Grupp, Robert B.

The Impact of Machine Learning on 2D/3D Registration for Image-Guided Interventions: A Systematic Review and Perspective

Unberath, M., Gao, C., Hu, Y., Judish, M., Taylor, R. H., Armand, M., & Grupp, R. (2021) · Frontiers in Robotics and AI

Medical Image Segmentation TechniquesAnatomy and Medical Technology

Cited by 102

Automatic Annotation of Hip Anatomy in Fluoroscopy for Robust and Efficient 2D/3D Registration

Grupp, R. B., Unberath, M., Gao, C., Hegeman, R. A., Murphy, R. J., Alexander, C. P., Otake, Y., McArthur, B. A., Armand, M., & Taylor, R. H. (2020) · International Journal of Computer Assisted Radiology and Surgery

Medical Image Segmentation TechniquesMedical Imaging and Analysis

Cited by 83

Learning to detect anatomical landmarks of the pelvis in X-rays from arbitrary views

Bier, B., Goldmann, F., Zaech, J.-N., Fotouhi, J., Hegeman, R., Grupp, R., Armand, M., Osgood, G., Navab, N., Maier, A., et al. (2019) · International Journal of Computer Assisted Radiology and Surgery

Medical Imaging and AnalysisMedical Image Segmentation Techniques

Cited by 43

Pose Estimation of Periacetabular Osteotomy Fragments With Intraoperative X-Ray Navigation

Grupp, R. B., Hegeman, R. A., Murphy, R. J., Alexander, C. P., Otake, Y., McArthur, B. A., Armand, M., & Taylor, R. H. (2020) · IEEE Transactions on Biomedical Engineering

Medical Image Segmentation TechniquesHip disorders and treatments

Cited by 38

Fiducial-Free 2D/3D Registration for Robot-Assisted Femoroplasty

Gao, C., Farvardin, A., Grupp, R. B., Bakhtiarinejad, M., Ma, L., Thies, M., Unberath, M., Taylor, R. H., & Armand, M. (2020) · IEEE Transactions on Medical Robotics and Bionics

Medical Image Segmentation TechniquesSpinal Fractures and Fixation Techniques

Cited by 36

Patch-Based Image Similarity for Intraoperative 2D/3D Pelvis Registration During Periacetabular Osteotomy

Grupp, R. B., Armand, M., & Taylor, R. H. (2018) · Lecture Notes in Computer Science

Medical Image Segmentation TechniquesMedical Imaging and Analysis

Cited by 23

Extended Capture Range of Rigid 2D/3D Registration by Estimating Riemannian Pose Gradients

Gu, W., Gao, C., Grupp, R., Fotouhi, J., & Unberath, M. (2020) · Lecture Notes in Computer Science

Medical Image Segmentation TechniquesMedical Imaging and Analysis

Cited by 16

Fiducial-free 2D/3D registration of the proximal femur for robot-assisted femoroplasty

Gao, C., Grupp, R. B., Unberath, M., Taylor, R. H., & Armand, M. (2020) · Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling

Medical Image Segmentation TechniquesBone fractures and treatments

Cited by 14

Towards 2D/3D Registration of the Preoperative MRI to Intraoperative Fluoroscopic Images for Visualisation of Bone Defects

Ku, P.-C., Martin-Gomez, A., Gao, C., Grupp, R., Mears, S. C., & Armand, M. (2023) · Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

Medical Image Segmentation TechniquesAnatomy and Medical Technology

Cited by 8

Robust patella motion tracking using intensity-based 2D-3D registration on dynamic bi-plane fluoroscopy: towards quantitative assessment in MPFL reconstruction surgery

Otake, Y., Esnault, M., Grupp, R., Kosugi, S., & Sato, Y. (2016) · SPIE Proceedings

Medical Image Segmentation TechniquesRadiation Dose and Imaging

Cited by 6

SyntheX: Scaling Up Learning-based X-ray Image Analysis Through In Silico Experiments

Gao, C., Killeen, B. D., Hu, Y., Grupp, R. B., Taylor, R. H., Armand, M., & Unberath, M. (2022) · arXiv

Artificial Intelligence in Healthcare and EducationDomain Adaptation and Few-Shot Learning

Cited by 5