Yvonne Keeza
Papers
1
Total Citations
3
H-Index
1
About
Yvonne Keeza is a rising researcher in biomedical imaging, whose work addresses a critical bottleneck in the field: the scarcity of publicly available, paired multimodal datasets. Her primary research areas include inter-modal image registration (IMIR), image segmentation, and the development of gold-standard benchmarks for abdominal ultrasound and CT data. Her most notable contribution is the creation of the **TRUSTED dataset**, a pioneering collection of paired 3D transabdominal ultrasound and CT human data designed specifically for kidney segmentation and registration research. This work directly tackles the severe data limitations that have hindered progress in image-guided surgery, automatic organ measurement, and robotic navigation. Although early in her career, her foundational dataset has already garnered attention, with her 2025 paper receiving 3 citations and establishing a crucial resource for the community. By providing a standardized, publicly available testbed, Keeza is enabling reproducibility and accelerating innovation in multimodal abdominal imaging. Her efforts promise to unlock new clinical capabilities, making her a key contributor to the future of non-invasive, image-guided interventions.
Research Focus
Key Achievements
Top Papers
- 1