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.
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):
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Collaborations and top research areas from the last five years
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Genomic insights into cardiovascular traits from deep phenotyping of large-scale population cohorts
Yeung, M. W., 2024, [Groningen]: University of Groningen. 357 p.Research output: Thesis › Thesis fully internal (DIV)
Open AccessFile124 Downloads (Pure) -
Fetuin-A and its genetic association with cardiometabolic disease
Al Ali, L., van de Vegte, Y. J., Said, M. A., Groot, H. E., Hendriks, T., Yeung, M. W., Lipsic, E. & van der Harst, P., 6-Dec-2023, In: Scientific Reports. 13, 1, 11 p., 21469.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile2 Citations (Scopus)34 Downloads (Pure) -
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., Dec-2023, In: Journal of Nuclear Cardiology. 30, 6, p. 2750-2759 10 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile1 Citation (Scopus)36 Downloads (Pure) -
Machine learning in practice-Evaluation of clinical value, guidelines
Juarez-Orozco, L. E., Ruijsink, B., Yeung, M. W., Benjamins, J. W. & van der Harst, P., 4-Nov-2023, Clinical Applications of Artificial Intelligence in Real-World Data. Asselbergs, F. W., Denaxas, S., Oberski, D. L. & Moore, J. H. (eds.). Springer International Publishing AG, p. 247-261 15 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review
Open AccessFile23 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 AccessFile1 Citation (Scopus)56 Downloads (Pure)