1. Article › Scientific › Peer-reviewed
  2. A 3-D active shape model driven by fuzzy inference: application to cardiac CT and MR

    van Assen, HC., Danilouchkine, MG., Dirksen, MS., Reiber, JHC. & Lelieveldt, BPF., 2008, In : IEEE Transactions on Information Technology in Biomedicine. 12, 5, p. 595-605 11 p.

    Research output: Contribution to journalArticleScientificpeer-review

  3. A Hierarchical Approach for Associating Body-Worn Sensors to Video Regions in Crowded Mingling Scenarios

    Cabrera Quiros, L. & Hung, H., 2019, In : IEEE Transactions on Multimedia. 21, 7, p. 1867-1879 13 p.

    Research output: Contribution to journalArticleScientificpeer-review

  4. A benchmark and comparison of active learning for logistic regression

    Yang, Y. & Loog, M., 2018, In : Pattern Recognition. 83, p. 401-415 15 p.

    Research output: Contribution to journalArticleScientificpeer-review

  5. A dissimilarity-based multiple instance learning approach for protein remote homology detection

    Mensi, A., Bicego, M., Lovato, P., Loog, M. & Tax, D. M. J., 2019, In : Pattern Recognition Letters. 128, p. 231-236 6 p.

    Research output: Contribution to journalArticleScientificpeer-review

  6. A framework for optimizing measurement weight maps to minimize

    Qazi, AA., Jørgensen, DR., Lillholm, M., Loog, M., Nielsen, M. & Dam, EB., 2010, In : Medical Image Analysis. 14, 3, p. 255-264 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  7. A note on an extreme case of the generalized optimal discriminant transformation

    Loog, M., Wu, X-J., Lu, J. -P., Yang, J-Y., Wang, S-T. & Kittler, J., 2008, In : Neurocomputing. 72, p. 664-665 2 p.

    Research output: Contribution to journalArticleScientificpeer-review

  8. A novel and automatic mammographic texture resemblance marker is an independent risk factor for breast cancer

    Nielsen, M., Karemore, G., Loog, M., Raundahl, J., Karssemeijer, N., Otten, JDM., Karsdal, MA., Vachon, CM. & Christiansen, C., 2010, In : Cancer Epidemiology: the international journal of cancer epidemiology, detection and prevention. 35, 4, p. 381-387 7 p.

    Research output: Contribution to journalArticleScientificpeer-review

  9. A simulation study on the effect of optimized high permittivity materials on fetal imaging at 3T

    van Gemert, J., Brink, W. M., Remis, R. & Webb, A., 2019, In : Magnetic Resonance in Medicine. 82, 5, p. 1822-1831 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  10. 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

  11. A texton-based approach for the classification of lung parenchyma in CT images

    Gangeh, MJ., Sørensen, L., Shaker, SB., Kamel, MS., Bruijne, M. D. & Loog, M., 2010, In : Lecture Notes in Computer Science. 6363, p. 595-602 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  12. A variance maximization criterion for active learning

    Yang, Y. & Loog, M., 2018, In : Pattern Recognition. 78, p. 358-370 13 p.

    Research output: Contribution to journalArticleScientificpeer-review

  13. Accelerating compressed sensing in parallel imaging reconstructions using an efficient circulant preconditioner for cartesian trajectories

    Koolstra, K., van Gemert, J., Börnert, P., Webb, A. & Remis, R., 2019, In : Magnetic Resonance in Medicine. 81, 1, p. 670-685 16 p.

    Research output: Contribution to journalArticleScientificpeer-review

  14. Accelerating implant RF safety assessment using a low-rank inverse update method

    Stijnman, P. R. S., Tokaya, J. P., van Gemert, J., Luijten, P. R., Pluim, J. P. W., Brink, W. M., Remis, R., van den Berg, C. A. T. & Raaijmakers, A. J. E., 2019, In : Magnetic Resonance in Medicine. p. 1-14 14 p.

    Research output: Contribution to journalArticleScientificpeer-review

  15. Accelerating t-SNE using Tree-Based Algorithms

    van der Maaten, LJP., 2014, In : Journal of Machine Learning Research . 15, p. 3221-3245 25 p.

