1. 2017
  2. Exome-sequencing in a large population-based study reveals a rare Asn396Ser variant in the LIPG gene associated with depressive symptoms

    Amin, N., Jovanova, O., Adams, H., Dehghan, A., Kavousi, M., Vernooij, M. W., Peeters, R. P., De Vrij, F. M. S., Van Der Lee, S. J., Van Rooij, J. G. J., Van Leeuwen, E. M., Chaker, L., Demirkan, A., Hofman, A., Brouwer, R. W. W., Kraaij, R., Willems Van DIjk, K., Hankemeier, T., Van Ijcken, W. F. J., Uitterlinden, A. G. & 6 others, Niessen, W. J., Franco, O. H., Kushner, S. A., Ikram, M. A., Tiemeier, H. & Van Duijn, C. M., 1 Apr 2017, In : Molecular Psychiatry. 22, 4, p. 537-543 7 p.

    Research output: Contribution to journalArticleScientificpeer-review

  3. N-terminal pro-B-type natriuretic peptide and subclinical brain damage in the general population

    Zonneveld, H. I., Ikram, M. A., Hofman, A., Niessen, W. J., Van Der Lugt, A., Krestin, G. P., Franco, O. H. & Vernooij, M. W., 1 Apr 2017, In : Radiology. 283, 1, p. 205-214 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  4. Automatic segmentation and quantification of the cardiac structures from non-contrast-enhanced cardiac CT scans

    Shahzad, R., Bos, D., Budde, R. P. J., Pellikaan, K., Niessen, W. J., Van Der Lugt, A. & Van Walsum, T., 11 Apr 2017, In : Physics in Medicine and Biology. 62, 9, p. 3798-3813 16 p.

    Research output: Contribution to journalArticleScientificpeer-review

  5. Gray matter heritability in family-based and population-based studies using voxel-based morphometry

    van der Lee, S. J., Roshchupkin, G. V., Adams, H. H., Schmidt, H., Hofer, E., Saba, Y., Schmidt, R., Hofman, A., Amin, N., van Duijn, C. M., Vernooij, M. W., Ikram, M. A. & Niessen, W. J., 1 May 2017, In : Human Brain Mapping. 38, 5, p. 2408-2423 16 p.

    Research output: Contribution to journalArticleScientificpeer-review

  6. 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

    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., Ikram, M. A., Vernooij, M. W., Niessen, W. J., Tiemeier, H., Hofman, A., Wittfeld, K., Grabe, H. J., Janowitz, D., Bülow, R., Selonke, M., Völzke, H. & 61 others, Grotegerd, D., Dannlowski, U., Arolt, V., Opel, N., Heindel, W., Kugel, H., Hoehn, D., Czisch, M., Couvy-Duchesne, B., Rentería, M. E., Strike, L. T., Wright, M. J., Mills, N. T., De Zubicaray, G. I., McMahon, K. L., Medland, S. E., Martin, N. G., Gillespie, N. A., Goya-Maldonado, R., Gruber, O., Krämer, B., Hatton, S. N., Lagopoulos, J., Hickie, I. B., Frodl, T., Carballedo, A., Frey, E. M., Van Velzen, L. S., Penninx, B. W. J. H., Van Tol, M. J., Van Der Wee, N. J., Davey, C. G., Harrison, B. J., Mwangi, B., Cao, B., Soares, J. C., Veer, I. M., Walter, H., Schoepf, D., Zurowski, B., Konrad, C., Schramm, E., Normann, C., Schnell, K., Sacchet, M. D., Gotlib, I. H., MacQueen, G. M., Godlewska, B. R., Nickson, T., McIntosh, A. M., Papmeyer, M., Whalley, H. C., Hall, J., Sussmann, J. E., Li, M., Walter, MT., Aftanas, L., Brack, I., Bokhan, N. A., Thompson, P. M. & Veltman, D. J., 1 Jun 2017, In : Molecular Psychiatry. 22, 6, p. 900-909 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  7. Heritability of connectivity and disconnectivity of the brain in a population-based study

    Langen, C. D., Roshchupkin, G., Adams, H. H., De Groot, M., Vos, F., Vernooij, M. W., Ikram, M. A. & Niessen, W. J., 15 Jun 2017, Proceedings of IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017. IEEE, p. 349-353 5 p. 7950535

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  8. Longitudinal analysis of diffusion-weighted MRI with a ball-and-sticks model

    Arkesteijn, G. A. M., Poot, D. H. J., Niestijl, M., Vernooij, M. W., Niessen, W. J., Van Vliet, L. J. & Vos, F. M., 15 Jun 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017. IEEE, p. 783-786 4 p. 7950635

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  9. Randomly perturbed b-splines for nonrigid image registration

    Niessen, W. J., Sun, W. & Klein, S., 1 Jul 2017, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 39, 7, p. 1401-1413 13 p., 7533440.

    Research output: Contribution to journalArticleScientificpeer-review

  10. CSF contamination-invariant statistics in conventional diffusion-weighted MRI of the fornix

    Arkesteijn, J., Poot, D., de Groot, M., Ikram, M. A., Niessen, W., van Vliet, L., Vernooij, MW. & Vos, F., 30 Aug 2017, In : Biomedical Physics & Engineering Express. 3, p. 1-14 065003.

