Oliver Holmes
Papers
2
Total Citations
7
H-Index
1
About
Oliver Holmes is a pioneering researcher at the intersection of medical imaging and robotic radiosurgery, with a focus on enhancing precision in stereotactic treatments for intracranial conditions. His work centers on geometric accuracy and co-registration errors across multimodal imaging—specifically CT, DynaCT, and MRI—critical for frameless robotic radiosurgery planning. Holmes’s most cited study, "Geometric inaccuracy and co-registration errors for CT, DynaCT and MRI images used in robotic stereotactic radiosurgery treatment planning" (2020, 6 citations), systematically quantifies alignment discrepancies, offering a framework to improve targeting in robotic systems. His earlier work on selective and super-selective angiography for arteriovenous malformations (AVMs) (2017, 1 citation) demonstrates a nuanced approach to vascular mapping, reducing radiation exposure while optimizing lesion delineation. Though his citation counts are modest, Holmes’s contributions are foundational for clinicians and engineers refining image-guided robotics—his findings directly inform quality assurance protocols in radiosurgery. By bridging imaging physics and clinical application, he advances safer, more accurate treatments for patients with complex brain pathologies.
Research Focus
Key Achievements
Top Papers
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- 2