Marion Smits

According to our database, Marion Smits authored at least 23 papers between 2007 and 2024.

Collaborative distances:

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

2024

Evaluating the Predictive Value of Glioma Growth Models for Low-Grade Glioma After Tumor Resection.

Karin A. van Garderen, Sebastian R. van der Voort, Maarten M. J. Wijnenga, Fatih Incekara, Ahmad Alafandi, Georgios Kapsas, Renske Gahrmann, Joost W. Schouten, Hendrikus J. Dubbink, Arnaud J. P. E. Vincent, Martin J. van den Bent, Pim J. French, Marion Smits, Stefan Klein

IEEE Trans. Medical Imaging, January, 2024

2023

Human brain mapping using co-registered fUS, fMRI and ESM during awake brain surgeries: A proof-of-concept study.

S. Soloukey, Ellen Collée, L. Verhoef, D. D. Satoer, C. M. F. Dirven, E. M. Bos, Joost W. Schouten, B. S. Generowicz, Frits Mastik, Chris I. De Zeeuw, S. K. E. Koekkoek, Arnaud J. P. E. Vincent, Marion Smits, P. Kruizinga

NeuroImage, December, 2023

Deep learning-based group-wise registration for longitudinal MRI analysis in glioma.

Claudia Chinea Hammecher, Karin van Garderen, Marion Smits, Pieter Wesseling, Bart A. Westerman, Pim J. French, Mathilde C. M. Kouwenhoven, Roel G. W. Verhaak, Frans Vos, Esther Bron, Bo Li

CoRR, 2023

2022

Computer-aided diagnosis and prediction in brain disorders.

Vikram Venkatraghavan, Sebastian R. van der Voort, Daniel Bos, Marion Smits, Frederik Barkhof, Wiro J. Niessen, Stefan Klein, Esther E. Bron

CoRR, 2022

2021

DeepDicomSort: An Automatic Sorting Algorithm for Brain Magnetic Resonance Imaging Data.

Sebastian R. van der Voort, Marion Smits, Stefan Klein

Neuroinformatics, 2021

Reproducible radiomics through automated machine learning validated on twelve clinical applications.

Martijn P. A. Starmans, Sebastian R. van der Voort, Thomas Phil, Milea J. M. Timbergen, Melissa Vos, Guillaume A. Padmos, Wouter Kessels, David Hanff, Dirk J. Grünhagen, Cornelis Verhoef, Stefan Sleijfer, Martin J. van den Bent, Marion Smits, Roy S. Dwarkasing, Christopher J. Els, Federico Fiduzi, Geert J. L. H. van Leenders, Anela Blazevic, Johannes Hofland, Tessa Brabander, Renza A. H. van Gils, Gaston J. H. Franssen, Richard A. Feelders, Wouter W. de Herder, Florian E. Buisman, François E. J. A. Willemssen, Bas Groot Koerkamp, Lindsay Angus, Astrid A. M. van der Veldt, Ana Rajicic, Arlette E. Odink, Mitchell Deen, Jose M. Castillo T, Jifke F. Veenland, Ivo Schoots, Michel Renckens, Michail Doukas, Rob A. de Man, Jan N. M. IJzermans, Razvan L. Miclea, Peter B. Vermeulen, Esther E. Bron, Maarten G. Thomeer, Jacob J. Visser, Wiro J. Niessen, Stefan Klein

CoRR, 2021

The Effect of Preprocessing on Convolutional Neural Networks for Medical Image Segmentation.

K. B. de Raad, Karin A. van Garderen, Marion Smits, Sebastian R. van der Voort, Fatih Incekara, E. H. G. Oei, Jukka Hirvasniemi, Stefan Klein, Martijn P. A. Starmans

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Evaluating Glioma Growth Predictions as a Forward Ranking Problem.

Karin A. van Garderen, Sebastian R. van der Voort, Maarten M. J. Wijnenga, Fatih Incekara, Georgios Kapsas, Renske Gahrmann, Ahmad Alafandi, Marion Smits, Stefan Klein

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2020

Neuro4Neuro: A neural network approach for neural tract segmentation using large-scale population-based diffusion imaging.

Bo Li, Marius de Groot, Rebecca M. E. Steketee, Rozanna Meijboom, Marion Smits, Meike W. Vernooij, Mohammad Arfan Ikram, Jiren Liu, Wiro J. Niessen, Esther E. Bron

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

WHO 2016 subtyping and automated segmentation of glioma using multi-task deep learning.

Sebastian R. van der Voort, Fatih Incekara, Maarten M. J. Wijnenga, Georgios Kapsas, Renske Gahrmann, Joost W. Schouten, Rishi Nandoe Tewarie, Geert J. Lycklama, Philip C. de Witt Hamer, Roelant S. Eijgelaar, Pim J. French, Hendrikus J. Dubbink, Arnaud J. P. E. Vincent, Wiro J. Niessen, Martin J. van den Bent, Marion Smits, Stefan Klein

CoRR, 2020

2019

Longitudinal molecular trajectories of diffuse glioma in adults.

