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Meike W. Vernooij
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2020 – today
- 2024
- [j31]Carole H. Sudre
, Kimberlin M. H. van Wijnen, Florian Dubost, Hieab Adams, David Atkinson
Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. Medical Image Anal. 91: 103029 (2024) - 2023
- [i18]Bo Li, Jeroen de Bresser, Wiro J. Niessen, Matthias van Osch, Wiesje M. van der Flier, Geert Jan Biessels, Meike W. Vernooij, Esther Bron:
Prior-knowledge-informed deep learning for lacune detection and quantification using multi-site brain MRI. CoRR abs/2306.10622 (2023) - [i17]Xianjing Liu, Bo Li, Meike W. Vernooij, Eppo B. Wolvius, Gennady V. Roshchupkin, Esther E. Bron:
AI-based association analysis for medical imaging using latent-space geometric confounder correction. CoRR abs/2311.12836 (2023) - 2022
- [i16]Carole H. Sudre
Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. CoRR abs/2208.07167 (2022) - [i15]Kevin Jenniskens
Effectiveness of contact tracing apps for SARS-CoV-2: an updated systematic review. F1000Research 11: 515 (2022) - 2021
- [j30]Wyke Huizinga, Dirk H. J. Poot, Elisabeth J. Vinke, F. Wenzel, Esther Bron
Differences Between MR Brain Region Segmentation Methods: Impact on Single-Subject Analysis. Frontiers Big Data 4: 577164 (2021) - [j29]Bo Li
Longitudinal diffusion MRI analysis using Segis-Net: A single-step deep-learning framework for simultaneous segmentation and registration. NeuroImage 235: 118004 (2021) - [j28]Vikram Venkatraghavan, Elisabeth J. Vinke, Esther E. Bron
Progression along data-driven disease timelines is predictive of Alzheimer's disease in a population-based cohort. NeuroImage 238: 118233 (2021) - [c24]Bo Li, Wiro J. Niessen, Stefan Klein
Learning unbiased group-wise registration (LUGR) and joint segmentation: evaluation on longitudinal diffusion MRI. Medical Imaging: Image Processing 2021 - [i14]Gerda Bortsova, Daniel Bos, Florian Dubost, Meike W. Vernooij, M. Kamran Ikram, Gijs van Tulder, Marleen de Bruijne:
Automated Segmentation and Volume Measurement of Intracranial Carotid Artery Calcification on Non-Contrast CT. CoRR abs/2107.09442 (2021) - 2020
- [j27]Florian Dubost
Multi-atlas image registration of clinical data with automated quality assessment using ventricle segmentation. Medical Image Anal. 63: 101698 (2020) - [j26]Florian Dubost
Weakly supervised object detection with 2D and 3D regression neural networks. Medical Image Anal. 65: 101767 (2020) - [j25]Maria Rodriguez-Ayllon
Associations of physical activity and screen time with white matter microstructure in children from the general population. NeuroImage 205 (2020) - [j24]Sander Lamballais
Cortical gyrification in relation to age and cognition in older adults. NeuroImage 212: 116637 (2020) - [j23]Bo Li, Marius de Groot, Rebecca M. E. Steketee
Neuro4Neuro: A neural network approach for neural tract segmentation using large-scale population-based diffusion imaging. NeuroImage 218: 116993 (2020) - [j22]Hakim C. Achterberg
Spatially Regularized Shape Analysis of the Hippocampus Using P-Spline Based Shape Regression. IEEE J. Biomed. Health Informatics 24(3): 825-834 (2020) - [j21]Georgius A. M. Arkesteijn
