2 citations · 5 across the 8 of their papers we have counts for
8 papers
VLM-Guided Iterative Refinement for Surgical Image Segmentation with Foundation Models
Ange Lou, Yamin Li, Qi Chang +4
Surgical image segmentation is essential for robot-assisted surgery and intraoperative guidance. However, existing methods are constrained to predefined categories, produce one-sho…
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…
Zero-Shot Surgical Tool Segmentation in Monocular Video Using Segment Anything Model 2
Ange Lou, Yamin Li, Yike Zhang +2
The Segment Anything Model 2 (SAM 2) is the latest generation foundation model for image and video segmentation. Trained on the expansive Segment Anything Video (SA-V) dataset, whi…
Reconstructing physiological signals from fMRI across the adult lifespan
Shiyu Wang, Ziyuan Xu, Laurent M. Lochard +7
Interactions between the brain and body are of fundamental importance for human behavior and health. Functional magnetic resonance imaging (fMRI) captures whole-brain activity noni…
DaReNeRF: Direction-aware Representation for Dynamic Scenes
Ange Lou, Benjamin Planche, Zhongpai Gao +6
Addressing the intricate challenge of modeling and re-rendering dynamic scenes, most recent approaches have sought to simplify these complexities using plane-based explicit represe…
Leveraging sinusoidal representation networks to predict fMRI signals from EEG
Yamin Li, Ange Lou, Ziyuan Xu +2
In modern neuroscience, functional magnetic resonance imaging (fMRI) has been a crucial and irreplaceable tool that provides a non-invasive window into the dynamics of whole-brain…