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J. Van Houtte, Stanković, K., Booth, B. G., Danckaers, F., Bertrand, V., Verstreken, F., Sijbers, J., and Huysmans, T., An Articulating Statistical Shape Model of the Human Hand, in Advances in Human Factors in Simulation and Modeling (AHFE 2018), Cham, 2019, vol. 780, pp. 433–445.
J. Van Houtte, Bazrafkan, S., Vandenberghe, F., Zheng, G., and Sijbers, J., A Deep Learning Approach to Horse Bone Segmentation from Digitally Reconstructed Radiographs, in International Conference on Image Processing Theory, Tools, and Applications, 2019.
J. Van Houtte, Vandenberghe, F., Zheng, G., Huysmans, T., and Sijbers, J., EquiSim: An open-source articulatable statistical model of the equine distal limb, Frontiers in Veterinary Science , vol. 8, no. 75, 2021.
J. Van Houtte, Gao, X., Sijbers, J., and Zheng, G., 2D/3D registration with a statistical deformation model prior using deep learning, in the IEEE International Conference on Biomedical and Health Informatics (BHI'21) , 2021.PDF icon Download paper (1.41 MB)
J. Van Houtte, Sijbers, J., and Zheng, G., Graphical User Interface for Joint Space Width Assessment by Optical Marker Tracking, in 4th International Conference on Bio-engineering for Smart Technologies, 2021.
J. Van Houtte, Audenaert, E., Zheng, G., and Sijbers, J., Deep learning-based 2D/3D registration of an atlas to biplanar X-ray images, International Journal of Computer Assisted Radiology and Surgery, vol. 309, pp. 1333–1342, 2022.PDF icon Download paper (3.41 MB)