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About

Cyril Fourniol is a researcher advancing the frontiers of urological surgery and medical imaging, with a focus on improving outcomes for patients undergoing complex kidney procedures. His work bridges the gap between clinical practice and cutting-edge technology, particularly in the areas of renal surgery, Doppler-ultrasound, and multimodal image registration. In a pivotal 2019 study, Fourniol demonstrated that performing a systematic early Doppler-ultrasound after complex partial nephrectomy does not prevent hemorrhagic complications—a finding that challenges routine postoperative protocols and has informed more targeted surveillance strategies. More recently, he contributed to the creation of the TRUSTED dataset (2025), a paired 3D transabdominal ultrasound and CT human data resource designed to accelerate research in kidney segmentation and inter-modal image registration. This publicly available dataset addresses a critical bottleneck in developing image-guided surgery, robotic navigation, and automatic organ measurement. With a growing citation impact, Fourniol’s work is shaping safer surgical practices and enabling the next generation of AI-driven tools for urological care.