Robotics and Control Lab Team wins two awards at IPCAI
- April 2021 (3)
- February 2021 (2)
- January 2021 (1)
- November 2020 (2)
- October 2020 (4)
- September 2020 (2)
- August 2020 (1)
- July 2020 (4)
- June 2020 (8)
- May 2020 (7)
- March 2020 (7)
- February 2020 (3)
- January 2020 (8)
- December 2019 (2)
- November 2019 (4)
- October 2019 (1)
- September 2019 (1)
- July 2019 (1)
- June 2019 (2)
- May 2019 (3)
- April 2019 (2)
- March 2019 (4)
- February 2019 (3)
- January 2019 (1)
- December 2018 (1)
- November 2018 (1)
- October 2018 (1)
- September 2018 (2)
- August 2018 (1)
- July 2018 (3)
July 2, 2019 | Graduate Student Achievements
Robotics and Control Lab Team wins two awards at IPCAI
Congratulations to the ECE Robotics and Control Laboratory team on winning two awards at IPCAI 2019 (International Conference on Information Processing in Computer-Assisted Interventions)!
The team received the ImFusion AI Translational Medicine Award for their paper titled Automatic biplane left ventricular ejection fraction estimation with mobile point-of-care ultrasound using multi-task learning and adversarial training, by Mohammad H. Jafari, Hany Girgis, Nathan Van Woudenberg, Zhibin Liao, Robert Rohling, Ken Gin and Purang Abolmaesumi.
The team also won first place to receive the Best Bench-to-Bedside Award for their paper titled A "Pick-Up" stereoscopic camera with visual-motor aligned control for the da Vinci surgical system: A preliminary study, by Apeksha Avinash, Alaa Eldin Abdelaal Prateek Mathur and Septimiu E. Salcudean.
Learn more about IPCAI 2019
ImFusion AI Translational Medicine Award
AI in Translational Medicine Award, new in 2019, is generously supported by infusion and recognizes the contributions of a paper applying the principals of AI to Computer-aided Interventions, in particular an application close to clinical translation.
Best Bench-to-Bedside Award
The purpose of this award is to recognize the efforts in translating IPCAI solutions to the clinical setting. Nominated papers should include clinical evaluation of a CAI technology, ideally on a large number of patients. Less emphasis is put on technical innovation, rather on detailed evaluation. These papers will be shortlisted and an award committee composed of members from the IPCAI Steering Committee and Area Chairs will select the winner.
