1. Article › Scientific › Peer-reviewed
  2. The value of hippocampal volume, shape, and texture for 11-year prediction of dementia: a population-based study

    Achterberg, H. C., Sørensen, L., Wolters, F. J., Niessen, W. J., Vernooij, M. W., Ikram, M. A., Nielsen, M. & de Bruijne, M., 2019, In : Neurobiology of Aging. 81, p. 58-66

    Research output: Contribution to journalArticleScientificpeer-review

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

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

    Research output: Contribution to journalArticleScientificpeer-review

  4. Three-Dimensional Rotational X-Ray Navigation for Needle Guidance in Percutaneous Vertebroplasty: An Accuracy Study

    van de Kraats, E. B., van Walsum, T., Verlaan, J-J., Voormolen, MHJ., Mali, WPT. & Niessen, WJ., 2006, In : Spine (Philadelphia, 1976). 31, 12, p. 1359-1364 6 p.

    Research output: Contribution to journalArticleScientificpeer-review

  5. Three-dimensional carotid ultrasound plaque texture predicts vascular events

    van Engelen, A., Wannarong, T., Parraga, G., Niessen, WJ., Fenster, A., Spence, JD. & Bruijne, M., 2014, In : Stroke. 45, p. 2695-2701 7 p.

    Research output: Contribution to journalArticleScientificpeer-review

  6. Three-dimensional inversion recovery manganese-enhanced MRI of mouse brain using super-resolution reconstruction to visualize nuclei involved in higher brain function

    Plenge, E., Poole, DS., Poot, DHJ., Lakke, EAJF., Niessen, WJ., Meijering, E. & van der Weerd, L., 2014, In : NMR in Biomedicine. 27, p. 749-759 11 p.

    Research output: Contribution to journalArticleScientificpeer-review

  7. Three-dimensional registration of histology of human atherosclerotic carotid plaques to in-vivo imaging

    Groen, HC., van Walsum, T., Rozie, S., Klein, S., van Gaalen, K., Gijsen, FJH., Wielopolski, PA., Beusekom, H., de Crom, R., Verhagen, HJM., van der Steen, AFW., van der Lugt, A., Wentzel, JJ. & Niessen, WJ., 2010, In : Journal of Biomechanics. 43, p. 2087-2092 6 p.

    Research output: Contribution to journalArticleScientificpeer-review

  8. Thrombus Permeability Is Associated with Improved Functional Outcome and Recanalization in Patients with Ischemic Stroke

    Santos, E. M. M., Marquering, H. A., Den Blanken, M. D., Berkhemer, O. A., Boers, A. M. M., Yoo, A. J., Beenen, L. F., Treurniet, K. M., Wismans, C., Niessen, W. J. & More Authors, 2016, In : Stroke. 47, 3, p. 732-741

    Research output: Contribution to journalArticleScientificpeer-review

  9. Tissue segmentation of head and neck CT images for treatment planning: A multiatlas approach combined with intensity modeling

    Fortunati, V., Verhaart, RF., van der Lijn, F., Niessen, WJ., Veenland, JF., Paulides, MM. & van Walsum, T., 2013, In : Medical Physics. 40, 7, p. 1-14 14 p.

    Research output: Contribution to journalArticleScientificpeer-review

  10. Total antioxidant capacity of the diet and major neurologic outcomes in older adults

    Devore, EE., Feskens, E., Ikram, MA., den Heijer, T., Vernooij, MW., van der Lijn, F., Hofman, A., Niessen, WJ. & Breteler, MMB., 2013, In : Neurology. 80, 5, p. 904-910 7 p.

    Research output: Contribution to journalArticleScientificpeer-review

  11. Towards a real-time minimally-invasive vascular intervention simulation system

    Alderliesten, T., Bosman, PAN. & Niessen, WJ., 2007, In : IEEE Transactions on Medical Imaging. 26, 1, p. 128-132 5 p.

