1. Automatic Classification of Calcification in the Coronary Vessel Tree

    Shazhad, R., van Vliet, LJ., Niessen, WJ. & van Walsum, T., 2014, MICCAI Challenge on Automated Coronary Artery Scoring, orCAScore 2014. s.n. (ed.). MICCAI, p. 14-21 8 p.

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

  2. Automatic carotid artery distensibility measurements from CTA using nonrigid registration

    Hameeteman, K., Rozie, S., Metz, CT., Manniesing, R., van Walsum, T., van der Lugt, A., Niessen, WJ. & Klein, S., 2013, In : Medical Image Analysis. 17, p. 515-524 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  3. Automatic detection of calcified lesions in the descending aorta using contrast enhanced CT scans

    Shahzad, R., Schaap, M., Goncalves, FB., Metz, C., Tang, H., van Walsum, T., Moelker, A., van Vliet, LJ. & Niessen, WJ., 2012, 9th IEEE International Symposium on Biomedical Imaging (ISBI). sn (ed.). Barcelona: s.n., p. 250-253 4 p.

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

  4. 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

  5. Automatic online layer separation for vessel enhancement in X-ray angiograms for percutaneous coronary interventions

    Ma, H., Hoogendoorn, A., Regar, E., Niessen, W. J. & van Walsum, T., 2017, In : Medical Image Analysis. 39, p. 145-161

    Research output: Contribution to journalArticleScientificpeer-review

  6. Automatic quantification of brain mri to improve the diagnostic workup of dementia in memory clinic patients

    Steketee, R. M. E., Vernooij, M. W., Jasperse, B., Koek, M., Vrooman, H. A., Ikram, M. A., Papma, J. M., van Swieten, J. C., Van Der Lugt, A., Niessen, W. & Smits, M., 2017, In : Alzheimer's & Dementia. 13, 7 supplement, p. 1119-1120 2 p.

    Research output: Contribution to journalArticleScientificpeer-review

  7. Automatic quantification of epicardial fat volume on non-enhanced cardiac CT scans using a multi-atlas segmentation approach

    Shahzad, R., Bos, D., Metz, CT., Rossi, A., Kirisli, H., van der Lugt, A., Klein, S., Witteman, J., de Feyter, P., Niessen, WJ. & van Walsum, T., 2013, In : Medical Physics. 40, 9, p. 1-9 9 p.

    Research output: Contribution to journalArticleScientificpeer-review

  8. 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

  9. Automatic segmentation, detection and quantification of coronary artery stenoses on CTA

    Shahzad, R., Kirisli, H., Metz, CT., Tang, H., Schaap, M., van Vliet, LJ., Niessen, WJ. & van Walsum, T., 2013, In : International Journal of Cardiovascular Imaging. p. 1-13 13 p.

    Research output: Contribution to journalArticleScientificpeer-review

  10. Automatic segmentations of arteries through the skull base

    Manniesing, R. & Niessen, WJ., 2007, In : Proceedings of SPIE- International Society for Optical Engineering. 6512

    Research output: Contribution to journalConference articleScientificpeer-review

  11. Automatic tissue segmentation of head and neck MR images for hyperthermia treatment planning

    Fortunati, V., Verhaart, RF., Niessen, WJ., Veenland, JF., Paulides, MM. & van Walsum, T., 2015, In : Physics in Medicine and Biology. 60, 16, p. 6547-6562 16 p.

    Research output: Contribution to journalArticleScientificpeer-review

  12. 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 Verlag, 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

  13. Bayesian Tracking for Fluorescence Microscopic Imaging

    Smal, I., Niessen, WJ. & Meijering, E., 2006, From Nano to Macro. Christensen, G., Coatrieux, JL., Fessler, J., Kovacevic, J., Liang, ZP., Meijering, E., Moura, J., Murphy, B., Niessen, W., Roux, C., Unser, M. & Wilson, D. (eds.). Piscataway: IEEE Society, p. 550-553 4 p. (International Symposium on Biomedical Imaging. Proceedings; vol. 4).

