Our Team projects Skullbot was shortlisted for 2019 Global Innovation Design Competition of Medical Robotics
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 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.
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
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).
Our research prototypes on medical robotics were presented during Innovfest Suzhou 2019 (http://www.innovfestchina.com/), which is a leading international Innovation and Entrepreneurship Festival in China.