1. 2020
  2. 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., 17 Feb 2020, In : European Radiology. 9 p.

    Research output: Contribution to journalArticleScientificpeer-review

  3. Automated Estimation of the Spinal Curvature via Spine Centerline Extraction with Ensembles of Cascaded Neural Networks

    Dubost, F., Collery, B., Renaudier, A., Roc, A., Posocco, N., Niessen, W. & de Bruijne, M., 2020, Computational Methods and Clinical Applications for Spine Imaging - 6th International Workshop and Challenge, CSI 2019, Proceedings. Cai, Y., Wang, L., Audette, M., Zheng, G. & Li, S. (eds.). Springer Open, p. 88-94 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11963 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  4. ESMRMB Round Table report on “Can Europe Lead in Machine Learning of MRI-Data?”

    Pizzini, F. B., Pesapane, F., Niessen, W., Geerts-Ossevoort, L. & Broeckx, N., 2020, In : Magnetic Resonance Materials in Physics, Biology and Medicine. 3 p.

    Research output: Contribution to journalEditorialScientific

  5. Predicting Global Cognitive Decline in the General Population Using the Disease State Index

    Cremers, L. G. M., Huizinga, W., Niessen, W. J., Krestin, G. P., Poot, D. H. J., Ikram, M. A., Lötjönen, J., Klein, S. & Vernooij, M. W., 2020, In : Frontiers in Aging Neuroscience. 11, 12 p., 379.

    Research output: Contribution to journalArticleScientificpeer-review

  6. 2019
  7. Gray Matter Age Prediction as a Biomarker for Risk of Dementia

    Wang, J., Knol, M. J., Tiulpin, A., Dubost, F., de Bruijne, M., Vernooij, M. W., Adams, H. H. H., Ikram, M. A., Niessen, W. J. & Roshchupkin, G. V., 15 Oct 2019, In : Proceedings of the National Academy of Sciences of the United States of America. 116, 42, p. 21213-21218

    Research output: Contribution to journalArticleScientificpeer-review

  8. 3D regression neural network for the quantification of enlarged perivascular spaces in brain MRI

    Dubost, F., Adams, H., Bortsova, G., Ikram, M. A., Niessen, W., Niessen, W., Vernooij, M., de Bruijne, M. & de Bruijne, M., 2019, In : Medical Image Analysis. 51, p. 89-100

    Research output: Contribution to journalArticleScientificpeer-review

  9. A Hybrid Deep Learning Framework for Integrated Segmentation and Registration: Evaluation on Longitudinal White Matter Tract Changes

    Li, B., Niessen, W., Klein, S., de Groot, M., Arfan Ikram, M., Vernooij, M. & Bron, E. E., 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 . Shen, D., Liu, T., Peters, T. M., Staib, L. H., Essert, C., Zhou, S., Yap, P-T. & Khan, A. (eds.). Springer, p. 645-653 (Lecture Notes in Computer Science ; vol. 11766).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  10. A genome-wide association study identifies genetic loci associated with specific lobar brain volumes

    van der Lee, S. J., Knol, M. J., Chauhan, G., Satizabal, C. L., Smith, A. V., Hofer, E., Bis, J. C., van den Akker, E. B., Niessen, W. J. & More Authors, 2019, In : Communications Biology. 2, 1, p. 1-9 9 p., 285.

    Research output: Contribution to journalArticleScientificpeer-review

  11. Automated Lesion Detection by Regressing Intensity-Based Distance with a Neural Network

    van Wijnen, K. M. H., Dubost, F., Yilmaz, P., Ikram, M. A., Niessen, W., Adams, H., Vernooij, M. W. & de Bruijne, M., 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 . Shen, D. (ed.). Springer, p. 234-242 (Lecture Notes in Computer Science; vol. 11767).

    Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

  12. Automated Quantification of Enlarged Perivascular Spaces in Clinical Brain MRI across Sites

    Dubost, F., Dünnwald, M., Huff, D., Scheurmann, V., Schreiber, F., Vernooij, M. W., Niessen, W., Skalej, M., Schreiber, S. & More Authors, 2019, Proceedings of 2nd International Workshop on Context-Aware Surgical Theaters,OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging, MLCN 2019. Zhou, L., Sarikaya, D., Kia, S. M., Speidel, S., Malpani, A., Hashimoto, D., Habes, M., Löfstedt, T., Ritter, K. & Wang, H. (eds.). Springer, p. 103-111 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11796 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  13. Clinical value of cerebrospinal fluid neurofilament light chain in semantic dementia

    Meeter, L. H. H., Steketee, R. M. E., Salkovic, D., Vos, M. E., Grossman, M., McMillan, C. T., Niessen, W. J., Papma, J. M., De Jong, F. J. & More Authors, 2019, In : Journal of Neurology, Neurosurgery and Psychiatry. 90, 9, p. 997-1004 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  14. Cognitive functioning in patients with disorders along the heart-brain axis: the role of cerebral blood flow

    Leeuwis, A. E., Hooghiemstra, A. M., Bron, E. E., Kuipers, S., Oudeman, E. A., Kalay, T., Brunner-La-Rocco, H-P. H. P., Kappelle, L. J., Niessen, W. & More Authors, 2019, p. 755.

    Research output: Contribution to conferenceAbstractScientific

  15. Detection of mild cognitive impairment in a community-dwelling population using quantitative, multiparametric MRI-based classification

    Bouts, M. J. R. J., van der Grond, J., Vernooij, M. W., Koini, M., Schouten, T. M., de Vos, F., Feis, R. A., Lechner, A., Niessen, W. J. & More Authors, 2019, In : Human Brain Mapping. 40, 9, p. 2711-2722 12 p.

    Research output: Contribution to journalArticleScientificpeer-review

  16. Disease progression timeline estimation for Alzheimer's disease using discriminative event based modeling

    Venkatraghavan, V., Bron, E. E., Niessen, W. J. & Klein, S., 2019, In : NeuroImage. 186, p. 518-532

    Research output: Contribution to journalArticleScientificpeer-review

  17. Enlarged perivascular spaces in brain MRI: Automated quantification in four regions

    Dubost, F., Yilmaz, P., Adams, H., Bortsova, G., Ikram, M. A., Niessen, W., Vernooij, M. & de Bruijne, M., 2019, In : NeuroImage. 185, p. 534-544

    Research output: Contribution to journalArticleScientificpeer-review

  18. Event-Based Modeling with High-Dimensional Imaging Biomarkers for Estimating Spatial Progression of Dementia

    Venkatraghavan, V., Dubost, F., Bron, E. E., Niessen, W. J., de Bruijne, M. & Klein, S., 2019, Information Processing in Medical Imaging - 26th International Conference, IPMI 2019, Proceedings. Chung, A. C. S., Gee, J. C., Yushkevich, P. A. & Bao, S. (eds.). Springer, Vol. 11492. p. 169-180 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11492 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  19. Full exploitation of high dimensionality in brain imaging: The JPND working group statement and findings

    Adams, H. H. H., Roshchupkin, G. V., DeCarli, C., Franke, B., Grabe, H. J., Habes, M., Jahanshad, N., Medland, S. E., Niessen, W. & More Authors, 2019, In : Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring. 11, p. 286-290 5 p.

    Research output: Contribution to journalArticleScientificpeer-review

  20. Genetic Determinants of Cortical Structure (Thickness, Surface Area and Volumes) among Disease Free Adults in the CHARGE Consortium

    Niessen, W., 2019, (Accepted/In press) In : bioRxiv.

    Research output: Contribution to journalArticleScientific

  21. Genetic architecture of subcortical brain structures in 38,851 individuals

    Satizabal, C. L., Adams, H. H. H., Arfan Ikram, M. & Niessen, W., 2019, In : Nature Genetics. 51, 11, p. 1624-1636

    Research output: Contribution to journalArticleScientificpeer-review

  22. Genetic variation underlying cognition and its relation with neurological outcomes and brain imaging

    Knol, M. J., Heshmatollah, A., Cremers, L. G. M., Ikram, M. K., Uitterlinden, A. G., van Duijn, C. M., Niessen, W. J., Vernooij, M. W., Ikram, M. A. & Adams, H. H. H., 2019, In : Aging. 11, 5, p. 1440-1456

    Research output: Contribution to journalArticleScientificpeer-review

  23. Groupwise multichannel image registration

    Guyader, J. M., Huizinga, W., Fortunati, V., Poot, D. H. J., Veenland, J. F., Paulides, M. M., Niessen, W. J. & Klein, S., 2019, In : IEEE Journal of Biomedical and Health Informatics. 23, 3, p. 1171-1180 8373696.

