2 citations · 3 across the 6 of their papers we have counts for
4 papers · 1 filter
Neural Finite-State Machines for Surgical Phase Recognition
Hao Ding, Zhongpai Gao, Benjamin Planche +7
Surgical phase recognition (SPR) is crucial for applications in workflow optimization, performance evaluation, and real-time intervention guidance. However, current deep learning m…
DaRePlane: Direction-aware Representations for Dynamic Scene Reconstruction
Ange Lou, Benjamin Planche, Zhongpai Gao +7
Numerous recent approaches to modeling and re-rendering dynamic scenes leverage plane-based explicit representations, addressing slow training times associated with models like neu…
Surgical Depth Anything: Depth Estimation for Surgical Scenes using Foundation Models
Ange Lou, Yamin Li, Yike Zhang +1
Monocular depth estimation is crucial for tracking and reconstruction algorithms, particularly in the context of surgical videos. However, the inherent challenges in directly obtai…
NeuroBOLT: Resting-state EEG-to-fMRI Synthesis with Multi-dimensional Feature Mapping
Yamin Li, Ange Lou, Ziyuan Xu +7
Functional magnetic resonance imaging (fMRI) is an indispensable tool in modern neuroscience, providing a non-invasive window into whole-brain dynamics at millimeter-scale spatial…