Best Paper Award from IEEE ROBIO 2019

Our paper entitled “Biomimetic Stretchable Sensor Resembling Shar-Pei Crumples with 2D Materials towards Collaborative Robotic Minimally Invasive Procedures” (by Parita Sanghani, Catherine Jiayi Cai, Ting-Hsiang Chang, Benjamin Delecourt, Chwee Ming Lim, Po-Yen Chen, Hongliang Ren) was awarded for the Best Paper in Biomimetics at The IEEE Robio 2019 (The 2019 IEEE International Conference on Robotics and Biomimetics, Dali, Yunnan,  6-8 December 2019).   IEEE ROBIO 2019 conference committee accepted 403 papers from over 739 paper submissions for oral presentations at the conference.



Dr Ren delivered BDML’19 Plenary talk

Dr. Ren delivered a plenary talk at BDML’19, the 2019 International Conference on Big Data and Machine Learning, on the topic of Representation Learning in Multimodal Spatiotemporal Image-Guided Procedures, at Chengdu, China.


Dr Ren delivered ICSRIH’19 Keynote at Shanghai

Dr. Ren delivered a keynote talk at ICSRIH’19, the 2019 International Conference on Surgical Robots and Intelligent Healthcare (ICMSR 2019), on the topic of Medical sensing and stretchable continuum, at Shanghai, China (Hosted by Shanghai Institute of Healthcare and Medical Science).

Our team papers presented at MICCAI 2019

Our teamwork on surgical instrument tracking (led by Mobarakol) was selected for oral presentation at MICCAI 2019, Shenzhen.  Another paper on Robot-Assisted Surgery Using Multi-Domain CNN led by Qiu Liang was also selected for a workshop presentation and HTL journal publication.

Key facts about MICCAI 2019:

  • 539 accepted papers
  • a low acceptance rate of 31%
  • only 50+ oral presentations
  • 2000+ attendees
  • 7 single-track oral sessions

Related publications:

Islam, Mobarakol, Yueyuan Li, and Hongliang Ren. “Learning Where to Look While Tracking Instruments in Robot-assisted Surgery.” International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, Cham, 2019.

Qiu, Liang, Changsheng Li, Hongliang Ren. “Real-time Surgical Instrument Tracking in Robot-Assisted Surgery Using Multi-Domain CNN.” Healthcare Technology Letters (2019).