Niessen, Wiro J.

Cortical abnormalities in adults and adolescents with major depression based on brain scans from 20 cohorts worldwide in the ENIGMA Major Depressive Disorder Working Group

for the ENIGMA-Major Depressive Disorder Working Group, Schmaal, L., Hibar, D. P., Sämann, P. G., Hall, G. B., Baune, B. T., Jahanshad, N., Cheung, J. W., van Erp, T. G. M., Bos, D., et al. (2017) · Molecular Psychiatry

Treatment of Major DepressionNeural and Behavioral Psychology Studies

Cited by 1,330

Subcortical brain alterations in major depressive disorder: Findings from the ENIGMA Major Depressive Disorder working group

for the ENIGMA-Major Depressive Disorder Working Group, Schmaal, L., Veltman, D. J., van Erp, T. G. M., Sämann, P. G., Frodl, T., Jahanshad, N., Loehrer, E., Tiemeier, H., Hofman, A., et al. (2016) · Molecular Psychiatry

Treatment of Major DepressionNeural and Behavioral Psychology Studies

Cited by 1,172

Prevalence and risk factors of cerebral microbleeds: The Rotterdam Scan Study

Vernooij, M. W., van der Lugt, A., Ikram, M. A., Wielopolski, P. A., Niessen, W. J., Hofman, A., Krestin, G. P., & Breteler, M. M. B. (2008) · Neurology

Intracerebral and Subarachnoid Hemorrhage ResearchCerebrovascular and genetic disorders

Cited by 793

Cerebral microbleeds are associated with worse cognitive function: The Rotterdam Scan Study

Poels, M. M. F., Ikram, M. A., van der Lugt, A., Hofman, A., Niessen, W. J., Krestin, G. P., Breteler, M. M. B., & Vernooij, M. W. (2012) · Neurology

Cerebrovascular and genetic disordersDementia and Cognitive Impairment Research

Cited by 378

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

Bron, E. E., Smits, M., van der Flier, W. M., Vrenken, H., Barkhof, F., Scheltens, P., Papma, J. M., Steketee, R. M. E., Méndez Orellana, C., Meijboom, R., et al. (2015) · NeuroImage

Dementia and Cognitive Impairment ResearchMedical Image Segmentation Techniques

Cited by 352

White Matter Microstructural Integrity and Cognitive Function in a General Elderly Population

Vernooij, M. W., Ikram, M. A., Vrooman, H. A., Wielopolski, P. A., Krestin, G. P., Hofman, A., Niessen, W. J., Van der Lugt, A., & Breteler, M. M. B. (2009) · Archives of General Psychiatry

Advanced Neuroimaging Techniques and ApplicationsDementia and Cognitive Impairment Research

Cited by 335

A Genome-Wide Association Study Identifies Five Loci Influencing Facial Morphology in Europeans

Liu, F., van der Lijn, F., Schurmann, C., Zhu, G., Chakravarty, M. M., Hysi, P. G., Wollstein, A., Lao, O., de Bruijne, M., Ikram, M. A., et al. (2012) · PLoS Genetics

Genetic Associations and EpidemiologyMorphological variations and asymmetry

Cited by 326

Novel genetic loci associated with hippocampal volume

Hibar, D. P., Adams, H. H. H., Jahanshad, N., Chauhan, G., Stein, J. L., Hofer, E., Renteria, M. E., Bis, J. C., Arias-Vasquez, A., Ikram, M. K., et al. (2017) · Nature Communications

Genetic Associations and EpidemiologyMemory and Neural Mechanisms

Cited by 299

Integrating artificial intelligence into the clinical practice of radiology: challenges and recommendations

Recht, M. P., Dewey, M., Dreyer, K., Langlotz, C., Niessen, W., Prainsack, B., & Smith, J. J. (2020) · European Radiology

Artificial Intelligence in Healthcare and EducationRadiology practices and education

