Guochen Ning

To the pioneers who lead, the companions who walk beside, and the successors yet to stride.

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Dr. Ning (宁国琛) is currently an Assistant Professor and a Principal Investigator (PI) at Tsinghua University.

His research interests encompass structural design and autonomous control of medical robots, with a particular emphasis on intelligence. He also concentrates on research areas involving robot learning and the intersection of robotics and artificial intelligence (AI). The systems he is actively engaged with include ultrasound robots, respiratory intervention robots, and ophthalmic robots. Additionally, he is actively involved in the fields of reinforcement learning (RL), imitation learning (IL), and robotic perception-decision methodologies, with the ultimate goal of achieving autonomous medical robots capable of performing medical tasks in the future.

News

Aug 23, 2024 I am supported by National Natural Science Foundation of China (面上) in 2024!
Apr 26, 2024 We publised a research paper on Medical Image Analysis (MIA) ! https://www.sciencedirect.com/science/article/pii/S2589750023002017
Nov 23, 2023 We publised a review paper on The Lancet Digital Health! https://www.sciencedirect.com/science/article/pii/S2589750023002017
Sep 28, 2023 I am supported by 青年人才托举项目 of China Association For Science And Technology (CAST) in 2023.

Selected Publications

2024

  1. IEEE TMRB
    Cable-Driven Light-weighting and Portable System for Robotic Medical Ultrasound Imaging
    Guochen, Ning*, Jie, Wang, and Hongen, Liao
    IEEE Transactions on Medical Robotics and Bionics 2024
  2. MIA
    One-shot neuroanatomy segmentation through online data augmentation and confidence aware pseudo label
    Liutong, Zhang, Guochen, Ning, Hanying, Liang, Boxuan, Han, and Hongen, Liao*
    Medical Image Analysis 2024

2023

  1. MIA
    Anatomically constrained and attention-guided deep feature fusion for joint segmentation and deformable medical image registration
    Hee Guan, Khor, Guochen, Ning, Yihua, Sun, Xu, Lu, Xinran, Zhang, and Hongen, Liao*
    Medical Image Analysis 2023
  2. IEEE TBME
    Autonomous Robotic Ultrasound Vascular Imaging System With Decoupled Control Strategy for External-Vision-Free Environments
    Guochen, Ning, Hanying, Liang, Xinran, Zhang, and Hongen, Liao*
    IEEE Transactions on Biomedical Engineering 2023
  3. IEEE TIE
    Inverse-reinforcement-learning-based robotic ultrasound active compliance control in uncertain environments
    Guochen, Ning, Hanying, Liang, Xinran, Zhang, and Hongen, Liao*
    IEEE Transactions on Industrial Electronics 2023