1. Laplacian eigenmaps for multimodal groupwise image registration

    Polfliet, M., Klein, S., Niessen, W. J. & Vandemeulebroucke, J., 2017, Medical Imaging 2017: Image Processing. Styner, M. A. & Angelini, E. D. (eds.). Bellingham, WA, USA: SPIE, 7 p. 101331N. (Proceedings of SPIE; vol. 10133).

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

  2. Layer separation for vessel enhancement in interventional x-ray angiograms using morphological filtering and robust PCA

    Ma, H., Dibildox, G., Banerjee, J., Niessen, WJ., Schultz, C., Regar, E. & van Walsum, T., 2015, Augmented Environments for Computer-Assisted Interventions: Proceedings 10th International Workshop, AE-CAI 2015, held in Conjunction with MICCAI 2015. Linte, CA., Yaniv, Z. & Fallavollita, P. (eds.). Cham, Switzerland: Springer, p. 104-113 10 p. (Lecture Notes in Computer Science; vol. 9365).

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

  3. Level Set Based Cerebral Vasculature Segmentation and Diameter Quantification in CT Angiography

    Manniesing, R., Velthuis, BK., Leeuwen, MS., van der Schaaf, IC., van Laar, PJ. & Niessen, WJ., 2006, In : Medical Image Analysis. 10, 2, p. 200-214 15 p.

    Research output: Contribution to journalArticleScientificpeer-review

  4. 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 Computer Society, p. 783-786 4 p. 7950635

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

  5. Lower microstructural integrity of brain white matter is related to higher mortality

    Sedaghat, S., Cremers, L. G. M., De Groot, M., Hofman, A., Van Der Lugt, A., Niessen, W. J., Franco, O. H., Dehghan, A., Ikram, M. A. & Vernooij, M. W., 2016, In : Neurology. 87, 9, p. 927-934 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  6. Lumen Segmentation of atherosclerotic carotid arteries in CTA

    Tang, H., van Walsum, T., Hameeteman, K., Schaap, M., van Vliet, LJ. & Niessen, WJ., 2012, 9th IEEE International Symposium on Biomedical Imaging (ISBI). sn (ed.). sn: IEEE, p. 274-277 4 p.

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

  7. Lumen segmentation and motion estimation in B-mode and contrast-enhanced ultrasound images of the carotid artery in patients with atherosclerotic plaque

    Carvalho, DDB., Akkus, Z., van den Oord, SCH., Schinkel, AFL., van der Steen, AFW., Niessen, WJ., Bosch, JG. & Klein, S., 2014, In : IEEE Transactions on Medical Imaging. in press, p. 1-12 12 p.

    Research output: Contribution to journalArticleScientificpeer-review

  8. Lumen segmentation and stenosis quantification of atherosclerotic carotid arteries in CTA utilizing a centerline intensity prior

    Tang, H., van Walsum, T., Hameeteman, K., Shahzad, R., van Vliet, LJ. & Niessen, WJ., 2013, In : Medical Physics. 40, 5, p. 1-13 13 p.

    Research output: Contribution to journalArticleScientificpeer-review

  9. MR brain image analysis in dementia: From quantitative imaging biomarkers to ageing brain models and imaging genetics

    Niessen, W. J., 2016, In : Medical Image Analysis. 33, p. 107-113

    Research output: Contribution to journalEditorialScientificpeer-review

  10. MRI integration into treatment planning of head and neck tumors: Can patient immobilization be avoided?

    Fortunati, V., Verhaart, RF., Verduijn, GM., van der Lugt, A., Angeloni, F., Niessen, WJ., Veenland, JF., Paulides, MM. & van Walsum, T., 2015, In : Radiotherapy & Oncology. 115, 2, p. 191-194 4 p.

    Research output: Contribution to journalArticleScientificpeer-review

  11. Markers of cerebral small vessel disease and severity of depression in the general population

    Direk, N., Perez, H. S., Akoudad, S., Verhaaren, B. F. J., Niessen, W. J., Hofman, A., Vernooij, M. W., Ikram, M. A. & Tiemeier, H., 30 Jul 2016, In : Psychiatry Research - Neuroimaging. 253, p. 1-6 6 p.

