1. Conference article › Scientific › Peer-reviewed
  2. Cascaded classifier for large-scale data applied to automatic segmentation of articular cartilage

    Prasoon, A., Igel, C., Loog, M., Lauze, F., Dam, E. & Nielsen, M., 2012, In : Proceedings of SPIE- International Society for Optical Engineering. 8314, p. 1-9 9 p.

    Research output: Contribution to journalConference articleScientificpeer-review

  3. Towards exaggerated emphysema stereotypes

    Chen, C., Sørensen, L., Lauze, F., Igel, C., Loog, M., Feragen, A., Bruijne, M. D. & Nielsen, M., 2012, In : Proceedings of SPIE- International Society for Optical Engineering. 8315, p. 1-13 13 p.

    Research output: Contribution to journalConference articleScientificpeer-review

  4. Dissertation (external) › Scientific
  5. Supervised dimensionality reduction and contextual pattern recognition in medical image processing

    Loog, M., 2004, S.l.: s.n.. 116 p.

    Research output: ThesisDissertation (external)Scientific

  6. Dissertation (TU Delft) › Scientific
  7. Assumptions & Expectations in Semi-Supervised Machine Learning

    Mey, A., 2020, 117 p.

    Research output: ThesisDissertation (TU Delft)Scientific

  8. Bioinformatic Analysis of Genomic and Transcriptomic Variation in Fungi

    Gehrmann, T., 2018, 121 p.

    Research output: ThesisDissertation (TU Delft)Scientific

  9. Electrochemical recycling of rare earth elements from NdFeB magnet waste

    Venkatesan, P., 2019, 90 p.

    Research output: ThesisDissertation (TU Delft)Scientific

  10. Hydrometallurgical recycling of rare earth elements from secondary resources

    Peelman, S., 2019, 139 p.

    Research output: ThesisDissertation (TU Delft)Scientific

  11. Learning from weakly representative data and applications in spectral image analysis

    Dinh, VC., 2013, 112 p.

    Research output: ThesisDissertation (TU Delft)Scientific

  12. Multi-scale pattern recognition for image classification and segmentation

    Li, Y., 2013, Delft, The Netherlands: INSY, TU Delft. 117 p.

    Research output: ThesisDissertation (TU Delft)Scientific

  13. On domain-adaptive machine learning

    Kouw, W., 2018, 189 p.

    Research output: ThesisDissertation (TU Delft)Scientific

  14. Optimum Single Molecule Localization Microscopy: From Single Molecule Detections to Nanoscopic Observations

    Smith, C., 2016, 210 p.

    Research output: ThesisDissertation (TU Delft)Scientific

  15. Towards Practical Active Learning for Classification

    Yang, Y., 2018, 133 p.

    Research output: ThesisDissertation (TU Delft)Scientific

  16. Use of volunteers' information to support proactive inspection of hydraulic structures

    Cortes Arevalo, J., 26 Apr 2016, 177 p.

    Research output: ThesisDissertation (TU Delft)Scientific

  17. Report › Scientific
  18. Approximate pairwise accuracy criteria for multiclass linear dimension in reduction

    Loog, M., 1999, Delft: Delft University Press. 69 p.

    Research output: Book/ReportReportScientific

  19. Book editing › Scientific › Peer-reviewed
  20. Deep Learning and Data Labeling for Medical Applications: First International Workshop, LABELS 2016, and Second International Workshop, DLMIA 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings

    Carneiro, G. (ed.), Mateus, D. (ed.), Peter, L. (ed.), Bradley, A. (ed.), Tavares, J. M. R. S. (ed.), Belagiannis, V. (ed.), Papa, J. P. (ed.), Nascimento, J. C. (ed.), Loog, M. (ed.), Lu, Z. (ed.), Cardoso, J. S. (ed.) & Cornebise, J. (ed.), 2016, 1 ed. Springer. 280 p. (Lecture Notes in Computer Science: Image Processing, Computer Vision, Pattern Recognition, and Graphics; vol. 10008)

    Research output: Book/ReportBook editingScientificpeer-review

  21. Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR International Workshop, S+SSPR 2016, Mérida, Mexico, November 29 - December 2, 2016, Proceedings