    Research output: Contribution to journalArticleScientificpeer-review

  24. High-Dimensional Mapping of Cognition to the Brain Using Voxel-Based Morphometry and Subcortical Shape Analysis

    Zonneveld, H. I., Roshchupkin, G. V., Adams, H. H. H., Gutman, B. A., Van Der Lugt, A., Niessen, W., Vernooij, M. W. & Ikram, M. A., 2019, In : Journal of Alzheimer's Disease. 71, 1, p. 141-152

    Research output: Contribution to journalArticleScientificpeer-review

  25. Hydranet: Data augmentation for regression neural networks

    Dubost, F., Bortsova, G., Adams, H., Ikram, M. A., Niessen, W., Vernooij, M. & de Bruijne, M., 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (eds.). Springer, p. 438-446 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11767 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  26. Independent Multiple Factor Association Analysis for Multiblock Data in Imaging Genetics

    Vilor-Tejedor, N., Ikram, M. A., Roshchupkin, G. V., Cáceres, A., Alemany, S., Vernooij, M. W., Niessen, W. J., van Duijn, C. M., Adams, H. H. & More Authors, 2019, In : NeuroInformatics. 17, 4, p. 583-592 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  27. Multiple-correlation similarity for block-matching based fast CT to ultrasound registration in liver interventions

    Banerjee, J., Sun, Y., Klink, C., Gahrmann, R., Niessen, W. J., Moelker, A. & van Walsum, T., 2019, In : Medical Image Analysis. 53, p. 132-141

    Research output: Contribution to journalArticleScientificpeer-review

  28. Mutation stratification of desmoid-type fibromatosis using a radiogenomics approach

    Timbergen, M., Starmans, M. P. A., Vos, M., Padmos, G. A., Grünhagen, D. J., van Leenders, G. J. L. H., Verhoef, C., Niessen, W., Sleijfer, S. & More Authors, 2019, In : European Journal of Surgical Oncology. 44, 2, p. e16

    Research output: Contribution to journalMeeting AbstractScientific

  29. Normative brain volumetry derived from different reference populations: impact on single-subject diagnostic assessment in dementia

    Vinke, E. J., Huizinga, W., Bergtholdt, M., Adams, H. H., Steketee, R. M. E., Papma, J. M., De Jong, F. J., Niessen, W. J., Ikram, M. A. & More Authors, 2019, In : Neurobiology of Aging. 84, p. 9-16

    Research output: Contribution to journalArticleScientificpeer-review

  30. Orientation Prior and Consistent Model Selection Increase Sensitivity of Tract-Based Spatial Statistics in Crossing-Fiber Regions

    Arkesteijn, J., Poot, D., Ikram, M. A., Niessen, W., van Vliet, L., Vernooij, M. W. & Vos, F., 2019, In : IEEE Transactions on Medical Imaging. 39, 2, p. 308-319

    Research output: Contribution to journalArticleScientificpeer-review

  31. Patterns of functional connectivity in an aging population: The Rotterdam Study

    Zonneveld, H. I., Pruim, R. HR., Bos, D., Vrooman, H. A., Muetzel, R. L., Hofman, A., Rombouts, S. ARB., van der Lugt, A., Niessen, W. J. & More Authors, 2019, In : NeuroImage. 189, p. 432-444

    Research output: Contribution to journalArticleScientificpeer-review

  32. Predicting brain age as a biomarker for risk of dementia

    Wang, J., Knol, M. J., Tiulpin, A., Dubost, F., de Bruijne, M., Vernooij, M. W., Adams, H. H. H., Ikram, M. A., Niessen, W. & Roshchupkin, G. V., 2019, In : Alzheimer Disease and Associated Disorders. 15, 7, p. P537-P538

    Research output: Contribution to journalMeeting AbstractScientific

  33. Predicting the 1p/19q Codeletion Status of Presumed Low-Grade Glioma with an Externally Validated Machine Learning Algorithm

    van der Voort, S. R., Incekara, F., Wijnenga, M. M. J., Kapas, G., Gardeniers, M., Schouten, J. W., French, P. J., Niessen, W. J., Klein, S. & More Authors, 2019, In : Clinical cancer research : an official journal of the American Association for Cancer Research. 25, 24, p. 7455-7462

