Chaire de recherche du Canada en interventions assistées et imagerie médicale

Contactez-nous

Téléphone
(514) 340-4711 poste 4262

Courriel
samuel.kadoury@polymtl.ca

2015

Chapitres de livre

  • Kadoury S. Three-dimensional spine reconstruction from radiographs. In: Li S., Yao J. (eds) Spinal Imaging and Image Analysis. Lecture Notes in Computational Vision and Biomechanics, 2015, vol 18, 159-191, Springer, Cham. DOI: https://doi.org/10.1007/978-3-319-12508-4_6.
  • Thong WE, Labelle H, Shen J, Parent S, et Kadoury S. Stacked auto-encoders for classification of 3D spine models in adolescent idiopathic scoliosis. In: Yao J, Glocker B, Klinder T, et Li S. (eds) Recent advances in computational methods and clinical applications for spine imaging. Lecture Notes in Computational Vision and Biomechanics, 2015, vol 20. Springer, Cham, DOI: https://doi.org/10.1007/978-3-319-14148-0_2.
  • Shakeri M, Lombaert H, et Kadoury S. Classification of Alzheimer’s disease using discriminant manifolds of hippocampus shapes. In: Bhatia K, Lombaert H. (eds) Machine learning meets medical imaging. MLMMI 2015. Lecture Notes in Computer Science, 2015, vol 9487. Springer, Cham, 65-73, DOI: https://doi.org/10.1007/978-3-319-27929-9_7.

Journaux

  • Kadoury S, Vorontsov E, et Tang A. Metastatic liver tumor segmentation using discriminant Grassmannian manifolds. Physics in Biology and Medicine. 2015, 60(16), 6459-78.
  • De Leener B, Cohen-Adad J, et Kadoury S. Automatic Segmentation of the spinal cord and spinal canal coupled with vertebral labeling. IEEE Transactions in Medical Imaging. 2015, 34(8), 1705-18.

Conférences

  • Thong W, Kadoury S, Piché N, et Pal C. Convolutional Networks for Kidney Segmentation in contrast-enhanced CT Scans. In Proc. Int’l Conf. Medical Image Computing and Computer-Assisted Intervention (MICCAI) – DLMIA workshop, Munich, Allemagne, octobre 2015.
  • Thong W, Labelle H, Shen J, Parent S, et Kadoury S. Stacked auto-encoders for classification of 3D spine models in adolescent idiopathic scoliosis. In Proc. 17th Int’l Conf. MICCAI - CSI workshop, Boston, États-Unis, septembre 2015, vol. 20, 13-25.
  • Shakeri M, Lombaert H, et Kadoury S. Classification of Alzheimer's disease using discriminant manifolds of hippocampus shapes. In Proc. Int'l Conf. on Machine Learning - ICML 2015, Lille, France, juillet 2015, vol. 9487.
  • Mandal KK, Parent F, Martel S, Kashyap R, et Kadoury S. Calibration of a needle tracking device with fiber Bragg grating sensors. In Proc. SPIE Medical Imaging, Orlando, États-Unis, février 2015, vol. 9415, 8, DOI: 10.1117/12.2081198.

Autres

  • Wu J, Parent S, Aubin C-E, Kadoury S, Newton P, Lenke L, Lafage V, et Labelle H. Towards a new 3D classification for adolescent idiopathic scoliosis (AIS): 3D subgroups derived from a consensus approach from members of the SRS 3D taskforce, Scoliosis Research Society, Minneapolis, États-Unis, septembre 2015.
  • Lim PH, Bilello M, et Kadoury S. A Grassmannian framework for classification between mild cognitive impairment and Alzheimer's disease. Human Brain Mapping. Honolulu, États-Unis, juin 2015.
  • Parent F, Mandal KK, Kadoury S, et Kashyap R. Real-time 3D reconstruction of catheter shape using FBGs based sensors. In Proc. SPIE Photonics West, Honolulu, États-Unis, février 2015.
  • Abi-Jaoudeh N, Li M, Kadoury S, Kapoor A, Noordhoek NJ, Radaelli AG, Carelsen B, et Wood BJ. Imaging thermometry. US Patent App. 14/396,064.