Areas of Focus
- Computer-assisted surgery and medical robotics
- Medical image segmentation, registration, and reconstruction
- Computer-assisted diagnosis based on machine learning and deep learning
Work Experience
- 2019 - Present: Director at the Image-Guided Intervention Research Center, Institute of Medical Robotics, Shanghai Jiao Tong University
- Before 2019: Director and Associate Professor at the Medical Information Processing Laboratory, University of Bern
Academic Background & Achievements
- PhD: University of Bern, Switzerland
- Project leader for a major national natural science project
- Project leader for a major national research and development project
- Project leader for a major high-tech project in Shanghai
Publications
- Holistic decomposition convolution for effective semantic segmentation of medical volume images, G Zheng, 2019
- 3D multi-scale FCN with random modality voxel dropout learning for intervertebral disc localization and segmentation from multi-modality MR images, G Zheng, 2018
- Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: a grand challenge, G Zheng, 2017
- Non-rigid free-form 2D-3D registration using a B-spline-based statistical deformation model, G Zheng, 2017
- Multi-Atlas Segmentation Constrained Graph Method for Accurate Segmentation of Hip CT Images, G Zheng, 2015
- Localization and segmentation of 3D intervertebral discs in MR images by data driven estimation, G Zheng, 2015
Awards
- 2019: First Prize in the Global Medical Robotics Innovation Design Competition
- Various Best Paper Awards at international conferences such as ICIAR’18, CAOS’18, MLMI’17, CARS’14, and CAOS’06
- 2012: Best Basic Paper Award from the Journal of Laryngology and Otology
- 2009: Ypsomed Innovation Research Award
