SegFormer3D: Improving the Robustness of Deep Learning Model-Based Image Segmentation in Ultrasound Volumes of the Pediatric Hip
Hers, B., Bonta, M., Du, S., Mulpuri, K., Schaeffer, E. K., Hodgson, A. J., & Garbi, R. (2025). SegFormer3D: Improving the Robustness of Deep Learning Model-Based Image Segmentation in Ultrasound Volumes of the Pediatric Hip. Ultrasound in medicine & biology, 51(5), 751–758. https://doi.org/10.1016/j.ultrasmedbio.2024.12.013
Management of long bone fractures and traumatic hip dislocations in paediatric patients: study protocol for a prospective global multicentre observational cohort registry
Zomar, B. O., Chen, M., Schaeffer, E. K., Mulpuri, K., Joeris, A., & PedORTHO Study Group (2024). Management of long bone fractures and traumatic hip dislocations in paediatric patients: study protocol for a prospective global multicentre observational cohort registry. BMJ open, 14(3), e079836. https://doi.org/10.1136/bmjopen-2023-079836
Application of statistical shape modeling to the human hip joint: a scoping review.
Johnson, Luke G.1,2; Bortolussi-Courval, Sara1,3; Chehil, Anjuli4; Schaeffer, Emily K.5,6; Pawliuk, Colleen7; Wilson, David R.2,5; Mulpuri, Kishore5,6,7. Application of statistical shape modeling to the human hip joint: a scoping review. JBI Evidence Synthesis 21(3):p 533-583, March 2023. | DOI: 10.11124/JBIES-22-00175