1. Article › Scientific › Peer-reviewed
  2. Interactive local super-resolution reconstruction of whole-body MRI mouse data: A pilot study with applications to bone and kidney metastases

    Dzyubachyk, O., Khmelinskii, A., Plenge, E., Kok, P., Snoeks, TJA., Poot, DHJ., Lowik, CWGM., Botha, CP., Niessen, WJ., van der Weerd, L., Meijering, E. & Lelieveldt, BPF., 2014, In : PLoS ONE. 9, 9, p. 1-10 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  3. Intracranial aneurysm segmentation in 3D CT angiography: Method and quantitative validation with and without prior noise filtering

    Firouzian, A., Manniesing, R., Flach, ZH., Risselada, R., van Kooten, F., Sturkenboom, MCJM., van der Lugt, A. & Niessen, WJ., 2011, In : European Journal of Radiology. 79, 2, p. 299-304 6 p.

    Research output: Contribution to journalArticleScientificpeer-review

  4. Intracranial stenosis, cerebrovascular diseases, and cognitive impairment in Chinese

    Hilal, S., Saini, M., Tan, CS., Catindig, JA., Dong, YH., Holandez, RL., Niessen, WJ., Vrooman, HA., Ting, E., Wong, TY., Chen, C., Venketasubramaniam, N. & Ikram, MK., 2015, In : Alzheimer Disease and Associated Disorders. 29, 1, p. 12-17 6 p.

    Research output: Contribution to journalArticleScientificpeer-review

  5. 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

  6. Iterative co-linearity filtering and parameterization of fiber tracts in the entire cingulum

    de Groot, M., Vernooij, M. W., Klein, S., Leemans, A., Boer, R., van der Lugt, A., Breteler, MMB. & Niessen, WJ., 2009, In : Lecture Notes in Computer Science. 5761, p. 853-860 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  7. Joint intensity-and-point based registration of ree-hand B-mode ultrasound and MRI of the carotid artery

    Carvalho, DDB., Klein, S., Akkus, Z., van Dijk, AC., Tang, H., Selwaness, M., Schinkel, AFL., Bosch, JG., van der Lugt, A. & Niessen, WJ., 2014, In : Medical Physics. 41, p. 052904-052904 1 p.

    Research output: Contribution to journalArticleScientificpeer-review

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  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 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

  19. 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

  20. 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

  21. 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

  22. 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

  23. 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

  24. 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

  25. 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

  26. 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

  27. 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

  28. 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

  29. 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

  30. 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

  31. 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

  32. 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

  33. 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

  34. 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

  35. 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

  36. 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

  37. 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

  38. 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

  39. 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

  40. 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

  41. 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

  42. 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

  43. 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

  44. 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

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

    Vernooij, M. W., van der Lugt, A., Ikram, MA., Wielopolski, PA., Niessen, WJ., Hofman, A., Krestin, GP. & Breteler, MMB., 2008, In : Neurology. 70, p. 1208-1214 7 p.

    Research output: Contribution to journalArticleScientificpeer-review

  46. Quantification of Intracranial Aneurysm Morphodynamics from ECG-gated CT Angiography

    Firouzian, A., Manniesing, R., Metz, CT., Risselada, R., Klein, S., van Kooten, F., Sturkenboom, MCJ., van der Lugt, A. & Niessen, WJ., 2013, In : Academic Radiology. 20, 1, p. 52-58 7 p.

    Research output: Contribution to journalArticleScientificpeer-review

  47. Quantification of fibrous cap thickness in intracoronary optical coherence tomography with a contour segmentation method based on dynamic programming

    Zahnd, G., Karanasos, A., van Soest, G., Regar, E., Niessen, W., Gijsen, F. & van Walsum, T., 2015, In : International Journal of Computer Assisted Radiology and Surgery. 10, 9, p. 1383-1394

    Research output: Contribution to journalArticleScientificpeer-review

  48. Quantification of heterogeneity as a biomarker in tumor imaging: a systematic review

    Alic, L., Niessen, WJ. & Veenland, JF., 2014, In : PLoS ONE. 9, 10, p. 1-15 15 p.

    Research output: Contribution to journalArticleScientificpeer-review

  49. 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

  50. Quantitative evaluation of noise reduction and vesselness filters for liver vessel segmentation on abdominal CTA images

    Luu, H. M., Klink, C., Moelker, A., Niessen, W. & Van Walsum, T., 2015, In : Physics in Medicine and Biology. 60, 10, p. 3905-3926

    Research output: Contribution to journalArticleScientificpeer-review

  51. Quantitative evaluation of three calibration methods for 3-D freehand ultrasound

    Rousseau, F., Hellier, P., Letteboer, MM., Niessen, WJ. & Barillot, C., 2006, In : IEEE Transactions on Medical Imaging. 25, 11, p. 1492-1501 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

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