Christian Igel

Christian Igel

Professor

Medlem af:

    Kommentarer til publikationsliste

    This list of pubications is not fully complete.

    For a complete list of older publications as well as papers and software available online please vist my old homepage: http://image.diku.dk/igel

    I also maintain a Google Scholar profile: https://scholar.google.dk/citations?user=d-jF4zIAAAAJ


    1. Design of a field model for early vision: a case study of evolutionary algorithms in neuroscience

      Igel, Christian & von Seelen, W., 2001, Göttingen Neurobiology Report 2001: Proceedings of the 4th Meeting of the German Neuroscience Society 2001; Volume II. 28th Göttingen Neurobiology Conference. Elsner, N. & Kreutzberg, G. W. (red.). Thieme Medical Publishers, Bind 2. s. 1034 1 s.

      Publikation: Bidrag til bog/antologi/rapportKonferenceabstrakt i proceedingsForskning

    2. Evolutionary optimization of neural systems: the use of strategy adaptation

      Igel, Christian, Wiegand, S. & Friedrichs, F., 2005, Trends and applications in constructive approximation. Mache, D. H., Szabados, J. & de Bruin, M. G. (red.). Birkhäuser Verlag, s. 103-123 21 s. (International Series of Numerical Mathematics, Bind 151).

      Publikation: Bidrag til bog/antologi/rapportBidrag til bog/antologiForskningfagfællebedømt

    3. Udgivet

      A note on generalization loss when evolving adaptive pattern recognition systems

      Igel, Christian, 2013, I: I E E E Transactions on Evolutionary Computation. 17, 3, s. 345-352 8 s.

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    4. Efficient covariance matrix update for evolution strategies

      Igel, Christian, 2008, Theory of Evolutionary Algorithms. Arnold, D. V., Auger, A., Rowe, J. E. & Witt, C. (red.). Schloss Dagstuhl - Leibniz-Zentrum für Informatik, s. 6 1 s. (Dagstuhl Seminar Proceedings, Bind 08051).

      Publikation: Bidrag til bog/antologi/rapportKonferenceabstrakt i proceedingsForskning

    5. Operator adaptation in structure optimization of neural networks

      Igel, Christian & Kreutz, M., 2001, Proceedings of the 3rd Annual Conference on Genetic and Evolutionary Computation: GECCO'01. Spector, L., Goodman, E. D., Wu, A., Langdon, W. B. & Voigt, H-M. (red.). Morgan Kaufmann, s. 1094 1 s.

      Publikation: Bidrag til bog/antologi/rapportKonferenceabstrakt i proceedingsForskningfagfællebedømt

    6. Rprop using the natural gradient

      Igel, Christian, Toussaint, M. & Weishui, W., 2005, Trends and applications in constructive approximation. Mache, D. H., Szabados, J. & de Bruin, M. G. (red.). Birkhäuser Verlag, s. 259-272 14 s. (International Series of Numerical Mathematics, Bind 151).

      Publikation: Bidrag til bog/antologi/rapportBidrag til bog/antologiForskningfagfællebedømt

    7. Second-order SMO for SVM online and active learning

      Igel, Christian, 2009, 23rd European Conference on Operational Research: book of abstracts. s. 162 1 s. TD-31

      Publikation: Bidrag til bog/antologi/rapportKonferenceabstrakt i proceedingsForskning

    8. On classes of functions for which No Free Lunch results hold

      Igel, Christian & Toussaint, M., 2003, I: Information Processing Letters. 86, 6, s. 317-321 5 s.

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    9. Empirical evaluation of the improved Rprop learning algorithm

      Igel, Christian & Hüsken, M., 2003, I: Neurocomputing. 50, s. 105-123 19 s.

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    10. Evolutionary kernel learning

      Igel, Christian, 2010, Encyclopedia of machine learning. Sammut, C. & Webb, G. I. (red.). Springer, 4 s.

      Publikation: Bidrag til bog/antologi/rapportEncyclopædiartikelForskningfagfællebedømt

    11. Optimization of dynamic neural fields

      Igel, Christian, Erlhagen, W. & Jancke, D., 2001, I: Neurocomputing. 36, 1-4, s. 225-233 9 s.

      Publikation: Bidrag til tidsskriftLetterfagfællebedømt

    12. Udgivet

      Data, Knowledge, and Computation

      Igel, Christian, 2021, I: KI - Kunstliche Intelligenz. 35, s. 247–249

      Publikation: Bidrag til tidsskriftLeder

    13. Udgivet

      Evolutionary kernel learning

      Igel, Christian, 2016, Encyclopedia of machine learning and data mining. Sammut, C. & Webb, G. I. (red.). Springer, 5 s.

      Publikation: Bidrag til bog/antologi/rapportEncyclopædiartikelForskningfagfællebedømt

    14. Neuroevolution for reinforcement learning using evolution strategies

      Igel, Christian, 2003, The 2003 Congress on Evolutionary Computation: CEC '03. IEEE, s. 2588-2595 8 s.