Cited by 268

A comparative study of software programmes for cross‐sectional skeletal muscle and adipose tissue measurements on abdominal computed tomography scans of rectal cancer patients

van Vugt, J. L. A., Levolger, S., Gharbharan, A., Koek, M., Niessen, W. J., Burger, J. W. A., Willemsen, S. P., de Bruin, R. W. F., & IJzermans, J. N. M. (2017) · Journal of Cachexia, Sarcopenia and Muscle

Body Composition Measurement TechniquesNutrition and Health in Aging

Cited by 217

Tract-specific white matter degeneration in aging. The Rotterdam Study

de Groot, M., Ikram, M. A., Akoudad, S., Krestin, G. P., Hofman, A., van der Lugt, A., Niessen, W. J., & Vernooij, M. W. (2015) · Alzheimer's & Dementia

Advanced Neuroimaging Techniques and ApplicationsCerebrovascular and genetic disorders

Cited by 211

Improving alignment in Tract-based spatial statistics: evaluation and optimization of image registration

de Groot, M., Vernooij, M. W., Klein, S., Ikram, M. A., Vos, F. M., Smith, S. M., Niessen, W. J., & Andersson, J. L. R. (2013) · NeuroImage

Advanced Neuroimaging Techniques and ApplicationsMedical Image Segmentation Techniques

Cited by 205

Fully Automatic and Real-Time Catheter Segmentation in X-Ray Fluoroscopy

Ambrosini, P., Ruijters, D., Niessen, W. J., Moelker, A., & van Walsum, T. (2017) · Lecture Notes in Computer Science

Medical Image Segmentation TechniquesMedical Imaging and Analysis

Cited by 102

Diagnostic classification of arterial spin labeling and structural MRI in presenile early stage dementia

Bron, E. E., Steketee, R. M. E., Houston, G. C., Oliver, R. A., Achterberg, H. C., Loog, M., van Swieten, J. C., Hammers, A., Niessen, W. J., Smits, M., et al. (2014) · Human Brain Mapping

Dementia and Cognitive Impairment ResearchAdvanced MRI Techniques and Applications

Cited by 93

Multiparametric computer-aided differential diagnosis of Alzheimer’s disease and frontotemporal dementia using structural and advanced MRI.

Bron, E. E., Smits, M., Papma, J. M., Steketee, R. M. E., Meijboom, R., de Groot, M., van Swieten, J. C., Niessen, W. J., & Klein, S. (2017) · European Radiology

Dementia and Cognitive Impairment ResearchAdvanced MRI Techniques and Applications

Cited by 84

Age-Dependent Effects of Methylphenidate on the Human Dopaminergic System in Young vs Adult Patients With Attention-Deficit/Hyperactivity Disorder: A Randomized Clinical Trial

Schrantee, A., Tamminga, H. G. H., Bouziane, C., Bottelier, M. A., Bron, E. E., Mutsaerts, H.-J. M. M., Zwinderman, A. H., Groote, I. R., Rombouts, S. A. R. B., Lindauer, R. J. L., et al. (2016) · JAMA Psychiatry

Attention Deficit Hyperactivity DisorderNeurotransmitter Receptor Influence on Behavior

Cited by 77

AI in radiological imaging of soft-tissue and bone tumours: a systematic review evaluating against CLAIM and FUTURE-AI guidelines

Spaanderman, D. J., Marzetti, M., Wan, X., Scarsbrook, A. F., Robinson, P., Oei, E. H. G., Visser, J. J., Hemke, R., van Langevelde, K., Hanff, D. F., et al. (2025) · eBioMedicine

Artificial Intelligence in Healthcare and EducationRadiomics and Machine Learning in Medical Imaging

Cited by 26

Detecting Genetic Interactions with Visible Neural Networks

van Hilten, A., Melograna, F., Fan, B., Niessen, W., van Steen, K., & Roshchupkin, G. (2024) · bioRxiv (Cold Spring Harbor Laboratory)

Genetic Associations and EpidemiologyBioinformatics and Genomic Networks

Cited by 3