    Robles-Kelly, A. (ed.), Loog, M. (ed.), Biggio, B. (ed.), Escolano, F. (ed.) & Wilson, R. (ed.), 2016, Cham: Springer. 378 p. (Lecture Notes in Computer Science; vol. 10029)

    Research output: Book/ReportBook editingScientificpeer-review

  22. Book editing › Scientific › Not peer-reviewed
  23. Afvalwater: Hoe maken we de cirkel weer rond?

    van Loosdrecht, M. C. M. (ed.), Stams, A. J. M. (ed.), Hoekstra, W. (ed.) & Graaf, van de, A. (ed.), 2018, Stichting Biowetenschappen en Maatschappij - Onderdeel NWO. 94 p. (Biowetenschappen en Maatschappij; vol. 37, no. 2)

    Research output: Book/ReportBook editingScientific

  24. Other contribution › Scientific
  25. Recent submissions in linear dimensionality reduction and face recognition

    Duin, RPW., Loog, M. & Ho, TK., 2006, Elsevier.

    Research output: Other contributionScientific

  26. Abstract › Scientific
  27. Bag dissimilarities for multiple instance learning

    Cheplygina, VV., Tax, DMJ., Duin, RPW., Lee, WJ. & Loog, M., 2012, p. 58-58. 1 p.

    Research output: Contribution to conferenceAbstractScientific

  28. Do you trust your multiple instance learning classifier?

    Cheplygina, V., Sørensen, L., Tax, D., de Bruijne, M. & Loog, M., 2017, p. 72-73. 2 p.

    Research output: Contribution to conferenceAbstractScientific

  29. Generalization Bound Minimization for Active Learning

    Viering, T., Krijthe, J. & Loog, M., 2017, p. 108-109. 2 p.

    Research output: Contribution to conferenceAbstractScientific

  30. On an elementary definition of visual saliency

    Loog, M., 2008, p. 4-4. 1 p.

    Research output: Contribution to conferenceAbstractScientific

  31. Conference contribution › Professional
  32. An initial study into image segmentation by combining multi-scale information

    Li, Y., Tax, DMJ. & Loog, M., 2009, Proceedings of the fifteenth annual conference of the Advanced School for Computing and Imaging. Gevers, T., Bos, HJ. & Wolters, L. (eds.). Delft: ASCI, p. 1-6 6 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionProfessional

  33. Conference contribution › Scientific › Peer-reviewed
  34. A Compact Representation of Multiscale Dissimilarity Data by Prototype Selection

    Plasencia-Calaña, Y., Li, Y., Duin, R. P. W., Orozco-Alzate, M., Loog, M. & García-Reyes, E., 2017, Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 21st Iberoamerican Congress, CIARP 2016, Proceedings. Beltrán-Castañón, C., Nyström, I. & Famili, F. (eds.). Cham: Springer, p. 150-157 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10125 LNCS).

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  35. A Distribution Dependent and Independent Complexity Analysis of Manifold Regularization

    Mey, A., Viering, T. J. & Loog, M., 2020, Advances in Intelligent Data Analysis XVIII - 18th International Symposium on Intelligent Data Analysis, IDA 2020, Proceedings. Berthold, M. R., Feelders, A. & Krempl, G. (eds.). Springer Open, p. 326-338 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12080 LNCS).

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  36. A soft-labeled self-training approach

    Mey, A. & Loog, M., 2016, 2016 23rd International Conference on Pattern Recognition (ICPR). Piscataway, NJ: IEEE, p. 2604-2609 6 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  37. A study on semi-supervised dissimilarity representation

    Dinh, VC., Duin, RPW. & Loog, M., 2012, Proceedings of 21st International Conference on Pattern Recognition (ICPR 2012). SN (ed.). Berlin, Germany: Springer, p. 2862-2864 3 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  38. A variational method for automatic localization of the most pathological ROI in the knee Cartilage

    Qazi, AA., Dam, EB., Loog, M., Nielsen, M., Lauze, F. & Christiansen, C., 2008, Medical Imaging 2008: Image processing. Reinhardt, JM. & Pluim, JPW. (eds.). SPIE, p. 1-9 9 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  39. Active Learning Using Uncertainty Information