    Research output: Contribution to journalArticleScientificpeer-review

  12. Microtubule dynamics analysis using kymographs and variable-rate particle filters

    Smal, I., Grigoriev, I., Akhmanova, A., Niessen, WJ. & Meijering, E., 2010, In : IEEE Transactions on Image Processing. 19, p. 1861-1876 16 p.

    Research output: Contribution to journalArticleScientificpeer-review

  13. Microvascular network alterations in retina of subjects with cerebral small vessel disease

    Hilal, S., Ong, Y-T., Cheung, CY., Tan, CS., Venketasubramanian, N., Niessen, WJ., Vrooman, H., Anuar, AR., Chew, M., Chen, C., Wong, TY. & Ikram, MK., 2014, In : Neuroscience Letters. 577, p. 95-100 6 p.

    Research output: Contribution to journalArticleScientificpeer-review

  14. Model-based approach for tracking embryogenesis in caenorhabditis elegans fluorescence microscopy data

    Dzyubachyk, O., Jelier, R., Lehner, B., Niessen, WJ. & Meijering, E., 2009, Annual International Conference of the IEEE Engineering in Medicine and Biology Society - EMBC. s.n. (ed.). s.n., p. 1-4 4 p.

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

  15. Modeling friction, intrinsic curvature, and rotation of guide wires for simulation of minimally invasive vascular interventions

    Alderliesten, T., Konings, MK. & Niessen, WJ., 2007, In : IEEE Transactions on Biomedical Engineering. 54, 1, p. 29-38 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  16. Modeling the brain morphology distribution in the general aging population

    Huizinga, W., Poot, D. H. J., Roshchupkin, G., Bron, E. E., Ikram, M. A., Vernooij, M. W., Rueckert, D., Niessen, W. J. & Klein, S., 2016, Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging. Gimi, B. & Krol, A. (eds.). SPIE, Vol. 9788. p. 1-7 97880I. (Proceedings of SPIE; vol. 9788).

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

  17. Motion compensated iterative reconstruction of a region of interest in cardiac cone-beam CT

    Isola, AA., Ziegler, A., Schafer, A., Kohler, T., Niessen, WJ. & Grass, M., 2010, In : Computerized Medical Imaging and Graphics. 34, p. 149-159 11 p.

    Research output: Contribution to journalArticleScientificpeer-review

  18. Motion compensated literative reconstruction of a cardiac region of interest for CT

    Isola, AA., Ziegler, A., Köhler, T., van Stevendaal, U., Schäfer, D., Niessen, WJ. & Grass, M., 2008, ECIFBME Proceedings 22. nn (ed.). EMBEC, p. 646-650 5 p.

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

  19. Motion-compensated iterative cone-beam CT image reconstruction with adapted blobs as basis functions

    Isola, AA., Ziegler, A., Koehler, T., Niessen, WJ. & Grass, M., 2008, In : Physics in Medicine and Biology. 7, 53(23), p. 6777-6797 21 p.

    Research output: Contribution to journalArticleScientificpeer-review

  20. Multi-Ethnic Genome-Wide Association Study of Cerebral White Matter Hyperintensities on MRI

    Verhaaren, BFJ., Debette, S., Bis, JC., Smith, JA., Ikram, MK., Adams, HH. & Niessen, WJ., 2015, In : Circulation: Cardiovascular Genetics. 8, 2, p. 399-409 11 p.

    Research output: Contribution to journalArticleScientificpeer-review

  21. Multi-center MRI carotid plaque component segmentation using feature normalization and transfer learning

    van Engelen, A., van Dijk, AC., Truijman, MTB., Klooster, R. V. ., van Opbroek, A., van der Lugt, A., Niessen, WJ., Kooi, ME. & Bruijne, M. D., 2015, In : IEEE Transactions on Medical Imaging. 34, 6, p. 1294-1305 12 p.

    Research output: Contribution to journalArticleScientificpeer-review

  22. Multi-feature-based plaque characterization in ex vivo MRI trained by registration to 3D histology

    van Engelen, A., Niessen, WJ., Klein, S., Groen, HC., Verhagen, HJM., Wentzel, JJ., van der Lugt, A. & Bruijne, M. D., 2012, In : Physics in Medicine and Biology. 57, p. 1-17 17 p.

