Publications
Export 6 results:
Filters: Author is Christopher Schlenger [Clear All Filters]
Automatic spine ultrasound segmentation for scoliosis visualization and measurement.
IEEE Transactions on Biomedical Engineering.
Ungi2020.pdf (676.48 KB)
(In Press). 
Scoliosis visualization using transverse process landmarks.
(Lasso, A., Schlenger C., Borschneck D. P., Mousavi P., Fichtinger G., & Ungi T., Ed.).15th Annual Imaging Network Ontario Symposium (ImNO).
Church2017b.pdf (165.6 KB)
Church2017b-poster.pdf (872.64 KB)
(2017). 

Step-wise identification of ultrasound-visible anatomical landmarks for 3D visualization of scoliotic spine.
SPIE Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling. 10951,
Baum2019a.pdf (496 KB)
(2019). 
Ultrasound-based vertebral landmark localization using deformable spine models.
16th Annual Imaging Network Ontario Symposiuim.
Baum2018b.pdf (1.03 MB)
Baum2018b-Poster.pdf (961.09 KB)
(2018). 

Visual aid for identifying vertebral landmarks in ultrasound.
SPIE Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling. 10576, 105760Z.
Baum2018a.pdf (1.46 MB)
(2018). 
Visualization of scoliotic spine using ultrasound-accessible skeletal landmarks.
SPIE Medical Imaging 2017.
Church2017a.pdf (814.95 KB)
(2017). 