Orientation Prior and Consistent Model Selection Increase Sensitivity of Tract-Based Spatial Statistics in Crossing-Fiber Regions. IEEE Trans. Medical Imaging 39(2): 308-319 (2020) - [i13]Oliver Werner, Kimberlin M. H. van Wijnen, Wiro J. Niessen, Marius de Groot, Meike W. Vernooij, Florian Dubost, Marleen de Bruijne:
When Weak Becomes Strong: Robust Quantification of White Matter Hyperintensities in Brain MRI scans. CoRR abs/2004.05578 (2020) - [i12]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:
Neuro4Neuro: A neural network approach for neural tract segmentation using large-scale population-based diffusion imaging. CoRR abs/2005.12838 (2020) - [i11]Bo Li, Wiro J. Niessen, Stefan Klein, Mohammad Arfan Ikram, Meike W. Vernooij, Esther E. Bron:
Learning unbiased registration and joint segmentation: evaluation on longitudinal diffusion MRI. CoRR abs/2011.01869 (2020) - [i10]Bo Li, Wiro J. Niessen, Stefan Klein, Marius de Groot, Mohammad Arfan Ikram, Meike W. Vernooij, Esther E. Bron:
Longitudinal diffusion MRI analysis using Segis-Net: a single-step deep-learning framework for simultaneous segmentation and registration. CoRR abs/2012.14230 (2020)
2010 – 2019
- 2019
- [j20]Florian Dubost
3D regression neural network for the quantification of enlarged perivascular spaces in brain MRI. Medical Image Anal. 51: 89-100 (2019) - [j19]Florian Dubost, Pinar Yilmaz, Hieab Adams, Gerda Bortsova
Enlarged perivascular spaces in brain MRI: Automated quantification in four regions. NeuroImage 185: 534-544 (2019) - [j18]Hazel I. Zonneveld, Raimon H. R. Pruim
Patterns of functional connectivity in an aging population: The Rotterdam Study. NeuroImage 189: 432-444 (2019) - [j17]Natalia Vilor-Tejedor
Independent Multiple Factor Association Analysis for Multiblock Data in Imaging Genetics. Neuroinformatics 17(4): 583-592 (2019) - [j16]Neda Jahanshad
Multi-Site Meta-Analysis of Morphometry. IEEE ACM Trans. Comput. Biol. Bioinform. 16(5): 1508-1514 (2019) - [j15]Annegreet van Opbroek
Transfer Learning for Image Segmentation by Combining Image Weighting and Kernel Learning. IEEE Trans. Medical Imaging 38(1): 213-224 (2019) - [c23]Florian Dubost, Max Dünnwald, Denver Huff, Vincent Scheumann, Frank Schreiber, Meike W. Vernooij, Wiro J. Niessen, Martin Skalej, Stefanie Schreiber
Automated Quantification of Enlarged Perivascular Spaces in Clinical Brain MRI Across Sites. OR/MLCN@MICCAI 2019: 103-111 - [c22]Kimberlin M. H. van Wijnen, Florian Dubost, Pinar Yilmaz, Mohammad Arfan Ikram
Automated Lesion Detection by Regressing Intensity-Based Distance with a Neural Network. MICCAI (4) 2019: 234-242 - [c21]Florian Dubost, Gerda Bortsova
Hydranet: Data Augmentation for Regression Neural Networks. MICCAI (4) 2019: 438-446 - [c20]Bo Li, Wiro J. Niessen, Stefan Klein
A Hybrid Deep Learning Framework for Integrated Segmentation and Registration: Evaluation on Longitudinal White Matter Tract Changes. MICCAI (3) 2019: 645-653 - [i9]Florian Dubost, Hieab Adams, Pinar Yilmaz, Gerda Bortsova, Gijs van Tulder, Mohammad Arfan Ikram, Wiro J. Niessen, Meike W. Vernooij, Marleen de Bruijne:
Weakly Supervised Object Detection with 2D and 3D Regression Neural Networks. CoRR abs/1906.01891 (2019) - [i8]Florian Dubost, Marleen de Bruijne, Marco Nardin, Adrian V. Dalca, Kathleen L. Donahue, Anne-Katrin Giese, Mark R. Etherton, Ona Wu, Marius de Groot, Wiro J. Niessen, Meike W. Vernooij, Natalia S. Rost, Markus D. Schirmer
Automated Image Registration Quality Assessment Utilizing Deep-learning based Ventricle Extraction in Clinical Data. CoRR abs/1907.00695 (2019) - [i7]Kimberlin M. H. van Wijnen, Florian Dubost, Pinar Yilmaz, Mohammad Arfan Ikram, Wiro J. Niessen, Hieab Adams, Meike W. Vernooij, Marleen de Bruijne:
Automated Lesion Detection by Regressing Intensity-Based Distance with a Neural Network. CoRR abs/1907.12452 (2019) - [i6]Bo Li, Marius de Groot, Meike W. Vernooij, Mohammad Arfan Ikram, Wiro J. Niessen, Esther Bron
Reproducible White Matter Tract Segmentation Using 3D U-Net on a Large-scale DTI Dataset. CoRR abs/1908.10219 (2019) - [i5]Bo Li, Wiro J. Niessen, Stefan Klein, Marius de Groot, Mohammad Arfan Ikram, Meike W. Vernooij, Esther Bron
A hybrid deep learning framework for integrated segmentation and registration: evaluation on longitudinal white matter tract changes. CoRR abs/1908.10221 (2019) - 2018
- [j14]Wyke Huizinga, Dirk H. J. Poot, Meike W. Vernooij
A spatio-temporal reference model of the aging brain. NeuroImage 169: 11-22 (2018) - [j13]Tavia E. Evans, Hieab H. H. Adams, Silvan Licher, Frank J. Wolters, Aad van der Lugt, M. Kamran Ikram
Subregional volumes of the hippocampus in relation to cognitive function and risk of dementia. NeuroImage 178: 129-135 (2018) - [j12]Carolyn D. Langen, Lotte G. M. Cremers, Marius de Groot, Tonya White
Disconnection due to white matter hyperintensities is associated with lower cognitive scores. NeuroImage 183: 745-756 (2018) - [c19]Bo Li, Marius de Groot, Meike W. Vernooij, Mohammad Arfan Ikram, Wiro J. Niessen, Esther E. Bron
Reproducible White Matter Tract Segmentation Using 3D U-Net on a Large-scale DTI Dataset. MLMI@MICCAI 2018: 205-213 - [i4]Florian Dubost, Hieab Adams, Gerda Bortsova, Mohammad Arfan Ikram, Wiro J. Niessen, Meike W. Vernooij, Marleen de Bruijne:
3D Regression Neural Network for the Quantification of Enlarged Perivascular Spaces in Brain MRI. CoRR abs/1802.05914 (2018) - [i3]Florian Dubost, Gerda Bortsova, Hieab Adams, Mohammad Arfan Ikram, Wiro J. Niessen, Meike W. Vernooij, Marleen de Bruijne:
Hydranet: Data Augmentation for Regression Neural Networks. CoRR abs/1807.04798 (2018) - 2017
- [c18]Carolyn D. Langen, Gennady V. Roshchupkin, Hieab H. Adams, Marius de Groot, Frans Vos, Meike W. Vernooij, Mohammad Arfan Ikram, Wiro J. Niessen:
Heritability of connectivity and disconnectivity of the brain in a population-based study. ISBI 2017: 349-353 - [c17]Carolyn D. Langen, Meike W. Vernooij, Lotte G. M. Cremers, Wyke Huizinga, Marius de Groot, Mohammad Arfan Ikram, Tonya White
The structural disconnectome: A pathology-sensitive extension of the structural connectome. ISBI 2017: 366-370 - [c16]Georgius A. M. Arkesteijn, Dirk H. J. Poot, M. Niestijl, Meike W. Vernooij, Wiro J. Niessen, Lucas J. van Vliet, Frans M. Vos:
