I am a PhD student at the Intelligent Sensory Information Systems lab of the University of Amsterdam, under the supervision of Arnold Smeulders and Cees Snoek.

Previously, I received a B.Eng and an M.Sc in Biomedical Engineering from Polytechnique Montréal. I completed my Master’s thesis under the supervision of Samuel Kadoury (MedICAL lab) and Chris Pal (Mila) on the classification of biomedical images with deep learning. I also received an M2 in Bioimaging (BME-Paris) from Télécom ParisTech.

My research mainly involves image similarity and image retrieval using deep learning.

[Github] [Google Scholar]


  1. Convolutional networks for kidney segmentation in contrast-enhanced CT scans Thong, W., Kadoury, S., Piché, N., and Pal, C.J. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization 2018 [Abs] [HTML]
  2. Three-dimensional morphology study of surgical adolescent idiopathic scoliosis patient from encoded geometric models Thong, W., Parent, S., Wu, J., Aubin, C.-E., Labelle, H., and Kadoury, S. European Spine Journal 2016 [Abs] [HTML]
  3. Stacked auto-encoders for classification of 3d spine models in adolescent idiopathic scoliosis Thong, W., Labelle, H., Shen, J., Parent, S., and Kadoury, S. Recent Advances in Computational Methods and Clinical Applications for Spine Imaging 2015 [Abs] [HTML]
  4. Automatic labeling of vertebral levels using a robust template-based approach Ullmann, E., Pelletier Paquette, J.F.*, Thong, W.*, and Cohen-Adad, J. Journal of Biomedical Imaging 2014 [Abs] [HTML]
  5. Spinal Cord Toolbox: an open-source framework for processing spinal cord MRI data Cohen-Adad, J., De Leener, B., Benhamou, M., Cadotte, D., Fleet, D., Cadotte, A., Fehlings, M.G., Pelletier Paquette, J.P., Thong, W., Taso, M., Collins, L., Callot, V., and Fonov, V. In Proceedings of the 20th Annual Meeting of OHBM, Hamburg, Germany 2014 [HTML]