<  Retour au portail Polytechnique Montréal

Documents dont l'auteur est "Séoud, Lama"

Monter d'un niveau
Pour citer ou exporter [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Nombre de documents: 21

Khani, M., Cheriet, F., Séoud, L., Debanné, P., Parent, S., & Labelle, H. (2024). Changes in trunk appearance following surgical correction of adolescent idiopathic scoliosis. Spine Deformity. Lien externe

Caron, R., Séoud, L., Londono, I., & Villemure, I. (2023). Segmentation of trabecular bone microdamage in Xray microCT images using a two-step deep learning method. Journal of the Mechanical Behavior of Biomedical Materials, 137, 105540 (9 pages). Lien externe

Roy, P. R., Bilodeau, G.-A., & Séoud, L. (juillet 2021). Predicting next local appearance for video anomaly detection [Communication écrite]. 17th International Conference on Machine Vision Applications (MVA 2021), Aichi, Japan (5 pages). Lien externe

Séoud, L., Boisvert, J., Drouin, M.-A., Picard, M., & Godin, G. (septembre 2018). Increasing the Robustness of CNN-Based Human Body Segmentation in Range Images by Modeling Sensor-Specific Artifacts [Communication écrite]. European Conference on Computer Vision (ECCV 2018 Workshops), Munich, Germany. Lien externe

Séoud, L., Boisvert, J., Drouin, M.-A., Picard, M., & Guy Godin, G. (février 2019). Training a CNN to robustly segment the human body parts in range image sequences [Communication écrite]. SPIE OPTO 2019, San Francisco, California, United States. Lien externe

Ramsay, J., Séoud, L., Barchi, S., Cheriet, F., Joncas, J., Turgeon, I., Debanné, P., Trop, I., Labelle, H., & Parent, S. (2017). Assessment of Breast Asymmetry in Adolescent Idiopathic Scoliosis Using an Automated 3D Body Surface Measurement Technique. Spine Deformity, 5(3), 152-158. Lien externe

Séoud, L., Ramsay, J., Parent, S., & Cheriet, F. (2017). A novel fully automatic measurement of apparent breast volume from trunk surface mesh. Medical Engineering & Physics, 41, 46-54. Lien externe

Phan, T. V., Séoud, L., Chakor, H., & Cheriet, F. (2016). Automatic screening and grading of age-related macular degeneration from texture analysis of fundus images. Journal of Ophthalmology, 2016, 1-11. Disponible

Gan, Q., Séoud, L., Ben Tahar, H., & Langlois, J. M. P. (avril 2016). Memory efficient and constant time 2D-recursive spatial averaging filter for embedded implementations [Communication écrite]. Real-Time Image and Video Processing 2016, part of Photonics Europe 2016, Brussels, Belgium. Lien externe

Séoud, L., Hurtut, T., Chelbi, J., Cheriet, F., & Langlois, J. M. P. (2016). Red lesion detection using dynamic shape features for diabetic retinopathy screening. IEEE Transactions on Medical Imaging, 35(4), 1116-1126. Lien externe

Séoud, L., Chelbi, J., & Cheriet, F. (octobre 2015). Automatic Grading of Diabetic Retinopathy on a Public Database [Communication écrite]. Ophthalmic Medical Image Analysis International Workshop (OMIA 2015), Munich, Germany. Lien externe

Séoud, L., Cheriet, F., Labelle, H., & Parent, S. (2015). Changes in Trunk Appearance After Scoliosis Spinal Surgery and Their Relation to Changes in Spinal Measurements. Spine Deformity, 3(6), 595-603. Lien externe

Thanh Van, P., Séoud, L., & Cheriet, F. (juillet 2015). Towards an Automatic Clinical Classification of Age-Related Macular Degeneration [Communication écrite]. 12th International Conference on Image Analysis and Recognition (ICIAR 2015), Niagara Falls, ON, Canada. Lien externe

Séoud, L., Faucon, T., Hurtut, T., Chelbi, J., Cheriet, F., & Langlois, J. M. P. (avril 2014). Automatic detection of microaneurysms and haemorrhages in fundus images using dynamic shape features [Communication écrite]. 11th IEEE International Symposium on Biomedical Imaging (ISBI 2014), Beijing, China. Lien externe

Séoud, L., Cheriet, F., Labelle, H., & Parent, S. (février 2013). Non-invasive quantitative assessment of scoliosis spinal surgery outcome [Communication écrite]. Medical Imaging 2013: Biomedical Applications in Molecular, Structural, and Functional Imaging, Lake Buena Vista, FL, United states (7 pages). Lien externe

Séoud, L., Dansereau, J., Labelle, H., & Cheriet, F. (2013). Noninvasive Clinical Assessment of Trunk Deformities Associated With Scoliosis. IEEE Journal of Biomedical and Health Informatics, 17(2), 392-401. Lien externe

Séoud, L. (2012). Analyse de la relation entre les déformations scoliotiques du tronc et celles des structures osseuses sous-jacentes [Thèse de doctorat, École Polytechnique de Montréal]. Disponible

Séoud, L., Dansereau, J., Labelle, H., & Cheriet, F. (2012). Multilevel Analysis of Trunk Surface Measurements for Noninvasive Assessment of Scoliosis Deformities. Spine, 37(17), E1045-E1053. Lien externe

Séoud, L., Cheriet, F., Labelle, H., & Dansereau, J. (2011). A novel method for the 3-D reconstruction of scoliotic ribs from frontal and lateral radiographs. IEEE Transactions on Biomedical Engineering, 58(5), 1135-1146. Lien externe

Séoud, L., Adankon, M. M., Labelle, H., Dansereau, J., & Cheriet, F. (avril 2010). Prediction of scoliosis curve type based on the analysis of trunk surface topography [Communication écrite]. 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Rotterdam, The Netherlands. Lien externe

Séoud, L., Adankon, M. M., Labelle, H., Dansereau, J., & Cheriet, F. (juin 2010). Towards Non Invasive Diagnosis of Scoliosis Using Semi-Supervised Learning Approach [Communication écrite]. 7th International Conference Image Analysis and Recognition (ICIAR 2010), Povoa de Varzim, Portugal. Lien externe

Liste produite: Wed May 1 04:51:20 2024 EDT.