    Research output: Contribution to journalArticleScientificpeer-review

  16. Action unit classification using active appearance models and conditional random fields

    van der Maaten, LJP. & Hendriks, EA., 2012, In : Cognitive Processing: international quarterly of cognitive science. 13, 2, p. 507-518 12 p.

    Research output: Contribution to journalArticleScientificpeer-review

  17. Adaptive stereo similarity fusion using confidence measures

    Saygili, G., van der Maaten, LJP. & Hendriks, EA., 2015, In : Computer Vision and Image Understanding. 135, June, p. 95-108 14 p.

    Research output: Contribution to journalArticleScientificpeer-review

  18. 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

  19. An Efficient Methodology for the Analysis of Dielectric Shimming Materials in Magnetic Resonance Imaging

    Van Gemert, J. H. F., Brink, W., Webb, A. & Remis, R., 2017, In : IEEE Transactions on Medical Imaging. 36, 2, p. 666-673 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  20. An Efficient Preconditioner for Stochastic Gradient Descent Optimization of Image Registration

    Qiao, Y., Lelieveldt, B. P. F. & Staring, M., 2019, In : IEEE Transactions on Medical Imaging. 38, 10, p. 2314-2325 12 p., 8638803.

    Research output: Contribution to journalArticleScientificpeer-review

  21. An automated method for semantic classification of regions in coastal images

    Hoonhout, BM., Radermacher, M., Baart, F. & van der Maaten, LJP., 2015, In : Coastal Engineering. 105, 1, p. 1-12 12 p.

    Research output: Contribution to journalArticleScientificpeer-review

  22. An objective comparison of cell-tracking algorithms

    Ulman, V., Maška, M., Magnusson, K. E. G., Ronneberger, O., Haubold, C., Harder, N., Matula, P., Matula, P., Svoboda, D., Radojevic, M., Smal, I., Rohr, K., Jaldén, J., Blau, H. M., Dzyubachyk, O. & Lelieveldt, B., 2017, In : Nature Methods (online). 14, 12, p. 1141-1152 12 p.

    Research output: Contribution to journalArticleScientificpeer-review

  23. Analysis and compensation for the effect of the catheter position on image intensities in intravascular optical coherence tomography

    Liu, S., Eggermont, J., Wolterbeek, R., Broersen, A., Busk, C. A. G. R., Precht, H., Lelieveldt, B. P. F. & Dijkstra, J., 2016, In : Journal of Biomedical Optics. 21, 12, p. 1-10 10 p., 126005.

    Research output: Contribution to journalArticleScientificpeer-review

  24. Analyzing floristic inventories with multiple maps

    van der Maaten, LJP., Schmidtlein, S. & Mahecha, MD., 2012, In : Ecological Informatics: an international journal on ecoinformatics and computational ecology. 9, p. 1-10 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  25. Approximated and User Steerable tSNE for Progressive Visual Analytics

    Pezzotti, N., Lelieveldt, B. P. F., van der Maaten, L., Höllt, T., Eisemann, E. & Vilanova, A., 2016, In : IEEE Transactions on Visualization and Computer Graphics. 23, 7, p. 1739-1752 14 p.

    Research output: Contribution to journalArticleScientificpeer-review

  26. Articulated whole-body atlases for small animal image analysis: construction and applications

    Khmelinskii, A., Baiker, M., Kaijzel, EL., Chen, J., Reiber, JHC. & Lelieveldt, BPF., 2010, In : Molecular Imaging and Biology. 12, p. 224-253 30 p.

    Research output: Contribution to journalArticleScientificpeer-review

  27. Assessment of Viscous Energy Loss and the Association with Three-Dimensional Vortex Ring Formation in Left Ventricular Inflow: In Vivo Evaluation Using Four-Dimensional Flow MRI

    Elbaz, M. S. M., van der Geest, R. J., Calkoen, E. E., de Roos, A., Lelieveldt, B. P. F., Roest, A. A. W. & Westenberg, J. J. M., 2017, In : Magnetic Resonance in Medicine. 77, 2, p. 794-805 12 p.

