Research output per year
Research output per year
Personal profile
Research areas
Data Science, Epidemiology, Prognostic models, Biostatistics, Mathematical Modelling, Population studies
Diabetes, Cancer screening (prostate, breast, colorectal), Cardiovascular events, Liver diseases, Preeclampsia, Respiratory health
Screening, Early detection, Prediction
Medical Informatics, mHealth, Mobile Health
Environmental Epidemiology, Air Quality, Noise pollution, Atmospheric Pollution, Health Risk Assessment, Quality of Life Research
Environmental Epidemiology, Air Quality, Noise pollution, Atmospheric Pollution, Health Risk Assessment, Quality of Life Research
Research information
Data Science, Epidemiology, Prognostic models, Biostatistics, Mathematical Modelling, Population studies
Diabetes, Cancer screening (prostate, breast, colorectal), Cardiovascular events, Liver diseases, Preeclampsia, Respiratory health
Screening, Early detection, Prediction
Medical Informatics, mHealth, Mobile Health
Environmental Epidemiology, Air Quality, Noise pollution, Atmospheric Pollution, Health Risk Assessment, Quality of Life Research
Environmental Epidemiology, Air Quality, Noise pollution, Atmospheric Pollution, Health Risk Assessment, Quality of Life Research
Fingerprint
Fingerprints are formed from scientific publications and create an index of weighted keyword concepts for each individual researcher.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Research output
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Artificial intelligence outperforms standard blood-based scores in identifying liver fibrosis patients in primary care
Blanes-Vidal, V., Lindvig, K. P., Thiele, M., Nadimi, E. S. & Krag, A., 21. Feb 2022, In: Scientific Reports. 12, 11 p., 2914.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile16 Downloads (Pure) -
Invisible Color Variations of Facial Erythema: A Novel Early Marker for Diabetic Complications?
Blanes-Vidal, V., Majtner, T., Avendaño-Valencia, L. D., Yderstræde, K. B. & S. Nadimi, E., 2019, In: Journal of Diabetes Research. 2019, 7 p., 4583895.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile104 Downloads (Pure) -
Capsule endoscopy vs. colonoscopy vs. histopathology in colorectal cancer screening: matched analyses of polyp size, morphology, and location estimates
Blanes-Vidal, V., S. Nadimi, E., Buijs, M. & Baatrup, G., Sept 2018, In: International Journal of Colorectal Disease. 33, 9, p. 1309–1312Research output: Contribution to journal › Journal article › Research › peer-review
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Glucocorticoid metabolites in newborns: a marker for traffic noise related stress?
Lech Cantuaria, M., Usermann, J., Proietti, E., Blanes-Vidal, V., Dick, B., Fluck, C. E., Ruedi, S., Heritier, H., Wunderli, J-M., Latzin, P., Frey, U., Roosli, M. & Vienneau, D., Aug 2018, In: Environment International. 117, p. 319–326Research output: Contribution to journal › Journal article › Research › peer-review
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Addressing priority challenges in the Detection and Assessment of Colorectal Polyps from Capsule endoscopy and Colonoscopy in Colorectal Cancer Screening using Machine Learning
Blanes-Vidal, V., Baatrup, G. & S. Nadimi, E., 1. Apr 2019, In: Acta Oncologica. 58, Suppl. 1, p. S29-S36Research output: Contribution to journal › Journal article › Research › peer-review
Activities
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Harvard University
Victoria Blanes-Vidal (Visiting researcher)
20. Feb 2011 → 20. Sept 2011Activity: Visiting another research institution
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PLOS ONE (Journal)
Victoria Blanes-Vidal (Peer reviewer)
2022 → …Activity: Editorial work and peer review › Editor of research journal › Research
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Scientific Reports (Journal)
Victoria Blanes-Vidal (Peer reviewer)
2022Activity: Editorial work and peer review › Editor of research journal › Research
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Polytechnical University of Valencia (External organisation)
Victoria Blanes-Vidal (Member)
16. Jun 2008 → …Activity: Membership › Membership of research networks or expert groups
Press/Media
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Kunstig intelligens skal spotte livsfarlig sygdom i tide
12/04/2022
1 Media contribution
Press/Media: Press / Media
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Kunstig intelligens skal spotte livsfarlig leversygdom i tide
09/04/2022
1 Media contribution
Press/Media: Press / Media
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SDU-forskere bruger kunstig intelligens til at afsløre livsfarlig leversygdom
09/04/2022
1 Media contribution
Press/Media: Press / Media
Teaching & Supervision
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Artificial Intelligence for Healthcare Data - Summer School
, Manuella Lech Cantuaria & Jan-Matthias Braun 09/08/2021 → 20/08/2023
Course: Teaching
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SM-DSC-U2 Data Science
, Victoria Blanes-Vidal & Esmaeil Nadimi 01/09/2017 → 01/01/2019
Course: Teaching
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Public perception of environmental quality: Improving quantitative analysis of statistical data in epidemiological studies
Victoria Blanes-Vidal 01/01/2015 → 31/12/2017
Course: Supervision
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Statistisk dataanalyse / Statistical Data Analysis
Victoria Blanes-Vidal & Manuella Lech Cantuaria 09/08/2021 → …
Course: Teaching