    Research output: Contribution to journalArticleScientificpeer-review

  12. Tract-specific white matter degeneration in aging. The Rotterdam study.

    de Groot, M., Ikram, MA., Akoudad, S., Krestin, GP., Hofman, A., van der Lugt, A., Niessen, WJ. & Vernooij, MW., 2014, In : Alzheimer's & Dementia. p. 1-10 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  13. Tract-specific white matter degeneration in aging: The Rotterdam Study

    de Groot, M., Ikram, MA., Akoudad, S., Krestin, GP., Hofman, A., van der Lugt, A., Niessen, WJ. & Vernooij, M. W., 2015, In : Alzheimer's & Dementia. 11, 3, p. 321-330 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  14. Tract-specific white matter microstructure and gait in humans

    Verlinden, V. J. A., De Groot, M., Cremers, L. G. M., van der Geest, J. N., Hofman, A., Niessen, W. J., Van Der Lugt, A., Vernooij, M. W. & Ikram, M. A., 1 Jul 2016, In : Neurobiology of Aging: age-related phenomena, neurodegeneration and neuropathology. 43, p. 164-173 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  15. Trajectories of imaging markers in brain aging: the Rotterdam Study

    Vinke, E. J., de Groot, M., Venkatraghavan, V., Klein, S., Niessen, W. J., Ikram, M. A. & Vernooij, M. W., 1 Nov 2018, In : Neurobiology of Aging. 71, p. 32-40 9 p.

    Research output: Contribution to journalArticleScientificpeer-review

  16. User Interaction in Semi-Automatic Segmentation of Organs at Risk: A Case Study in Radiotherapy

    Ramkumar, A., Dolz, J., Kirisli, HA., Adebahr, S., Schimek-Jasch, T., Nestle, U., Massoptier, L., Varga, E., Stappers, PJ., Niessen, WJ. & Song, Y., 2016, In : Journal of Digital Imaging. 29, 2, p. 264-277 14 p.

    Research output: Contribution to journalArticleScientificpeer-review

  17. Using GOMS and NASA-TLX to Evaluate Human-Computer Interaction Process in Interactive Segmentation

    Ramkumar, A., Stappers, P. J., Niessen, W., Adebahr, S., Schimek-Jasch, T., Nestle, U. & Song, Y., 2017, In : International Journal of Human-Computer Interaction. 33, 2, p. 123-134 12 p.

    Research output: Contribution to journalArticleScientificpeer-review

  18. Validation of Renal Artery Dimensions Measured by Magnetic Resonance Angiography in Patients Referred for Renal Sympathetic Denervation

    van Kranenburg, M., Karanasos, A., Chelu, R. G., van der Heide, E., Ouhlous, M., Nieman, K., van Mieghem, N., Krestin, G., Niessen, W., Zijlstra, F., van Geuns, R. J. & Daemen, J., 2015, In : Academic Radiology. 22, 9, p. 1106-1114

    Research output: Contribution to journalArticleScientificpeer-review

  19. Vascular Brain Disease and Depression in the Elderly

    Ikram, MA., Luijendijk, HJ., Vernooij, MW., Hofman, A., Niessen, WJ., van der Lugt, A., Tiemeier, H. & Breteler, MMB., 2010, In : Epidemiology. 21, 1, p. 78-81 4 p.

    Research output: Contribution to journalArticleScientificpeer-review

  20. Vascular risk factors, apolipoprotein E, and hippocampal decline on magnetic resonance imaging over a 10-year follow-up

    den Heijer, T., van der Lijn, F., Ikram, A. & Niessen, WJ., 2012, In : Alzheimer's & Dementia. 8, 5, p. 417-425 9 p.

    Research output: Contribution to journalArticleScientificpeer-review

  21. Vessel Axis Tracking Using Topology constrained Surface Evolution

    Manniesing, R., Viergever, MA. & Niessen, WJ., 2007, In : IEEE Transactions on Medical Imaging. 26, 3, p. 309-316 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  22. Vessel Enhancing Diffusion: A Scale Space Representation of Vessel Structures

    Manniesing, R., Viergever, MA. & Niessen, WJ., 2006, In : Medical Image Analysis. 10, 6, p. 815-825 11 p.

    Research output: Contribution to journalArticleScientificpeer-review

  23. Vessel Specific Coronary Artery Calcium Scoring: An Automatic System

    Shahzad, R., van Walsum, T., Schaap, M., Rossi, A., Klein, S., Wuestink, AC., de Feyter, P., van Vliet, LJ. & Niessen, WJ., 2012, In : Academic Radiology. p. 1-9 9 p.

    Research output: Contribution to journalArticleScientificpeer-review

  24. Visceral adipose tissue: The link with esophageal adenocarcinoma

    Massl, R., van Blankenstein, M., Jeumink, S., Hermans, JJ., de Haan, MC., Stoker, J., Koek, M., Niessen, WJ., Steverberg, EW., Looman, CW. & Kuipers, EJ., 2014, In : Scandinavian Journal of Gastroenterology. 49, 4, p. 449-457 9 p.