    Research output: Contribution to journalArticleScientificpeer-review

  23. Multi-spectral brain tissue segmentation using automatically trained k-Nearest-Neighbor classification

    Vrooman, HA., Cocosco, C. A., van der Lijn, F., Stokking, R., Ikram, MA., Vernooij, M. W., Breteler, MMB. & Niessen, WJ., 2007, In : NeuroImage. 37, 1, p. 71-81 11 p.

    Research output: Contribution to journalArticleScientificpeer-review

  24. 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., Dec 2016, In : European Radiology. 27, 8, p. 1-11 11 p.

    Research output: Contribution to journalArticleScientificpeer-review

  25. Multiple sparse representations classification

    Plenge, E., Klein, S. S., Niessen, W. J. & Meijering, E., 15 Jul 2015, In : PLoS ONE. 10, 7, 23 p., e0131968.

    Research output: Contribution to journalArticleScientificpeer-review

  26. 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

  27. Multisite Metaanalysis of Image-Wide Genome-Wide Associations With Morphometry

    Jahanshad, N., Roshchupkin, G., Faskowitz, J., Hibar, D. P., Gutman, B. A., Adams, H. H. H., Niessen, W. J., Vernooij, M. W., Ikram, M. A. & Zwiers, M. P., 2017, Imaging Genetics. Jahanshad, N. (ed.). Elsevier Inc., p. 1-23

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

  28. Multispectral MRI centerline tracking in carotid arteries

    Tang, H., van Walsum, T., van Onkelen, RS., Klein, S., Hameeteman, K., Schaap, M., van den Bouwhuijsen, QJA., Witteman, JCM., van der Lugt, A., Niessen, WJ. & van Vliet, LJ., 2011, In : Proceedings of SPIE- International Society for Optical Engineering. 7962, p. 1-7 7 p.

    Research output: Contribution to journalConference articleScientificpeer-review

  29. 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

  30. Navigation With Three-Dimensional Rotational X-Ray Data for Transpedicular Percutaneous Needle Introduction: Feasibility and Comparison with Fluoroscopic Guidance

    van Walsum, T., van de Kraats, E. B., Voormolen, MHJ., Verlaan, J-J., Mali, WPT. & Niessen, WJ., 2006, In : Journal of Vascular and Interventional Radiology. 17, 9, p. 1511-1518 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  31. Non-rigid groupwise image registration for motion compensation in quantitative MRI

    Huizinga, W., Poot, DHJ., Guyader, J-M., Niessen, WJ. & et al, ., 2014, In : Lecture Notes in Computer Science. 8545, p. 184-193 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  32. Non-rigid registration of liver ct images for ct-guided ablation of liver tumors

    Luu, H. M., Klink, C., Niessen, W., Moelker, A. & Van Walsum, T., 2016, In : PLoS ONE. 11, 9, e0161600.

    Research output: Contribution to journalArticleScientificpeer-review

  33. Nonrigid motion compensation in B-mode and contrast enhanced ultrasound image sequences of the carotid artery

    Carvalho, DDB., Akkus, Z., Bosch, JG., van den Oord, SCH., Niessen, WJ. & Klein, S., 2014, In : Progress in Biomedical Optics and Imaging. 9034, art nr 90340N, p. 1-3 3 p.

    Research output: Contribution to journalConference articleScientificpeer-review

  34. Nonrigid registration of dynamic medical imaging data using nD+t B-splines and a groupwise optimization approach

    Metz, C., Klein, S., Schaap, M., van Walsum, T. & Niessen, WJ., 2011, In : Medical Image Analysis. 15, 2, p. 238-249 12 p.