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

  14. Bayesian tracking of tubular structures and its application to carotid arteries in CTA

    Schaap, M., Manniesing, R., Smal, I., van Walsum, T., van der Lugt, A. & Niessen, WJ., 2007, In : Lecture Notes in Computer Science. p. 562-570 9 p.

    Research output: Contribution to journalArticleScientificpeer-review

  15. Brain MRI-markers Associate Differentially with Cognitive Versus Functional Decline Leading to Dementia

    Verlinden, V. J. A., van der Geest, J. N., Hofman, A., Niessen, W. J., van der Lugt, A., Vernooij, M. W. & Ikram, M. A., Feb 2017, In : American Geriatrics Society. Journal. 65, 6, p. 1258–1266 9 p.

    Research output: Contribution to journalArticleScientificpeer-review

  16. 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

  17. Brain cortical thickness in the general elderly population: The Rotterdam Scan Study

    Velsen, EFS., Vernooij, MW., Vrooman, HA., van der Lugt, A., Breteler, MMB., Hofman, A., Niessen, WJ. & Ikram, MA., 2013, In : Neuroscience Letters. 550, p. 189-194 6 p.

    Research output: Contribution to journalArticleScientificpeer-review

  18. Brain tissue volumes in relation to cognitive function and risk of dementia

    Ikram, MA., Vrooman, HA., Vernooij, MW., den Heijer, T., Hofman, A., Niessen, WJ., van der Lugt, A., Koudstaal, PJ. & Breteler, MMB., 2010, In : Neurobiology of Aging: age-related phenomena, neurodegeneration and neuropathology. 31, p. 378-386 9 p.

    Research output: Contribution to journalArticleScientificpeer-review

  19. 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

  20. 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

  21. Calcification locates to transglutaminases in advanced human atherosclerotic lesions

    Matlung, HL., Groen, HC., de Vos, J., van Walsum, T., van der Lugt, A., Niessen, WJ., Wentzel, JJ., van Bavel, E. & Bakker, ENTP., 2009, In : The American Journal of Pathology: cellular and molecular biology of disease. 175(4), p. 1374-1379 6 p.

    Research output: Contribution to journalArticleScientificpeer-review

  22. Can DCE-MRI Explain the Heterogeneity in Radiopeptide Uptake Imaged by SPECT in a Pancreatic Neuroendocrine Tumor Model?

    Bol, K., Haeck, JC., Groen, HC., Niessen, WJ., de Jong, M. & Veenland, JF., 2013, In : PLoS ONE. 8, 10, p. 1-11 11 p.

    Research output: Contribution to journalArticleScientificpeer-review

  23. Cardiac MR perfusion image processing techniques: A survey

    Gupta, V., Kiri¿li, HA., Hendriks, EA., van der Geest, R. J., van de Giessen, M., Niessen, WJ., Reiber, JHC. & Lelieveldt, BPF., 2012, In : Medical Image Analysis. 16, 4, p. 767-785 19 p.

    Research output: Contribution to journalArticleScientificpeer-review

  24. Cardiac motion-corrected iterative cone-beam CT reconstruction using a semi-automatic minimum cost path-based coronary centerline extraction

    Isola, AA., Metz, C., Schaap, M., Klein, S., Grass, M. & Niessen, WJ., 2012, In : Computerized Medical Imaging and Graphics. 36, 3, p. 215-226 12 p.

    Research output: Contribution to journalArticleScientificpeer-review

  25. Cardiac-Motion Correction for Helical CT

    Isola, AA., van Stevendaal, U., Schaefer, D., Niessen, WJ. & Grass, M., 2010, 2009 IEEE Nuclear Science Symposium Conference Record. s.n. (ed.). s.n., p. 3247-3250 4 p. (IEEE Conference Record - Nuclear Science Symposium & Medical Imaging Conference; vol. 1-5).

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

  26. Carotid Atherosclerotic Plaque Progression and Change in Plaque Composition Over Time: A 5-Year Follow-Up Study Using Serial CT Angiography

    van Gils, MJ., Vukadinovic, D., van Dijk, AC., Dippel, DWJ., Niessen, WJ. & Lugt, A., 2012, In : American Journal of Neuroradiology. 33, 77, p. 1267-1273 7 p.

