1 citations · 1 across the 5 of their papers we have counts for
5 papers
Enhanced Landmark Detection Model in Pelvic Fluoroscopy using 2D/3D Registration Loss
Chou Mo, Yehyun Suh, J. Ryan Martin +1
Automated landmark detection offers an efficient approach for medical professionals to understand patient anatomic structure and positioning using intra-operative imaging. While cu…
Pedicle Screw Pairing and Registration for Screw Pose Estimation from Dual C-arm Images Using CAD Models
Yehyun Suh, Lin Li, Aric Plumley +3
Accurate matching of pedicle screws in both anteroposterior (AP) and lateral (LAT) images is critical for successful spinal decompression and stabilization during surgery. However,…
2D/3D Registration of Acetabular Hip Implants Under Perspective Projection and Fully Differentiable Ellipse Fitting
Yehyun Suh, J. Ryan Martin, Daniel Moyer
This paper presents a novel method for estimating the orientation and the position of acetabular hip implants in total hip arthroplasty using full anterior-posterior hip fluoroscop…
Regression-based Pelvic Pose Initialization for Fast and Robust 2D/3D Pelvis Registration
Yehyun Suh, J. Ryan Martin, Daniel Moyer
This paper presents an approach for improving 2D/3D pelvis registration in optimization-based pose estimators using a learned initialization function. Current methods often fail to…
Label Augmentation Method for Medical Landmark Detection in Hip Radiograph Images
Yehyun Suh, Peter Chan, J. Ryan Martin +1
This work reports the empirical performance of an automated medical landmark detection method for predict clinical markers in hip radiograph images. Notably, the detection method w…