Browse through all publications from the Institute of Global Health Innovation, which our Patient Safety Research Collaboration is part of. This feed includes reports and research papers from our Centre. 

Citation

BibTex format

@inproceedings{Daly:2026:10.1007/978-3-032-05114-1_60,
author = {Daly, C and Marconi, E and Riva, M and Ekanayake, J and Elson, DS and Rodriguez, y Baena F},
doi = {10.1007/978-3-032-05114-1_60},
pages = {627--637},
publisher = {Springer},
title = {Towards markerless intraoperative tracking of deformable spine tissue},
url = {http://dx.doi.org/10.1007/978-3-032-05114-1_60},
year = {2026}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - Consumer-grade RGB-D imaging for intraoperative orthopedic tissue tracking is a promising method with high translational potential. Unlike bone-mounted tracking devices, markerless tracking can reduce operating time and complexity. However, its use has been limited to cadaveric studies. This paper introduces the first real-world clinical RGB-D dataset for spine surgery and develops SpineAlign, a system for capturing deformation between preoperative and intraoperative spine states. We also present an intraoperative segmentation network trained on this data and introduce CorrespondNet, a multi-task framework for predicting key regions for registration in both intraoperative and preoperative scenes.
AU  - Daly,C
AU  - Marconi,E
AU  - Riva,M
AU  - Ekanayake,J
AU  - Elson,DS
AU  - Rodriguez,y Baena F
DO  - 10.1007/978-3-032-05114-1_60
EP  - 637
PB  - Springer
PY  - 2026///
SN  - 0302-9743
SP  - 627
TI  - Towards markerless intraoperative tracking of deformable spine tissue
UR  - http://dx.doi.org/10.1007/978-3-032-05114-1_60
UR  - https://doi.org/10.1007/978-3-032-05114-1_60
ER  -
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