M.W. Yeung

Faculteit Medische Wetenschappen/UMCG

Telefoon:

050 361 3238

E-mail:

m.w.yeung umcg.nl

ORCID Research Portal

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.

Publicaties

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 blz., 21469.

Onderzoeksoutput › › peer review

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, blz. 2750-2759 10 blz.

Onderzoeksoutput › › peer review

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-sep.-2023, In: Scientific Reports. 13, 9 blz., 15478.

Onderzoeksoutput › › peer review

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. (redactie). 1 redactie San Diego: Academic Press, blz. 229-236 8 blz.

Onderzoeksoutput ›

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, blz. 307–316 10 blz.

Onderzoeksoutput › peer review

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 blz., 103783.

Onderzoeksoutput › › peer review

Hybrid Cardiac Imaging: The Role of Machine Learning and Artificial Intelligence

Benjamins, J-W., Yeung, M. W., Reyes-Quintero, A. E., Ruijsink, B., van der Harst, P. & Juarez-Orozco, L., 19-aug.-2022, Hybrid Cardiac Imaging for Clinical Decision-Making: From Diagnosis to Prognosis. Nudi, F., Schillaci, O., Biondi-Zoccai, G. & Iskandrian, A. E. (redactie). 1 redactie Cham: Springer Nature, blz. 203-222 20 blz.

Onderzoeksoutput ›

Improving explainability of deep neural network-based electrocardiogram interpretation using variational auto-encoders

van de Leur, R., Bos, M., Taha, K., Sammani, A., Yeung, M. W., van Duijvenboden, S., Lambiase, P., Hassink, R., van der Harst, P., Doevendans, P., Gupta, D. & van Es, R., sep.-2022, In: European Heart Journal - Digital Health. 3, 3, blz. 390–404 15 blz.

Onderzoeksoutput › › peer review

Multi-task Deep Learning of Myocardial Blood Flow and Cardiovascular Risk Traits from PET Myocardial Perfusion Imaging

Yeung, M. W., Benjamins, J. W., Knol, R. J. J., van der Zant, F. M., Asselbergs, F. W., van der Harst, P. & Juarez-Orozco, L. E., dec.-2022, In: Journal of Nuclear Cardiology. 29, blz. 3300–3310 11 blz.

Onderzoeksoutput › › peer review

Statistical learning for sparser fine-mapped polygenic models: The prediction of LDL-cholesterol

Maj, C., Staerk, C., Borisov, O., Klinkhammer, H., Yeung, M. W., Krawitz, P. & Mayr, A., dec.-2022, In: Genetic epidemiology. 46, 8, blz. 589-603

Onderzoeksoutput › › peer review

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