    Research output: Contribution to journalArticleScientificpeer-review

  28. Asymmetric kernel in Gaussian Processes for learning target variance

    Pintea, S. L., van Gemert, J. C. & Smeulders, A. W. M., 2018, In : Pattern Recognition Letters. 108, p. 70-77 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  29. Automated Ischemic Lesion Segmentation in MRI Mouse Brain Data after Transient Middle Cerebral Artery Occlusion

    Mulder, I. A., Khmelinskii, A., Dzyubachyk, O., de Jong, S., Rieff, N., Wermer, M. J. H., Hoehn, M., Lelieveldt, B. P. F. & van den Maagdenberg, A. M. J. M., 2017, In : Frontiers in Neuroinformatics. 11, 3.

    Research output: Contribution to journalArticleScientificpeer-review

  30. Automated algorithm for reconstruction of the complete spine from multistation 7T MR data

    Dzyubachyk, O., Lelieveldt, BPF., Blaas, J., Reijnierse, M., Webb, A. & van der Geest, RG., 2013, In : Magnetic Resonance in Medicine. 13, 6, p. 1777-1786 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  31. Automated bone volume and thickness measurements in small animal whole-body MicroCT data

    Baiker, M., Snoeks, TJA., Kaijzel, EL., Que, I., Dijkstra, J., Lelieveldt, BPF. & Löwik, CWGM., 2012, In : Molecular Imaging and Biology. 14, 4, p. 420-430 11 p.

    Research output: Contribution to journalArticleScientificpeer-review

  32. Automated colorectal cancer diagnosis for whole-slice histopathology

    Kalkan, H., Nap, M., Duin, RPW. & Loog, M., 2012, In : Lecture Notes in Computer Science. 7512, p. 550-557 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  33. Automated detection of regional wall motion abnormalities based on a statistical model applied to multiscale short-axis cardiac MR images

    Suinesiaputra, A., Frangi, AF., Kaandorp, TAM., Lamb, HJ., Bax, J. J., Reiber, JHC. & Lelieveldt, BPF., 2009, In : IEEE Transactions on Medical Imaging. 28, 4, p. 595-607 13 p.

    Research output: Contribution to journalArticleScientificpeer-review

  34. Automated effect-specific mammographic pattern messures

    Raundahl, J., Loog, M., Pettersen, P., Tanko, LB. & Nielsen, M., 2008, In : IEEE Transactions on Medical Imaging. 27, 8, p. 1054-1060 7 p.

    Research output: Contribution to journalArticleScientificpeer-review

  35. Automated extraction and labelling of the arterial tree from whole-body MRA data

    Shahzad, R., Dzyubachyk, O., Staring, M., Kullberg, J., Johansson, L., Ahlström, H., Lelieveldt, BPF. & van der Geest, R. J., 2015, In : Medical Image Analysis. 24, 1, p. 28-40 13 p.

    Research output: Contribution to journalArticleScientificpeer-review

  36. Automated left ventricular delineation in X-ray angiograms: A validation study

    Oost, E., Oemrawsingh, P., Reiber, JH. & Lelieveldt, BPF., 2009, In : Catheterization and Cardiovascular Interventions. 73, 2, p. 231-240 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  37. Automated regional wall motion abnormality detection by combining rest and stress cardiac MRI: Correlation with contrast-enhanced MRI

    Suinesiaputra, A., Frangi, AF., Kaandorp, TAM., Lamb, HJ., Bax, J. J., Reiber, JHC. & Lelieveldt, BPF., 2011, In : Journal of Magnetic Resonance Imaging. 34, 2, p. 270-278 9 p.

    Research output: Contribution to journalArticleScientificpeer-review

  38. Automatic classification of municipal call data to support quantitative risk analysis of urban drainage systems

    ten Veldhuis, JAE., Harder, RC. & Loog, M., 2010, In : Structure & Infrastructure Engineering: maintenance, management, life-cycle design & performance. 2010, november, p. 1744-8980 7237 p.

