Wiesje M. van der Flier - researchr alias

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Viewing Publication 1 - 13 from 13

2023

An Interpretable Machine Learning Model with Deep Learning-Based Imaging Biomarkers for Diagnosis of Alzheimer's DiseaseWenjie Kang, Bo Li 0088, Janne M. Papma, Lize C. Jiskoot, Peter Paul De Deyn, Geert Jan Biessels, Jurgen A. H. R. Claassen, Huub A. M. Middelkoop, Wiesje M. van der Flier, Inez H. G. B. Ramakers, Stefan Klein 0001, Esther E. Bron. miccai 2023: 69-78 [doi]

2020

Identifying a task-invariant cognitive reserve network using task potencyAnna Catharina van Loenhoud, Christian G. Habeck, Wiesje M. van der Flier, Rik Ossenkoppele, Yaakov Stern. neuroimage, 210:116593, 2020. [doi]

2019

Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation ChallengeHugo J. Kuijf, Adrià Casamitjana, D. Louis Collins, Mahsa Dadar, Achilleas Georgiou, Mohsen Ghafoorian, Dakai Jin, April Khademi, Jesse Knight, Hongwei Li, Xavier Lladó, J. Matthijs Biesbroek, Miguel Luna, Qaiser Mahmood, Richard McKinley, Alireza Mehrtash, Sébastien Ourselin, Bo-yong Park, Hyunjin Park, Sang-Hyun Park, Simon Pezold, Élodie Puybareau, Jeroen de Bresser, Letícia Rittner, Carole H. Sudre, Sergi Valverde, Verónica Vilaplana, Roland Wiest, Yongchao Xu, Ziyue Xu, Guodong Zeng, Jianguo Zhang, Guoyan Zheng, Rutger Heinen, Christopher Chen, Wiesje M. van der Flier, Frederik Barkhof, Max A. Viergever, Geert Jan Biessels, Simon Andermatt, Mariana Bento, Matt Berseth, Mikhail Belyaev, M. Jorge Cardoso. tmi, 38(11):2556-2568, 2019. [doi]

2016

Differential Dementia Diagnosis on Incomplete Data with Latent TreesChristian Ledig, Sebastian Kaltwang, Antti Tolonen, Juha Koikkalainen, Philip Scheltens, Frederik Barkhof, Hanneke Rhodius-Meester, Betty M. Tijms, Afina W. Lemstra, Wiesje M. van der Flier, Jyrki Lötjönen, Daniel Rueckert. miccai 2016: 44-52 [doi]

A Semi-supervised Large Margin Algorithm for White Matter Hyperintensity SegmentationChen Qin, Ricardo Guerrero Moreno, Christopher Bowles, Christian Ledig, Philip Scheltens, Frederik Barkhof, Hanneke Rhodius-Meester, Betty M. Tijms, Afina W. Lemstra, Wiesje M. van der Flier, Ben Glocker, Daniel Rueckert. miccai 2016: 104-112 [doi]

2015

2014

Single-Subject Gray Matter Graph Properties and Their Relationship with Cognitive Impairment in Early- and Late-Onset Alzheimer's DiseaseBetty M. Tijms, Hiu M. Yeung, Sietske A. M. Sikkes, Christiane Möller, Lieke L. Smits, Cornelis J. Stam, Philip Scheltens, Wiesje M. van der Flier, Frederik Barkhof. brain, 4(5):337-346, 2014. [doi]

2012

Disrupted modular brain dynamics reflect cognitive dysfunction in Alzheimer's diseaseWillem de Haan, Wiesje M. van der Flier, T. Koene, L. L. Smits, Philip Scheltens, Cornelis J. Stam. neuroimage, 59(4):3085-3093, 2012. [doi]

Disruption of Functional Brain Networks in Alzheimer's Disease: What Can We Learn from Graph Spectral Analysis of Resting-State Magnetoencephalography?Willem de Haan, Wiesje M. van der Flier, Huijuan Wang, Piet Van Mieghem, Philip Scheltens, Cornelis J. Stam. brain, 2(2):45-55, 2012. [doi]

2010

Microglial activation in healthy agingAlie Schuitemaker, Ronald Boellaard, Wiesje M. van der Flier, Marc A. Kropholler, Albert D. Windhorst, Frederik Barkhof, Cees Jonker, Reina W. Kloet, Adriaan A. Lammertsma, Philip Scheltens, Bart N. M. van Berckel. neuroimage, 52(Supplement-1), 2010. [doi]

Increased microglial activation in MCI and AD: An (R)-[11C]PK11195 PET studyAlie Schuitemaker, Marc A. Kropholler, Ronald Boellaard, Wiesje M. van der Flier, Reina W. Kloet, Dirk L. Knol, Albert D. Windhorst, Cees Jonker, Adriaan A. Lammertsma, Frederik Barkhof, Philip Scheltens, Bart N. M. van Berckel. neuroimage, 52(Supplement-1), 2010. [doi]

11C]verapamil and PETDanielle M. E. van Assema, Mark Lubberink, Nikie J. Hoetjes, Harry H. Hendrikse, Robert C. Schuit, Albert D. Windhorst, Wiesje M. van der Flier, Philip Scheltens, Adriaan A. Lammertsma, Bart N. M. van Berckel. neuroimage, 52(Supplement-1), 2010. [doi]

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