    Research output: Contribution to journalArticleScientificpeer-review

  35. 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

  36. Novel genetic loci underlying human intracranial volume identified through genome-wide association

    Adams, H. H. H., Hibar, D. P., Chouraki, V., Stein, J. L., Nyquist, P. A., Rentería, M. E., Trompet, S., Arias-Vasquez, A., Seshadri, S., Desrivières, S., Beecham, A. H., Jahanshad, N., Wittfeld, K., Van Der Lee, S. J., Abramovic, L., Alhusaini, S., Amin, N., Andersson, M., Arfanakis, K., Aribisala, B. S. & 322 othersArmstrong, N. J., Athanasiu, L., Axelsson, T., Beiser, A., Bernard, M., Bis, J. C., Blanken, L. M. E., Blanton, S. H., Bohlken, M. M., Boks, M. P., Bralten, J., Brickman, A. M., Carmichael, O., Chakravarty, M. M., Chauhan, G., Chen, Q., Ching, C. R. K., Cuellar-Partida, G., Braber, A. D., Doan, N. T., Ehrlich, S., Filippi, I., Ge, T., Giddaluru, S., Goldman, A. L., Gottesman, R. F., Greven, C. U., Grimm, O., Griswold, M. E., Guadalupe, T., Hass, J., Haukvik, U. K., Hilal, S., Hofer, E., Hoehn, D., Holmes, A. J., Hoogman, M., Janowitz, D., Jia, T., Kasperaviciute, D., Kim, S., Klein, M., Kraemer, B., Lee, P. H., Liao, J., Liewald, D. C. M., Lopez, L. M., Luciano, M., Macare, C., Marquand, A., Matarin, M., Mather, K. A., Mattheisen, M., Mazoyer, B., McKay, D. R., McWhirter, R., Milaneschi, Y., Mirza-Schreiber, N., Muetzel, R. L., Maniega, S. M., Nho, K., Nugent, A. C., Loohuis, L. M. O., Oosterlaan, J., Papmeyer, M., Pappa, I., Pirpamer, L., Pudas, S., Pütz, B., Rajan, K. B., Ramasamy, A., Richards, J. S., Risacher, S. L., Roiz-Santiañez, R., Rommelse, N., Rose, E. J., Royle, N. A., Rundek, T., Sämann, P. G., Satizabal, C. L., Schmaal, L., Schork, A. J., Shen, L., Shin, J., Shumskaya, E., Smith, A. V., Sprooten, E., Strike, L. T., Teumer, A., Thomson, R., Tordesillas-Gutierrez, D., Toro, R., Trabzuni, D., Vaidya, D., Van Der Grond, J., Van Der Meer, D., Van Donkelaar, M. M. J., Van Eijk, K. R., Van Erp, T. G. M., Van Rooij, D., Walton, E., Westlye, L. T., Whelan, C. D., Windham, B. G., Winkler, A. M., Woldehawariat, G., Wolf, C., Wolfers, T., Xu, B., Yanek, L. R., Yang, J., Zijdenbos, A., Zwiers, M. P., Agartz, I., Aggarwal, N. T., Almasy, L., Ames, D., Amouyel, P., Andreassen, O. A., Arepalli, S., Assareh, A. A., Barral, S., Bastin, M. E., Becker, D. M., Becker, J. T., Bennett, D. A., Blangero, J., Van Bokhoven, H., Boomsma, D. I., Brodaty, H., Brouwer, R. M., Brunner, H. G., Buckner, R. L., Buitelaar, J. K., Bulayeva, K. B., Cahn, W., Calhoun, V. D., Cannon, D. M., Cavalleri, G. L., Chen, C., Cheng, C. Y., Cichon, S., Cookson, M. R., Corvin, A., Crespo-Facorro, B., Curran, J. E., Czisch, M., Dale, A. M., Davies, G. E., De Geus, E. J. C., De Jager, P. L., De Zubicaray, G. I., Delanty, N., Depondt, C., Destefano, A. L., Dillman, A., Djurovic, S., Donohoe, G., Drevets, W. C., Duggirala, R., Dyer, T. D., Erk, S., Espeseth, T., Evans, D. A., Fedko, I. O., Fernández, G., Ferrucci, L., Fisher, S. E., Fleischman, D. A., Ford, I., Foroud, T. M., Fox, P. T., Francks, C., Fukunaga, M., Gibbs, J. R., Glahn, D. C., Gollub, R. L., Göring, H. H. H., Grabe, H. J., Green, R. C., Gruber, O., Gudnason, V., Guelfi, S., Hansell, N. K., Hardy, J., Hartman, C. A., Hashimoto, R., Hegenscheid, K., Heinz, A., Le Hellard, S., Hernandez, D. G., Heslenfeld, D. J., Ho, B. C., Hoekstra, P. J., Hoffmann, W., Hofman, A., Holsboer, F., Homuth, G., Hosten, N., Hottenga, J. J., Pol, H. E. H., Ikeda, M., Ikram, M. K., Jack, C. R., Jenkinson, M., Johnson, R., Jönsson, E. G., Jukema, J. W., Kahn, R. S., Kanai, R., Kloszewska, I., Knopman, D. S., Kochunov, P., Kwok, J. B., Lawrie, S. M., Lemaître, H., Liu, X., Longo, D. L., Longstreth, W. T., Lopez, O. L., Lovestone, S., Martinez, O., Martinot, J. L., Mattay, V. S., McDonald, C., McIntosh, A. M., McMahon, K. L., McMahon, F. J., Mecocci, P., Melle, I., Meyer-Lindenberg, A., Mohnke, S., Montgomery, G. W., Morris, D. W., Mosley, T. H., Mühleisen, T. W., Müller-Myhsok, B., Nalls, M. A., Nauck, M., Nichols, T. E., Niessen, W. J., Nöthen, M. M., Nyberg, L., Ohi, K., Olvera, R. L., Ophoff, R. A., Pandolfo, M., Paus, T., Pausova, Z., Penninx, B. W. J. H., Pike, G. B., Potkin, S. G., Psaty, B. M., Reppermund, S., Rietschel, M., Roffman, J. L., Romanczuk-Seiferth, N., Rotter, J. I., Ryten, M., Sacco, R. L., Sachdev, P. S., Saykin, A. J., Schmidt, R., Schofield, P. R., Sigurdsson, S., Simmons, A., Singleton, A., Sisodiya, S. M., Smith, C., Smoller, J. W., Soininen, H., Srikanth, V., Steen, V. M., Stott, D. J., Sussmann, J. E., Thalamuthu, A., Tiemeier, H., Toga, A. W., Traynor, B. J., Troncoso, J., Turner, J. A., Tzourio, C., Uitterlinden, A. G., Hernández, M. C. V., Van Der Brug, M., Van Der Lugt, A., Van Der Wee, N. J. A., Van Duijn, C. M., Van Haren, N. E. M., Van't Ent, D., Van Tol, M. J., Vardarajan, B. N., Veltman, D. J., Vernooij, M. W., Völzke, H., Walter, H., Wardlaw, J. M., Wassink, T. H., Weale, M. E., Weinberger, D. R., Weiner, M. W., Wen, W., Westman, E., White, T., Wong, T. Y., Wright, C. B., Zielke, H. R., Zonderman, A. B., Deary, I. J., Decarli, C., Schmidt, H., Martin, N. G., De Craen, A. J. M., Wright, M. J., Launer, L. J., Schumann, G., Fornage, M., Franke, B., Debette, S., Medland, S. E., Ikram, M. A. & Thompson, P. M., 1 Dec 2016, In : Nature Neuroscience. 19, 12, p. 1569-1582 14 p.

