Program

*Please note the following changes to the schedule:
Wide-area shape reconstruction by 3D endoscopic system based on CNN decoding, shape registration and fusion will now be presented at 10:35 am and not 12:10 pm 
Learning to See Forces: Surgical Force Prediction with RGB-Point Cloud Temporal Convolutional Networks will now be presented at 12:10 pm and not 10:35 am


 

9:30-9:35

Opening Remarks

 

9:35-10:35

Keynote

Dr Sandrine de Ribaupierre

 

Neuroendoscopy: what are the needs and use for AR and VR?

 

10:35-10:55*

Wide-area shape reconstruction by 3D endoscopic system based on CNN decoding, shape registration and fusion

 

Ryo Furukawa, Masaki Mizomori, Shinsaku Hiura, Shiro Oka, Shinji Tanaka, Hiroshi Kawasaki

 

11:00-11:30

Coffee Break

 

11:30-11:50

Endo3D: Online Workflow Analysis for Endoscopic Surgeries Based on 3D CNN and LSTM

 

Weixiang Chen, Feng Jianjiang, Jiwen Lu, Jie Zhou

 

11:50-12:10

Unsupervised learning of endoscopy video frames’ correspondences from global and local transformation

 

Mohammad Ali Armin, Nick Barnes, Salman Khan, Miaomiao Liu, Florian Grimpen, Olivier Salvado

 

12:10:12:30*

Learning to See Forces: Surgical Force Prediction with RGB-Point Cloud Temporal Convolutional Networks

 

Cong Gao, Xingtong Liu, Michael Peven, Mathias Unberath, Austin Reiter

 

12:30-12:50

Self-supervised Learning for Dense Depth Estimation in Monocular Endoscopy

 

Xingtong Liu, Ayushi Sinha, Mathias Unberath, Masaru Ishii, Gregory D. Hager, Russell H. Taylor, Austin Reiter

 

12:50-1:15

Award Ceremony and Closing Remarks