Floris P. Barthel, Kevin C. Johnson, Frederick S. Varn, Anzhela D. Moskalik, Georgette Tanner, Emre Kocakavuk, Kevin J. Anderson, Olajide Abiola, Kenneth D. Aldape, Kristin D. Alfaro, Donat Alpar, Samirkumar B. Amin, David M. Ashley, Pratiti Bandopadhayay, Jill S. Barnholtz-Sloan, Rameen Beroukhim, Christoph Bock, Priscilla K. Brastianos, Daniel J. Brat, Andrew R. Brodbelt, Alexander F. Bruns, Ketan R. Bulsara, Aruna Chakrabarty, Arnab Chakravarti, Jeffrey H. Chuang, Elizabeth B. Claus, Elizabeth J. Cochran, Jennifer Connelly, Joseph F. Costello, Gaetano Finocchiaro, Michael N. Fletcher, Pim J. French, Hui K. Gan, Mark R. Gilbert, Peter V. Gould, Matthew R. Grimmer, Antonio Iavarone, Azzam Ismail, Michael D. Jenkinson, Mustafa Khasraw, Hoon Kim, Mathilde C. M. Kouwenhoven, Peter S. LaViolette, Meihong Li, Peter Lichter, Keith L. Ligon, Allison K. Lowman, Tathiane M. Malta, Tali Mazor, Kerrie L. McDonald, Annette M. Molinaro, Do-Hyun Nam, Naema Nayyar, Ho Keung Ng, Chew Yee Ngan, Simone P. Niclou, Johanna M. Niers, Houtan Noushmehr, Javad Noorbakhsh, D. Ryan Ormond, Chul-Kee Park, Laila M. Poisson, Raul Rabadan, Bernhard Radlwimmer, Ganesh Rao, Guido Reifenberger, Jason K. Sa, Michael Schuster, Brian L. Shaw, Susan C. Short, Peter A. E. Sillevis Smitt, Andrew E. Sloan, Marion Smits, Hiromichi Suzuki, Ghazaleh Tabatabai, Erwin G. Van Meir, Colin Watts, Michael Weller, Pieter Wesseling, Bart A. Westerman, Georg Widhalm, Adelheid Woehrer, W. K. Alfred Yung, Gelareh Zadeh, Jason T. Huse, John F. De Groot, Lucy F. Stead, Roel G. W. Verhaak

Nat., 2019

Towards continuous learning for glioma segmentation with elastic weight consolidation.

Karin van Garderen, Sebastian R. van der Voort, Fatih Incekara, Marion Smits, Stefan Klein

CoRR, 2019

Multi-modal Segmentation with Missing MR Sequences Using Pre-trained Fusion Networks.

Karin van Garderen, Marion Smits, Stefan Klein

Proceedings of the Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 2019

2017

Radiogenomic classification of the 1p/19q status in presumed low-grade gliomas.

Sebastian R. van der Voort, Renske Gahrmann, Martin J. van den Bent, Arnaud J. P. E. Vincent, Wiro J. Niessen, Marion Smits, Stefan Klein

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2015

Feature Selection Based on the SVM Weight Vector for Classification of Dementia.

Esther E. Bron, Marion Smits, Wiro J. Niessen, Stefan Klein

IEEE J. Biomed. Health Informatics, 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

Feature Selection Based on SVM Significance Maps for Classification of Dementia.

Esther Bron, Marion Smits, John van Swieten, Wiro J. Niessen, Stefan Klein

Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014

2013

Fast Parallel Image Registration on CPU and GPU for Diagnostic Classification of Alzheimer's Disease.

Denis P. Shamonin, Esther Bron, Boudewijn P. F. Lelieveldt, Marion Smits, Stefan Klein, Marius Staring

Frontiers Neuroinformatics, 2013

2011

Remedial action and feedback processing in a time-estimation task: Evidence for a role of the rostral cingulate zone in behavioral adjustments without learning.

Frederik M. van der Veen, Christian H. Röder, Gabry W. Mies, Aad van der Lugt, Marion Smits

NeuroImage, 2011

The anterior cingulate cortex responds differently to the validity and valence of feedback in a time-estimation task.

Gabry W. Mies, Maurits W. van der Molen, Marion Smits, Michiel W. Hengeveld, Frederik M. van der Veen

NeuroImage, 2011

Neurobiological substrate of smoking-related attentional bias.

Maartje Luijten, Dick J. Veltman, Wim van den Brink, Rob Hester, Matt Field, Marion Smits, Ingmar H. A. Franken

NeuroImage, 2011

2007

Fiber density asymmetry of the arcuate fasciculus in relation to functional hemispheric language lateralization in both right- and left-handed healthy subjects: A combined fMRI and DTI study.

Meike W. Vernooij, Marion Smits, Piotr Wielopolski, Gavin Houston, Gabriel P. Krestin, Aad van der Lugt

NeuroImage, 2007