Zobrazeno 1 - 10
of 3 022
pro vyhledávání: '"Zwinderman, A H"'
Autor:
Helland, Ragnhild Holden, Ferles, Alexandros, Pedersen, André, Kommers, Ivar, Ardon, Hilko, Barkhof, Frederik, Bello, Lorenzo, Berger, Mitchel S., Dunås, Tora, Nibali, Marco Conti, Furtner, Julia, Hervey-Jumper, Shawn, Idema, Albert J. S., Kiesel, Barbara, Tewari, Rishi Nandoe, Mandonnet, Emmanuel, Müller, Domenique M. J., Robe, Pierre A., Rossi, Marco, Sagberg, Lisa M., Sciortino, Tommaso, Aalders, Tom, Wagemakers, Michiel, Widhalm, Georg, Witte, Marnix G., Zwinderman, Aeilko H., Majewska, Paulina L., Jakola, Asgeir S., Solheim, Ole, Hamer, Philip C. De Witt, Reinertsen, Ingerid, Eijgelaar, Roelant S., Bouget, David
Extent of resection after surgery is one of the main prognostic factors for patients diagnosed with glioblastoma. To achieve this, accurate segmentation and classification of residual tumor from post-operative MR images is essential. The current stan
Externí odkaz:
http://arxiv.org/abs/2304.08881
Autor:
van de Wiel, Mark A., Leday, Gwenaël G. R., Hoogland, Jeroen, Heymans, Martijn W., van Zwet, Erik W., Zwinderman, Ailko H.
While shrinkage is essential in high-dimensional settings, its use for low-dimensional regression-based prediction has been debated. It reduces variance, often leading to improved prediction accuracy. However, it also inevitably introduces bias, whic
Externí odkaz:
http://arxiv.org/abs/2301.09890
Autor:
Bouget, D., Pedersen, A., Jakola, A. S., Kavouridis, V., Emblem, K. E., Eijgelaar, R. S., Kommers, I., Ardon, H., Barkhof, F., Bello, L., Berger, M. S., Nibali, M. C., Furtner, J., Hervey-Jumper, S., Idema, A. J. S., Kiesel, B., Kloet, A., Mandonnet, E., Müller, D. M. J., Robe, P. A., Rossi, M., Sciortino, T., Brink, W. Van den, Wagemakers, M., Widhalm, G., Witte, M. G., Zwinderman, A. H., Hamer, P. C. De Witt, Solheim, O., Reinertsen, I.
Publikováno v:
Frontiers in Neurology, Sec. Applied Neuroimaging, Volume 13, 2022
For patients suffering from brain tumor, prognosis estimation and treatment decisions are made by a multidisciplinary team based on a set of preoperative MR scans. Currently, the lack of standardized and automatic methods for tumor detection and gene
Externí odkaz:
http://arxiv.org/abs/2204.14199
Model transparency is a prerequisite in many domains and an increasingly popular area in machine learning research. In the medical domain, for instance, unveiling the mechanisms behind a disease often has higher priority than the diagnostic itself si
Externí odkaz:
http://arxiv.org/abs/2111.09744
Autor:
Maaslandand, Troy, Pereira, João, Bastos, Diogo, de Goffau, Marcus, Nieuwdorp, Max, Zwinderman, Aeilko H., Levin, Evgeni
One of the most common pitfalls often found in high dimensional biological data sets are correlations between the features. This may lead to statistical and machine learning methodologies overvaluing or undervaluing these correlated predictors, while
Externí odkaz:
http://arxiv.org/abs/2111.09145
Autor:
Guman, Noori A.M., Mulder, Frits I., Ferwerda, Bart, Zwinderman, Aeilko H., Kamphuisen, Pieter W., Büller, Harry R., van Es, Nick
Publikováno v:
In Journal of Thrombosis and Haemostasis November 2023 21(11):3175-3183
Autor:
de Boer, Lotte M, Wiegman, Albert, Kroon, Jeffrey, Tsimikas, Sotirios, Yeang, Calvin, Peletier, Merel C, Revers, Alma, Kastelein, John J P, Zwinderman, Aeilko H, Hutten, Barbara A *
Publikováno v:
In The Lancet Diabetes & Endocrinology September 2023 11(9):667-674
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Akademický článek
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Autor:
Bleijendaal, Hidde, Croon, Philip M., Pool, Marinka D. Oudkerk, Malekzadeh, Arjan, Aufiero, Simona, Amin, Ahmad S., Zwinderman, Aeilko H., Pinto, Yigal M., Wilde, Arthur A.M., Winter, Michiel M.
Publikováno v:
In Trends in Cardiovascular Medicine July 2023 33(5):274-282