Wiesje M. van der Flier

According to our database, Wiesje M. van der Flier authored at least 13 papers between 2010 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

Identifying a task-invariant cognitive reserve network using task potency.

Anna Catharina van Loenhoud, Christian G. Habeck, Wiesje M. van der Flier, Rik Ossenkoppele, Yaakov Stern

NeuroImage, 2020

Cross-Cohort Generalizability of Deep and Conventional Machine Learning for MRI-based Diagnosis and Prediction of Alzheimer's Disease.

Esther E. Bron, Stefan Klein, Janne M. Papma, Lize C. Jiskoot, Vikram Venkatraghavan, Jara Linders, Pauline Aalten, Peter Paul De Deyn, Geert Jan Biessels, Jurgen A. H. R. Claassen, Huub A. M. Middelkoop, Marion Smits, Wiro J. Niessen, John van Swieten, Wiesje M. van der Flier, Inez H. G. B. Ramakers, Aad van der Lugt

CoRR, 2020

2019

Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge.

Hugo 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 P. Bento, Matt Berseth, Mikhail Belyaev, M. Jorge Cardoso

IEEE Trans. Medical Imaging, 2019

2016

A Semi-supervised Large Margin Algorithm for White Matter Hyperintensity Segmentation.

Chen 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

Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016

Differential Dementia Diagnosis on Incomplete Data with Latent Trees.

Christian 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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Pseudo-healthy Image Synthesis for White Matter Lesion Segmentation.

Christopher Bowles, Chen Qin, Christian Ledig, Ricardo Guerrero, Roger N. Gunn, Alexander Hammers, Eleni Sakka, David Alexander Dickie, Maria del C. Valdés Hernández, Natalie A. Royle, Joanna M. Wardlaw, Hanneke Rhodius-Meester, Betty M. Tijms, Afina W. Lemstra, Wiesje M. van der Flier, Frederik Barkhof, Philip Scheltens, Daniel Rueckert

Proceedings of the Simulation and Synthesis in Medical Imaging, 2016

2015

Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: The CADDementia challenge.

Esther E. Bron, Marion Smits, Wiesje M. van der Flier, Hugo Vrenken, Frederik Barkhof, Philip Scheltens, Janne M. Papma, Rebecca M. E. Steketee, Carolina Méndez Orellana, Rozanna Meijboom, Madalena Pinto, Joana R. Meireles, Carolina Garrett, António J. Bastos-Leite, Ahmed Abdulkadir, Olaf Ronneberger, Nicola Amoroso, Roberto Bellotti, David Cárdenas-Peña, Andrés Marino Álvarez-Meza, Chester V. Dolph, Khan M. Iftekharuddin, Simon F. Eskildsen, Pierrick Coupé, Vladimir S. Fonov, Katja Franke

NeuroImage, 2015

2014

Single-Subject Gray Matter Graph Properties and Their Relationship with Cognitive Impairment in Early- and Late-Onset Alzheimer's Disease.

Betty 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 Connect., 2014

2012

Disrupted modular brain dynamics reflect cognitive dysfunction in Alzheimer's disease.

Willem de Haan, Wiesje M. van der Flier, T. Koene, Lieke L. Smits, Philip Scheltens, Cornelis J. Stam

NeuroImage, 2012

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 Connect., 2012

2010

Increased microglial activation in MCI and AD: An (R)-[11C]PK11195 PET study.

Alie 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, 2010

Microglial activation in healthy aging.

Alie 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, 2010

Decreased P-glycoprotein function at the blood-brain barrier in patients with Alzheimer's disease as shown by (R)-[¹¹C]verapamil and PET.

Danielle 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, 2010