    Research output: Contribution to journalArticleScientificpeer-review

  34. Radiomics approach to distinguish between well differentiated liposarcomas and lipomas on MRI

    Vos, M., Starmans, M. P. A., Timbergen, M. J. M., van der Voort, S. R., Padmos, G. A., Kessels, W., Niessen, W. J., van Leenders, G. J. L. H. & Verhoef, C., 2019, In : British Journal of Surgery. 106, 13, p. 1800-1809

    Research output: Contribution to journalArticleScientificpeer-review

  35. Spatially regularized shape analysis of the hippocampus using P-spline based shape regression

    Achterberg, H. C., de Rooi, J., Vernooij, M. W., Arfan Ikram, M., Niessen, W., Eilers, P. & de Bruijne, M., 2019, In : IEEE Journal of Biomedical and Health Informatics. 11 p.

    Research output: Contribution to journalArticleScientificpeer-review

  36. The value of hippocampal volume, shape, and texture for 11-year prediction of dementia: a population-based study

    Achterberg, H. C., Sørensen, L., Wolters, F. J., Niessen, W. J., Vernooij, M. W., Ikram, M. A., Nielsen, M. & de Bruijne, M., 2019, In : Neurobiology of Aging. 81, p. 58-66

    Research output: Contribution to journalArticleScientificpeer-review

  37. 2018
  38. Trajectories of imaging markers in brain aging: the Rotterdam Study

    Vinke, E. J., de Groot, M., Venkatraghavan, V., Klein, S., Niessen, W. J., Ikram, M. A. & Vernooij, M. W., 1 Nov 2018, In : Neurobiology of Aging. 71, p. 32-40 9 p.

    Research output: Contribution to journalArticleScientificpeer-review

  39. Ensemble landmarking of 3D facial surface scans

    De Jong, M. A., Hysi, P., Spector, T., Niessen, W., Koudstaal, M. J., Wolvius, E. B., Kayser, M. & Böhringer, S., 8 Jan 2018, In : Scientific Reports. 8, 1, 12.

    Research output: Contribution to journalArticleScientificpeer-review

  40. Age-dependent association of thyroid function with brain morphology and microstructural organization: Evidence from brain imaging

    Chaker, L., Cremers, L. G. M., Korevaar, T. I. M., De Groot, M., Dehghan, A., Franco, O. H., Niessen, W. J., Ikram, M. A., Peeters, R. P. & Vernooij, M. W., 1 Jan 2018, In : Neurobiology of Aging: age-related phenomena, neurodegeneration and neuropathology. 61, p. 44-51 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  41. Averaged stochastic optimization for medical image registration based on variance reduction

    Sun, W., Poot, D. H. J., Yang, X., Niessen, W. J. & Klein, S., 1 Jan 2018, Biomedical Image Registration - 8th International Workshop, WBIR 2018, Proceedings. Klein, S., Sommer, S., Durrleman, S. & Staring, M. (eds.). Springer, Vol. 10883 LNCS. p. 69-79 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10883 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  42. White-matter microstructure and hearing acuity in older adults: a population-based cross-sectional DTI study

    Rigters, S. C., Cremers, L. G. M., Ikram, M. A., van der Schroeff, M. P., De Groot, M., Roshchupkin, G. V., Niessen, W. J. N., Baatenburg de Jong, R. J., Goedegebure, A. & Vernooij, M. W., 1 Jan 2018, In : Neurobiology of Aging: age-related phenomena, neurodegeneration and neuropathology. 61, p. 124-131 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  43. A spatio-temporal reference model of the aging brain

    huizinga, W., Poot, D., Vernooij, M. W., Roshchupkin, G. V., bron, E. E., Ikram, M. A., Rueckert, D., Niessen, W. & Klein, S., 2018, In : NeuroImage. 169, p. 11-22

