Research output per year
Research output per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Doctor of Philosophy, A Novel Inpainting Framework for Virtual View Synthesis
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Dive into the research topics where Smarti Reel is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Disclosure control of machine learning models from trusted research environments (TRE): New challenges and opportunities
Mansouri-Benssassi, E., Rogers, S., Reel, S., Malone, M., Smith, J., Ritchie, F. & Jefferson, E., Apr 2023, In: Heliyon. 9, 4, 11 p., e15143.Research output: Contribution to journal › Review article › peer-review
Open AccessFile6 Downloads (Pure) -
Analyse du profil de méthylation du sang total pour discriminer l’hypertension endocrine
Armignacco, R., Reel, P. S., Reel, S., Jouinot, A., Septier, A., Gaspar, C., Perlemoine, K., Larsen, C. K., Bouys, L., Braun, L., Riester, A., Kroiss, M., Bonnet-Serrano, F., Amar, L., Blanchard, A., Gimenez-Roqueplo, A. P., Prejbisz, A., Januszewicz, A., Dobrowolski, P., Rossi, G. P., & 12 others, 24 Sept 2022, In: Annales d'Endocrinologie. 83, 5, p. 297 1 p.Research output: Contribution to journal › Article › peer-review
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Collection of tools and resources for managing the statistical disclosure control of trained machine learning models
Jefferson, E. & Reel, S., 21 Sept 2022, GitHub.Research output: Other contribution
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GRAIMATTER Green Paper: Recommendations for disclosure control of trained Machine Learning (ML) models from Trusted Research Environments (TREs)
Jefferson, E., Reel, S., Crespi Boixader, A., Roche, M., Mansouri-Benssassi, E., Beggs, J., Chuter, A., Cole, C., Ritchie, F., Daly, A., Smith, J., Liley, J., Kerasidou, K., Tava, F., McCarthy, A., Preen, R., Blanco-Justicia, A., Mansouri-Benssassi, E., Domingo-Ferrer, J., Rogers, S., & 1 others, 21 Sept 2022, Zenodo: DARE UK. 99 p.Research output: Book/Report › Other report
Open AccessFile50 Downloads (Pure) -
Machine learning for classification of hypertension subtypes using multi-omics: A multi-centre, retrospective, data-driven study
Reel, P. S., Reel, S., van Kralingen, J. C., Langton, K., Lang, K., Erlic, Z., Larsen, C. K., Amar, L., Pamporaki, C., Mulatero, P., Blanchard, A., Kabat, M., Robertson, S., MacKenzie, S. M., Taylor, A. E., Peitzsch, M., Ceccato, F., Scaroni, C., Reincke, M., Kroiss, M., & 22 others, Oct 2022, In: EBioMedicine. 84, 16 p., 104276.Research output: Contribution to journal › Article › peer-review
Open AccessFile5 Citations (Scopus)21 Downloads (Pure)
Activities
- 1 Public engagement and outreach - media article or participation
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GRAIMATTER Public Summary: Recommendations for disclosure control of trained Machine Learning (ML) models from Trusted Research Environments (TREs)
Emily Jefferson (Member), Felix Ritchie (Member), Jillian Beggs (Member), Antony Chuter (Member), Smarti Reel (Member), Alba Crespi Boixader (Member), Francesco Tava (Member), Esma Mansouri-Benssassi (Member), Maeve Malone (Member), Christian Cole (Member), Angela Daly (Member), Simon Rogers (Member) & Jim Smith (Member)
21 Sept 2022Activity: Other activity types › Public engagement and outreach - media article or participation
Press/Media
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Researchers develop new system to classify endocrine hypertension
Parminder Reel, Smarti Reel & Emily Jefferson
12/10/22
1 item of Media coverage
Press/Media: Research