Lama Hassan

497 total citations
17 papers, 365 citations indexed

About

Lama Hassan is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Lama Hassan has authored 17 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Artificial Intelligence and 4 papers in Molecular Biology. Recurrent topics in Lama Hassan's work include Radiomics and Machine Learning in Medical Imaging (10 papers), AI in cancer detection (5 papers) and COVID-19 diagnosis using AI (3 papers). Lama Hassan is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (10 papers), AI in cancer detection (5 papers) and COVID-19 diagnosis using AI (3 papers). Lama Hassan collaborates with scholars based in Canada, China and France. Lama Hassan's co-authors include Ahmad Chaddad, Christian Desrosiers, Camel Tanougast, Ahmed Bouridane, Matthew Toews, Tamim Niazi, Saima Rathore, Bertrand Liagre, Aline Pinon and Alain Simon and has published in prestigious journals such as PLoS ONE, Experimental Cell Research and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Lama Hassan

17 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 Hassan Canada 11 189 82 52 44 44 17 365
Weina Jin Canada 10 70 0.4× 90 1.1× 11 0.2× 59 1.3× 32 0.7× 22 392
Samuel Guzman United States 6 106 0.6× 93 1.1× 42 0.8× 20 0.5× 43 1.0× 13 234
Felipe Giuste United States 11 82 0.4× 94 1.1× 41 0.8× 225 5.1× 15 0.3× 36 519
Ehab A. AlBadawy United States 8 168 0.9× 177 2.2× 33 0.6× 33 0.8× 6 0.1× 9 331
Sören Richard Stahlschmidt Sweden 2 89 0.5× 119 1.5× 23 0.4× 80 1.8× 20 0.5× 3 354
William Lotter United States 9 125 0.7× 132 1.6× 37 0.7× 22 0.5× 125 2.8× 19 412
Zhihong Chen China 10 68 0.4× 45 0.5× 27 0.5× 24 0.5× 22 0.5× 32 240
Yannick Suter Switzerland 11 213 1.1× 27 0.3× 54 1.0× 45 1.0× 45 1.0× 17 392
Sheeba J. Sujit United States 7 117 0.6× 50 0.6× 31 0.6× 27 0.6× 14 0.3× 10 304
Binbin Ji China 11 93 0.5× 87 1.1× 53 1.0× 151 3.4× 8 0.2× 23 403

Countries citing papers authored by Lama Hassan

Since Specialization
Citations

This map shows the geographic impact of Lama Hassan'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 Hassan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lama Hassan more than expected).

Fields of papers citing papers by Lama Hassan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lama Hassan. 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 Hassan. The network helps show where Lama Hassan may publish in the future.

Co-authorship network of co-authors of Lama Hassan

This figure shows the co-authorship network connecting the top 25 collaborators of Lama Hassan. A scholar is included among the top collaborators of Lama Hassan 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 Hassan. Lama Hassan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
2.
Chaddad, Ahmad, et al.. (2023). A texture-based method for predicting molecular markers and survival outcome in lower grade glioma. Applied Intelligence. 53(21). 24724–24738. 12 indexed citations
3.
Chaddad, Ahmad, et al.. (2023). Deep Survival Analysis With Clinical Variables for COVID-19. IEEE Journal of Translational Engineering in Health and Medicine. 11. 223–231. 4 indexed citations
4.
Chaddad, Ahmad, Michael Jonathan Kucharczyk, Abbas Cheddad, et al.. (2021). Magnetic Resonance Imaging Based Radiomic Models of Prostate Cancer: A Narrative Review. Cancers. 13(3). 552–552. 26 indexed citations
5.
Chaddad, Ahmad, Lama Hassan, & Christian Desrosiers. (2021). Deep CNN models for predicting COVID-19 in CT and x-ray images. Journal of Medical Imaging. 8(S1). 14502–14502. 32 indexed citations
6.
Chaddad, Ahmad, et al.. (2021). Future artificial intelligence tools and perspectives in medicine. Current Opinion in Urology. 31(4). 371–377. 10 indexed citations
7.
Chaddad, Ahmad, Mingli Zhang, Lama Hassan, & Tamim Niazi. (2021). Modeling of Textures to Predict Immune Cell Status and Survival of Brain Tumour Patients. arXiv (Cornell University). 1067–1071. 2 indexed citations
8.
Chaddad, Ahmad, Lama Hassan, & Christian Desrosiers. (2021). Deep Radiomic Analysis for Predicting Coronavirus Disease 2019 in Computerized Tomography and X-Ray Images. IEEE Transactions on Neural Networks and Learning Systems. 33(1). 3–11. 26 indexed citations
9.
Chaddad, Ahmad, Christian Desrosiers, Lama Hassan, & Camel Tanougast. (2017). Hippocampus and amygdala radiomic biomarkers for the study of autism spectrum disorder. BMC Neuroscience. 18(1). 52–52. 80 indexed citations
10.
Pinon, Aline, Lama Hassan, Youness Limami, et al.. (2016). Resistance to 3‐HTMC‐Induced Apoptosis Through Activation of PI3K/Akt, MEK/ERK, and p38/COX‐2/PGE2 Pathways in Human HT‐29 and HCT116 Colorectal Cancer Cells. Journal of Cellular Biochemistry. 117(12). 2875–2885. 33 indexed citations
11.
Chaddad, Ahmad, Christian Desrosiers, Ahmed Bouridane, et al.. (2016). Multi Texture Analysis of Colorectal Cancer Continuum Using Multispectral Imagery. PLoS ONE. 11(2). e0149893–e0149893. 39 indexed citations
12.
Hassan, Lama, Aline Pinon, Youness Limami, et al.. (2016). Resistance to ursolic acid-induced apoptosis through involvement of melanogenesis and COX-2/PGE2 pathways in human M4Beu melanoma cancer cells. Experimental Cell Research. 345(1). 60–69. 16 indexed citations
13.
Chaddad, Ahmad, Christian Desrosiers, Lama Hassan, & Camel Tanougast. (2016). A quantitative study of shape descriptors from glioblastoma multiforme phenotypes for predicting survival outcome. British Journal of Radiology. 89(1068). 20160575–20160575. 37 indexed citations
14.
Chaddad, Ahmad, Ahmed Bouridane, Lama Hassan, & Camel Tanougast. (2016). Wavelet based radiomics for brain tumour phenotypes discrimination. Northumbria Research Link (Northumbria University). 1167–1174. 1 indexed citations
15.
Chaddad, Ahmad, Christian Desrosiers, Lama Hassan, & Matthew Toews. (2016). Multispectral texture analysis of histopathological abnormalities in colorectal tissues. 18. 2628–2632. 2 indexed citations
16.
Hassan, Lama, et al.. (2001). CENTRAL SEROUS CHORIORETINOPATHY IN A PATIENT USING METHYLENEDIOXYMETHAMPHETAMINE (MDMA) OR “ECSTASY”. Retina. 21(5). 559–561. 21 indexed citations
17.
Hassan, Lama & B. Leclercq. (1972). [Alimentary factors favorable to steatosis caused by overeating in chickens].. PubMed. 12(1). 69–76. 2 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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