    Research output: Contribution to journalArticleScientificpeer-review

  44. Added value of multiphase CTA imaging for thrombus perviousness assessment

    Santos, E. M. M., D’Esterre, C. D., Treurniet, K. M., Niessen, W. J., Abou Najm, M., Goyal, M., Demchuk, A. M., Majoie, C. B. L. M., Menon, B. K. & Marquering, H. A., 2018, In : Neuroradiology: a journal devoted to neuroimaging and interventional neuroradiology. 60, 1, p. 71-79

    Research output: Contribution to journalArticleScientificpeer-review

  45. Aortic stiffness and brain integrity in elderly patients with cognitive and functional complaints

    Tap, L., van Opbroek, A., Niessen, W. J., Smits, M. & Mattace-Raso, F. U. S., 2018, In : CLINICAL INTERVENTIONS IN AGING. 13, p. 2161-2167

    Research output: Contribution to journalArticleScientificpeer-review

  46. Automatic normative quantification of brain tissue volume to support the diagnosis of dementia: A clinical evaluation of diagnostic accuracy

    Vernooij, M. W., Jasperse, B., Steketee, R., Koek, M., Vrooman, H., Ikram, M. A., Papma, J., van der Lugt, A., Smits, M. & Niessen, W. J., 2018, In : NeuroImage: Clinical. 20, p. 374-379 6 p.

    Research output: Contribution to journalArticleScientificpeer-review

  47. Brain Volumes and Longitudinal Cognitive Change: A Population-based Study

    Vibha, D., Tiemeier, H., Mirza, S. S., Adams, H. H., Niessen, W. J., Hofman, A., Prasad, K., van der Lugt, A., Vernooij, M. W. & Ikram, M. A., 2018, In : Alzheimer Disease and Associated Disorders. 32, 1, p. 43-49

    Research output: Contribution to journalArticleScientificpeer-review

  48. C-Reactive Protein, Plasma Amyloid-β Levels, and Their Interaction With Magnetic Resonance Imaging Markers

    Hilal, S., Ikram, M. A., Verbeek, M. M., Franco, O. H., Stoops, E., Vanderstichele, H., Niessen, W. J. & Vernooij, M. W., 2018, In : Stroke. 49, 11, p. 2692-2698

    Research output: Contribution to journalArticleScientificpeer-review

  49. Cerebellar growth impairment characterizes school-aged children born preterm without perinatal brain lesions

    Pieterman, K., White, T. J., Van Den Bosch, G. E., Niessen, W. J., Reiss, I. K. M., Tibboel, D., Hoebeek, F. E. & Dudink, J., 2018, In : American Journal of Neuroradiology. 39, 5, p. 956-962 7 p.

    Research output: Contribution to journalArticleScientificpeer-review

  50. Classification of malignant and benign liver tumors using a radiomics approach

    Starmans, M. P. A., Miclea, R. L., Van Der Voort, S. R., Niessen, W. J., Thomeer, M. G. & Klein, S., 2018, Medical Imaging 2018: Image Processing. SPIE, Vol. 10574. 105741D

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  51. Contrast-enhancement influences skeletal muscle density, but not skeletal muscle mass, measurements on computed tomography

    van Vugt, J. L. A., Coebergh van den Braak, R. R. J., Schippers, H. J. W., Veen, K. M., Levolger, S., de Bruin, R. W. F., Koek, M., Niessen, W. J., IJzermans, J. N. M. & Willemsen, F. E. J. A., 2018, In : Clinical Nutrition. 37, 5, p. 1707-1714

    Research output: Contribution to journalArticleScientificpeer-review

  52. Differential patterns of age-related cortical and subcortical functional connectivity in 6-to-10 year old children: A connectome-wide association study

    Langen, C. D., Muetzel, R., Blanken, L., van der Lugt, A., Tiemeier, H., Verhulst, F., Niessen, W. J. & White, T., 2018, In : Brain and Behavior. 8, 8, 15 p., e01031.

    Research output: Contribution to journalArticleScientificpeer-review

  53. Disconnection due to white matter hyperintensities is associated with lower cognitive scores

    Langen, C. D., Cremers, L. G. M., de Groot, M., White, T., Ikram, M. A., Niessen, W. J. & Vernooij, M. W., 2018, In : NeuroImage. 183, p. 745-756

    Research output: Contribution to journalArticleScientificpeer-review

Previous 1 2 3 4 5 6 7 8 Next

ID: 225319