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    15. Recent results on No-Free-Lunch for optimization

      Igel, Christian, 2004, Theory of Evolutionary Algorithms. Beyer, H-G., Jansen, T., Reeves, C. & Vose, M. D. (red.). Schloss Dagstuhl - Leibniz-Zentrum für Informatik, s. 10 1 s. (Dagstuhl Seminar Proceedings, Bind 04081).

      Publikation: Bidrag til bog/antologi/rapportKonferenceabstrakt i proceedingsForskning

    16. Steady-state selection and efficient covariance matrix update in the multi-objective CMA-ES

      Igel, Christian, Suttorp, T. & Hansen, N., 2007, Evolutionary Multi-Criterion Optimization: 4th International Conference, EMO 2007, Matsushima, Japan, March 5-8, 2007. Proceedings. Obayashi, S., Deb, K., Poloni, C., Hiroyasu, T. & Murata, T. (red.). Springer, s. 171-185 15 s. (Lecture notes in computer science, Bind 4403).

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    17. Evolving field models for inhibition effects in early vision

      Igel, Christian, Seelen, W. V., Erlhagen, W. & Jancke, D., 2002, I: Neurocomputing. 44-46, s. 467-472 6 s.

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    18. Udgivet

      Editorial: project reports

      Igel, Christian, mar. 2017, I: KI - Künstliche Intelligenz. 31, 1, s. 1-1 1 s.

      Publikation: Bidrag til tidsskriftLeder

    19. Improving the Rprop learning algorithm

      Igel, Christian & Hüsken, M., 2000, Proceedings of the Second International Symposium on Neural Computation, NC’2000. ICSC Academic Press, s. 115-121 7 s.

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    20. Genesis of organic computing systems: coupling evolution and learning

      Igel, Christian & Sendhoff, B., 2008, Organic computing. s. 141-166 26 s. (Understanding Complex Systems).

      Publikation: Bidrag til bog/antologi/rapportBidrag til bog/antologiForskningfagfællebedømt

    21. A computational efficient covariance matrix update and a (1+1)-CMA for evolution strategies

      Igel, Christian, Suttorp, T. & Hansen, N., 2006, Proceedings of the 8th annual Conference on Genetic and Evolutionary Computation: GECCO '06. Association for Computing Machinery, s. 453-460 8 s.

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    22. Neutrality and self-adaptation

      Igel, Christian & Toussaint, M., 2003, I: Natural Computing. 2, 2, s. 117-132 16 s.

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    23. Udgivet

      Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients

      Jimenez-Solem, E., Petersen, T. S., Hansen, C., Hansen, C., Lioma, C., Igel, C., Boomsma, W., Krause, O., Lorenzen, S., Selvan, R., Petersen, J., Nyeland, M. E., Ankarfeldt, M. Z., Virenfeldt, G. M., Winther-Jensen, M., Linneberg, A., Ghazi, M. M., Detlefsen, N., Lauritzen, A. D., Smith, A. G. & 15 flere, de Bruijne, Marleen, Ibragimov, Bulat, Petersen, Jens, Lillholm, Martin, Middleton, Jon Anthony, Mogensen, S. H., Thorsen-Meyer, H., Perner, Anders, Helleberg, M., Kaas-Hansen, Benjamin Skov, Bonde, M., Bonde, A., Pai, A., Nielsen, Mads & Sillesen, Martin Hylleholt, 2021, I: Scientific Reports. 11, 1, 12 s., 3246.

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    24. Udgivet

      Machine learning for financial transaction classification across companies using character-level word embeddings of text fields

      Jørgensen, R. K. & Igel, Christian, 2021, I: Intelligent Systems in Accounting, Finance and Management. 28, 3, s. 159-172

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    25. Udgivet

      Are Multilingual Sentiment Models Equally Right for the Right Reasons?

      Jørgensen, R. K., Caccavale, F., Igel, Christian & Søgaard, Anders, 2022, Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP. Association for Computational Linguistics (ACL), s. 131–141

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    26. Udgivet

      MULTIFIN: A Dataset for Multilingual Financial NLP

      Jørgensen, R. K., Brandt, O., Hartmann, M., Dai, X., Igel, Christian & Elliott, Desmond, 2023, EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Findings of EACL 2023. Association for Computational Linguistics (ACL), s. 864-879

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    27. Udgivet

      Automated texture scoring for assessing breast cancer masking risk in full field digital mammography

      Kallenberg, M. G. J., Petersen, P. K., Lillholm, Martin, Jørgensen, D. R., Diao, P., Holland, K., Karssemeijer, N., Igel, Christian & Nielsen, Mads, 2015, I: Insights into Imaging. 6, 1, Supplement, 1 s., B-0212.