    Yang, Y. & Loog, M., 2016, 2016 23rd International Conference on Pattern Recognition (ICPR). Piscataway, NJ: IEEE, p. 2646-2651 6 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  40. An Empirical Investigation into the Inconsistency of Sequential Active Learning

    Loog, M. & Yang, Y., 2016, 2016 23rd International Conference on Pattern Recognition (ICPR). Piscataway, NJ: IEEE, p. 210-215 6 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  41. An experimental study on combining Euclidean distances

    Lee, WJ., Duin, RPW., Ibba, A. & Loog, M., 2010, 2010 2nd International Workshop on Cognitive Information Processing (CIP 2010). Gini, F., Theodoridis, S., Greco, MS. & Debbah, M. (eds.). New York, NY, USA: IEEE Society, p. 304-309 6 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  42. An experimental study on combining Euclidean distances

    Lee, WJ., Duin, RPW., Ibba, A. & Loog, M., 2010, Proceedings of the 2nd International Workshop on Cognitive Information Processing (CIP), 2010. S.N. (ed.). NY, NY, USA: IEEE Society, p. 304-309 6 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  43. Automated classification of local patches in colon histopathology

    Kalkan, H., Nap, M., Duin, RPW. & Loog, M., 2012, Proceedings of 21st International Conference on Pattern Recognition (ICPR 2012). SN (ed.). Berlin, Germany: Springer, p. 61-64 4 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  44. Automatic classification of municipal call data for quantitative urban drainage system analysis

    ten Veldhuis, JAE., Harder, RC. & Loog, M., 2010, 1st European IAHR Congress. s.n. (ed.). Edinburgh: IAHR, p. 1-6 6 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  45. Bicycle chain shape models

    Sommer, SM., Tatu, A., Chen, Q., Jurgensen, DR., Bruijne, M., Loog, M., Nielsen, M. & Lauze, F., 2009, Proceedings of the Computer Vision and Pattern Recognition Workshops, 2009. CVPR Workshops 2009. Sn (ed.). Piscataway,NJ, USA: IEEE Society, p. 157-163 7 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  46. Classification of COPD with multiple instance learning

    Cheplygina, VV., Sørensen, L., Tax, DMJ., Pedersen, JH., Loog, M. & Feragen, A., 2014, Proceedings of the 2014 22nd International Conference on Pattern Recognition. Los Alamitos, CA, USA: IEEE Society, p. 1508-1513 6 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  47. Combining instance information to classify bags

    Cheplygina, VV., Tax, DMJ. & Loog, M., 2013, Multiple Classifier Systems - Proceedings 11th International Workshop MCS 2013. Zhou, Z-H., Roli, F. & Kittler, J. (eds.). Berlin-Heidelberg: Springer, p. 13-24 12 p. (Lecture Notes in Computer Science; vol. 7872).

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  48. Conditional random fields for protein function prediction

    Gehrmann, T., Loog, M., Reinders, MJT. & de Ridder, D., 2013, Pattern Recognition in Bioinformatics - Proceedings 8th IAPR International Conference PRIB 2013. Ngom, A., Formenti, E., Hao, J-K., Zhao, X-M. & van Laarhoven, T. (eds.). Berlin Heidelberg: Springer, p. 184-195 12 p. (Lecture Notes in Computer Science; vol. 7986).

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  49. Contextual loss functions for optimization of convolutional neural networks generating pseudo CTs from MRI

    van Stralen, M., Zhou, Y., Wozny, P. J., Seevinck, P. R. & Loog, M., 2018, Medical Imaging 2018: Image Processing. Angelini, E. D. & Landman, B. A. (eds.). Bellingham: SPIE, p. 105741N-1 - 105741N-6 6 p. 105741N. (Proceedings of Spie; vol. 10574).

