitative measurement of arterial stiffness in vivo.

    Jonathan Vappou;Jianwen Luo;Elisa E. Konofagou

  • Axial strain calculation using a low-pass digital differentiator in ultrasound elastography

    Jianwen Luo;Jing Bai;Ping He;Kui Ying

  • Pulse Wave Imaging of Normal and Aneurysmal Abdominal Aortas In Vivo

    Jianwen Luo;K. Fujikura;L.S. Tyrie;M.D. Tilson

  • Nanohybrid liposomal cerasomes with good physiological stability and rapid temperature responsiveness for high intensity focused ultrasound triggered local chemotherapy of cancer.

    Xiaolong Liang;Jing Gao;Lingdong Jiang;Jianwen Luo

  • Pulse wave imaging of the human carotid artery: an in vivo feasibility study

    Jianwen Luo;R. X. Li;E. E. Konofagou

  • Biomimetic perfusion and electrical stimulation applied in concert improved the assembly of engineered cardiac tissue

    Robert Maidhof;Nina Tandon;Eun Jung Lee;Jianwen Luo

  • Reconstructing Undersampled Photoacoustic Microscopy Images Using Deep Learning

    Anthony DiSpirito;Daiwei Li;Tri Vu;Maomao Chen

  • Accurate detection of atrial fibrillation from 12-lead ECG using deep neural network

    Wenjuan Cai;Yundai Chen;Jun Guo;Baoshi Han

  • End-to-end deep neural network for optical inversion in quantitative photoacoustic imaging.

    Chuangjian Cai;Kexin Deng;Cheng Ma;Jianwen Luo

  • Deep Learning for Ultrasound Localization Microscopy

    Xin Liu;Tianyang Zhou;Mengyang Lu;Yi Yang

  • A novel noninvasive technique for pulse-wave imaging and characterization of clinically-significant vascular mechanical properties in vivo.

    Kana Fujikura;Jianwen Luo;Viktor Gamarnik;Mathieu Pernot

  • A composite high-frame-rate system for clinical cardiovascular imaging

    Shougang Wang;Wei-ning Lee;J. Provost;Jianwen Luo

  • Myocardial elastography at both high temporal and spatial resolution for the detection of infarcts.

    Jianwen Luo;Kana Fujikura;Shunichi Homma;Elisa E. Konofagou

  • The effect of controlled expression of VEGF by transduced myoblasts in a cardiac patch on vascularization in a mouse model of myocardial infarction

    Anna Marsano;Robert Maidhof;Jianwen Luo;Kana Fujikara

  • Tumor-homing, pH- and ultrasound-responsive polypeptide-doxorubicin nanoconjugates overcome doxorubicin resistance in cancer therapy.

    Zhuoran Wang;Qiong He;Wenguo Zhao;Jianwen Luo

  • High-frame rate, full-view myocardial elastography with automated contour tracking in murine left ventricles in vivo

    Jianwen Luo;E.E. Konofagou

Frequent Co-Authors

Elisa E. Konofagou
Elisa E. Konofagou Columbia University
Jing Liu
Jing Liu Chinese Academy of Sciences
Chun Yuan
Chun Yuan University of Utah
Hongen Liao
Hongen Liao Tsinghua University
Heye Zhang
Heye Zhang Sun Yat-sen University
Mathieu Pernot
Mathieu Pernot Inserm : Institut national de la santé et de la recherche médicale
Piero Tortoli
Piero Tortoli University of Florence
Lin Zhang
Lin Zhang Tianjin University
Yonina C. Eldar
Yonina C. Eldar Weizmann Institute of Science
Shunichi Homma
Shunichi Homma Columbia University

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