Papers
1
Total Citations
18
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1
About
Manuel Desco is a leading figure in biomedical imaging and image-guided interventions, with a particular focus on advancing computer-aided surgery and multimodal imaging technologies. His work bridges engineering and clinical practice, notably through the development and rigorous assessment of optical tracking systems that enhance surgical precision. In his highly cited study, "Multicamera Optical Tracker Assessment for Computer Aided Surgery Applications" (2018, 18 citations), Desco provides a critical evaluation of tracker accuracy and robustness, directly informing the design of safer, more reliable intraoperative navigation tools. Beyond this, his research spans the creation of novel imaging platforms—including PET/CT and SPECT/CT systems for small animals—and the application of machine learning to medical image analysis. With a career marked by over 300 publications and numerous patents, Desco’s contributions have been instrumental in translating cutting-edge optical and nuclear imaging techniques into tangible clinical and preclinical solutions. His work continues to shape how surgeons visualize and interact with patient anatomy, making complex procedures more accurate and less invasive.
Research Focus
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Top Papers
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