    Research output: Contribution to journalArticleScientificpeer-review

  25. White matter atrophy and lesion formation explain the loss of structural integrity of white matter in aging

    Vernooij, M. W., de Groot, M., van der Lugt, A., Ikram, MA., Krestin, GP., Hofman, A., Niessen, WJ. & Breteler, MM., 2008, In : NeuroImage. 15, 43(3), p. 470-477 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  26. White matter degeneration with aging: Longitudinal diffusion MR imaging analysis

    de Groot, M., Cremers, LGM., Arfan Ikram, M., Hofman, A., Krestin, GP., van der Lugt, A., Niessen, WJ. & Vernooij, MW., 2015, In : Radiology. PP, 99, p. 1-10 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  27. White matter lesion extension to automatic brain tissue segmentation on MRI

    Boer, R., Vrooman, HA., van der Lijn, F., Vernooij, M. W., Ikram, MA., van der Lugt, A., Breteler, MM. & Niessen, WJ., 2009, In : NeuroImage. 1;45(4), p. 1151-1161 11 p.

    Research output: Contribution to journalArticleScientificpeer-review

  28. White matter lesion progression: Genome-wide search for genetic influences

    Hofer, E., Cavalieri, M., Bis, JC., DeCarli, C., Fornage, M., Sigurdsson, S., Srikanth, V., Trompet, S., Verhaaren, BFJ., Wolf, C. & Niessen, WJ., 2015, In : Stroke. 46, 11, p. 3048-3057 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  29. White matter lesions relate to tract-specific reductions in functional connectivity

    Langen, C. D., Zonneveld, H. I., White, T., Huizinga, W., Cremers, L. G. M., De Groot, M., Ikram, M. A., Niessen, W. J. & Vernooij, M. W., 1 Mar 2017, In : Neurobiology of Aging: age-related phenomena, neurodegeneration and neuropathology. 51, p. 97-103 7 p.

    Research output: Contribution to journalArticleScientificpeer-review

  30. White matter microstructural integrity and coginitive function in a general elderly population

    Vernooij, M. W., Ikram, MA., Vrooman, HA., Wielopolski, PA., Krestin, GP., Hofman, A., Niessen, WJ., van der Lugt, A. & Breteler, MM., 2009, In : Archives of General Psychiatry. 66(5), p. 545-553 9 p.

    Research output: Contribution to journalArticleScientificpeer-review

  31. White matter microstructure improves stroke risk prediction in the general population

    Evans, T. E., O'Sullivan, M. J., De Groot, M., Niessen, W. J., Hofman, A., Krestin, G. P., Van Der Lugt, A., Portegies, M. L. P., Koudstaal, P. J., Bos, D., Vernooij, M. W. & Ikram, M. A., 1 Nov 2016, In : Stroke. 47, 11, p. 2756-2762 7 p.

    Research output: Contribution to journalArticleScientificpeer-review

  32. White-matter microstructure and hearing acuity in older adults: a population-based cross-sectional DTI study

    Rigters, S. C., Cremers, L. G. M., Ikram, M. A., van der Schroeff, M. P., De Groot, M., Roshchupkin, G. V., Niessen, W. J. N., Baatenburg de Jong, R. J., Goedegebure, A. & Vernooij, M. W., 1 Jan 2018, In : Neurobiology of Aging: age-related phenomena, neurodegeneration and neuropathology. 61, p. 124-131 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  33. Withdrawal of statins and risk of subarachnoid haemorrhage

    Risselada, R., Straatman, H., van Kooten, F., Dippel, DWJ., van der Lugt, A., Niessen, WJ., Firouzian, A., Herings, RMC. & Sturkenboom, MCJM., 2009, In : Stroke. 40(8), p. 2887-2892 6 p.

    Research output: Contribution to journalArticleScientificpeer-review

  34. XNAT imaging platform for BioMedBridges and CTMM TraIT

    Klein, S., Vast, E., van Soest, J., Dekker, A., Koek, M. & Niessen, WJ., 2015, In : Journal of Clinical Bioinformatics. 5, Suppl 1, p. 1-18 18 p.

