Publications (54)
FBG-Based Position Estimation of Highly Deformable Continuum Manipulators: Model-Dependent vs. Data-Driven Approaches
Shahriar Sefati, Rachel Hegeman, Farshid Alambeigi +2
Conventional shape sensing techniques using Fiber Bragg Grating (FBG) involve finding the curvature at discrete FBG active areas and integrating curvature over the length of the co…
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…
DeepDRR -- A Catalyst for Machine Learning in Fluoroscopy-guided Procedures
Mathias Unberath, Jan-Nico Zaech, Sing Chun Lee +4
Machine learning-based approaches outperform competing methods in most disciplines relevant to diagnostic radiology. Interventional radiology, however, has not yet benefited substa…
Generalizing Spatial Transformers to Projective Geometry with Applications to 2D/3D Registration
Cong Gao, Xingtong Liu, Wenhao Gu +4
Differentiable rendering is a technique to connect 3D scenes with corresponding 2D images. Since it is differentiable, processes during image formation can be learned. Previous app…
FBG-Based Control of a Continuum Manipulator Interacting With Obstacles
Shahriar Sefati, Ryan Murphy, Farshid Alambeigi +4
Tracking and controlling the shape of continuum dexterous manipulators (CDM) in constraint environments is a challenging task. The imposed constraints and interaction with unknown…
Revisiting Lesion Tracking in 3D Total Body Photography
Wei-Lun Huang, Minghao Xue, Zhiyou Liu +5
Melanoma is the most deadly form of skin cancer. Tracking the evolution of nevi and detecting new lesions across the body is essential for the early detection of melanoma. Despite…