MySpine Project

Comparison of patient-specific computational models vs. clinical follow-up, for adjacent segment disc degeneration and bone remodelling after spinal fusion

Rijsbergen MV, van Rietbergen B, Barthelemy V, Eltes P, Lazáry Á, Lacroix D, Noailly J, Ho Ba Tho MC, Wilson W, Ito K
PloS one 13.8 (2018). doi: 10.1371/journal.pone.0200899

Intervertebral disc classification by its degree of degeneration from T2-weighted magnetic resonance images

Castro-Mateos I, Hua R, Pozo JM, Lazary A, Frangi AF
Eur Spine J. 2016 Sep;25(9):2721-7. doi: 10.1007/s00586-016-4654-6. Epub: 2016 Jul 7

Statistical Interspace Models (SIMs): Application to Robust 3D Spine Segmentation

Castro-Mateos I, Pozo JM, Pereañez M, Lekadir K, Lazary A, Frangi AF.
IEEE Trans Med Imaging ,2015 Aug; 34(8):1663-75. doi:10.1109/TMI.2015.2443912. Epub 2015 Jun 11.

Multimodal medical imaging (CT and dynamic MRI) data and computer-graphics multi-physical model for the estimation of patient specific lumbar spine muscle forces

Dao T, Pouletaut P, Charleux F, Lazáry Á, Eltes P, Varga PP, Ho Ba Tho MC
Data and Knowledge Engineering Volumes 96–97, March–May 2015, Pages 3-18
doi: 10.1016/j.datak.2015.04.001

Comparison of patient-specific computational models vs. clinical follow-up, for adjacent segment disc degeneration and bone remodelling after spinal fusion

Intervertebral disc classification by its degree of degeneration from T2-weighted magnetic resonance images

Statistical Interspace Models (SIMs): Application to Robust 3D Spine Segmentation

Multimodal medical imaging (CT and dynamic MRI) data and computer-graphics multi-physical model for the estimation of patient specific lumbar spine muscle forces

Accurate Segmentation of Vertebral Bodies and Processes Using Statistical Shape Decomposition and Conditional Models

Estimation of patient specific lumbar spine muscle forces using multi-physical musculoskeletal model and dynamic MRI

3D segmentation of annulus fibrosus and nucleus pulposus from T2-weighted magnetic resonance images