Viergever, Max A.

Elastix: a toolbox for intensity-based medical image registration

Klein, S., Staring, M., Murphy, K., Viergever, M. A., & Pluim, J. (2010) · IEEE Transactions on Medical Imaging

Medical Image Segmentation TechniquesAdvanced Radiotherapy Techniques

Cited by 4,311

Ridge-based vessel segmentation in color images of the retina

Staal, J., Abramoff, M. D., Niemeijer, M., Viergever, M. A., & van Ginneken, B. (2004) · IEEE Transactions on Medical Imaging

Retinal Imaging and AnalysisMedical Image Segmentation Techniques

Cited by 4,202

Explainable artificial intelligence (XAI) in deep learning-based medical image analysis

van der Velden, B. H. M., Kuijf, H. J., Gilhuijs, K. G. A., & Viergever, M. A. (2022) · Medical Image Analysis

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

Cited by 1,328

Automatic Segmentation of MR Brain Images With a Convolutional Neural Network

Moeskops, P., Viergever, M. A., Mendrik, A. M., de Vries, L. S., Benders, M. J. N. L., & Isgum, I. (2016) · IEEE Transactions on Medical Imaging

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 861

A deep learning framework for unsupervised affine and deformable image registration

de Vos, B. D., Berendsen, F. F., Viergever, M. A., Sokooti, H., Staring, M., & Išgum, I. (2019) · Medical Image Analysis

Medical Image Segmentation TechniquesDomain Adaptation and Few-Shot Learning

Cited by 818

Image registration by maximization of combined mutual information and gradient information

Pluim, J. P. W., Maintz, J. B. A., & Viergever, M. A. (2000) · IEEE Transactions on Medical Imaging

Medical Image Segmentation TechniquesAdvanced Radiotherapy Techniques

Cited by 670

Partial volume effect as a hidden covariate in DTI analyses

Vos, S. B., Jones, D. K., Viergever, M. A., & Leemans, A. (2011) · NeuroImage

Advanced Neuroimaging Techniques and ApplicationsFunctional Brain Connectivity Studies

Cited by 345

Automatic coronary artery calcium scoring in cardiac CT angiography using paired convolutional neural networks

Wolterink, J. M., Leiner, T., de Vos, B. D., van Hamersvelt, R. W., Viergever, M. A., & Išgum, I. (2016) · Medical Image Analysis

Cardiac Imaging and DiagnosticsMedical Image Segmentation Techniques

Cited by 321

Automatic Calcium Scoring in Low-Dose Chest CT Using Deep Neural Networks With Dilated Convolutions

Lessmann, N., van Ginneken, B., Zreik, M., de Jong, P. A., de Vos, B. D., Viergever, M. A., & Isgum, I. (2018) · IEEE Transactions on Medical Imaging

Cardiac Imaging and DiagnosticsCOVID-19 diagnosis using AI

Cited by 263

MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans

Mendrik, A. M., Vincken, K. L., Kuijf, H. J., Breeuwer, M., Bouvy, W. H., de Bresser, J., Alansary, A., de Bruijne, M., Carass, A., El-Baz, A., et al. (2015) · Computational Intelligence and Neuroscience

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 261

Deep Learning for Automatic Calcium Scoring in CT: Validation Using Multiple Cardiac CT and Chest CT Protocols

van Velzen, S. G. M., Lessmann, N., Velthuis, B. K., Bank, I. E. M., van den Bongard, D. H. J. G., Leiner, T., de Jong, P. A., Veldhuis, W. B., Correa, A., Terry, J. G., et al. (2020) · Radiology

Cardiac Imaging and DiagnosticsArtificial Intelligence in Healthcare and Education

Cited by 244

Volumetric analysis of frontal lobe regions in schizophrenia: relation to cognitive function and symptomatology

Baaré, W. F. C., Hulshoff Pol, H. E., Hijman, R., Th. Mali, W. P., Viergever, M. A., & Kahn, R. S. (1999) · Biological Psychiatry

Schizophrenia research and treatmentNeural and Behavioral Psychology Studies

Cited by 176

Effects of early nutrition and growth on brain volumes, white matter microstructure, and neurodevelopmental outcome in preterm newborns

Coviello, C., Keunen, K., Kersbergen, K. J., Groenendaal, F., Leemans, A., Peels, B., Isgum, I., Viergever, M. A., de Vries, L. S., Buonocore, G., et al. (2018) · Pediatric Research

Infant Nutrition and HealthInfant Development and Preterm Care

Cited by 169

ConvNet-Based Localization of Anatomical Structures in 3-D Medical Images

de Vos, B. D., Wolterink, J. M., de Jong, P. A., Leiner, T., Viergever, M. A., & Isgum, I. (2017) · IEEE Transactions on Medical Imaging

Medical Image Segmentation TechniquesMedical Imaging and Analysis

Cited by 133

Brain Volumes at Term-Equivalent Age in Preterm Infants: Imaging Biomarkers for Neurodevelopmental Outcome through Early School Age

Keunen, K., Išgum, I., van Kooij, B. J. M., Anbeek, P., van Haastert, I. C., Koopman-Esseboom, C., Fieret-van Stam, P. C., Nievelstein, R. A. J., Viergever, M. A., de Vries, L. S., et al. (2016) · The Journal of Pediatrics

Infant Development and Preterm CareNeonatal and fetal brain pathology

Cited by 132

Sex Differences in Coronary Artery and Thoracic Aorta Calcification and Their Association With Cardiovascular Mortality in Heavy Smokers

Lessmann, N., de Jong, P. A., Celeng, C., Takx, R. A. P., Viergever, M. A., van Ginneken, B., & Išgum, I. (2019) · JACC: Cardiovascular Imaging

Cardiac Imaging and DiagnosticsMedical Imaging and Pathology Studies

Cited by 49

Sweet lies: Neural, visual, and behavioral measures reveal a lack of self-control conflict during food choice in weight-concerned women

van der Laan, L. N., de Ridder, D. T. D., Charbonnier, L., Viergever, M. A., & Smeets, P. A. M. (2014) · Frontiers in Behavioral Neuroscience

Eating Disorders and BehaviorsBehavioral Health and Interventions

Cited by 39