      Publikation: Bidrag til tidsskriftKonferenceabstrakt i tidsskriftfagfællebedømt

    28. Udgivet

      Assessing breast cancer masking risk in full field digital mammography with automated texture analysis

      Kallenberg, M. G. J., Lillholm, Martin, Diao, P., Holland, K., Karssemeijer, N., Igel, Christian & Nielsen, Mads, 2015, 7th International Workshop on Breast Densitometry and Cancer Risk Assessment (Non-CME). University of California, s. 109 1 s.

      Publikation: Bidrag til bog/antologi/rapportKonferenceabstrakt i proceedingsForskningfagfællebedømt

    29. Udgivet

      Assessing breast cancer masking risk with automated texture analysis in full field digital mammography

      Kallenberg, M. G. J., Lillholm, Martin, Diao, P., Petersen, K., Holland, K., Karssemeijer, N., Igel, Christian & Nielsen, Mads, 2015, Breast Imaging and Interventional. Radiological Society of North America, Inc, s. 218 1 s.

      Publikation: Bidrag til bog/antologi/rapportKonferenceabstrakt i proceedingsForskningfagfællebedømt

    30. Udgivet

      Unsupervised deep learning applied to breast density segmentation and mammographic risk scoring

      Kallenberg, M. G. J., Petersen, P. K., Nielsen, Mads, Ng, A. Y., Diao, P., Igel, Christian, Vachon, C. M., Holland, K., Winkel, R. R., Karssemeijer, N. & Lillholm, Martin, 2016, I: IEEE Transactions on Medical Imaging. 35, 5, s. 1322-1331 10 s.

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    31. Udgivet

      Learning density independent texture features

      Kallenberg, M. G. J., Nielsen, Mads, Holland, K., Karssemeijer, N., Igel, Christian & Lillholm, Martin, 2016, Breast Imaging: 13th International Workshop, IWDM 2016, Malmö, Sweden, June 19-22, 2016, Proceedings. Tingberg, A., Lång, K. & Timberg, P. (red.). Springer, s. 299-306 8 s. (Lecture notes in computer science, Bind 9699).

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    32. Udgivet

      Accurate segmentation of dental panoramic radiographs with u-NETS

      Koch, T. L., Perslev, M., Igel, Christian & Brandt, S. S., 2019, ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging. IEEE, s. 15-19

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    33. Udgivet

      Evolutionary kernel machines

      Kramer, O., Igel, Christian & Rudolph, G., 2012, I: Evolutionary Intelligence. 5, 3, s. 151-152 2 s.

      Publikation: Bidrag til tidsskriftLeder

    34. Udgivet

      Algorithms for estimating the partition function of restricted Boltzmann machines: (Extended Abstract)

      Krause, Oswin, Fischer, A. & Igel, Christian, 2020, Proceedings of the 29th International Joint Conference on Artificial Intelligence, IJCAI 2020. Bessiere, C. (red.). International Joint Conferences on Artificial Intelligence, s. 5045-5049 5 s. (IJCAI International Joint Conference on Artificial Intelligence, Bind 2021-January).

      Publikation: Bidrag til bog/antologi/rapportKonferenceabstrakt i proceedingsForskningfagfællebedømt

    35. Udgivet

      CMA-ES with optimal covariance update and storage complexity

      Krause, Oswin, Rodríguez Arbonès, D. & Igel, Christian, 2016, Advances in Neural Information Processing Systems 29 (NIPS 2016). Lee, D. D., Sugiyama, M., Luxburg, U. V., Guyon, I. & Garnett, R. (red.). Curran Associates, Inc., s. 370-378 9 s.

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    36. Udgivet

      A more efficient rank-one covariance matrix update for evolution strategies

      Krause, Oswin & Igel, Christian, 2015, Proceedings of the 2015 ACM Conference on Foundations of Genetic Algorithms XIII. Association for Computing Machinery, s. 129-136 8 s.

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    37. Udgivet

      Approximation properties of DBNs with binary hidden units and real-valued visible units

      Krause, Oswin, Fischer, A., Glasmachers, T. & Igel, Christian, 2013, Proceedings of the 30th International Conference on Machine Learning. Dasgupta, S. & McAllester, D. (red.). s. 419-426 8 s. (JMLR: Workshop and Conference Proceedings, Bind 28).

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    38. Udgivet

      Multi-objective optimization with unbounded solution sets

      Krause, Oswin, Glasmachers, T. & Igel, Christian, 2016. 6 s.

      Publikation: KonferencebidragPaperForskningfagfællebedømt

    39. Udgivet

      Population Monte Carlo meets contrastive divergence learning

      Krause, Oswin, Fischer, A. & Igel, Christian, 2015, Machine learning reports: Workshop New Challenges in Neural Computation 2015. Hammer, B., Martinetz, M. & Villmann, T. (red.). s. 93-94 2 s.