Longitudinal analysis of diffusion-weighted MRI with a ball-and-sticks model. ISBI 2017: 783-786 - [c15]Florian Dubost, Gerda Bortsova
GP-Unet: Lesion Detection from Weak Labels with a 3D Regression Network. MICCAI (3) 2017: 214-221 - [i2]Veronika Cheplygina, Annegreet van Opbroek, Mohammad Arfan Ikram, Meike W. Vernooij, Marleen de Bruijne
Transfer Learning by Asymmetric Image Weighting for Segmentation across Scanners. CoRR abs/1703.04981 (2017) - [i1]Florian Dubost, Gerda Bortsova, Hieab Adams, Mohammad Arfan Ikram, Wiro J. Niessen, Meike W. Vernooij, Marleen de Bruijne:
GP-Unet: Lesion Detection from Weak Labels with a 3D Regression Network. CoRR abs/1705.07999 (2017) - 2016
- [c14]Veronika Cheplygina
Asymmetric similarity-weighted ensembles for image segmentation. ISBI 2016: 273-277 - [c13]Wyke Huizinga, Dirk H. J. Poot, Gennady V. Roshchupkin, Esther E. Bron
Modeling the brain morphology distribution in the general aging population. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2016: 97880I - 2015
- [j11]Annegreet van Opbroek
Weighting training images by maximizing distribution similarity for supervised segmentation across scanners. Medical Image Anal. 24(1): 245-254 (2015) - [j10]Annegreet van Opbroek
Transfer Learning Improves Supervised Image Segmentation Across Imaging Protocols. IEEE Trans. Medical Imaging 34(5): 1018-1030 (2015) - [c12]Georgius A. M. Arkesteijn, Dirk H. J. Poot, Meike de Groot, Meike W. Vernooij, Wiro J. Niessen
CSF contamination-invariant statistics in diffusion-weighted MRI. ISBI 2015: 454-457 - 2013
- [j9]Marius de Groot
Improving alignment in Tract-based spatial statistics: Evaluation and optimization of image registration. NeuroImage 76: 400-411 (2013) - [c11]Annegreet van Opbroek, Mohammad Arfan Ikram, Meike W. Vernooij, Marleen de Bruijne
A Transfer-Learning Approach to Image Segmentation Across Scanners by Maximizing Distribution Similarity. MLMI 2013: 49-56 - [c10]Hakim C. Achterberg, Dirk H. J. Poot, Fedde van der Lijn, Meike W. Vernooij, Mohammad Arfan Ikram, Wiro J. Niessen
Local appearance features for robust MRI brain structure segmentation across scanning protocols. Medical Imaging: Image Processing 2013: 866905 - 2012
- [j8]Fedde van der Lijn, Benjamin F. J. Verhaaren
Automated measurement of local white matter lesion volume. NeuroImage 59(4): 3901-3908 (2012) - [j7]Tom den Heijer, Fedde van der Lijn, Meike W. Vernooij
Structural and diffusion MRI measures of the hippocampus and memory performance. NeuroImage 63(4): 1782-1789 (2012) - [c9]Babak Ghafaryasl, Fedde van der Lijn, Marielle Poels, Henri A. Vrooman, Mohammad Arfan Ikram, Wiro J. Niessen
A computer aided detection system for cerebral microbleeds in brain MRI. ISBI 2012: 138-141 - [c8]Wiro J. Niessen, Henri A. Vrooman, Renske de Boer, Fedde van der Lijn, Hakim C. Achterberg, Marcel Koek, Stefan Klein, Aad van der Lugt, Marleen de Bruijne
Quantitative imaging biomarkers in neurologic disease: Population study perspective. ISBI 2012: 911 - [c7]Annegreet van Opbroek, Mohammad Arfan Ikram, Meike W. Vernooij, Marleen de Bruijne
Supervised Image Segmentation across Scanner Protocols: A Transfer Learning Approach. MLMI 2012: 160-167 - 2011
