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Computer Science

D-Index
41
Citations
7047
World Ranking
8847
National Ranking
1140

Overview

Hongen Liao is affiliated with Tsinghua University in China and has contributed extensively to the fields of medicine, engineering, and computer science. Their research portfolio includes 171 publications in medicine, 132 in engineering, and 101 in computer science, reflecting a multidisciplinary approach.

The scientist's work focuses heavily on biomedical engineering, with 86 publications in this subfield. Other significant areas of study include radiology, nuclear medicine and imaging (64 publications), computer vision and pattern recognition (61 publications), surgery (40 publications), and artificial intelligence (21 publications).

Liao's main research topics cover a range of advanced applications and techniques such as soft robotics and their applications, surgical simulation and training, radiomics and machine learning in medical imaging, medical image segmentation techniques, augmented reality applications, advanced optical imaging technologies, and virtual reality applications and impacts.

Frequent coauthors of Hongen Liao include Longfei Ma, Fang Chen, Xinran Zhang, Guochen Ning, and Tianqi Huang, collaborating on numerous projects across their research disciplines.

The scientist has published regularly in several prominent venues such as:

  • IEEE Transactions on Biomedical Engineering
  • SID Symposium Digest of Technical Papers
  • International Journal of Computer Assisted Radiology and Surgery
  • arXiv (Cornell University)
  • IEEE Journal of Biomedical and Health Informatics

Among recent papers associated with their research interests are:

  • The Role of Imaging in the Detection and Management of COVID-19: A Review (2020), published in IEEE Reviews in Biomedical Engineering
  • Roadmap on 3D integral imaging: sensing, processing, and display (2020), published in Optics Express
  • Autonomic Robotic Ultrasound Imaging System Based on Reinforcement Learning (2021), published in IEEE Transactions on Biomedical Engineering
  • Single Volume Image Generator and Deep Learning-Based ASD Classification (2020), published in IEEE Journal of Biomedical and Health Informatics
  • Collagen crosslinking: effect on structure, mechanics and fibrosis progression (2021), published in Biomedical Materials

Best Publications

  • The Role of Imaging in the Detection and Management of COVID-19: A Review

    Di Dong;Zhenchao Tang;Shuo Wang;Hui Hui

  • Sequentially timed all-optical mapping photography (STAMP)

    Keiichi Nakagawa;Atsushi Iwasaki;Yu Oishi;Ryoichi Horisaki

  • Learning Two-View Correspondences and Geometry Using Order-Aware Network

    Jiahui Zhang;Dawei Sun;Zixin Luo;Anbang Yao

  • Augmented Reality Navigation With Automatic Marker-Free Image Registration Using 3-D Image Overlay for Dental Surgery

    Junchen Wang;Hideyuki Suenaga;Kazuto Hoshi;Liangjing Yang

  • 3-D Augmented Reality for MRI-Guided Surgery Using Integral Videography Autostereoscopic Image Overlay

    Hongen Liao;Takashi Inomata;Ichiro Sakuma;Takeyoshi Dohi

  • High-quality integral videography using a multiprojector.

    Hongen Liao;Makoto Iwahara;Nobuhiko Hata;Takeyoshi Dohi

  • Roadmap on 3D integral imaging: sensing, processing, and display.

    Bahram Javidi;Artur Carnicer;Jun Arai;Toshiaki Fujii

  • Medical Imaging and Augmented Reality

    Hongen Liao;P. J. "Eddie" Edwards;Xiaochuan Pan;Yong Fan

  • Worm-Like Soft Robot for Complicated Tubular Environments

    Boyu Zhang;Yingwei Fan;Penghui Yang;Tianle Cao

  • Augmented reality technology for preoperative planning and intraoperative navigation during hepatobiliary surgery: A review of current methods.

    Rui Tang;Long-Fei Ma;Zhi-Xia Rong;Mo Dan Li

  • Surgical navigation by autostereoscopic image overlay of integral videography

    Hongen Liao;N. Hata;S. Nakajima;M. Iwahara

  • Neuroimaging and Machine Learning for Dementia Diagnosis: Recent Advancements and Future Prospects

    Rishad Ahmed;Yuan Zhang;Zhiquan Feng;Benny Lo

  • Real-time computer-generated integral imaging and 3D image calibration for augmented reality surgical navigation

    Junchen Wang;Hideyuki Suenaga;Hongen Liao;Kazuto Hoshi

  • Augmented reality surgical navigation with ultrasound-assisted registration for pedicle screw placement: a pilot study

    Longfei Ma;Zhe Zhao;Fang Chen;Boyu Zhang

  • A Cascaded Deep Convolutional Neural Network for Joint Segmentation and Genotype Prediction of Brainstem Gliomas

    Jia Liu;Fang Chen;Changcun Pan;Mingyu Zhu

  • Efficient Semantic Scene Completion Network with Spatial Group Convolution

    Jiahui Zhang;Hao Zhao;Anbang Yao;Yurong Chen

  • Vision-based markerless registration using stereo vision and an augmented reality surgical navigation system: a pilot study

    Hideyuki Suenaga;Huy Hoang Tran;Hongen Liao;Hongen Liao;Ken Masamune

  • Aptamer-based colorimetric detection of proteins using a branched DNA cascade amplification strategy and unmodified gold nanoparticles

    Chia-Chen Chang;Chen-Yu Chen;Tsung-Liang Chuang;Tzu-Heng Wu

  • Augmented reality surgical navigation with accurate CBCT-patient registration for dental implant placement

    Longfei Ma;Weipeng Jiang;Boyu Zhang;Xiaofeng Qu

  • A Variational Method for Geometric Regularization of Vascular Segmentation in Medical Images

    A. Gooya;Hongen Liao;K. Matsumiya;K. Masamune

  • Real-time in situ three-dimensional integral videography and surgical navigation using augmented reality: a pilot study

    Hideyuki Suenaga;Huy Hoang Tran;Hongen Liao;Ken Masamune

Frequent Co-Authors

Takeyoshi Dohi
Takeyoshi Dohi Tokyo Denki University
Ken Masamune
Ken Masamune Tokyo Women's Medical University
Nobuhiko Hata
Nobuhiko Hata Brigham and Women's Hospital
Jianwen Luo
Jianwen Luo Tsinghua University
Mamoru Mitsuishi
Mamoru Mitsuishi University of Tokyo
Daoqiang Zhang
Daoqiang Zhang Nanjing University of Aeronautics and Astronautics
Long Quan
Long Quan Hong Kong University of Science and Technology
Omer T. Inan
Omer T. Inan Georgia Institute of Technology
Yefeng Zheng
Yefeng Zheng Tencent (China)
Tianmiao Wang
Tianmiao Wang Beihang University

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