      Publikation: Bidrag til bog/antologi/rapportBidrag til rapportForskningfagfællebedømt

    40. Udgivet

      Unbounded population MO-CMA-ES for the bi-objective BBOB test suite

      Krause, Oswin, Glasmachers, T., Hansen, N. & Igel, Christian, 2016, Proceedings of the 2016 Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, s. 1177-1184 8 s.

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    41. Udgivet

      Qualitative and quantitative assessment of step size adaptation rules

      Krause, Oswin, Glasmachers, T. & Igel, Christian, 2017, Proceedings of the 14th ACM/SIGEVO Conference on Foundations of Genetic Algorithms. Association for Computing Machinery, s. 139-148 10 s.

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    42. Udgivet

      Population-Contrastive-Divergence: Does consistency help with RBM training?

      Krause, Oswin, Fischer, A. & Igel, Christian, 2018, I: Pattern Recognition Letters. 102, s. 1-7

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    43. Udgivet

      Algorithms for estimating the partition function of restricted Boltzmann machines

      Krause, Oswin, Fischer, A. & Igel, Christian, jan. 2020, I: Artificial Intelligence. 278, 19 s., 103195.

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    44. Udgivet

      Robust Active Label Correction

      Kremer, J., Sha, F. & Igel, Christian, 2018, Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics. PMLR, Bind 84. s. 308-316 9 s. (Proceedings of Machine Learning Research). (Proceedings of Machine Learning Research, Bind 84).

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    45. Udgivet

      Support vector machines for active learning

      Kremer, J., Steenstrup Pedersen, Kim & Igel, Christian, 2014, Second European Conference on Data Analysis: program & abstracts . s. 38 1 s.

      Publikation: Bidrag til bog/antologi/rapportKonferenceabstrakt i proceedingsForskning

    46. Udgivet

      Nearest neighbor density ratio estimation for large-scale applications in astronomy

      Kremer, J., Gieseke, Fabian Cristian, Steenstrup Pedersen, Kim & Igel, Christian, 2015, I: Astronomy and Computing. 12, s. 67-72 6 s.

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    47. Udgivet

      Active learning with support vector machines

      Kremer, J., Steenstrup Pedersen, Kim & Igel, Christian, 2014, I: Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. 4, 4, s. 313-326 14 s.

      Publikation: Bidrag til tidsskriftReviewfagfællebedømt

    48. Udgivet

      Big universe, big data: machine learning and image analysis for astronomy

      Kremer, J., Stensbo-Smidt, K., Gieseke, Fabian Cristian, Steenstrup Pedersen, Kim & Igel, Christian, 2017, I: IEEE Intelligent Systems. 32, 2, s. 16-22 7 s.

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    49. Udgivet

      Multimodal Variational Autoencoders for Semi-Supervised Learning: In Defense of Product-of-Experts

      Kutuzova, S., Krause, Oswin, McCloskey, D., Nielsen, Mads & Igel, Christian, jan. 2022, arXiv.org, 29 s.

      Publikation: Working paperPreprintForskning

    50. Udgivet

      Bi-modal Variational Autoencoders for Metabolite Identification Using Tandem Mass Spectrometry

      Kutuzova, S., Igel, Christian, Nielsen, Mads & McCloskey, D., 2021, bioRxiv, 22 s.

      Publikation: Working paperPreprintForskning

    51. Proceedings of the 7th International Conference on Hybrid Intelligent Systems (HIS 2007)

      König, A. (red.), Köppen, M. (red.), Abraham, A. (red.), Igel, Christian (red.) & Kasabov, N. (red.), 2007, IEEE.

      Publikation: Bog/antologi/afhandling/rapportBogfagfællebedømt

    52. Udgivet

      Deep learning enables image-based tree counting, crown segmentation and height prediction at national scale

      Li, Sizhuo, Brandt, Martin Stefan, Fensholt, Rasmus, Kariryaa, Ankit, Igel, Christian, Gieseke, Fabian Cristian, Nord-Larsen, Thomas, Oehmcke, Stefan, Carlsen, Ask Holm, Junttila, S., Tong, Xiaoye, d’Aspremont, A. & Ciais, P., 2023, I: PNAS Nexus. 2, 4, 16 s., pgad076.

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    53. Protonenresonanzspektroskopie des Gehirns mit kurzer Echozeit: Unterstützung der Gewebeklassifizierung durch künstliche neuronale Netzwerke

      Liebenrodt, K., Busch, M., Mateiescu, S., Igel, Christian, Winter, S. & Grönemeyer, D., 2007, I: Biomedizinische Technik. 52, Supplement, 2 s.

