Research output per year
Research output per year
Personal profile
Research interests
My research focusses on the bioinformatic analysis of high dimensional data (such as genetic data and imaging data) by applying various statistical and machine learning methods to gain better understanding of complex and multifactorial cardiovascular diseases.
My ongoing projects include identification of new markers for cardiovascular diseases and related traits as well as construction of processing and analysis pipelines for cardiac imaging data from large scale population cohorts.
Besides research activities, I currently serve on the board of Regional Student Group (RSG) Netherlands of the International Society of Computational Biology (ISCB) and on student committee for the organization of the new Summer School ‘Data Science and AI in Health’ offered by the University Medical Centre Groningen (UMCG) in 2021.
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
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Hybridizing machine learning in survival analysis of cardiac PET/CT imaging
Juarez-Orozco, L. E., Niemi, M., Yeung, M. W., Benjamins, J. W., Maaniitty, T., Teuho, J., Saraste, A., Knuuti, J., van der Harst, P. & Klén, R., 1-Sept-2023, (E-pub ahead of print) In: Journal of Nuclear Cardiology. 10 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile1 Downloads (Pure) -
Selecting cardiac magnetic resonance images suitable for annotation of pulmonary arteries using an active-learning based deep learning model
van der Veen, W., Benjamins, J-W., Yeung, M. W. & van der Harst, P., 19-Sept-2023, In: Scientific Reports. 13, 9 p., 15478.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile -
Artificial intelligence for the vasculome
Juarez Orozco, L., Yeung, M. W., Benjamins, J-W., Kazemzadeh, F., Hora de Carvalho, G. & van der Harst, P., 11-Jun-2022, The Vasculome : From Many, One. Galis, Z. S. (ed.). 1 ed. San Diego: Academic Press, p. 229-236 8 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic
Open AccessFile1 Citation (Scopus)7 Downloads (Pure) -
Artificial Intelligence to Improve Risk Prediction with Nuclear Cardiac Studies
Juarez-Orozco, L. E., Klén, R., Niemi, M., Ruijsink, B., Daquarti, G., van Es, R., Benjamins, J-W., Yeung, M. W., van der Harst, P. & Knuuti, J., Apr-2022, In: Current cardiology reports. 24, p. 307–316 10 p.Research output: Contribution to journal › Review article › peer-review
Open AccessFile4 Citations (Scopus)42 Downloads (Pure) -
Genomic insights in ascending aortic size and distensibility
Benjamins, J. W., Yeung, M. W., Vegte, Y. J. V. D., Said, M. A., van der Linden, T., Ties, D., Juarez-Orozco, L. E., Verweij, N. & Harst, P. V. D., 3-Jan-2022, In: EBioMedicine. 75, 18 p., 103783.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile8 Citations (Scopus)59 Downloads (Pure)