Isometric Deformation Modelling for Object Recognition. - Dirk Smeets; Thomas Fabry; Jeroen Hermans; Dirk Vandermeulen; Paul Suetens (CAIP, 2009)

SHREC'10 Track: Non-rigid 3D Shape Retrieval. - Zhouhui Lian; Afzal Godil; Thomas Fabry; Takahiko Furuya; Jeroen Hermans; Ryutarou Ohbuchi; Chang Shu 001; Dirk Smeets; Paul Suetens; Dirk Vandermeulen; Stefanie Wuhrer (3DOR@Eurographics, 2010)

Inelastic Deformation Invariant Modal Representation for Non-rigid 3D Object Recognition. - Dirk Smeets; Thomas Fabry; Jeroen Hermans; Dirk Vandermeulen; Paul Suetens (AMDO, 2010)

Feature detection on 3D face surfaces for pose normalisation and recognition. - Chris Maes; Thomas Fabry; Johannes Keustermans; Dirk Smeets; Paul Suetens; Dirk Vandermeulen (BTAS, 2010)

Fusion of an Isometric Deformation Modeling Approach Using Spectral Decomposition and a Region-Based Approach Using ICP for Expression-Invariant 3D Face Recognition. - Dirk Smeets; Thomas Fabry; Jeroen Hermans; Dirk Vandermeulen; Paul Suetens (ICPR, 2010)

Semi-automatic level set segmentation of liver tumors combining a spiral-scanning technique with supervised fuzzy pixel classification. - Dirk Smeets; Dirk Loeckx; Bert Stijnen; Bart De Dobbelaer; Dirk Vandermeulen; Paul Suetens (Medical Image Anal., 2010)

SHREC '11: Robust Feature Detection and Description Benchmark. - Edmond Boyer; Alexander M. Bronstein; Michael M. Bronstein; Benjamin Bustos; Tal Darom; Radu Horaud; Ingrid Hotz; Yosi Keller; Johannes Keustermans; Artiom Kovnatsky; Roee Litman; Jan Reininghaus; et al. (3DOR@Eurographics, 2011)

SHREC '11 Track: Shape Retrieval on Non-rigid 3D Watertight Meshes. - Zhouhui Lian; Afzal Godil; Benjamin Bustos; Mohamed Daoudi; Jeroen Hermans; Shun Kawamura; Yukinori Kurita; Guillaume Lavoué; Hien Van Nguyen; Ryutarou Ohbuchi; Yuki Ohkita; Yuya Ohishi; et al. (3DOR@Eurographics, 2011)

SHREC '11 Track: 3D Face Models Retrieval. - Remco C. Veltkamp; Stefan van Jole; Hassen Drira; Boulbaba Ben Amor; Mohamed Daoudi; Huibin Li; Liming Chen 002; Peter Claes; Dirk Smeets; Jeroen Hermans; Dirk Vandermeulen; Paul Suetens (3DOR@Eurographics, 2011)

Robust point set registration using EM-ICP with information-theoretically optimal outlier handling. - Jeroen Hermans; Dirk Smeets; Dirk Vandermeulen; Paul Suetens (CVPR, 2011)

Dense shape correspondences using spectral high-order graph matching. - Dirk Smeets; Jeroen Hermans; Dirk Vandermeulen; Paul Suetens (CVPR Workshops, 2011)

Symmetric surface-feature based 3D face recognition for partial data. - Dirk Smeets; Johannes Keustermans; Jeroen Hermans; Peter Claes; Dirk Vandermeulen; Paul Suetens (IJCB, 2011)

CT-based robust statistical shape modeling for forensic craniofacial reconstruction. - E. Bruynooghe; Johannes Keustermans; Dirk Smeets; F. Tilotta; Peter Claes; Dirk Vandermeulen (ICDP, 2011)

Automated Cephalometric Landmark Localization Using Sparse Shape and Appearance Models. - Johannes Keustermans; Dirk Smeets; Dirk Vandermeulen; Paul Suetens (MLMI, 2011)

SHREC 2011: robust feature detection and description benchmark - Edmond Boyer; Alexander M. Bronstein; Michael M. Bronstein; Benjamin Bustos; Tal Darom; Radu Horaud; Ingrid Hotz; Yosi Keller; Johannes Keustermans; Artiom Kovnatsky; Roee Litman; Jan Reininghaus; et al. (CoRR, 2011)

Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge. - Keelin Murphy; Bram van Ginneken; Joseph M. Reinhardt; Sven Kabus; Kai Ding 003; Xiang Deng; Kunlin Cao; Kaifang Du; Gary E. Christensen; Vincent Garcia; Tom Vercauteren; Nicholas Ayache; et al. (IEEE Trans. Medical Imaging, 2011)

Feature-based piecewise rigid registration in 2-D medical images. - Dirk Smeets; Johannes Keustermans; Jeroen Hermans; Dirk Vandermeulen; Paul Suetens (ISBI, 2012)

Intra-patient Non-rigid Registration of 3D Vascular Cerebral Images. - David Robben; Dirk Smeets; Daniel Ruijters; McElory Hoffmann; Laura Antanas; Frederik Maes; Paul Suetens (CLIP, 2012)

Isometric deformation invariant 3D shape recognition. - Dirk Smeets; Jeroen Hermans; Dirk Vandermeulen; Paul Suetens (Pattern Recognit., 2012)

A Comparative Study of 3-D Face Recognition Under Expression Variations. - Dirk Smeets; Peter Claes; Jeroen Hermans; Dirk Vandermeulen; Paul Suetens (IEEE Trans. Syst. Man Cybern. Part C, 2012)

meshSIFT: Local surface features for 3D face recognition under expression variations and partial data. - Dirk Smeets; Johannes Keustermans; Dirk Vandermeulen; Paul Suetens (Comput. Vis. Image Underst., 2013)

A comparison of methods for non-rigid 3D shape retrieval. - Zhouhui Lian; Afzal Godil; Benjamin Bustos; Mohamed Daoudi; Jeroen Hermans; Shun Kawamura; Yukinori Kurita; Guillaume Lavoué; Hien Van Nguyen; Ryutarou Ohbuchi; Yuki Ohkita; Yuya Ohishi; et al. (Pattern Recognit., 2013)

Patch based super-resolution of MR spectroscopic images. - Saurabh Jain; Diana Maria Sima; Faezeh Sanaei Nezhad; Steve Williams; Sabine Van Huffel; Frederik Maes; Dirk Smeets (ISBI, 2016)

Unsupervised Framework for Consistent Longitudinal MS Lesion Segmentation. - Saurabh Jain; Annemie Ribbens; Diana Maria Sima; Sabine Van Huffel; Frederik Maes; Dirk Smeets (MCV/BAMBI@MICCAI, 2016)

Thalamic Nuclei Segmentation Using Tractography, Population-Specific Priors and Local Fibre Orientation. - Carla Semedo; M. Jorge Cardoso; Sjoerd B. Vos; Carole H. Sudre; Martina Bocchetta; Annemie Ribbens; Dirk Smeets; Jonathan D. Rohrer; Sébastien Ourselin (MICCAI (3), 2018)

High-resolution metabolic mapping of gliomas via patch-based super-resolution magnetic resonance spectroscopic imaging at 7T. - Gilbert Hangel; Saurabh Jain; Elisabeth Springer; Eva Heckova; Bernhard Strasser; Michal Povazan; Stephan Gruber; Georg Widhalm; Barbara Kiesel; Julia Furtner; Matthias Preusser; Thomas Roetzer; et al. (NeuroImage, 2019)

Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients. - Sofie Tilborghs; Ine Dirks; Lucas Fidon; Siri Willems; Tom Eelbode; Jeroen Bertels; Bart Ilsen; Arne Brys; Adriana Dubbeldam; Nico Buls; Panagiotis Gonidakis; Sebastián Amador Sánchez; et al. (CoRR, 2020)

Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging. - Abel Díaz Berenguer; Hichem Sahli; Boris Joukovsky; Maryna Kvasnytsia; Ine Dirks; Mitchel Alioscha-Pérez; Nikos Deligiannis; Panagiotis Gonidakis; Sebastián Amador Sánchez; Redona Brahimetaj; Evgenia Papavasileiou; Jonathan Cheung-Wai Chan; et al. (CoRR, 2020)