    Research output: Contribution to journalArticleScientificpeer-review

  27. Carotid artery segmentation and plaque quantification in CTA

    Vukadinovic, D., van Walsum, T., Rozie, S., de Weert, TT., Manniesing, R., van der Lugt, A. & Niessen, WJ., 2009, IEEE International Symposium on Biomedical Imaging 1+2. s.n. (ed.). IEEE Society, p. 835-838 4 p.

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

  28. Carotid artery wall segmentation by coupled surface graph cuts

    Arias, A., Petersen, J., van Engelen, A., Tang, H., Selwaness, M., Witteman, JCM., van der Lugt, A., Niessen, WJ. & Bruijne, M. D., 2013, Lecture Notes in Computer Science. s.n. (ed.). Berlin: Springer Verlag, p. 38-47 10 p. (Lecture Notes in Computer Science; vol. 7766).

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

  29. Carotid artery wall segmentation in multispectral MRI by coupled optimal surface graph cuts

    Arias-Lorza, AM., Petersen, J., van Engelen, A., Selwaness, M., van der Lugt, A., Niessen, WJ. & de Bruijne, M., 2015, In : IEEE Transactions on Medical Imaging. PP, 99, p. 1-11 11 p.

    Research output: Contribution to journalArticleScientificpeer-review

  30. Carotid atherosclerotic plaque progression and change in plaque composition over time: A 5-year follow-up study with serial CT angiography

    van Gils, MJ., Vukadinovic, D., Dippel, DWJ., Niessen, WJ. & van der Lugt, A., 2012, In : American Journal of Neuroradiology. 33, p. 1267-1273

    Research output: Contribution to journalArticleScientificpeer-review

  31. Carotid wall volume quantification from magnetic resonance images using deformable model fitting and learning-based correction of systematic errors

    Hameeteman, K., Klooster, R. V. ., Selwaness, M., van der Lugt, A., Witteman, JCM., Niessen, WJ. & Klein, S., 2013, In : Physics in Medicine and Biology. 58, p. 1605-1623 19 p.

    Research output: Contribution to journalArticleScientificpeer-review

  32. 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

  33. Cerebellum segmentation in MRI using atlas registration and local multi-scale image descriptors

    van der Lijn, F., Bruijne, M., Hoogendam, YY., Klein, S., Hameeteman, K., Breteler, MMB. & Niessen, WJ., 2009, Proceedings of IEEE International Symposium on Biomedical Imaging: Macro to Nano. s.n. (ed.). s.n., p. 221-224 4 p.

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

  34. Cerebral microbleeds and cognition: The epidemiology of dementia in singapore study

    Hilal, S., Saini, M., Tan, CS. & Niessen, WJ., 2014, In : Alzheimer Disease and Associated Disorders. 28, 2, p. 106-112 7 p.

    Research output: Contribution to journalArticleScientificpeer-review

  35. Cerebral microbleeds are associated with the progression of ischemic vascular lesions

    Akoudad, S., Ikram, MA., Koudstaal, PJ., Hofman, A. & Niessen, WJ., 2014, In : Cerebrovascular Diseases. 37, 5, p. 382-388 7 p.

    Research output: Contribution to journalArticleScientificpeer-review

  36. Cerebral microbleeds are associated with worse cognitive function: the Rotterdam Scan Study

    Poels, MMF., Ikram, MA., van der Lugt, A., Hofman, A., Niessen, WJ., Krestin, GP., Breteler, MMB. & Vernooij, MW., 2012, In : Neurology. 78, 5, p. 326-333 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  37. Cerebral microbleeds are related to loss of white matter structural integrity

    Akoudad, S., de Groot, M., Koudstaal, PJ., van der Lugt, A., Niessen, WJ., Hofman, A., Ikram, MA. & Vernooij, MW., 2013, In : Neurology. 81, 22, p. 1930-1937 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  38. Cerebral microbleeds differ in etiology according to their location in the brain

    Vernooij, M. W., van der Lugt, A., Ikram, MA., Wielopolski, PA., Niessen, WJ., Hofman, A., Krestin, GP. & Breteler, MMB., 2009, In : Neurology. 24, 72(8), p. 763-765 3 p.

