White Matter Hyperintensities Are No Major Confounder for Alzheimer's Disease Cerebrospinal Fluid Biomarkers

Autor: Van Waalwijk Van Doorn, L. J. C., Ghafoorian, M., Van Leijsen, E. M. C., Claassen, J. A. H. R., Arighi, A., Bozzali, M., Cannas, J., Cavedo, E., Eusebi, P., Farotti, L., Fenoglio, C., Fortea, J., Frisoni, G. B., Galimberti, D., Greco, V., Herukka, S. -K., Liu, Y., Lleo, A., De Mendonca, A., Nobili, F. M., Parnetti, L., Picco, A., Pikkarainen, M., Salvadori, N., Scarpini, E., Soininen, H., Tarducci, R., Urbani, A., Vilaplana, E., Meulenbroek, O., Platel, B., Verbeek, M. M., Kuiperij, H. B., Martins, R.

Publikováno v: Journal of Alzheimer's Disease, 79, 163-175
Journal of Alzheimer's Disease
JOURNAL OF ALZHEIMERS DISEASE
r-IIB SANT PAU. Repositorio Institucional de Producción Científica del Instituto de Investigación Biomédica Sant Pau
Fundacion Sancho el Sabio Fundazioa (FSS)
Dipòsit Digital de Documents de la UAB
Universitat Autònoma de Barcelona
Journal of Alzheimer's Disease, 79, 1, pp. 163-175

Altres ajuts: Additionally, this work was funded by the CIBERNED program (Program 1, Alzheimer Disease), FondoEuropeo de Desarrollo Regional (FEDER), Unión Europea, "Una manera de hacer Europa" and a "Marató TV3" grant (grant number: 201412.10). Th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0a04d399eda1d5fbe785fc05d56cfd79
https://hdl.handle.net/11391/1481531

Accelerated development of cerebral small vessel disease in young stroke patients

Autor: Arntz, R.M., Broek, S.M., Uden, I.W.M. van, Ghafoorian, M., Platel, B., Rutten-Jacobs, L.C.A., Maaijwee, N.A.M.M., Schaapsmeerders, P., Schoonderwaldt, H.C., Dijk, E.J. van, Leeuw, F.E. de

Publikováno v: Neurology, 87, 1212-1219
Neurology, 87, 1212-9
Neurology, 87, 12, pp. 1212-9
Neurology, 87, 12, pp. 1212-1219

Contains fulltext : 167895.pdf (Publisher’s version ) (Open Access) OBJECTIVE: To study the long-term prevalence of small vessel disease after young stroke and to compare this to healthy controls. METHODS: This prospective cohort study comprises 33

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::ac3a1262935c9e622e1c236600530c1a
https://hdl.handle.net/2066/161574

Computer-aided detection of breast cancers using Haar-like features in automated 3D breast ultrasound

Autor: Tan, T., Mordang, J.J., Zelst, J.C.M. van, Grivegnée, A., Gubern Merida, A., Melendez Rodriguez, J.C., Mann, R.M., Zhang, W., Platel, B., Karssemeijer, N.

Publikováno v: Medical Physics, 42, 4, pp. 1498-1504
Medical Physics, 42, 1498-1504

Contains fulltext : 141356.pdf (Publisher’s version ) (Closed access)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::32d0acf1b0321245ef6f22dcd099e7fd
https://hdl.handle.net/2066/141356

Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation

Autor: Ghafoorian, M., Mehrtash, A., Kapur, T., Karssemeijer, N., Marchiori, E., Pesteie, M., Guttmann, C.R.G., Leeuw, F.-E. de, Tempany, C.M., Ginneken, B. van, Fedorov, A., Abolmaesumi, P., Platel, B., Wells, W.M., Descoteaux, M., Maier-Hein, L., Franz, A.

Publikováno v: Descoteaux, M.; Maier-Hein, L.; Franz, A. (ed.), Medical Image Computing and Computer-Assisted Intervention-MICCAI 2017: 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part III, pp. 516-524
Descoteaux, M.; Maier-Hein, L.; Franz, A. (ed.), Medical Image Computing and Computer-Assisted Intervention-MICCAI 2017: 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part III, 516-524. Cham : Springer International Publishing
STARTPAGE=516;ENDPAGE=524;ISSN=0302-9743;TITLE=Descoteaux, M.; Maier-Hein, L.; Franz, A. (ed.), Medical Image Computing and Computer-Assisted Intervention-MICCAI 2017: 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part III

Magnetic Resonance Imaging (MRI) is widely used in routine clinical diagnosis and treatment. However, variations in MRI acquisition protocols result in different appearances of normal and diseased tissue in the images. Convolutional neural networks (

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::086512d1df2cdbc2c72b726789f051f1
https://hdl.handle.net/2066/178607

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