Loic Themyr
Papers
1
Total Citations
3
H-Index
1
About
Loïc Themyr is a leading researcher in medical image analysis, with a core focus on inter-modal image registration, segmentation, and the development of public datasets for abdominal imaging. His most notable contribution is the creation of the TRUSTED dataset—the first paired 3D transabdominal ultrasound and CT human dataset for kidney segmentation and registration research. This work, already garnering 3 citations since its 2025 publication, addresses a critical bottleneck in the field: the severe scarcity of publicly available, paired imaging data. By providing this resource, Themyr enables advances in image-guided surgery, automatic organ measurement, and robotic navigation. His research directly tackles the challenges of aligning and segmenting ultrasound and CT modalities, which are essential for non-invasive, real-time clinical guidance. Themyr’s work stands out for its practical impact, offering a foundational tool that empowers other researchers to develop and validate algorithms in a previously data-limited domain. His contributions are pivotal for bridging the gap between imaging research and clinical application.
Research Focus
Key Achievements
Top Papers
- 1