Lama Séoud
Dipl. Ing., M.A.Sc., Ph.D.
Assistant Professor
Department of Computer Engineering and Software Engineering
Department of Computer Engineering and Software Engineering
Research interests and affiliations
Research interests
- 3D imaging and analysis
- Human motion analysis
- Medical image computing
- Computer vision
- Machine learning
Affiliation(s)
- Centre de recherche du CHU Sainte Justine, Researcher
- Regroupement de recherche en intelligence artificielle appliquée aux enfants gravement malades, Co-investigator
- Institut de génie biomédical, Member
- Institut de génie biomédical, Member
- Institut Transmedtech, Member
Expertise type(s) (NSERC subjects)
- 1901 Biomedical technology
- 2603 Computer vision
- 2605 Pattern analysis and machine intelligence
- 2708 Image and video processing
Publications
Recent publications
Journal article
Conference paper
Conference paper
Conference paper
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).
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).
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.
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.
See all publications (20)
Biography
After her PhD in 2012, Lama Seoud completed a postdoctoral fellowship in industry at Diagnos Inc, which she later joined as a researcher. She worked on computer-aided diagnosis of retinal pathologies. In 2016, she joined the computer vision and computer graphics research team at the National Research Council of Canada (NRC) in Ottawa. She worked for 3 years on the integration of deep learning with the acquisition and analysis of 3D data sequences, including human subjects in motion. Based on these experiences, her current research program at Polytechnique is in the areas of computer vision (capture and analysis of human pose and motion for medical, multimedia and industrial applications) and computational medical imaging (computer-aided diagnosis). Through her projects, she collaborates closely with clinicians (intensivists, pathologists, physiotherapists, surgeons and orthopedists), industrial partners and artists (circus and music).
Teaching
INF1010 - Object-oriented programming
INF8725 – Signal and image processing
INF8801A - Multimedia applications
Education
- Ph.D. in biomedical engineering, Polytechnique Montreal, Canada
- Master in biomedical engineering, Polytechnique Montreal, Canada
- Diploma in biomedical engineering, École Supérieure d’Ingénieurs de Beyrouth, Saint Joseph University, Lebanon
Supervision at Polytechnique
IN PROGRESS
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Ph.D. (3)
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Roy, Pankaj Raj. Anomaly recognition in surveillance videos using neural networks.
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Asaran Darban, Alaleh. Gesture recognition for interactive platforms of manufacturing process.
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Ceglia, Amedeo. Real-time estimation of muscle forces during an arm pedaling movement by optimization and computer vision for application to rehabilitation.
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Master (thesis) (14)
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Baumstimler, Philippe.
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Lescarbeault, Étienne.
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Arnold, Cyprien.
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Zrouki, Doha. Automatic analysis of slit lamp images of the anterior segment of the eye.
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Faure, Gaspar. Automatic analysis of histological images of the placenta by deep learning.
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Hubert, Corentin. Hand gesture recognition for interactive manufacturing process platforms.
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Rodet, Hugo. Infant pose estimation in the pediatric intensive care unit using unsupervised learning.
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Ebrahimi, Ghazal. Exercice de physiothérapie assisté par ordinateur pour le traitement de la scoliose.
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Tranchon, Antonin. Multimodal 3D spine segmentation for surgery assistance in adolescent idiopathic scoliosis.
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Badawy, Youmna. Weakly supervised anomaly detection pipeline for placental histology images.
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Asmar, Mark. A Vision-Based Automatic Transcription of Guitar Music from RGBD Videos.
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Cherni, Ghassen. Multimodal deep learning for in-bed human pose estimation.
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Caron, Rodrigue. Development of a 3D ex vivo platform for the evaluation of micro-damage, strain fields and mechanical properties in trabecular bone.
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Desclaux, Olivier. Protocol for creating a multimodal 3D pose estimation database of children in the intensive care unit.
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COMPLETED
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Master's Thesis (7)
- Tranchon, A. (2023). Vers un suivi non-irradiant de la courbure rachidienne pour l'assistance à la chirurgie correctrice de la scoliose [Master's thesis, Polytechnique Montréal].
- Asmar, M. (2022). A Computer Vision-Based Automatic Transcription of Guitar Music from RGBD Videos [Master's thesis, Polytechnique Montréal].
- Badawy, Y. (2022). Weakly Supervised Anomaly Detection Pipeline for Histology Images of Placental Villi [Master's thesis, Polytechnique Montréal].
- Caron, R. (2022). Towards the Development of a 3D ex Vivo Platform for the Evaluation of Micro-Damage, Strain Fields and Mechanical Properties in Trabecular Bone [Master's thesis, Polytechnique Montréal].
- Cherni, G. (2022). Apprentissage profond multimodal pour l'estimation de pose d'humains alités [Master's thesis, Polytechnique Montréal].
- Desclaux, O. (2022). Protocole pour la création d'une base de données multimodale d'estimation de pose 3D d'enfants en salle de soins intensifs [Master's thesis, Polytechnique Montréal].
- Phan, T. V. (2015). Développement et validation d'un système automatique de classification de la dégénérescence maculaire liée à l'âge [Master's thesis, École Polytechnique de Montréal].