    Research output: Contribution to journalArticleScientificpeer-review

  35. Comment/Letter to the editor › Scientific › Peer-reviewed
  36. Erratum: An automatic registration method for pre- and post-interventional CT images for assessing treatment success in liver RFA treatment (Medical Physics (2015) 42 (5559-5567))

    Luu, H. M., Klink, C., Niessen, W., Moelker, A. & Van Walsum, T., 2015, In : Medical Physics. 42, 12, 1 p.

    Research output: Contribution to journalComment/Letter to the editorScientificpeer-review

  37. Response to Dr Fried & Dr Kievit, and Dr Malhi et al.

    Schmaal, L., Veltman, D. J., Van Erp, T. G. M., Smann, P. G., Frodl, T., Jahanshad, N., Loehrer, E., Vernooij, M. W., Niessen, W. J., Ikram, M. A. & More Authors, 2016, In : Molecular Psychiatry. 21, 6, p. 726-728

    Research output: Contribution to journalComment/Letter to the editorScientificpeer-review

  38. Editorial › Scientific › Not peer-reviewed
  39. ESMRMB Round Table report on “Can Europe Lead in Machine Learning of MRI-Data?”

    Pizzini, F. B., Pesapane, F., Niessen, W., Geerts-Ossevoort, L. & Broeckx, N., 2020, In : Magnetic Resonance Materials in Physics, Biology and Medicine. 3 p.

    Research output: Contribution to journalEditorialScientific

  40. Editorial › Scientific › Peer-reviewed
  41. 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

  42. Meeting Abstract › Scientific
  43. Do volume, height and width of the eye determine refractive error? Results from 10-year-old European children from the Generation R Study.

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

    Research output: Contribution to journalMeeting AbstractScientific

  44. Mutation stratification of desmoid-type fibromatosis using a radiogenomics approach

    Timbergen, M., Starmans, M. P. A., Vos, M., Padmos, G. A., Grünhagen, D. J., van Leenders, G. J. L. H., Verhoef, C., Niessen, W., Sleijfer, S. & More Authors, 2019, In : European Journal of Surgical Oncology. 44, 2, p. e16

    Research output: Contribution to journalMeeting AbstractScientific

  45. Predicting brain age as a biomarker for risk of dementia

    Wang, J., Knol, M. J., Tiulpin, A., Dubost, F., de Bruijne, M., Vernooij, M. W., Adams, H. H. H., Ikram, M. A., Niessen, W. & Roshchupkin, G. V., 2019, In : Alzheimer Disease and Associated Disorders. 15, 7, p. P537-P538

    Research output: Contribution to journalMeeting AbstractScientific

  46. Chapter › Scientific › Not peer-reviewed
  47. Free-form deformation using lower-order B-spline for nonrigid image registration.

    Sun, W., Niessen, WJ. & Klein, S., 2014, MICCAI 2014, LNCS 8637, PART1. Golland, P. & et al (eds.). Zwitserland: Springer, p. 194-201 8 p.

    Research output: Chapter in Book/Report/Conference proceedingChapterScientific

  48. Chapter › Scientific › Peer-reviewed
  49. Automated Lesion Detection by Regressing Intensity-Based Distance with a Neural Network

    van Wijnen, K. M. H., Dubost, F., Yilmaz, P., Ikram, M. A., Niessen, W., Adams, H., Vernooij, M. W. & de Bruijne, M., 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 . Shen, D. (ed.). Springer, p. 234-242 (Lecture Notes in Computer Science; vol. 11767).

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

  50. 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, p. 1-23

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

  51. Segmentation for image guided interventions

    Niessen, WJ., 2008, Image Guided Surgery. Peters, T. & Cleary, K. (eds.). Springer, p. 219-241 500 p.

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

  52. Conference contribution › Scientific › Not peer-reviewed
  53. 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 Publishing, p. 230-237 8 p.

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

  54. Conference contribution › Scientific › Peer-reviewed
  55. 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

  56. 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

  57. 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

  58. A Hybrid Deep Learning Framework for Integrated Segmentation and Registration: Evaluation on Longitudinal White Matter Tract Changes

    Li, B., Niessen, W., Klein, S., de Groot, M., Arfan Ikram, M., Vernooij, M. & Bron, E. E., 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 . Shen, D., Liu, T., Peters, T. M., Staib, L. H., Essert, C., Zhou, S., Yap, P-T. & Khan, A. (eds.). Springer, p. 645-653 (Lecture Notes in Computer Science ; vol. 11766).

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

  59. 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

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