1. 2D-3D shape reconstruction of the distal femur from stereo X-Ray imaging using statistical shape models

    Baka, N., Kaptein, BL., Bruijne, M. D., van Walsum, T., Giphart, JE., Niessen, WJ. & Lelieveldt, BP., 2011, In : Medical Image Analysis. 15, p. 840-850 11 p.

    Research output: Contribution to journalArticleScientificpeer-review

  2. 2D/3D catheter-based registration for image guidance in TACE of liver tumors

    Ambrosini, P., Ruijters, D., Moelker, A., Niessen, WJ. & van Walsum, T., 2014, In : Lecture Notes in Computer Science. 8498, p. 246-255 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  3. 3D Segmentation in the clinic: a grand challenge II - coronary artery tracking

    Metz, CT., Schaap, M., van Walsum, T., van der Giessen, AG., Weustink, AC., Mollet, NRA., Krestin, GP. & Niessen, WJ., 2008, Proceedings of the MICCAI 2008 workshop. Cattin, P., Feuerstein, M. & et al (eds.). nn, p. 2-7 6 p.

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

  4. 3D X-ray image guidance in interventional radiology

    Niessen, WJ., van de Kraats, E. B., Baert, S. A. M. & van Walsum, T., 2007, Proc. 4th IEEE Int. Symposium on Biomedical Imaging: From Nano tot Macro. s.n. (ed.). IEEE Society, p. 1000-1003 4 p.

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

  5. 3D catheter tip tracking in 2D x-ray image sequences using a hidden Markov model and 3D rotational angiography

    Ambrosini, P., Smal, I., Ruijters, D., Niessen, WJ., Moelker, A. & 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. 38-49 12 p. (Lecture Notes in Computer Science; vol. 9365).

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

  6. 3D fusion of intravascular ultrasound and coronary computed tomography for in-vivo wall shear stress analysis: a feasibility study

    van der Giessen, AG., Schaap, M., Gijsen, FJH., Groen, HC., van Walsum, T., Mollet, NRA., Dijkstra, J., van de Vosse, FN., Niessen, WJ. & Feyter, PJ., 2010, In : International Journal of Cardiovascular Imaging. 26, 7, p. 781-796 16 p.

    Research output: Contribution to journalArticleScientificpeer-review

  7. 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

  8. 3D/3D registration of coronary CTA and biplane XA reconstructions for improved image guidance

    Dibildox, G., Baka, N., Punt, M., Aben, JP., Schultz, C., Niessen, WJ. & van Walsum, T., 2014, In : Medical Physics. 41, p. 091909-091909 1 p.

    Research output: Contribution to journalArticleScientificpeer-review

  9. 4D Ultrasound Tracking of Liver and its Verification for TIPS Guidance

    Banerjee, J., Klink, C., Niessen, W. J., Moelker, A. & Van Walsum, T., 2016, In : IEEE Transactions on Medical Imaging. 35, 1, p. 52-62 7152937.

    Research output: Contribution to journalArticleScientificpeer-review

  10. A 10-year follow-up of hippocampal volume on magnetic resonance imaging in early dementia and cognitive decline

    den Heijer, T., van der Lijn, F., Koudstaal, PJ., Hofman, A., van der Lugt, A., Krestin, GP., Niessen, WJ. & Breteler, MMB., 2010, In : Brain: a journal of neurology. 133, p. 1163-1172 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  11. A Hidden Markov Model for 3D Catheter Tip Tracking with 2D X-ray Catheterization Sequence and 3D Rotational Angiography

    Ambrosini, P., Smal, I., Ruijters, D., Niessen, W. J., Moelker, A. & Van Walsum, T., 1 Mar 2017, In : IEEE Transactions on Medical Imaging. 36, 3, p. 757-768 12 p., 7736994.

    Research output: Contribution to journalArticleScientificpeer-review

  12. A Semi-automatic Carotid Artery Bifurcation Segmentation and Bifurcation Angle Quantification on Black Blood MRI

    Tang, H., van Walsum, T., van Onkelen, RS., Hameeteman, R., Schaap, M., Witteman, JCM., van der Lugt, A., van Vliet, LJ. & Niessen, WJ., 2010, In : Lecture Notes in Computer Science. 6363, p. 97-104 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  13. A Variational model for level-set based cell tracking in time-lapse fluorescence microscopy images

    Dzyubachyk, O., Niessen, WJ. & Meijering, E., 2007, Proc. 4th IEEE Int. Symposium on Biomedical Imaging: From Nano tot Macro. s.n. (ed.). IEEE Society, p. 97-100 4 p.

