Lama Séoud

550 total citations
16 papers, 377 citations indexed

About

Lama Séoud is a scholar working on Surgery, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Lama Séoud has authored 16 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Lama Séoud's work include Scoliosis diagnosis and treatment (6 papers), Retinal Imaging and Analysis (4 papers) and Medical Imaging and Analysis (4 papers). Lama Séoud is often cited by papers focused on Scoliosis diagnosis and treatment (6 papers), Retinal Imaging and Analysis (4 papers) and Medical Imaging and Analysis (4 papers). Lama Séoud collaborates with scholars based in Canada, United States and Romania. Lama Séoud's co-authors include Farida Chériet, J. M. Pierre Langlois, Thomas Hurtut, Hubert Labelle, J. Dansereau, Stefan Parent, Mathias M. Adankon, Jean Dansereau, Julie Joncas and Philippe Jouvet and has published in prestigious journals such as Spine, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Medical Imaging.

In The Last Decade

Lama Séoud

16 papers receiving 356 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lama Séoud Canada 9 291 214 157 68 55 16 377
Gilberto Zamora United States 11 254 0.9× 204 1.0× 132 0.8× 17 0.3× 54 1.0× 34 360
Katia Charrière France 8 335 1.2× 247 1.2× 189 1.2× 65 1.0× 39 0.7× 15 462
Sonja Karst Austria 14 320 1.1× 310 1.4× 46 0.3× 12 0.2× 41 0.7× 24 430
Fedra Hajizadeh Iran 16 575 2.0× 557 2.6× 193 1.2× 38 0.6× 211 3.8× 29 776
Uğur Şevik Türkiye 6 253 0.9× 179 0.8× 116 0.7× 16 0.2× 21 0.4× 9 317
K. Prabhakar Nayak India 7 286 1.0× 228 1.1× 178 1.1× 12 0.2× 33 0.6× 11 336
Pengxiao Zang United States 14 433 1.5× 353 1.6× 64 0.4× 25 0.4× 181 3.3× 22 532
Pavle Prentašić Croatia 7 383 1.3× 281 1.3× 218 1.4× 9 0.1× 44 0.8× 12 428
Doug M. Baughman United States 2 402 1.4× 310 1.4× 81 0.5× 10 0.1× 86 1.6× 4 444
Ole Vilhelm Larsen Denmark 6 187 0.6× 147 0.7× 126 0.8× 28 0.4× 35 0.6× 19 268

Countries citing papers authored by Lama Séoud

Since Specialization
Citations

This map shows the geographic impact of Lama Séoud's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lama Séoud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lama Séoud more than expected).

Fields of papers citing papers by Lama Séoud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lama Séoud. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lama Séoud. The network helps show where Lama Séoud may publish in the future.

Co-authorship network of co-authors of Lama Séoud

This figure shows the co-authorship network connecting the top 25 collaborators of Lama Séoud. A scholar is included among the top collaborators of Lama Séoud based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lama Séoud. Lama Séoud is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Zargarbashi, S.H.H., et al.. (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. 6 indexed citations
2.
Chériet, Farida, et al.. (2024). Changes in trunk appearance following surgical correction of adolescent idiopathic scoliosis. Spine Deformity. 12(4). 1071–1077. 1 indexed citations
3.
Jouvet, Philippe, et al.. (2024). SwinFuSR: an image fusion-inspired model for RGB-guided thermal image super-resolution. PolyPublie (École Polytechnique de Montréal). 3027–3036. 3 indexed citations
4.
Séoud, Lama, et al.. (2024). Multimodal HCI: a review of computational tools and their relevance to the detection of sexual presence. AHFE international. 1 indexed citations
5.
Séoud, Lama, et al.. (2019). Training a CNN to robustly segment the human body parts in range image sequences. NPARC. 1. 15–15. 1 indexed citations
6.
Séoud, Lama, Soraya Barchi, Farida Chériet, et al.. (2017). Assessment of Breast Asymmetry in Adolescent Idiopathic Scoliosis Using an Automated 3D Body Surface Measurement Technique. Spine Deformity. 5(3). 152–158. 11 indexed citations
7.
Séoud, Lama, et al.. (2017). A novel fully automatic measurement of apparent breast volume from trunk surface mesh. Medical Engineering & Physics. 41(1). 46–54. 7 indexed citations
8.
Séoud, Lama, et al.. (2016). Automatic Screening and Grading of Age-Related Macular Degeneration from Texture Analysis of Fundus Images. Journal of Ophthalmology. 2016. 1–11. 34 indexed citations
9.
Séoud, Lama, Farida Chériet, Hubert Labelle, & Stefan Parent. (2015). Changes in Trunk Appearance After Scoliosis Spinal Surgery and Their Relation to Changes in Spinal Measurements. Spine Deformity. 3(6). 595–603. 10 indexed citations
10.
Séoud, Lama, et al.. (2015). Automatic Grading of Diabetic Retinopathy on a Public Database. NPARC. 97–104. 32 indexed citations
11.
Séoud, Lama, et al.. (2015). Red Lesion Detection Using Dynamic Shape Features for Diabetic Retinopathy Screening. IEEE Transactions on Medical Imaging. 35(4). 1116–1126. 205 indexed citations
12.
Séoud, Lama, et al.. (2014). Automatic detection of microaneurysms and haemorrhages in fundus images using dynamic shape features. National Research Council Canada (Government of Canada). 101–104. 13 indexed citations
13.
Séoud, Lama, Jean Dansereau, Hubert Labelle, & Farida Chériet. (2012). Multilevel Analysis of Trunk Surface Measurements for Noninvasive Assessment of Scoliosis Deformities. Spine. 37(17). E1045–E1053. 11 indexed citations
14.
Séoud, Lama, J. Dansereau, Hubert Labelle, & Farida Chériet. (2012). Noninvasive Clinical Assessment of Trunk Deformities Associated With Scoliosis. IEEE Journal of Biomedical and Health Informatics. 17(2). 392–401. 7 indexed citations
15.
Séoud, Lama, Mathias M. Adankon, Hubert Labelle, J. Dansereau, & Farida Chériet. (2010). Prediction of scoliosis curve type based on the analysis of trunk surface topography. NPARC. 408–411. 19 indexed citations
16.
Séoud, Lama, Farida Chériet, Hubert Labelle, & J. Dansereau. (2009). 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. 16 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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