    Research output: Contribution to journalArticleScientificpeer-review

  39. Cerebral small vessel disease affects white matter microstructure in mild cognitive impairment

    Papma, JM., de Groot, M., de Koning, I., Mattace-Raso, FU., van der Lugt, A., Vernooij, MW., Niessen, WJ., van Swieten, JC., Koudstaal, PJ., Prins, ND. & Smits, M., 2014, In : Human Brain Mapping. 35, p. 2836-2851 16 p.

    Research output: Contribution to journalArticleScientificpeer-review

  40. Change in carotid intraplaque hemorrhage in communitydwelling subjects: A follow-up study using serial MR imaging

    Van Den Bouwhuijsen, Q. J. A., Selwaness, M., Tang, H., Niessen, W. J., Hofman, A., Franco, O. H., Van Der Lugt, A. & Vernooij, M. W., 1 Mar 2017, In : Radiology. 282, 2, p. 526-533 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  41. Changes in Normal-Appearing White Matter Precede Development of White Matter Lesions

    de Groot, M., Verhaaren, BFJ., Boer, R. D., Klein, S., Hofman, A., van der Lugt, A., Ikram, MA., Niessen, WJ. & Vernooij, MW., 2013, In : Stroke. 44, 4, p. 1037-1042 6 p.

    Research output: Contribution to journalArticleScientificpeer-review

  42. Classification of hemodynamically significant stenoses from dynamic CT perfusion and CTA myocardial territories

    Giordano, M., Poot, D., Coenen, A., van Walsum, T., Tezza, M., Nieman, K. & Niessen, W., 22 Mar 2017, In : Medical Physics. 44, 4, p. 1347-1358 12 p.

    Research output: Contribution to journalArticleScientificpeer-review

  43. 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

  44. 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

  45. Combining graph cuts, atlas registration, and voxel classification for hippocampus segmentation in MR images

    van der Lijn, F., den Heijer, T., Breteler, MMB. & Niessen, WJ., 2007, Mathematical methods in biomedical image analysis- IN PRESS. Nielsen, M., Niessen, WJ. & Westin, CF. (eds.). IEEE Society, p. 1-5 5 p.

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

  46. Common variants at 12q14 and 12q24 are associated with hippocampal volume

    Bis, JC., DeCarli, C., Smith, AV., van der Lijn, F., Crivello, F., Fornage, M., Debette, S., den Heijer, T., Schmidt, H., Niessen, WJ., van Duijn, CM., Mosley, TH., Schmidt, R., Tzourio, C., Launer, LJ., Ikram, MA. & Seshadri, S., 2012, In : Nature Genetics. 44, 5, p. 545-551 7 p.

    Research output: Contribution to journalArticleScientificpeer-review

  47. Common variants at 12q15 and 12q24 are associated with infant head circumference

    Taal, HR., St Pourcain, B., Thiering, E., Niessen, WJ. & et al, ., 2012, In : Nature Genetics. 44, 5, p. 532-538 7 p.

    Research output: Contribution to journalArticleScientificpeer-review

  48. Common variants at 6q22 and 17q21 are associated with intracranial volume

    Ikram, MA., Fornage, M., Smith, AV., Niessen, WJ. & etal, ., 2012, In : Nature Genetics. 44, 5, p. 539-544 6 p.

    Research output: Contribution to journalArticleScientificpeer-review

  49. Comparison of Shape Regression Methods under Landmark Position Uncertainty

    Baka, N., Metz, C., Schaap, M., Lelieveldt, BP., Niessen, WJ. & Bruijne, M. D., 2011, In : Lecture Notes in Computer Science. 6892, p. 434-441 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  50. Comparison of heuristic evaluation and think aloud methods: A study in radiotherapy contouring software

    Ramkumar, A., Song, Y., Varga, E., Niessen, WJ., Laprie, A., Rowland, B. & Freudenthal, A., 2014, Proceedings of the international symposium of human factors and ergonomics in healthcare. s.n. (ed.). s.l.: Sage, p. 230-237 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientific

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