    Research output: Contribution to journalArticleScientificpeer-review

  37. Observer variability of absolute and relative thrombus density measurements in patients with acute ischemic stroke

    Santos, EMM., Yoo, AJ., Beenen, LF., Berkhemer, OA., den Blanken, MD., Wismans, C., Niessen, WJ., Majoie, CB. & Marquering, HA., 2016, In : Neuroradiology: a journal devoted to neuroimaging and interventional neuroradiology. 58, 2, p. 133-139 7 p.

    Research output: Contribution to journalArticleScientificpeer-review

  38. Older age relates to worsening of fine motor skills: A population based study of middle-aged and elderly persons

    Hoogendam, YY., van der Lijn, F., Vernooij, MW., Hofman, A., Niessen, WJ. & et al, ., 2014, In : Frontiers in Aging Neuroscience. 6, SEP, art nr 259, p. 1-4 4 p.

    Research output: Contribution to journalArticleScientificpeer-review

  39. On the evaluation of coronary artery centerline extraction algorithms - A standardized methodology and reference database

    Schaap, M., Metz, CT., van Walsum, T., van der Giessen, AG., Weustink, AC., Mollet, NRA., Krestin, GP. & Niessen, WJ., 2009, IFMBE Proceedings. World Congress on Medical Physics and Biomedical Engineering. s.n. (ed.). Munchen: s.n., p. 1897-1900 4 p.

