*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
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9:30-9:35
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Opening Remarks
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9:35-10:35
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Keynote
Dr Sandrine de Ribaupierre
Neuroendoscopy: what are
the needs and use for AR and VR?
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10:35-10:55*
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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
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11:00-11:30
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Coffee Break
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11:30-11:50
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Endo3D: Online Workflow Analysis for Endoscopic
Surgeries Based on 3D CNN and LSTM
Weixiang Chen, Feng Jianjiang, Jiwen Lu, Jie Zhou
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11:50-12:10
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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
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12:10:12:30*
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Learning to See Forces: Surgical Force Prediction with RGB-Point Cloud Temporal Convolutional Networks
Cong Gao, Xingtong Liu, Michael Peven, Mathias Unberath, Austin Reiter
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12:30-12:50
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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
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12:50-1:15
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Award Ceremony and Closing Remarks
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