World's Best Scientists 2026 revealed!

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Computer Science

D-Index
44
Citations
7970
World Ranking
7584
National Ranking
996

Overview

Guoyan Zheng is affiliated with Shanghai Jiao Tong University in China. Their research spans multiple fields, including Medicine, Computer Science, and Engineering, with a substantial focus on applications involving medical imaging and analysis.

The scientist's main areas of study are supported by subfields such as Computer Vision and Pattern Recognition, Surgery, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, and Artificial Intelligence. These disciplines reflect an interdisciplinary approach bridging clinical applications with advanced computational methods.

Guoyan Zheng's work explores various research topics including Medical Imaging and Analysis, Surgical Simulation and Training, Hip Disorders and Treatments, Advanced Neural Network Applications, Medical Image Segmentation Techniques, Domain Adaptation and Few-Shot Learning, and Radiomics and Machine Learning in Medical Imaging.

Recent notable publications include:

  • Spine-transformers: Vertebra labeling and segmentation in arbitrary field-of-view spine CTs via 3D transformers, 2021, Medical Image Analysis
  • CholecTriplet2021: A benchmark challenge for surgical action triplet recognition, 2023, Medical Image Analysis
  • CyCMIS: Cycle-consistent Cross-domain Medical Image Segmentation via diverse image augmentation, 2021, Medical Image Analysis
  • MRI-based 3D models of the hip joint enables radiation-free computer-assisted planning of periacetabular osteotomy for treatment of hip dysplasia using deep learning for automatic segmentation, 2020, European Journal of Radiology Open
  • Evaluation of an intensity-based algorithm for 2D/3D registration of natural knee videofluoroscopy data, 2020, Medical Engineering & Physics

Frequent co-authors collaborating with Guoyan Zheng include Xiaoyang Zou, Rong Tao, Moritz Tannast, Runze Wang, and Wenyuan Sun. This group reflects ongoing partnerships that contribute to the interdisciplinary nature of Zheng's studies.

Publishing venues commonly associated with Guoyan Zheng's work comprise arXiv (Cornell University), International Journal of Computer Assisted Radiology and Surgery, Medical Image Analysis, Sensors, and Computerized Medical Imaging and Graphics. These venues highlight a balance between preprints, specialized journals, and engineering-focused platforms.

Guoyan Zheng has also contributed to the publication of at least one academic book titled Computational Methods and Clinical Applications for Spine Imaging, published by Springer Science+Business Media in 2020.

Best Publications

  • Why rankings of biomedical image analysis competitions should be interpreted with care

    Lena Maier-Hein;Matthias Eisenmann;Annika Reinke;Sinan Onogur

  • Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge

    Xiahai Zhuang;Lei Li;Christian Payer;Darko Stern

  • Crowd Counting with Deep Negative Correlation Learning

    Zenglin Shi;Le Zhang;Yun Liu;Xiaofeng Cao

  • Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge

    Hugo J. Kuijf;Adria Casamitjana;D. Louis Collins;Mahsa Dadar

  • Evaluation and Comparison of Anatomical Landmark Detection Methods for Cephalometric X-Ray Images: A Grand Challenge

    Ching-Wei Wang;Cheng-Ta Huang;Meng-Che Hsieh;Chung-Hsing Li

  • Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge

    Li Wang;Dong Nie;Guannan Li;Elodie Puybareau

  • A 2D/3D correspondence building method for reconstruction of a patient-specific 3D bone surface model using point distribution models and calibrated X-ray images.

    Guoyan Zheng;Sebastian Gollmer;Steffen Schumann;Xiao Dong

  • Method for establishing a three-dimensional representation of a bone from image data

    Guoyan Zheng;Lutz-Peter Nolte

  • Statistical deformable bone models for robust 3D surface extrapolation from sparse data

    Kumar T. Rajamani;Martin Andreas Styner;Haydar Talib;Guoyan Zheng

  • 3D multi-scale FCN with random modality voxel dropout learning for Intervertebral Disc Localization and Segmentation from Multi-modality MR Images.

    Xiaomeng Li;Qi Dou;Hao Chen;Chi Wing Fu

  • Computer-Assisted Orthopedic Surgery: Current State and Future Perspective.

    Guoyan Zheng;Lutz-Peter Nolte

  • Fully Automatic Localization and Segmentation of 3D Vertebral Bodies from CT/MR Images via a Learning-Based Method.

    Chengwen Chu;Daniel L. Belavý;Daniel L. Belavý;Gabriele Armbrecht;Martin Bansmann

  • 3D U-net with Multi-level Deep Supervision: Fully Automatic Segmentation of Proximal Femur in 3D MR Images

    Guodong Zeng;Xin Yang;Jing Li;Lequan Yu

  • A hybrid CT‐free navigation system for total hip arthroplasty

    Guoyan Zheng;Axel Marx;Ulrich Langlotz;Karl-Heinz Widmer

  • Nonlinear Regression via Deep Negative Correlation Learning

    Le Zhang;Zenglin Shi;Ming-Ming Cheng;Yun Liu

  • Hip2Norm: An object-oriented cross-platform program for 3D analysis of hip joint morphology using 2D pelvic radiographs

    G. Zheng;M. Tannast;C. Anderegg;K. A. Siebenrock

  • Novel adversarial semantic structure deep learning for MRI-guided attenuation correction in brain PET/MRI

    Hossein Arabi;Guodong Zeng;Guoyan Zheng;Guoyan Zheng;Habib Zaidi

  • Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge

    Hugo J. Kuijf;J. Matthijs Biesbroek;Jeroen de Bresser;Rutger Heinen

  • Computer aided high tibial open wedge osteotomy

    Peter Keppler;Florian Gebhard;Paul A. Grützner;Gongli Wang

  • Reconstruction of patient-specific 3D bone surface from 2D calibrated fluoroscopic images and point distribution model

    Guoyan Zheng;Miguel Á.G. Ballester;Martin Styner;Lutz-Peter Nolte

  • Fully automatic segmentation of lumbar vertebrae from CT images using cascaded 3D fully convolutional networks

    Rens Janssens;Guodong Zeng;Guoyan Zheng

Frequent Co-Authors

Lutz-Peter Nolte
Lutz-Peter Nolte University of Bern
Shuo Li
Shuo Li Case Western Reserve University
Pierre Jannin
Pierre Jannin University of Rennes
Bjoern H. Menze
Bjoern H. Menze University of Zurich
Bennett A. Landman
Bennett A. Landman Vanderbilt University
Giancarlo Ferrigno
Giancarlo Ferrigno Polytechnic University of Milan
Ben Glocker
Ben Glocker Imperial College London
Lena Maier-Hein
Lena Maier-Hein German Cancer Research Center
Gregory C. Sharp
Gregory C. Sharp Harvard University
Le Zhang
Le Zhang University of Electronic Science and Technology of China

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