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

  14. A comparative study of software programmes for cross-sectional skeletal muscle and adipose tissue measurements on abdominal computed tomography scans of rectal cancer patients

    van Vugt, J. L. A., Levolger, S., Gharbharan, A., Koek, M., Niessen, W. J., Burger, J. W. A., Willemsen, S. P., de Bruin, R. W. F. & IJzermans, J. N. M., 1 Apr 2017, In : Journal of Cachexia, Sarcopenia and Muscle. 8, 2, p. 285-297 13 p.

    Research output: Contribution to journalArticleScientificpeer-review

  15. A discriminative event based model for Alzheimer’s disease progression modeling

    Venkatraghavan, V., Bron, E. E., Niessen, W. J. & Klein, S., 2017, Proceedings of 25th International Conference, IPMI 2017. Springer, Vol. 10265 LNCS. p. 121-133 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10265 LNCS).

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

  16. A genome-wide association study identifies five loci influencing facial morphology in Europeans

    Liu, F., van der Lijn, F., Schurmann, C., Chakravarty, MM., Hysi, PG., Wollstein, A., Lao, O., Bruijne, M. D., Ikram, MA., Lugt, A., Rivadeineira, F., Uitterlinden, AG., Hofman, A., Niessen, WJ. & Kayser, M., 2012, In : PLoS Genetics (Print). 8, 9, p. 1-13 13 p.

    Research output: Contribution to journalArticleScientificpeer-review

  17. 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

  18. A patient-specific coronary artery density estimate

    Shahzad, R., Schaap, MA., van Walsum, T., Klein, S., Weustink, AC., van Vliet, LJ. & Niessen, WJ., 2010, Proc. 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro. s.n. (ed.). s.n.: s.n., p. 9-12 4 p.

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

  19. A patient-specific visualization tool for comprehensive analysis of coronary CTA and perfusion MRI data

    Kirisli, HA., Gupta, V., Kirschbaum, S., Neefjes, L., Geuns, RJ., Mollet, N., Lelieveldt, BPF., Reiber, JHC., van Walsum, T. & Niessen, WJ., 2011, In : Proceedings of SPIE- International Society for Optical Engineering. 7964, p. 1-4 4 p.

    Research output: Contribution to journalConference articleScientificpeer-review

  20. 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

  21. Accuracy Comparison of a 16 and 64 MDCT Scanner to Image Small High-density Structures

    Rollano-Hijarrubia, E., Stokking, R. & Niessen, WJ., 2006, In : Investigative Radiology: a journal of clinical and laboratory research. 41, 11, p. 781-792 12 p.

    Research output: Contribution to journalArticleScientificpeer-review

  22. Accuracy and reproducibility study of automatic MRI brain tissue segmentation methods

    Boer, R., Vrooman, H., Ikram, MA., Vernooij, MW., Breteler, MMB., van der Lugt, A. & Niessen, WJ., 2010, In : NeuroImage. 51, p. 1047-1056 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  23. Accurate estimation of microtubule dynamics using kymographs and variable-rate particle filters

    Smal, I., Grigoriev, I., Akhmanova, A., 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

  24. 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

  25. Additional diagnostic value of integrated analysis of cardiac CTA and SPECT MPI using the SMARTVis system in patients with suspected coronary artery disease

    Krisli, HA., Gupta, V., Shahzad, R., Al Younis, I., Dharampal, A., Van Geuns, R-J., Scholte, AJ., de Graaf, MA., Joemai, RMS., Nieman, K., van Vliet, LJ., van Walsum, T., Lelieveldt, BPF. & Niessen, WJ., 2014, In : The Journal of Nuclear Medicine. 55, 1, p. 50-57 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  26. Additive Value of Semiautomated Quantification of Coronary Artery Disease Using Cardiac Computed Tomographic Angiography to Predict Future Acute Coronary Syndrome

    Versteylen, MO., Kietselaer, BL., Dagnelie, PC., Joosen, IA., Dedic, A., Raaijmakers, RH., Wildberger, JE., Nieman, K., Crijns, HJ., Niessen, WJ. & Daemen, MJ., 2013, In : Journal of the American College of Cardiology. 61, 22, p. 2296-2305 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  27. Advanced Particle Filtering for Multiple Object Tracking in Dynamic Fluorescence Microscopy Images

    Smal, I., Niessen, WJ. & Meijering, E., 2007, IEEE International Symposium on Biomedical Imaging: From Nano to Macro. s.n. (ed.). s.n.: IEEE Society, p. 1048-1051 4 p.

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

  28. Advanced level-set based cell tracking in time-lapse fluorescence microscopy

    Dzyubachyk, O., van Cappellen, WA., Essers, J., Niessen, WJ. & Meijering, E., 2010, In : IEEE Transactions on Medical Imaging. 29, p. 852-867 16 p.