      Publikation: Bidrag til tidsskriftKonferenceartikelfagfællebedømt

    54. Udgivet

      The overlooked contribution of trees outside forests to tree cover and woody biomass across Europe

      Liu, Siyu, Brandt, Martin Stefan, Nord-Larsen, Thomas, Chave, J., Reiner, Florian, Lang, Nico, Tong, Xiaoye, Ciais, P., Igel, Christian, Pascual, A., Guerra-hernandez, J., Li, Sizhuo, Mugabowindekwe, Maurice, Saatchi, S., Yue, Y., Chen, Z. & Fensholt, Rasmus, 2023, I: Science Advances. 9, 37, 15 s., eadh4097.

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    55. Udgivet

      Artificial intelligence surpasses gastrointestinal experts in the classification of endoscopic severity among Ulcerative Colitis

      The Presager Project, T. P. P., 2021, I: Journal of Crohn's & colitis. 15, Suppl. 1, s. S007-S007

      Publikation: Bidrag til tidsskriftKonferenceabstrakt i tidsskrift

    56. Udgivet

      High accuracy in classifying endoscopic severity in ulcerative colitis using convolutional neural network

      Lo, B., Liu, Z., Bendtsen, Flemming, Igel, Christian, Vind, Ida & Burisch, J., 2022, I: The American Journal of Gastroenterology. 117, 10, s. 1648-1654

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    57. Udgivet

      On PAC-Bayesian bounds for random forests

      Lorenzen, S. S., Igel, Christian & Seldin, Yevgeny, 2019, I: Machine Learning. 108, 8-9, s. 1503-1522

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    58. Udgivet

      Using machine learning for predicting intensive care unit resource use during the COVID-19 pandemic in Denmark

      Lorenzen, S. S., Nielsen, Mads, Jimenez-Solem, E., Petersen, Tonny Studsgaard, Perner, Anders, Thorsen-Meyer, H., Igel, Christian & Sillesen, Martin Hylleholt, 23 sep. 2021, I: Scientific Reports. 11, 1, 10 s., 18959.

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    59. Udgivet

      Information Bottleneck: Exact Analysis of (Quantized) Neural Networks

      Lorenzen, S. S., Igel, Christian & Nielsen, Mads, 2022, arXiv.org, 19 s.

      Publikation: Working paperPreprintForskning

    60. Udgivet

      Computational complexity of linear large margin classification with ramp loss

      Maibing, S. F. & Igel, Christian, 2015, Proceedings of the 18th International Conference on Artificial Intelligence and Statistics (AISTATS) 2015. Lebanon, G. & Vishwanathan, S. V. N. (red.). s. 259-267 9 s. (JMLR: Workshop and Conference Proceedings, Bind 38).

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    61. A dynamic neural field model of mesoscopic cortical activity captured with voltage-sensitive dye imaging

      Markounikau, V., Igel, Christian, Grinvald, A. & Jancke, D., 2010, I: P L o S Computational Biology. 6, 9, 14 s., e1000919.

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    62. A mesoscopic model of VSD dynamics observed in visual cortex induced by flashed and moving stimuli

      Markounikau, V., Igel, Christian & Jancke, D., 2009, I: Frontiers in Computational Neuroscience.

      Publikation: Bidrag til tidsskriftKonferenceabstrakt i tidsskriftfagfællebedømt

    63. Udgivet

      Linear feature selection in texture analysis - A PLS based method

      Marques, J., Igel, Christian, Lillholm, Martin & Dam, E., 2013, I: Machine Vision & Applications. 24, 7, s. 1435-1444 10 s.

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    64. Udgivet

      Second Order PAC-Bayesian Bounds for the Weighted Majority Vote

      Masegosa, A. R., Lorenzen, S. S., Igel, Christian & Seldin, Yevgeny, 2020, Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual. NeurIPS Proceedings, (Advances in Neural Information Processing Systems, Bind 33).

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    65. Cross-reactive metal ion sensor array in a micro titer plate format

      Mayr, T., Igel, Christian, Liebsch, G., Klimant, I. & Wolfbeis, O. S., 2003, I: Analytical Chemistry. 75, 17, s. 4389-4396 8 s.

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    66. Evolutionary optimization of sequence kernels for detection of bacterial gene starts

      Mersch, B., Glasmachers, T., Meinicke, P. & Igel, Christian, 2007, I: International Journal of Neural Systems. 17, 5, s. 369-381 13 s.

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    67. Evolutionary optimization of sequence kernels for detection of bacterial gene starts

      Mersch, B., Glasmachers, T., Meinicke, P. & Igel, Christian, 2006, Artificial Neural Networks – ICANN 2006: 16th International Conference, Athens, Greece, September 10-14, 2006. Proceedings, Part II. Kollias, S., Stafylopatis, A., Duch, W. & Oja, E. (red.). Springer, s. 827-836 10 s. (Lecture notes in computer science, Bind 4132).

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    68. Modelling cortical activity underlying apparent and real motion perception

      Meyer, J., Jancke, D. & Igel, Christian, 2007, Neuro-Visionen 4 - Perspektiven in Nordrhein-Westfalen: Symposium der Nordrhein-Westfälischen Akademie der Wissenschaften 2006. Hossman, K-A. (red.). Verlag Ferdinand Schöningh, s. 257-258 2 s.