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  50. Dense interative contextual pixel classification using kriging

    Ganz, M., Loog, M., Brandt, S. & Nielsen, M., 2009, Proceedings of the Computer Vision and Pattern Recognition Workshops, 2009. CVPR Workshops 2009. Sn (ed.). Piscataway,NJ, USA: IEEE Society, p. 87-93 7 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  51. Dimensionality reduction by canonical contextual correlation projections

    Loog, M., van Ginneken, B. & Duin, RPW., 2004, ECCV 2004; Proceedings of the eight European conference on computer vision. Pajdla, T. & Matas, J. (eds.). Berlin: Springer, p. 562-573 12 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  52. Dissimilarity-based detection of schizophrenia

    Ulas, A., Duin, RPW., Castellani, U., Loog, M., Bicego, M. & Murino, M., 2010, Proceedings of the ICPR 2010 workshop on Pattern Recognition Challenges in FMRI Neuroimaging, 2010. S.N. (ed.). NY,NY, USA: IEEE Society, p. 32-35 4 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  53. Does one rotten apple spoil the whole barrel?

    Cheplygina, VV., Tax, DMJ. & Loog, M., 2012, Proceedings of 21st International Conference on Pattern Recognition (ICPR 2012). SN (ed.). IJSCI, p. 1156-1159 4 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  54. Early Experiences with Crowdsourcing Airway Annotations in Chest CT

    Cheplygina, V., Perez-Rovira, A., Kuo, W., Tiddens, H. A. W. M. & Bruijne, M. D., 2016, Deep Learning and Data Labeling for Medical Applications: First International Workshop, LABELS 2016, and Second International Workshop, DLMIA 2016, Held in Conjunction with MICCAI 2016, Proceedings. Carneiro, G., Mateus, D., Peter, L., Bradley, A., Tavares, J. M. R. S., Belagiannis, V., Papa, J. P., Nascimento, J. C., Loog, M., Lu, Z., Cardoso, J. S. & Cornebise, J. (eds.). Cham: Springer, p. 209-2018 10 p. (Lecture Notes in Computer Science; vol. 10008).

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  55. Early diagnosis of dementia based on intersubject whole-brain dissimilarities

    Klein, S., Loog, M., van der Lijn, F., den Heijer, T., Hammers, A., Bruijne, M., van der Lugt, A., Duin, RPW., Breteler, MMB. & Niessen, WJ., 2010, Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro. S.N. (ed.). Piscataway, NJ USA: IEEE Society, p. 249-252 4 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  56. Effects of sampling skewness of the importance-weighted risk estimator on model selection

    Kouw, W. & Loog, M., 2018, 2018 24th International Conference on Pattern Recognition (ICPR). IEEE, p. 1468-1473 6 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  57. Evaluating Classification Performance with only Positive and Unlabeled Samples

    Hajizadeh, S., Li, Z., Dollevoet, RPBJ. & Tax, DMJ., 2014, Structural, Syntactic, and Statistical Pattern Recognition. Franti, P., Brown, G., Loog, M., Escolano, F. & Pelillo, M. (eds.). Berlin: Springer, p. 233-242 10 p. (Lecture Notes in Computer Science; vol. 8621).

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  58. Gradient descent for gaussian processes variance reduction

    Bottarelli, L. & Loog, M., 2018, Structural, Syntactic, and Statistical Pattern Recognition : Joint IAPR International Workshop, S+SSPR 2018, Proceedings. Bai, X., Hancock, E. R., Ho, T. K., Wilson, R. C., Biggio, B. & Robles-Kelly, A. (eds.). Cham: Springer, p. 160-169 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11004 ).

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  59. Housing pathology

    Thomsen, A., 2015, Proceedings of the 1st International Symposium on Building Pathology: ISBP-2015. de Freitas, V. P., de Angelis, E., Corvacho, H., Delgado, J. M. P. Q. & Guimaraes, A. S. (eds.). Porto: FEUP, p. 377-388

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  60. Implicitly Constrained Semi-Supervised Least Squares Classification

    Krijthe, JH. & Loog, M., 2015, Proceedings of the 14th International Symposium on Advances in Intelligent Data Analysis XIV. Fromont, T., de Bie, T. & van Leeuwen, M. (eds.). Dordrecht: Springer, p. 158-169 12 p. (Lecture Notes in Computer Science; vol. 9385).

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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