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

  40. Oriented Gaussian mixture models for non-rigid 2D/3D coronary artery registration

    Baka, N., Metz, CT., Schultz, C., Geuns, RJ. V., Niessen, WJ. & van Walsum, T., 2014, In : IEEE Transactions on Medical Imaging. 33, p. 1023-1034 12 p.

    Research output: Contribution to journalArticleScientific

  41. PCA-based groupwise image registration for quantitative MRI

    Huizinga, W., Poot, DHJ., Guyader, JM., Klaassen, R., Coolen, BF., van Kranenburg, M., van Geuns, RJM., Uitterdijk, A., Polfliet, M., Vandermeulebroucke, J., Leemans, A., Niessen, WJ. & Klein, S., 2016, In : Medical Image Analysis. 29, p. 65-78 14 p.

    Research output: Contribution to journalArticleScientificpeer-review

  42. Particle Filtering Methods for Motion Analysis in Tagged MRI

    Smal, I., Niessen, WJ. & Meijering, E., 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings. s.n. (ed.). Piscataway: IEEE Society, p. 488-491 4 p.

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

  43. Patient specific 4D coronary models from ECG-gated CTA data for intra-operative dynamic alignment of CTA with X-ray images

    Metz, CT., Schaap, M., Klein, S., Neefjes, L., Capuano, E., Schultz, C., van Geuns, L., Serruys, PW., van Walsum, T. & Niessen, WJ., 2009, In : Lecture Notes in Computer Science. p. 369-376 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  44. 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

  45. Permeable Thrombi Are Associated with Higher Intravenous Recombinant Tissue-Type Plasminogen Activator Treatment Success in Patients with Acute Ischemic Stroke

    Santos, E. M. M., Dankbaar, J. W., Treurniet, K. M., Horsch, A. D., Roos, Y. B., Kappelle, L. J., Niessen, W. J., Majoie, C. B., Velthuis, B. & Marquering, H. A., 2016, In : Stroke. 47, 8, p. 2058-2065

    Research output: Contribution to journalArticleScientificpeer-review

  46. Plaque characterization in ex vivo MRI evaluated by dense 3D correspondence with histology

    van Engelen, A., Klein, S., Verhagen, H., Groen, H., Wentzel, JJ., van der Lugt, A., Bruijne, M. D. & Niessen, WJ., 2011, In : Proceedings of SPIE- International Society for Optical Engineering. 7963, p. 1-11 11 p.

    Research output: Contribution to journalConference articleScientificpeer-review

  47. Plasma Amyloid-beta Levels, Cerebral Small Vessel Disease, and Cognition: The Rotterdam Study

    Hilal, S., Akoudad, S., van Duijn, C. M., Niessen, W. J., Verbeek, M. M., Vanderstichele, H., Stoops, E., Ikram, M. A. & Vernooij, M. W., 2017, In : Journal of Alzheimer's Disease. 60, 3, p. 977-987

    Research output: Contribution to journalArticleScientificpeer-review

  48. Platelet aggregation inhibitors, vitamin K antagonists and risk of subarachnoid hemorrhage

    Risselada, R., Straatman, H., van Kooten, F., Dippel, DWJ., van der Lugt, A., Niessen, WJ., Firouzian, A., Herings, RMC. & Sturkenboom, MCJM., 2011, In : Journal of Thrombosis and Haemostasis. 9, 3, p. 517-523 7 p.

    Research output: Contribution to journalArticleScientificpeer-review

  49. Population imaging study IT infrastructure: An automated continuous workflow approach

    Koek, M., Achterberg, HC., de Groot, M., Vast, E., Klein, S. & Niessen, WJ., 2015, Proceedings of the 1st MICCAI Workshop on Management and Processing of Images for Population Imaging. Barillot, C., Dojat, M., Kennedy, D. & Niessen, WJ. (eds.). s.l.: s.n., p. 31-38 8 p.

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

  50. Postmenopausal hormone therapy and regional brain volumes: the whims-MRI study

    den Heijer, T., van der Lijn, F., Niessen, WJ. & Breteler, MM., 2009, In : Neurology. 73(18), p. 1514-1514 1 p.

    Research output: Contribution to journalArticleScientificpeer-review

ID: 225319