      Publikation: Bidrag til bog/antologi/rapportKonferenceabstrakt i proceedingsForskning

    69. Modelling dynamic activity patterns in early visual cortex based on voltage sensitive dye experiments

      Meyer, J., Igel, Christian & Jancke, D., 2006, Neuro-Visionen 3. Perspektiven in Nordrhein-Westfalen: Symposium der Nordrhein-westfälischen Akademie der Wissenschaften 2005. Hossmann, K-A. (red.). Verlag Ferdinand Schöningh, s. 193-195 3 s.

      Publikation: Bidrag til bog/antologi/rapportKonferenceabstrakt i proceedingsForskning

    70. Udgivet

      Self-Supervised Speech Representation Learning: A Review

      Mohamed, A., Lee, H. Y., Borgholt, L., Havtorn, J. D., Edin, J., Igel, Christian, Kirchhoff, K., Li, S. W., Livescu, K., Maaloe, L., Sainath, T. N. & Watanabe, S., 2022, I: IEEE Journal on Selected Topics in Signal Processing. 16, 6, s. 1179-1210

      Publikation: Bidrag til tidsskriftReviewfagfællebedømt

    71. Udgivet

      Trees on smallholder farms and forest restoration are critical for Rwanda to achieve net zero emissions

      Mugabowindekwe, M., Brandt, M. S., Mukuralinda, A., Ciais, P., Reiner, F., Kariryaa, A., Igel, C., Chave, J., Mertz, O., Hiernaux, P., Tong, X., Rwanyiziri, G., Gominski, D. P. J., Li, S., Liu, S., Gasangwa, I., Hategekimana, Y., Ndoli, A., Nduwamungu, J., Saatchi, S. & 1 flere, Fensholt, Rasmus, 2024, I: Communications Earth & Environment. 5, 1, 10 s., 113.

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    72. Udgivet

      Nation-wide mapping of tree-level aboveground carbon stocks in Rwanda

      Mugabowindekwe, M., Brandt, M., Chave, J., Reiner, F., Skole, D. L., Kariryaa, A., Igel, C., Hiernaux, P., Ciais, P., Mertz, O., Tong, X., Li, S., Rwanyiziri, G., Dushimiyimana, T., Ndoli, A., Uwizeyimana, V., Lillesø, J-P. B., Gieseke, F., Tucker, C. J., Saatchi, S. & 1 flere, Fensholt, Rasmus, 2023, I: Nature climate change. 13, s. 91-97

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    73. E-pub ahead of print

      Building an AI Support Tool for Real-Time Ulcerative Colitis Diagnosis

      Møller, Bjørn Leth, Lo, B. Z. S., Burisch, J., Bendtsen, Flemming, Vind, Ida, Ibragimov, Bulat & Igel, Christian, 2024, (E-pub ahead of print) I: KI - Künstliche Intelligenz. 8 s.

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    74. Reducing the number of fitness evaluations in graph genetic programming using a canonical graph indexed database

      Niehaus, J., Igel, Christian & Banzhaf, W., 2007, I: Evolutionary Computation. 15, 2, s. 199-221 23 s.

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    75. Udgivet

      Hippocampal texture predicts ad conversion in amyloid positive mild cognitively impaired subjects

      Nielsen, Mads, Igel, Christian & Sørensen, L., 2015, I: Neurodegenerative Diseases. 15, Suppl. 1, s. 262 1 s., ADPD5-0947.

      Publikation: Bidrag til tidsskriftKonferenceabstrakt i tidsskrift

    76. Udgivet

      Hippocampus MRI T1 texture's relation to established Alzheimer's disease biomarkers and prediction of progression

      Nielsen, Mads, Sørensen, L., Pai, A. S. U., Igel, Christian & Lillholm, Martin, 2015. 1 s.

      Publikation: KonferencebidragKonferenceabstrakt til konferenceForskningfagfællebedømt

    77. Udgivet

      Deep point cloud regression for above-ground forest biomass estimation from airborne LiDAR

      Oehmcke, Stefan, Li, Lei, Trepekli, Aikaterini, Revenga, J. C., Nord-Larsen, Thomas, Gieseke, Fabian Cristian & Igel, Christian, 2024, I: Remote Sensing of Environment. 302, 21 s., 113968.

