most citedFluoroSAM: A Language-promptable Foundation Model for Flexible X-ray Image Segmentation

6 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2025

3D Path Planning for Robot-assisted Vertebroplasty from Arbitrary Bi-plane X-ray via Differentiable Rendering

Blanca Inigo, Benjamin D. Killeen, Rebecca Choi +6

Robotic systems are transforming image-guided interventions by enhancing accuracy and minimizing radiation exposure. A significant challenge in robotic assistance lies in surgical…

cs.CV2025

Investigating Robot Control Policy Learning for Autonomous X-ray-guided Spine Procedures

Florence Klitzner, Blanca Inigo, Benjamin D. Killeen +4

Imitation learning-based robot control policies are enjoying renewed interest in video-based robotics. However, it remains unclear whether this approach applies to X-ray-guided pro…

cs.LG2024★ 1 cited

An Intrinsically Explainable Approach to Detecting Vertebral Compression Fractures in CT Scans via Neurosymbolic Modeling

Blanca Inigo, Yiqing Shen, Benjamin D. Killeen +4

Vertebral compression fractures (VCFs) are a common and potentially serious consequence of osteoporosis. Yet, they often remain undiagnosed. Opportunistic screening, which involves…

cs.RO2024

Intelligent Control of Robotic X-ray Devices using a Language-promptable Digital Twin

Benjamin D. Killeen, Anushri Suresh, Catalina Gomez +3

Natural language offers a convenient, flexible interface for controlling robotic C-arm X-ray systems, making advanced functionality and controls accessible. However, enabling langu…

cs.CV2024★ 6 cited

FluoroSAM: A Language-promptable Foundation Model for Flexible X-ray Image Segmentation

Benjamin D. Killeen, Liam J. Wang, Blanca Inigo +5

Language promptable X-ray image segmentation would enable greater flexibility for human-in-the-loop workflows in diagnostic and interventional precision medicine. Prior efforts hav…