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 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  21. 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

  22. 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

  23. 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

  24. 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

  25. 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

  26. 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

  27. 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

  28. 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

  29. 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

  30. 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

  31. 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

  32. 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

  33. 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

  34. 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

  35. 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

  36. 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

  37. 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

  38. 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

  39. 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

  40. 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

  41. 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

  42. 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

  43. 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

  44. 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

  45. 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

  46. 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

  47. Automated Quantification of Enlarged Perivascular Spaces in Clinical Brain MRI across Sites

    Dubost, F., Dünnwald, M., Huff, D., Scheurmann, V., Schreiber, F., Vernooij, M. W., Niessen, W., Skalej, M., Schreiber, S. & More Authors, 2019, Proceedings of 2nd International Workshop on Context-Aware Surgical Theaters,OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging, MLCN 2019. Zhou, L., Sarikaya, D., Kia, S. M., Speidel, S., Malpani, A., Hashimoto, D., Habes, M., Lofstedt, T., Ritter, K. & Wang, H. (eds.). Springer Verlag, p. 103-111 (Lecture Notes in Computer Science; vol. 11796).

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

  48. 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

  49. 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

  50. 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

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