Xavier Intes
Papers
3
Total Citations
173
H-Index
3
About
Xavier Intes is a pioneering figure in biomedical optics and computational imaging, whose work bridges the gap between advanced imaging technologies and surgical training. His key research areas include mesoscopic fluorescence molecular tomography (MFMT), 3-D bioprinting, and the application of machine learning to surgical skill assessment. Intes is best known for his groundbreaking integration of 3-D cell printing with MFMT, enabling the visualization of vascular constructs within thick hydrogel scaffolds—a major contribution to tissue engineering and regenerative medicine. This work, published in 2012, has garnered 157 citations, underscoring its lasting impact. More recently, Intes has ventured into the intersection of neuroscience and surgical education, developing models that leverage electroencephalogram (EEG) and eye gaze data to predict performance and learning rates in laparoscopic and robotic-assisted surgery. His innovative use of meta-learning for one-shot skill assessment in high-stakes domains further demonstrates his commitment to advancing surgical training through data-driven methods. With a career marked by interdisciplinary innovation, Intes continues to shape the future of medical imaging and surgical proficiency.
Research Focus
Key Achievements
Top Papers
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