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About

Alexandre Hostettler’s research sits at the intersection of computer-assisted surgery, medical imaging, and minimally invasive intervention, with a focus on digestive and abdominal procedures. His major contributions include advancing the concept of “augmented surgery” as a natural evolution of minimally invasive techniques, integrating real-time imaging and navigation to enhance surgical precision. Hostettler is also a driving force in addressing the critical shortage of public medical datasets, exemplified by his work on the TRUSTED dataset—a paired 3D transabdominal ultrasound and CT collection for kidney segmentation and registration. This resource directly supports research in inter-modal image registration, automatic organ measurement, and robotic navigation. His early work on computer-assisted digestive surgery laid foundational insights into how digital tools can transform clinical workflows. While his citation counts are still growing (e.g., 4 and 3 citations for his most-cited papers), the practical and translational impact of his work is significant, particularly in enabling safer, more accurate image-guided interventions. Hostettler’s contributions are especially valuable for students and researchers interested in surgical data science, medical image analysis, and the future of augmented reality in the operating room.