    Research output: Contribution to journalArticleScientificpeer-review

  11. The effect of hippocampal function, volume and connectivity on posterior cingulate cortex functioning during episodic memory fMRI in mild cognitive impairment

    Papma, J. M., Smits, M., De Groot, M., Mattace-Raso, F. U. S., van der Lugt, A., Vrooman, H. A., Niessen, W. J., Koudstaal, P. J., van Swieten, J. C., van der Veen, F. M. & Prins, N. D., 1 Sep 2017, In : European Radiology. 27, 9, p. 3716-3724 9 p.

    Research output: Contribution to journalArticleScientificpeer-review

  12. Genetic susceptibility to multiple sclerosis: Brain structure and cognitive function in the general population

    Ikram, M. A., Vernooij, M. W., Roshchupkin, G. V., Hofman, A., van Duijn, C. M., Uitterlinden, A. G., Niessen, W. J., Hintzen, R. Q. & Adams, H. H., 1 Nov 2017, In : Multiple Sclerosis. 23, 13, p. 1697-1706 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  13. Retinal neurodegeneration and brain MRI markers: The Rotterdam Study

    Mutlu, U., Bonnemaijer, P. W. M., Ikram, M. A., Colijn, J. M., Cremers, L. G. M., Buitendijk, G. H. S., Vingerling, J. R., Niessen, W. J., Vernooij, M. W., Klaver, C. C. W. & Ikram, M. K., 1 Dec 2017, In : Neurobiology of Aging: age-related phenomena, neurodegeneration and neuropathology. 60, p. 183-191 9 p.

    Research output: Contribution to journalArticleScientificpeer-review

  14. 2018
  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  21. 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

  22. 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/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  23. 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

  24. 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

  25. 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

  26. Do volume, height and width of the eye determine refractive error? Results from 10-year-old European children from the Generation R Study.

    Tideman, W., Marstal, K., Polling, J. R., Jaddoe, V., Vernooij, M., van der Lugt, A., Niessen, W., Poot, D. & Klaver, C. C. W., 2018, In : Investigative Ophthalmology & Visual Science. 59, 9

    Research output: Contribution to journalMeeting AbstractScientific

  27. End-to-end diagnosis and segmentation learning from cardiac magnetic resonance imaging

    Snaauw, G., Gong, D., Maicas, G., van den Hengel, A., Niessen, W., Verjans, J. & Carneiro, G., 2018, ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging. IEEE, p. 802-805 4 p. 8759276

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  28. Evaluation of 2D and 3D ultrasound tracking algorithms and impact on ultrasound-guided liver radiotherapy margins

    De Luca, V., Banerjee, J., Hallack, A., Kondo, S., Makhinya, M., Nouri, D., Royer, L., Cifor, A., Niessen, W. J., van Walsum, T. & More Authors, 2018, In : Medical Physics. 45, 11, p. 4986 5003 p.

    Research output: Contribution to journalArticleScientificpeer-review

  29. Exome Chip Analysis Identifies Low-Frequency and Rare Variants in MRPL38 for White Matter Hyperintensities on Brain Magnetic Resonance Imaging

    Jian, X., Satizabal, C. L., Smith, A. V., Wittfeld, K., Bis, J. C., Hsu, F-C., Nho, K., Li, S., Niessen, W. J. & More Authors, 2018, In : Stroke. 49, 8, p. 1812-1819

    Research output: Contribution to journalArticleScientificpeer-review

  30. GENETIC VARIATION UNDERLYING COGNITION AND ITS RELATION WITH NEUROLOGICAL OUTCOMES

    Kool, M. J., Cremers, L. G. M., Heshmatollah, A., Ikram, M. K., Uiterlinden, A. G., van Duijn, C. M., Niessen, W., Vernooij, M. W., Arfan Ikram, M. & Adams, H. H. H., 2018, In : Alzheimer's and Dementia: Translational Research and Clinical Interventions. 14, 7, p. P1652-P1653

    Research output: Contribution to journalArticleScientificpeer-review

  31. Groupwise image registration based on a total correlation dissimilarity measure for quantitative MRI and dynamic imaging data

    Guyader, J. M., Huizinga, W., Poot, D. H. J., van Kranenburg, M., Uitterdijk, A., Niessen, W. J. & Klein, S., 2018, In : Scientific Reports. 8, 1, 14 p., 13112.

    Research output: Contribution to journalArticleScientificpeer-review

  32. Intrasubject multimodal groupwise registration with the conditional template entropy

    Polfliet, M., Klein, S., Huizinga, W., Paulides, M. M., Niessen, W. J. & Vandemeulebroucke, J., 2018, In : Medical Image Analysis. 46, p. 15-25 11 p.

    Research output: Contribution to journalArticleScientificpeer-review

  33. Quantification of nonrigid liver deformation in radiofrequency ablation interventions using image registration

    Luu, H. M., Moelker, A., Klein, S., Niessen, W. & Van Walsum, T., 2018, In : Physics in Medicine and Biology. 63, 17, 12 p., 175005.