    Research output: Contribution to journalArticleScientificpeer-review

  39. Automatic generic registration of mass spectrometry imaging data to histology using nonlinear stochastic embedding

    Abdelmoula, W., ¿krá¿ková, K., Balluff, B., Carreira, R., Tolner, E., Lelieveldt, BPF., van der Maaten, LJP., Morreau, H., van den Maagdenberg, A., Heeren, R., McDonnell, L. & Dijkstra, J., 2014, In : Analytical Chemistry. 62, 18, p. 9204-9211 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  40. Automatic quantification of bone marrow edema on MRI of the wrist in patients with early arthritis: A feasibility study

    Aizenberg, E., Roex, E. A. H., Nieuwenhuis, W. P., Mangnus, L., van der Helm-Mil, A. H. M., Reijnierse, M., Bloem, J. L., Lelieveldt, B. P. F. & Stoel, B. G., 2018, In : Magnetic Resonance in Medicine. 79, 2, p. 1127-1134 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  41. Automatic registration of mass spectrometry imaging data sets to the Allen Brain Atlas

    Abdelmoula, WM., Carreira, RJ., Shyti, R., Balluff, B., van Zeijl, RJM., Tolner, EA., Lelieveldt, BPF., van den Maagdenberg, AMJM., McDonnell, LA. & Dijkstra, J., 2014, In : Analytical Chemistry. 86, 8, p. 3947-3954 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  42. Automatic thread-level canvas analysis

    van der Maaten, LJP. & Erdmann, RG., 2015, In : IEEE Signal Processing Magazine. 32, 4, p. 38-45 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  43. Bag dissimilarities for multiple instance learning

    Tax, DMJ., Loog, M., Duin, RPW., Cheplygina, VV. & Lee, WJ., 2011, In : Lecture Notes in Computer Science. 7005, p. 222-234 13 p.

    Research output: Contribution to journalArticleScientificpeer-review

  44. Brain maturation of the adolescent rat cortex and striatum: Changes in volume and myelination

    Mengler, L., Khmelinskii, A., Diedenhofen, M., Po, C., Staring, M., Lelieveldt, BPF. & Hoehn, M., 2014, In : NeuroImage. 84, p. 35-44 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  45. Brain transcriptome atlases: A computational perspective

    Mahfouz, A., Huisman, S. M. H., Lelieveldt, B. P. F. & Reinders, M. J. T., 2017, In : Brain Structure and Function. p. 1557-1580 24 p.

    Research output: Contribution to journalArticleScientificpeer-review

  46. BrainScope: Interactive visual exploration of the spatial and temporal human brain transcriptome

    Huisman, S. M. H., Van Lew, B., Mahfouz, A., Pezzotti, N., Höllt, T., Michielsen, L., Vilanova, A., Reinders, M. J. T. & Lelieveldt, B. P. F., 2017, In : Nucleic Acids Research. 45, 10, e83.

    Research output: Contribution to journalArticleScientificpeer-review

  47. Breast density changes associated with postmenopausal hormone therapy: post hoc radiologist- and computer-based analyses

    Nielsen, M., Pettersen, PC., Alexandersen, PMD., Karemore, G., Raundahl, J., Loog, M. & Christiansen, C., 2010, In : Menopause. 17, 4, p. 772-778 7 p.

    Research output: Contribution to journalArticleScientificpeer-review

  48. Bridging structure and feature representations in graph matching

    Lee, WJ., Cheplygina, VV., Tax, DMJ., Loog, M. & Duin, RPW., 2012, In : International Journal of Pattern Recognition and Artificial Intelligence. 26, 5, p. 1260005-1-1260005-22

    Research output: Contribution to journalArticleScientificpeer-review

  49. 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

  50. Class-dependent dissimilarity measures for multiple instance learning

    Cheplygina, VV., Tax, DMJ. & Loog, M., 2012, In : Lecture Notes in Computer Science. 7626, p. 602-610 9 p.

    Research output: Contribution to journalArticleScientificpeer-review

  51. Co-expression Patterns between ATN1 and ATXN2 Coincide with Brain Regions Affected in Huntington’s Disease

    Keo, A., Aziz, N. A., Dzyubachyk, O., Van Der Grond, J., van Roon-Mom, W. M. C., Lelieveldt, B. P. F., Reinders, M. J. T. & Mahfouz, A., 2017, In : Frontiers in Molecular Neuroscience . 10, p. 1-13 13 p., 399.

    Research output: Contribution to journalArticleScientificpeer-review

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