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Lama SéoudDepartment of Computer Engineering and Software Engineering
Profile in the Directory of Experts of Polytechnique Montréal
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Arnold, C., Jouvet, P., & Séoud, L. (2024, June). SwinFuSR: an image fusion-inspired model for RGB-guided thermal image super-resolution [Paper]. IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Seattle, WA, USA. External link
Ceglia, A., Facon, K., Begon, M., & Séoud, L. (2024). Real-time, accurate, and open source upper-limb musculoskeletal analysis using a single RGBD camera — An exploratory hand-cycling study. Computers in Biology and Medicine, 184, 109434 (11 pages). External link
Caron, R., Séoud, L., Londoño, 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). External link
Drouin, M.-A., & Séoud, L. (2020). Consumer-Grade RGB-D Cameras. In Liu, Y., Pears, N., Rosin, P. L., & Huber, P. (eds.), 3D Imaging, Analysis and Applications (pp. 215-264). External link
Galaup, C. J. P., Séoud, L., & Renaud, P. (2024, February). Multimodal HCI: a review of computational tools and their relevance to the detection of sexual presence [Paper]. Intelligent Human Systems Integration (IHSI 2024), Palermo, Italy. Published in AHFE international, (119). External link
Gan, Q., Séoud, L., Ben Tahar, H., & Langlois, J. M. P. (2016, April). Memory efficient and constant time 2D-recursive spatial averaging filter for embedded implementations [Paper]. Real-Time Image and Video Processing 2016, part of Photonics Europe 2016, Brussels, Belgium. External link
Hubert, C. J., Odic, N., Noel, M., Gharib, S., Zargarbashi, S. H. H., & Séoud, L. (2025). MuViH: Multi-View Hand gesture dataset and recognition pipeline for human–robot interaction in a collaborative robotic finishing platform. Robotics and Computer-Integrated Manufacturing, 94, 102957-102957. External link
Hubert, C., Odic, N., Noël, M., Gharib, S., Debanné, P., Séoud, L., & Zargarbashi, S. (2025). MuViH: Multi-View Hand gesture dataset for hand and gesture recognition [Dataset]. External link
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. External link
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. Available
Roy, P. R., Bilodeau, G.-A., & Séoud, L. (2021, January). Local Anomaly Detection in Videos Using Object-Centric Adversarial Learning [Paper]. ICPR International Conference on Pattern Recognition. External link
Roy, P. R., Bilodeau, G.-A., & Séoud, L. (2021, July). Predicting next local appearance for video anomaly detection [Paper]. 17th International Conference on Machine Vision Applications (MVA 2021), Aichi, Japan (5 pages). External link
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. External link
Séoud, L., Boisvert, J., Drouin, M.-A., Picard, M., & Godin, G. (2018, September). Increasing the Robustness of CNN-Based Human Body Segmentation in Range Images by Modeling Sensor-Specific Artifacts [Paper]. European Conference on Computer Vision (ECCV 2018 Workshops), Munich, Germany. External link
Séoud, L., Boisvert, J., Drouin, M.-A., Picard, M., & Guy Godin, G. (2019, February). Training a CNN to robustly segment the human body parts in range image sequences [Paper]. SPIE OPTO 2019, San Francisco, California, United States. External link
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. External link
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. External link
Séoud, L., Chelbi, J., & Cheriet, F. (2015, October). Automatic Grading of Diabetic Retinopathy on a Public Database [Paper]. Ophthalmic Medical Image Analysis International Workshop (OMIA 2015), Munich, Germany. External link
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. External link
Séoud, L., Faucon, T., Hurtut, T., Chelbi, J., Cheriet, F., & Langlois, J. M. P. (2014, April). Automatic detection of microaneurysms and haemorrhages in fundus images using dynamic shape features [Paper]. 11th IEEE International Symposium on Biomedical Imaging (ISBI 2014), Beijing, China. External link
Séoud, L., Cheriet, F., Labelle, H., & Parent, S. (2013, February). Non-invasive quantitative assessment of scoliosis spinal surgery outcome [Paper]. Medical Imaging 2013: Biomedical Applications in Molecular, Structural, and Functional Imaging, Lake Buena Vista, FL, United states (7 pages). External link
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. External link
Séoud, L. (2012). Analyse de la relation entre les déformations scoliotiques du tronc et celles des structures osseuses sous-jacentes [Ph.D. thesis, École Polytechnique de Montréal]. Available
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. External link
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. External link
Séoud, L., Adankon, M. M., Labelle, H., Dansereau, J., & Cheriet, F. (2010, April). Prediction of scoliosis curve type based on the analysis of trunk surface topography [Paper]. 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Rotterdam, The Netherlands. External link
Séoud, L., Adankon, M. M., Labelle, H., Dansereau, J., & Cheriet, F. (2010, June). Towards Non Invasive Diagnosis of Scoliosis Using Semi-Supervised Learning Approach [Paper]. 7th International Conference Image Analysis and Recognition (ICIAR 2010), Povoa de Varzim, Portugal. External link
Tranchon, A., Kunz, M., & Séoud, L. (2024, May). Preoperative MRI Whole-Vertebrae Segmentation in Patients with Severe Adolescent Idiopathic Scoliosis [Paper]. IEEE International Symposium on Biomedical Imaging (ISBI), Athens, Greece. External link
Thanh Van, P., Séoud, L., & Cheriet, F. (2015, July). Towards an Automatic Clinical Classification of Age-Related Macular Degeneration [Paper]. 12th International Conference on Image Analysis and Recognition (ICIAR 2015), Niagara Falls, ON, Canada. External link