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    78. Udgivet

      Deep learning based 3D point cloud regression for estimating forest biomass

      Oehmcke, Stefan, Li, Lei, Revenga, J. C., Nord-Larsen, Thomas, Trepekli, Aikaterini, Gieseke, F. & Igel, Christian, 1 nov. 2022, 30th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2022. Renz, M., Sarwat, M., Nascimento, M. A., Shekhar, S. & Xie, X. (red.). Association for Computing Machinery, Inc., s. 1-4 38

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    79. Udgivet

      PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation

      Orbes-Arteaga, M., Sørensen, L., Cardoso , J., Modat , M., Ourselin, S., Sommer, Stefan Horst, Nielsen, Mads, Igel, Christian & Pai, A. S. U., 2019, Proceedings, SPIE 10949, Medical Imaging 2019: Image Processing . SPIE - International Society for Optical Engineering, 6 s.

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    80. Udgivet

      Knowledge Distillation for Semi-supervised Domain Adaptation

      Orbes-Arteaga, M., Cardoso, J., Sørensen, L., Igel, Christian, Ourselin, S., Modat, M., Nielsen, Mads & Pai, A., 1 jan. 2019, OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging - 2nd International Workshop, OR 2.0 2019, and 2nd International Workshop, MLCN 2019, Held in Conjunction with MICCAI 2019, Proceedings. Zhou, L., Sarikaya, D., Kia, S. M., Speidel, S., Malpani, A., Hashimoto, D., Habes, M., Löfstedt, T., Ritter, K. & Wang, H. (red.). Springer VS, s. 68-76 9 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 11796 LNCS).

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    81. Udgivet

      Characterization of errors in deep learning-based brain MRI segmentation

      Pai, A. S. U., Teng, Y., Blair, J. P. M., Kallenberg, M. G. J., Dam, Erik Bjørnager, Sommer, Stefan Horst, Igel, Christian & Nielsen, Mads, 2017, Deep learning for medical image analysis. Zhou, S. K., Greenspan, H. & Shen, D. (red.). Academic Press, s. 223–242 20 s.

      Publikation: Bidrag til bog/antologi/rapportBidrag til bog/antologiForskningfagfællebedømt

    82. Udgivet

      Shape index descriptors applied to texture-based galaxy analysis

      Steenstrup Pedersen, Kim, Stensbo-Smidt, K., Zirm, A. W. & Igel, Christian, 2013, 2013 IEEE International Conference on Computer Vision (ICCV). IEEE, s. 2440-2447 8 s.

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    83. Making driver modeling attractive

      Pellecchia, A., Igel, Christian, Edelbrunner, J. & Schöner, G., 2005, I: I E E E Intelligent Systems. 20, 2, s. 8-12 5 s.

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    84. Udgivet

      Automatic detection of abnormal sleeping patterns in stroke patients using high-frequency sleep staging

      Perslev, M., West, A. S., Simonsen, S. A., Ponsaing, L. B., Iversen, Helle Klingenberg, Igel, Christian & Jennum, Poul, 2022, I: Journal of Sleep Research. 31, S1, 1 s.

      Publikation: Bidrag til tidsskriftKonferenceabstrakt i tidsskrift

    85. Udgivet

      One Network to Segment Them All: A General, Lightweight System for Accurate 3D Medical Image Segmentation

      Perslev, M., Dam, Erik Bjørnager, Pai, A. & Igel, Christian, 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (red.). Springer VS, s. 30-38 9 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 11765 LNCS).

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    86. Udgivet

      Knee Segmentation by Multiplanar Deep Learning Network – with data from OAI

      Perslev, M., Pai, A. S. U., Igel, Christian & Dam, Erik Bjørnager, 2018. 1 s.

      Publikation: KonferencebidragKonferenceabstrakt til konferenceForskningfagfællebedømt

    87. Udgivet

      U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging

      Perslev, M., Hejselbak Jensen, M., Darkner, Sune, Jørgen Jennum, P. & Igel, Christian, 1 okt. 2019, Advances in Neural Information Processing Systems 32 (NIPS 2019). NIPS Proceedings, Bind 32. s. 4415-4426

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    88. Udgivet

      U-Sleep: resilient high-frequency sleep staging

      Perslev, M., Darkner, Sune, Kempfner, L., Nikolic, M., Jennum, Poul & Igel, Christian, 15 apr. 2021, I: npj Digital Medicine. 4, 1, 12 s., 72.

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    89. Udgivet

      Cross‐Cohort Automatic Knee MRI Segmentation With Multi‐Planar U‐Nets

      Perslev, M., Pai, A., Runhaar, J., Igel, Christian & Dam, Erik Bjørnager, 2022, I: Journal of Magnetic Resonance Imaging. 55, 2, s. 1650-1663

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    90. Udgivet

      Date Recognition in Historical Parish Records

      Cabello Piqueras, Laura, Fierro Mella, Constanza Catalina, Lotz, Jonas Færch, Rust, Phillip, Rommedahl, J., Due, J. K., Igel, Christian, Elliott, Desmond, Pedersen, C. B., Salazar, I. & Søgaard, Anders, 2022, Frontiers in Handwriting Recognition : 18th International Conference, ICFHR 2022, Hyderabad, India, December 4–7, 2022, Proceedings. Porwal, U., Fornés, A. & Shafait, F. (red.). Springer, s. 49-64 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 13639 LNCS).