    Research output: Contribution to journalArticleScientificpeer-review

  34. Reproducible white matter tract segmentation using 3D U-net on a large-scale DTI dataset

    Li, B., de Groot, M., Vernooij, M. W., Ikram, M. A., Niessen, W. J. & Bron, E. E., 2018, Machine Learning in Medical Imaging - 9th International Workshop, MLMI 2018, Held in Conjunction with MICCAI 2018, Proceedings. Shi, Y., Suk, H-I. & Liu, M. (eds.). Springer, Vol. 11046 LNCS. p. 205-213 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11046 LNCS).

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  35. Thinner retinal layers are associated with changes in the visual pathway: A population-based study

    Mutlu, U., Ikram, M. K., Roshchupkin, G. V., Bonnemaijer, P. W. M., Colijn, J. M., Vingerling, J. R., Niessen, W. J., Ikram, M. A., Klaver, C. C. W. & Vernooij, M. W., 2018, In : Human Brain Mapping. 39, 11, p. 4290-4301 12 p.

    Research output: Contribution to journalArticleScientificpeer-review

  36. Towards robust CT-ultrasound registration using deep learning methods

    Sun, Y., Moelker, A., Niessen, W. J. & van Walsum, T., 2018, Understanding and Interpreting Machine Learning in Medical Image Computing Applications - First International Workshops MLCN 2018, DLF 2018, and iMIMIC 2018, Held in Conjunction with MICCAI 2018, Proceedings. Springer, Vol. 11038 LNCS. p. 43-51 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11038 LNCS).

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  37. 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

  38. 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/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  39. 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

  40. 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

  41. 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

  42. 2019
  43. 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

  44. 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/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  45. 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

  46. 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/Conference proceedings/Edited volumeChapterScientificpeer-review

  47. 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/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  48. 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

  49. 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

  50. 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

  51. 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

  52. 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

  53. 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/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  54. 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

  55. 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

  56. 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

  57. 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

  58. 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

  59. 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

  60. 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/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  61. 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

  62. 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

  63. 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

  64. 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

  65. 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

  66. 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

  67. 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

  68. 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

  69. 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

  70. 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

  71. 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

  72. 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

  73. 2020
  74. 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/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  75. Automated classification of significant prostate cancer on MRI: A systematic review on the performance of machine learning applications

    Castillo, J. M. T., Arif, M., Niessen, W. J., Schoots, I. G. & Veenland, J. F., 2020, In : Cancers. 12, 6, 13 p., 1606.

    Research output: Contribution to journalArticleScientificpeer-review

  76. Automatic Collateral Scoring from 3D CTA Images

    Su, J., Wolff, L., Van Es, A. C. G. M., Van Zwam, W., Majoie, C., Dippel, D. W. J., Van Der Lugt, A., Niessen, W. J. & Van Walsum, T., 2020, In : IEEE Transactions on Medical Imaging. 39, 6, p. 2190-2200 8960439.

    Research output: Contribution to journalArticleScientificpeer-review

  77. Cerebral blood flow and cognitive functioning in patients with disorders along the heart–brain axis: Cerebral blood flow and the heart–brain axis

    Heart–Brain Connection consortium & More Authors, 2020, (Accepted/In press) In : Alzheimer's and Dementia: Translational Research and Clinical Interventions.

    Research output: Contribution to journalArticleScientificpeer-review

  78. 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. 33, p. 217-219 3 p.

    Research output: Contribution to journalEditorialScientific

  79. 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, In : European Radiology. 30, 6, p. 3576-3584 9 p.

    Research output: Contribution to journalArticleScientificpeer-review

  80. Multi-atlas image registration of clinical data with automated quality assessment using ventricle segmentation

    Dubost, F., de Bruijne, M., Nardin, M., Dalca, A. V., Donahue, K. L., Giese, A. K., Etherton, M. R., Wu, O., Niessen, W. & More Authors, 2020, In : Medical Image Analysis. 63, 14 p., 101698.

    Research output: Contribution to journalArticleScientificpeer-review

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

    Li, B., de Groot, M., Steketee, R. M. E., Meijboom, R., Smits, M., Vernooij, M. W., Ikram, M. A., Liu, J., Niessen, W. J. & More Authors, 2020, In : NeuroImage. 218, 13 p., 116993.

    Research output: Contribution to journalArticleScientificpeer-review

  82. 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

  83. Transformation optimization and image blending for 3D liver ultrasound series stitching

    Sun, Y., Kekec, T., Moelker, A., Niessen, W. J. & Van Walsum, T., 2020, Proceedings of SPIE : Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling. Fei, B. & Linte, C. A. (eds.). SPIE, Vol. 11315. 8 p. 1131512

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  84. Weakly supervised object detection with 2D and 3D regression neural networks

    Dubost, F., Adams, H., Yilmaz, P., Bortsova, G., Tulder, G. V., Ikram, M. A., Niessen, W., Vernooij, M. W. & Bruijne, M. D., Oct 2020, In : Medical Image Analysis. 65, 101767.

    Research output: Contribution to journalArticleScientificpeer-review

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