    Research output: Contribution to journalArticleScientificpeer-review

  29. 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

  30. Age-dependent effects of methylphenidate on the human dopaminergic system in young vs adult patients with attention-deficit/hyperactivity disorder: A randomized clinical trial

    Schrantee, A., Tamminga, H. G. H., Bouziane, C., Bottelier, M. A., Bron, E. E., Mutsaerts, H. J. M. M., Zwinderman, A. H., Groote, I. R., Rombouts, S. A. R. B., Niessen, W. J. & More Authors, 2016, In : JAMA Psychiatry. 73, 9, p. 955-962

    Research output: Contribution to journalArticleScientificpeer-review

  31. Alignment of 4D Coronary CTA with Monoplane X-Ray Angiography

    Metz, C., Schaap, M., Klein, S., Rijnbeek, P., Neefjes, L., Mollet, N., Schultz, C., Serruys, P., Niessen, WJ. & van Walsum, T., 2011, MICCAI workshop: Augmented Environments for Computer Assisted Interventions. sn (ed.). Springer, p. 1-9 9 p.

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

  32. Altered tract-specific white matter microstructure is related to poorer cognitive performance. The Rotterdam Study

    Cremers, LGM., de Groot, M., Hofman, A., Krestin, GP., van der Lugt, A., Niessen, WJ., Vernooij, MW. & Arfan Ikram, M., 2016, In : Neurobiology of Aging: age-related phenomena, neurodegeneration and neuropathology. 39, p. 108-117

    Research output: Contribution to journalArticleScientificpeer-review

  33. An automatic 3D facial landmarking algorithm using 2D gabor wavelets

    De Jong, M. A., Wollstein, A., Ruff, C., Dunaway, D., Hysi, P., Spector, T., Liu, F., Niessen, W., Koudstaal, M. J., Kayser, M., Wolvius, E. B. & Böhringer, S., 1 Feb 2016, In : IEEE Transactions on Image Processing. 25, 2, p. 580-588 9 p., 7312454.

    Research output: Contribution to journalArticleScientificpeer-review

  34. An automatic registration method for pre- and post-interventional CT images for assessing treatment success in liver RFA treatment

    Luu, H. M., Niessen, W., Van Walsum, T., Klink, C. & Moelker, A., 2016, In : Medical Physics. 42, 9, p. 5559-5567

    Research output: Contribution to journalArticleScientificpeer-review

  35. Ankle-brachial index, cognitive impairment and cerebrovascular disease in a Chinese population

    Hilal, S., Saini, M., Tan, CS., Catindig, JA., Dong, YH., Leon, LBS., Niessen, WJ., Vrooman, H., Wong, TY., Chen, C., Venketasubramanian, N. & Ikram, MK., 2014, In : Neuroepidemiology. 42, 2, p. 131-138 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  36. 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

  37. Apolipoprotein E genotype influences spatial distribution of cerebral microbleeds

    Loehrer, E., Ikram, MA., Akoudad, S., Vrooman, HA., van der Lugt, A., Niessen, WJ., Hofman, A. & Vernooij, MW., 2014, In : Neurobiology of Aging: age-related phenomena, neurodegeneration and neuropathology. 35, 4, p. 899-905 7 p.

    Research output: Contribution to journalArticleScientificpeer-review

  38. Association Between Carotid Artery Plaque Ulceration and Plaque Composition Evaluated With Multidetector CT Angiography

    Homburg, PJ., Rozie, S., van Gils, MJ., van den Bouwhuijsen, QJA., Niessen, WJ., Dippel, DWJ. & van der Lugt, A., 2011, In : Stroke. 42, 2, p. 367-372 6 p.

    Research output: Contribution to journalArticleScientificpeer-review

  39. Association of Alzheimer's disease GWAS loci with MRI markers of brain aging

    Chauhan, G., Adams, H. H. H., Bis, J. C., Weinstein, G., Yu, L., Töglhofer, A. M., Smith, A. V., van der Lee, S. J., Gottesman, R. F., Niessen, W. J. & More Authors, 2015, In : Neurobiology of Aging. 36, 4, p. 1765.e7-1765.e16

    Research output: Contribution to journalArticleScientificpeer-review

  40. Association of Coffee Consumption with MRI Markers and Cognitive Function: A Population-Based Study

    Araújo, L. F., Mirza, S. S., Bos, D., Niessen, W. J., Barreto, S. M., Van Der Lugt, A., Vernooij, M. W., Hofman, A., Tiemeier, H., Ikram, M. A. & Polidori, M. C., 2016, In : Journal of Alzheimer's Disease. 53, 2, p. 451-461 11 p.

