Projects per year
Collaborations and top research areas from the last five years
Projects
- 2 Active
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Baan J.: Transcatheter Heart Valve Interventions
Baan, J., Bouma, B., Driessen, A., Koch, K., Marquering, H., Planken, N., Vis, M., Delewi, R., van Kesteren, F., van Mourik, M., Velu, J. & Vendrik, J.
29/04/2014 → …
Project: Research
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Piek J.J.: Diagnosis and Treatment of Coronary Syndromes
Asano, T., Bax, M., van Dongen, I., Elias, J., Hakimzadeh, N., Hassell, M., ter Horst, E., Katagiri, Y., van Lavieren, M., van Mourik, M., Ouweneel, D., Velu, J., Vendrik, J., Wijntjens, G., Piek, J., Baan, J., Siebes, M., Claessen, B., Engstrom, A., Sjauw, K., Yong, Z. & Kuipers, G.
1/01/2006 → …
Project: Research
Research output
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Quantitative aortography for assessment of aortic regurgitation in the era of percutaneous aortic valve replacement
Abdelshafy, M., Serruys, P. W., Tsai, T-Y., Revaiah, P. C., Garg, S., Aben, J-P., Schultz, C. J., Abdelghani, M., Tonino, P. A. L., Miyazaki, Y., Rutten, M. C. M., Cox, M., Sahyoun, C., Teng, J., Tateishi, H., Abdel-Wahab, M., Piazza, N., Pighi, M., Modolo, R., van Mourik, M., & 28 others , 2023, In: Frontiers in cardiovascular medicine. 10, 1161779.Research output: Contribution to journal › Review article › Academic › peer-review
Open Access -
Evaluation of a Fully Automatic Deep Learning-Based Method for the Measurement of Psoas Muscle Area
van Erck, D., Moeskops, P., Schoufour, J. D., Weijs, P. J. M., Scholte op Reimer, W. J. M., van Mourik, M. S., Janmaat, Y. C., Planken, R. N., Vis, M., Baan, J., Hemke, R., Išgum, I., Henriques, J. P., de Vos, B. D. & Delewi, R., 12 May 2022, In: Frontiers in Nutrition. 9, p. 781860 781860.Research output: Contribution to journal › Article › Academic › peer-review
Open Access10 Citations (Scopus) -
Immediate reduction in left ventricular ejection time following TAVI is associated with improved quality of life
Schenk, J., Kho, E., Rellum, S., Kromhout, J., Vlaar, A. P. J., Baan, J., van Mourik, M. S., Jorstad, H. T., van der Ster, B. J. P., Westerhof, B. E., Bruns, S., Immink, R. V., Vis, M. M. & Veelo, D. P., 16 Sept 2022, In: Frontiers in cardiovascular medicine. 9, 988840.Research output: Contribution to journal › Article › Academic › peer-review
Open Access2 Citations (Scopus) -
Local and Distributed Machine Learning for Inter-hospital Data Utilization: An Application for TAVI Outcome Prediction
Lopes, R. R., Mamprin, M., Zelis, J. M., Tonino, P. A. L., van Mourik, M. S., Vis, M. M., Zinger, S., de Mol, B. A. J. M., de With, P. H. N. & Marquering, H. A., 2021, In: Frontiers in cardiovascular medicine. 8, p. 787246 787246.Research output: Contribution to journal › Article › Academic › peer-review
Open Access1 Citation (Scopus) -
Machine learning for predicting mortality in transcatheter aortic valve implantation: An inter-center cross validation study
Mamprin, M., Lopes, R. R., Zelis, J. M., Tonino, P. A. L., van Mourik, M. S., Vis, M. M., Zinger, S., de Mol, B. A. J. M. & de With, P. H. N., 2021, In: Journal of cardiovascular development and disease. 8, 6, 65.Research output: Contribution to journal › Article › Academic › peer-review
Open Access5 Citations (Scopus)
Datasets
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Elixhauser comorbidity score is the best risk score in predicting survival after MitraClip implantation
Velu, J. F. (Creator), Haas, S. D. (Creator), van Mourik, M. (Contributor), Koch, K. (Creator), Vis, M. (Contributor), Simao Henriques, J. (Creator), van den Brink, R. (Contributor), Boekholdt, S. M. (Contributor), Piek, J. J. (Creator), Bouma, B. (Creator), Baan, J. (Creator) & Piek, J. (Creator), Taylor & Francis, 2017
DOI: 10.6084/m9.figshare.5592649.v1, https://tandf.figshare.com/articles/dataset/Elixhauser_comorbidity_score_is_the_best_risk_score_in_predicting_survival_after_MitraClip_implantation/5592649/1
Dataset
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Elixhauser Comorbidity Score Is the Best Risk Score in Predicting Survival After Mitraclip Implantation
Velu, J. F. (Creator), Haas, S. D. (Creator), van Mourik, M. (Contributor), Koch, K. (Creator), Vis, M. (Contributor), Simao Henriques, J. (Creator), van den Brink, R. (Contributor), Boekholdt, S. M. (Contributor), Piek, J. J. (Creator), Bouma, B. (Creator), Baan, J. (Creator), Koch, K. T. (Creator) & Piek, J. (Creator), Taylor & Francis, 2017
DOI: 10.6084/m9.figshare.5592649.v2, https://tandf.figshare.com/articles/dataset/Elixhauser_comorbidity_score_is_the_best_risk_score_in_predicting_survival_after_MitraClip_implantation/5592649/2
Dataset
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Elixhauser Comorbidity Score Is the Best Risk Score in Predicting Survival After Mitraclip Implantation
Velu, J. F. (Creator), Haas, S. D. (Creator), van Mourik, M. (Contributor), Koch, K. (Creator), Vis, M. (Contributor), Simao Henriques, J. (Creator), van den Brink, R. (Contributor), Boekholdt, S. M. (Contributor), Piek, J. J. (Creator), Bouma, B. (Creator), Baan, J. (Creator) & Piek, J. (Creator), Taylor & Francis, 2020
DOI: 10.6084/m9.figshare.5592649.v3, https://tandf.figshare.com/articles/dataset/Elixhauser_comorbidity_score_is_the_best_risk_score_in_predicting_survival_after_MitraClip_implantation/5592649/3
Dataset
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Elixhauser Comorbidity Score Is the Best Risk Score in Predicting Survival After Mitraclip Implantation
Velu, J. F. (Creator), Haas, S. D. (Creator), van Mourik, M. (Contributor), Koch, K. (Creator), Vis, M. (Contributor), Simao Henriques, J. (Creator), van den Brink, R. (Contributor), Boekholdt, S. M. (Contributor), Piek, J. J. (Creator), Bouma, B. (Creator), Baan, J. (Creator) & Piek, J. (Creator), Taylor & Francis, 2020
DOI: 10.6084/m9.figshare.5592649, https://tandf.figshare.com/articles/dataset/Elixhauser_comorbidity_score_is_the_best_risk_score_in_predicting_survival_after_MitraClip_implantation/5592649
Dataset