99 citations · 157 across the 46 of their papers we have counts for
10 papers · 1 filter
EndoStreamDepth: Temporally Consistent Monocular Depth Estimation for Endoscopic Video Streams
Hao Li, Daiwei Lu, Jiacheng Wang +2
This work presents EndoStreamDepth, a monocular depth estimation framework for endoscopic video streams. It provides accurate depth maps with sharp anatomical boundaries for each f…
Endo-SemiS: Towards Robust Semi-Supervised Image Segmentation for Endoscopic Video
Hao Li, Daiwei Lu, Xing Yao +2
In this paper, we present Endo-SemiS, a semi-supervised segmentation framework for providing reliable segmentation of endoscopic video frames with limited annotation. EndoSemiS use…
ProbeMDE: Uncertainty-Guided Active Proprioception for Monocular Depth Estimation in Surgical Robotics
Britton Jordan, Jordan Thompson, Jesse F. d'Almeida +8
Monocular depth estimation (MDE) provides a useful tool for robotic perception, but its predictions are often uncertain and inaccurate in challenging environments such as surgical…
DEMIST: Decoupled Multi-stream latent diffusion for Quantitative Myelin Map Synthesis
Jiacheng Wang, Hao Li, Xing Yao +9
Quantitative magnetization transfer (qMT) imaging provides myelin-sensitive biomarkers, such as the pool size ratio (PSR), which is valuable for multiple sclerosis (MS) assessment.…
A Supervised Autonomous Resection and Retraction Framework for Transurethral Enucleation of the Prostatic Median Lobe
Mariana Smith, Tanner Watts, Susheela Sharma Stern +15
Concentric tube robots (CTRs) offer dexterous motion at millimeter scales, enabling minimally invasive procedures through natural orifices. This work presents a coordinated model-b…
Monocular absolute depth estimation from endoscopy via domain-invariant feature learning and latent consistency
Hao Li, Daiwei Lu, Jesse d'Almeida +8
Monocular depth estimation (MDE) is a critical task to guide autonomous medical robots. However, obtaining absolute (metric) depth from an endoscopy camera in surgical scenes is di…
PERSEUS: Perception with Semantic Endoscopic Understanding and SLAM
Ayberk Acar, Fangjie Li, Susheela Sharma Stern +9
Purpose: Natural orifice surgeries minimize the need for incisions and reduce the recovery time compared to open surgery; however, they require a higher level of expertise due to v…
Probabilistic Robustness Analysis in High Dimensional Space: Application to Semantic Segmentation Network
Navid Hashemi, Samuel Sasaki, Diego Manzanas Lopez +4
Semantic segmentation networks (SSNs) are central to safety-critical applications such as medical imaging and autonomous driving, where robustness under uncertainty is essential. H…
crossMoDA Challenge: Evolution of Cross-Modality Domain Adaptation Techniques for Vestibular Schwannoma and Cochlea Segmentation from 2021 to 2023
Navodini Wijethilake, Reuben Dorent, Marina Ivory +38
The cross-Modality Domain Adaptation (crossMoDA) challenge series, initiated in 2021 in conjunction with the International Conference on Medical Image Computing and Computer Assist…
From Monocular Vision to Autonomous Action: Guiding Tumor Resection via 3D Reconstruction
Ayberk Acar, Mariana Smith, Lidia Al-Zogbi +14
Surgical automation requires precise guidance and understanding of the scene. Current methods in the literature rely on bulky depth cameras to create maps of the anatomy, however t…