    Research output: Contribution to journalArticleScientificpeer-review

  41. Atherosclerotic plaque component segmentation in combined MRI and CTA data incorporating class label uncertainty

    van Engelen, A., Niessen, WJ., Klein, S., Groen, HC., Verhagen, HJM., Wentzel, JJ., van der Lugt, A. & Bruijne, M. D., 2014, In : PLoS ONE. 9, p. 1-14 14 p.

    Research output: Contribution to journalArticleScientificpeer-review

  42. Automactic segmentation of brain tissue and white matter lesions in MRI

    Boer, R., van der Lijn, F., Vrooman, HA., Vernooij, M. W., Ikram, MA., Breteler, MMB. & Niessen, WJ., 2007, 4th IEEE Int. Symposium on Biomedical Imaging: From Nano to Macro. s.n. (ed.). IEEE Society, p. 652-655 4 p.

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

  43. Automated Brain Structure Segmentation Based on Atlas Registration and Appearance Models

    van der Lijn, F., Bruijne, M. D., Klein, S., den Heijer, T., Hoogendam, YY., van der Lugt, A., Breteler, MMB. & Niessen, WJ., 2012, In : IEEE Transactions on Medical Imaging. 31, 2, p. 276-286 11 p.

    Research output: Contribution to journalArticleScientificpeer-review

  44. Automated Measurement of Local White Matter Lesion Volume

    van der Lijn, F., Verhaaren, BFJ., Ikram, MA., Klein, S., Bruijne, M. D., Vrooman, H., Vernooij, MW., Hammers, A., Rueckert, D., van der Lugt, A., Breteler, MMB. & Niessen, WJ., 2012, In : NeuroImage. 59, 4, p. 3901-3908 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  45. Automated Registration of Freehand B-Mode Ultrasound and Magnetic Resonance Imaging of the Carotid Arteries Based on Geometric Features

    Carvalho, D. D. B., Arias Lorza, A. M., Niessen, W. J., de Bruijne, M. & Klein, S., 1 Jan 2017, In : Ultrasound in Medicine & Biology. 43, 1, p. 273-285 13 p.

    Research output: Contribution to journalArticleScientificpeer-review

  46. Automated analysis of time-lapse fluorescence microscopy images: from live cell images to intracellular foci

    Dzyubachyk, O., Essers, J., van Cappellen, WA., Baldeyron, C., Inagaki, A., Niessen, WJ. & Meijering, E., 2010, In : Bioinformatics. 26, 19, p. 2424-2430 7 p.

    Research output: Contribution to journalArticleScientificpeer-review

  47. Automated bone removal in CT angiography: comparison of methods based on single energy and dual energy scans

    Straten, M., Schaap, M., Dijkshoorn, ML., Greuter, M., van der Lugt, A., Krestin, GP. & Niessen, WJ., 2011, In : Medical Physics. 38, 11, p. 6128-6137 12 p.

    Research output: Contribution to journalArticleScientificpeer-review

  48. Automated entire thrombus density measurements for robust and comprehensive thrombus characterization in patients with acute ischemic stroke

    Santos, EMM., Niessen, WJ., Yoo, AJ., Berkhemer, OA., Beenen, LF., Majoie, CB. & Marquering, HA., 2016, In : PLoS ONE. 11, 1, p. e0145641-1-e0145641-16

    Research output: Contribution to journalArticleScientificpeer-review

  49. Automated localication of periventricular and subcortical white matter lesions

    van der Lijn, F., Vernooij, M. W., Arfan Ikram, M., Vrooman, HA., Rueckert, D., Hammers, A., Breteler, MMB. & Niessen, WJ., 2007, In : Proceedings of SPIE- International Society for Optical Engineering. 6512

    Research output: Contribution to journalConference articleScientificpeer-review

  50. Automated versus manual segmentation of atherosclerotic carotid plaque volume and components in CTA: associations with cardiovascular risk factors

    Vukadinovic, D., Rozie, S., van Gils, M., van Walsum, T., Manniesing, R., van der Lugt, A. & Niessen, WJ., 2011, In : International Journal of Cardiovascular Imaging. p. 1-11 11 p.

    Research output: Contribution to journalArticleScientificpeer-review

  51. 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

  52. 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

  53. 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

  54. 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

  55. 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

  56. 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

  57. 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

  58. 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

  59. 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

  60. 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

  61. 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

  62. 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

  63. 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

  64. 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

  65. 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

  66. 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

  67. 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

  68. 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

  69. 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

  70. 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

  71. 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

  72. 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

  73. 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

  74. 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

  75. 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

  76. 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

  77. 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

  78. 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

  79. 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

  80. 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

  81. 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

  82. 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

  83. 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

  84. 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

  85. 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

  86. 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

  87. 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

  88. 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

  89. 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

  90. 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

  91. 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

  92. 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

  93. 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

  94. 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. 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  95. 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

  96. 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

  97. 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

  98. 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

  99. 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

  100. 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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