Author

Antoine Pierre Sanner

3 papers indexed here

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Open access Sep 2026

Deep Learning Reconstruction Enables Substantial Radiation Dose Reduction in Ultra-High-Resolution Temporal Bone CT: a Body Donor Study.

PURPOSE Deep learning reconstruction may enable substantial radiation dose reduction in ultra-high-resolution (UHR) temporal bone CT, but its performance across clinically relevant dose levels remains insufficiently defined. This study evaluated vendor-specific deep learning reconstruction (DLR) compared with hybrid it...

Lavinia A. Brockstedt, Sebastian Altmann, Suam Kim et al. · Clinical Neuroradiology · 0 citations

Preprint Aug 2026

Sterilizable Scene Graph Generation for Operating Rooms

Scene graph generation from surgical video enables a holistic and structured understanding of surgical scenes by modeling objects and their semantic relationships. Despite recent advances, state-of-the-art approaches rely on large, parameter-heavy deep learning models that are impractical for deployment in the operatin...

Nick Lemke, Ssharvien Kumar R. Sivakumar, Antoine Pierre Sanner et al. · 1 citation

Open access Sep 2026

Deep Learning-Based Image Reconstruction in Ultra-High-Resolution CT Venography for Improved Visualization of Cerebral Venous Drainage.

PURPOSE To evaluate the diagnostic confidence and image quality of deep-learning-enhanced ultra-high-resolution CT venography (CTV) in venous neurovascular imaging, compared with hybrid iterative reconstruction of ultra-high-resolution CT datasets and normal-resolution CTV. METHODS This retrospective, single-center s...

Sebastian Steinmetz, Anna-Luisa Grebe, M. Kondova et al. · Clinical Neuroradiology · 0 citations