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    91. Udgivet

      Parallelized rotation and flipping INvariant Kohonen maps (PINK) on GPUs

      Polsterer, K. L., Gieseke, Fabian Cristian, Igel, Christian, Doser, B. & Gianniotis, N., 2016, Proceedings of the 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2016). i6doc.com, s. 405-410 6 s.

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    92. Udgivet

      Automatic galaxy classification via machine learning techniques: Parallelized rotation/flipping INvariant Kohonen maps (PINK)

      Polsterer, K. L., Gieseke, Fabian Cristian & Igel, Christian, 2015, Astronomical Data Analysis Software and Systems: Proceedings of a meeting held at Calgary, Alberta, Canada 5-9 October 2014. Taylor, A. R. & Rosolowsky, E. (red.). Astronomical Society of the Pacific, Bind 24. s. 81-86 6 s. (ASP Conference Series, Bind 495).

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    93. Udgivet

      Improving the performance of photometric regression models via massive parallel feature selection

      Polsterer, K. L., Gieseke, Fabian Cristian, Igel, Christian & Goto, T., 2014, Astronomical Data Analysis Software and Systems XXIII. Manset, N. & Forshay, P. (red.). Astronomical Society of the Pacific, Bind 485. s. 425-428 4 s. (Astronomical Society of the Pacific. Conference Proceedings, Bind 485).

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    94. Udgivet

      Deep feature learning for knee cartilage segmentation using a triplanar convolutional neural network

      Prasoon, A., Petersen, P. K., Igel, Christian, Lauze, Francois Bernard, Dam, Erik Bjørnager & Nielsen, Mads, 2013, Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013: 16th International Conference, Nagoya, Japan, September 22-26, 2013, Proceedings, Part II. Mori, K., Sakuma, I., Sato, Y., Barillot, C. & Navab, N. (red.). Springer, s. 246-253 8 s. (Lecture notes in computer science, Bind 8150).

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    95. Udgivet

      Cascaded classifier for large-scale data applied to automatic segmentation of articular cartilage

      Prasoon, A., Igel, Christian, Loog, M., Lauze, Francois Bernard, Dam, E. & Nielsen, Mads, 2012, Medical Imaging 2012: Image Processing. Haynor, D. R. & Ourselin, S. (red.). SPIE - International Society for Optical Engineering, Bind 8314. 9 s. 83144V. (SPIE Proceedings, Bind 8314).

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    96. Udgivet

      Femoral cartilage segmentation in knee MRI scans using two stage voxel classification

      Prasoon, A., Igel, Christian, Loog, M., Lauze, Francois Bernard, Dam, E. & Nielsen, Mads, 2013, 35th Annual International Conference of the IEEE; Engineering in Medicine and Biology Society (EMBC), 2013. IEEE, s. 5469-5472 4 s.

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    97. Udgivet

      Separating timing, movement conditions and individual differences in the analysis of human movement

      Raket, L. L., Grimme, B., Schöner, G., Igel, Christian & Markussen, Bo, 2016, I: PLoS Computational Biology. 12, 9, s. e1005092 27 s.

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    98. Udgivet

      More than one quarter of Africa's tree cover is found outside areas previously classified as forest

      Reiner, F., Brandt, M., Tong, X., Skole, D., Kariryaa, A., Ciais, P., Davies, A., Hiernaux, P., Chave, J., Mugabowindekwe, M., Igel, C., Oehmcke, S., Gieseke, F., Li, S., Liu, S., Saatchi, S., Boucher, P., Singh, J., Taugourdeau, S., Dendoncker, M. & 4 flere, Song, X., Mertz, Ole, Tucker, C. J. & Fensholt, Rasmus, 2023, I: Nature Communications. 14, 10 s., 2258.

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    99. Udgivet

      Above-Ground Biomass Prediction for Croplands at a Sub-Meter Resolution Using UAV–LiDAR and Machine Learning Methods

      Revenga, J. C., Trepekli, Aikaterini, Oehmcke, Stefan, Jensen, Rasmus, Li, Lei, Igel, Christian, Gieseke, Fabian Cristian & Friborg, Thomas, 2022, I: Remote Sensing. 14, 16, 22 s., 3912.

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    100. Udgivet

      Automatic FDG-PET-based tumor and metastatic lymph node segmentation in cervical cancer

      Rodríguez Arbonès, D., Jensen, H. G., Loft, A., af Rosenschöld, P. M., Hansen, A. E., Igel, Christian & Darkner, Sune, 2014, Medical Imaging 2014: Image Processing. Ourselin, S. & Styner, M. A. (red.). SPIE - International Society for Optical Engineering, 8 s. 903441. (Progress in Biomedical Optics and Imaging; Nr. 35, Bind 15).

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

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