- [j6]Renske de Boer, Michiel Schaap, Fedde van der Lijn, Henri A. Vrooman, Marius de Groot
Statistical analysis of minimum cost path based structural brain connectivity. NeuroImage 55(2): 557-565 (2011) - [c6]Dirk H. J. Poot, Marleen de Bruijne
Improved Tissue Segmentation by Including an MR Acquisition Model. MBIA 2011: 152-159 - 2010
- [j5]Renske de Boer, Henri A. Vrooman, Mohammad Arfan Ikram
Accuracy and reproducibility study of automatic MRI brain tissue segmentation methods. NeuroImage 51(3): 1047-1056 (2010) - [c5]Renske de Boer, Michiel Schaap, Fedde van der Lijn, Henri A. Vrooman, Marius de Groot
Statistical Analysis of Structural Brain Connectivity. MICCAI (2) 2010: 101-108
2000 – 2009
- 2009
- [j4]Renske de Boer, Henri A. Vrooman, Fedde van der Lijn, Meike W. Vernooij
White matter lesion extension to automatic brain tissue segmentation on MRI. NeuroImage 45(4): 1151-1161 (2009) - [c4]Marius de Groot
Iterative Co-linearity Filtering and Parameterization of Fiber Tracts in the Entire Cingulum. MICCAI (1) 2009: 853-860 - 2008
- [j3]Meike W. Vernooij
White matter atrophy and lesion formation explain the loss of structural integrity of white matter in aging. NeuroImage 43(3): 470-477 (2008) - 2007
- [j2]Meike W. Vernooij
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. NeuroImage 35(3): 1064-1076 (2007) - [j1]Henri A. Vrooman, Chris A. Cocosco, Fedde van der Lijn, Rik Stokking, Mohammad Arfan Ikram
Multi-spectral brain tissue segmentation using automatically trained k-Nearest-Neighbor classification. NeuroImage 37(1): 71-81 (2007) - [c3]Renske de Boer, Fedde van der Lijn, Henri A. Vrooman, Meike W. Vernooij, Mohammad Arfan Ikram, Monique M. B. Breteler
Automatic Segmentation of Brain Tissue Andwhitematter Lesions in MRI. ISBI 2007: 652-655 - [c2]Fedde van der Lijn, Meike W. Vernooij, Mohammad Arfan Ikram, Henri A. Vrooman, Daniel Rueckert
Automated localization of periventricular and subcortical white matter lesions. Medical Imaging: Image Processing 2007: 651232 - 2006
- [c1]Henri A. Vrooman, Chris A. Cocosco, Rik Stokking, Mohammad Arfan Ikram, Meike W. Vernooij, Monique M. B. Breteler, Wiro J. Niessen
kNN-based multi-spectral MRI brain tissue classification: manual training versus automated atlas-based training. Medical Imaging: Image Processing 2006: 61443L
Coauthor Index
Esther Bron
aka: Esther E. Bron
aka: Esther E. Bron
[j31] [i16] [j30] [j29] [j28] [c24] [j26] [j24] [j23] [j22] [j21] [i12] [i11] [i10] [j20] [j19] [j18] [j17] [j16] [c22] [c21] [c20] [i9] [i7] [i6] [i5] [j14] [j13] [j12] [c19] [i4] [i3] [c18] [c17] [c15] [i2] [i1] [c14] [c13] [j11] [j10] [j9] [c11] [c10] [j8] [c9] [c8] [c7] [j6] [c6] [j5] [c5] [j4] [j3] [j1] [c3] [c2] [c1]
[i18] [j30] [j29] [j28] [c24] [j27] [j26] [j23] [j22] [j21] [i13] [i12] [i11] [i10] [j20] [j19] [j18] [j17] [j16] [c23] [c22] [c21] [c20] [i9] [i8] [i7] [i6] [i5] [j14] [j12] [c19] [i4] [i3] [c18] [c17] [c16] [c15] [i1] [c13] [c12] [j9] [c10] [j8] [j7] [c9] [c8] [j6] [c6] [j5] [j4] [c4] [j3] [j1] [c3] [c2] [c1]
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last updated on 2024-10-07 22:24 CEST by the dblp team
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