Christian Igel

Christian Igel

Professor

Medlem af:

    ORCID: 0000-0003-2868-0856

    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


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    1. Udgivet

      High-school dropout prediction using machine learning: a Danish large-scale study

      Şara, N., Halland, R., Igel, Christian & Alstrup, Stephen, 2015, Proceedings. ESANN 2015: 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen, M. (red.). i6doc.com, s. 319-324 6 s.

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    2. Udgivet

      LR-CSNet: Low-Rank Deep Unfolding Network for Image Compressive Sensing

      Zhang, T., Li, Lei, Igel, Christian, Oehmcke, Stefan, Gieseke, F. & Peng, Z., 2023, IEEE International Conference on Computer and Communications (ICCC). IEEE, 7 s.

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    3. Editorial: special issue on organic computing

      Würtz, R. P., Bellman, K. L., Schmeck, H. & Igel, Christian, 2010, I: A C M Transactions on Autonomous and Adaptive Systems. 5, 3, s. 1-3 3 s.

      Publikation: Bidrag til tidsskrift › Leder

    4. Udgivet

      Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote

      Wu, Yi-Shan, Masegosa, A. R., Lorenzen, S. S., Igel, Christian & Seldin, Yevgeny, 2021, Advances in Neural Information Processing Systems 34 (NeurIPS). NeurIPS Proceedings, s. 1-12

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    5. Registration of bone structures in 3D ultrasound and CT data: comparison of different optimization strategies

      Winter, S., Brendel, B. & Igel, Christian, 2005, I: International Congress Series. 1281, s. 242-247 6 s.

      Publikation: Bidrag til tidsskrift › Konferenceartikel › fagfællebedømt

    6. Registrierung von Knochen in 3D-Ultraschall-und CT-Daten: Vergleich verschiedener Optimierungsverfahren

      Winter, S., Brendel, B. & Igel, Christian, 2005, Bildverarbeitung für die Medizin 2005: Algorithmen — Systeme — Anwendungen Proceedings des Workshops vom 13. – 15. März 2005 in Heidelberg. Meinzer, H-P., Handels, H., Horsch, A. & Holxdorff, T. (red.). s. 345-349 5 s.

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    7. Toward registration of 3D ultrasound and CT images of the spine in clinical praxis: design and evaluation of a data acquisition protocol

      Winter, S., Pechlivanis, I., Dekomien, C., Igel, Christian & Schmieder, K., 2009, I: Ultrasound in Medicine & Biology. 35, 11, s. 1773-1782 10 s.

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt

    8. Registration of CT and intraoperative 3-D ultrasound images of the spine using evolutionary and gradient-based methods

      Winter, S., Brendel, B., Pechlivanis, I., Schmieder, K. & Igel, Christian, 2008, I: IEEE Transactions on Evolutionary Computation. 12, 3, s. 284-296 13 s.

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt

    9. Evolutionary optimization of neural networks for face detection

      Wiegand, S., Igel, Christian & Handmann, U., 2004, ESANN 2004: 12th European Symposium on Artificial Neural Networks. D-side Publications, s. 139-144 6 s.

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    10. Evolutionary multi-objective optimization of neural networks for face detection

      Wiegand, S., Igel, Christian & Handmann, U., 2004, I: International Journal of Computational Intelligence and Applications. 4, 3, s. 237-253 17 s.

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt

    11. Protein fold class prediction using neural networks with tailored early-stopping

      Wiebringhaus, T., Igel, Christian & Gebert, J., 2004, Proceedings of the 2004 IEEE International Joint Conference on Neural Networks. IEEE, s. 1693-1697 5 s.

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    12. Protein fold class prediction using neural networks reconsidered

      Wiebringhaus, T., Faigle, U., Schomburg, D., Gebert, J. & Igel, Christian, 2003, Currents in Computational Molecular Biology, The Seventh Annual International Conference on Research in Computational Molecular Biology (RECOMB 2003). s. 225-226 2 s.

      Publikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings › Forskning › fagfællebedømt

    13. Recombination for learning strategy parameters in the MO-CMA-ES

      Voß, T., Hansen, N. & Igel, Christian, 2009, Evolutionary Multi-Criterion Optimization: 5th International Conference, EMO 2009, Nantes, France, April 7-10, 2009. Proceedings. Ehrgott, M., Fonseca, C. M., Gandibleux, X., Hao, J-K. & Sevaux, M. (red.). Springer, s. 155-168 14 s. (Lecture notes in computer science, Bind 5467).

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    14. Scalarization versus indicator-based selection in multi-objective CMA evolution strategies

      Voß, T., Beume, N., Rudolph, G. & Igel, Christian, 2008, IEEE Congress on Evolutionary Computation, 2008 CEC 2008.. IEEE, s. 3036-3043 8 s.

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    15. New uncertainty handling strategies in multi-objective evolutionary optimization

      Voß, T., Trautmann, H. & Igel, Christian, 2010, Parallel Problem Solving from Nature, PPSN XI: 11th International Conference, Kraków, Poland, September 11-15, 2010. Proceedings, Part II. Schaefer, R., Cotta, C., Kołodziej, J. & Rudolph, G. (red.). Springer, s. 260-269 10 s. (Lecture notes in computer science, Bind 6239).

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    16. Scaling up indicator-based MOEAs by approximating the least hypervolume contributor: a preliminary study

      Voß, T., Friedrich, T., Bringmann, K. & Igel, Christian, 2010, Proceedings of the 12th annual conference on Genetic and Evolutionary Computation: GECCO '10. Association for Computing Machinery, s. 1975-1978 4 s.

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    17. Improved step size adaptation for the MO-CMA-ES

      Voß, T., Hansen, N. & Igel, Christian, 2010, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2010). Association for Computing Machinery, s. 487-494 8 s.

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    18. Udgivet

      Investigation of kernel-based machine learning techniques for infrasound signal classification

      Tuma, M. & Igel, Christian, 2013. 1 s.

      Publikation: Konferencebidrag › Poster › Forskning

    19. Udgivet

      Hydroacoustic signal classification using support vector machines

      Tuma, M., Igel, Christian & Prior, M., 2012, Signal and image processing for remote sensing: Second Edition. Chen, C. H. (red.). 2 udg. CRC Press, s. 37-56 20 s.

      Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi › Forskning › fagfællebedømt

    20. Kernel-based machine learning techniques for hydroacoustic signal classification

      Tuma, M. & Igel, Christian, 2009, International Scientific Studies Conference (ISS09): book of abstracts. s. 25 1 s. DM-06/A

      Publikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings › Forskning

    21. Udgivet

      Joint optimization of a signal processing chain for hydroacoustic signal classification

      Tuma, M., Igel, Christian & Prior, M., 2013. 1 s.

      Publikation: Konferencebidrag › Poster › Forskning

    22. Udgivet

      Kernel-based machine learning techniques for infrasound signal classification

      Tuma, M., Igel, Christian & Mialle, P., 2014, I: Geophysical Research Abstracts. 16, 11th European Geosciences Union General Assembly, 1 s., EGU2014-7720.

      Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › fagfællebedømt

    23. Udgivet

      Integrated optimization of long-range underwater signal detection, feature extraction, and classification for nuclear treaty monitoring

      Tuma, M., Rørbech, V., Prior, M. K. & Igel, Christian, 2016, I: IEEE Transactions on Geoscience and Remote Sensing. 54, 6, s. 3649-3659 11 s.

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt

    24. Udgivet

      Improved working set selection for LaRank

      Tuma, M. & Igel, Christian, 2011, Computer Analysis of Images and Patterns: 14th International Conference, CAIP 2011 Seville, Spain, August 29-31, 2011 Proceedings, Part I. Real, P., Diaz-Pernil, D., Molina-Abril, H., Berciano, A. & Kropatsch, W. (red.). Springer, s. 327-334 8 s. (Lecture notes in computer science, Bind 6854).

      Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi › Forskning › fagfællebedømt

    25. Hydroacoustic signal classification using kernel functions for variable feature sets

      Tuma, M., Igel, Christian & Prior, M., 2010, Proceedings of the 2010 20th International Conference on Pattern Recognition: ICPR. IEEE Computer Society Press, s. 1011-1014 4 s.

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    26. Automatic classification of hydroacoustic signals to support verification of the Comprehensive Nuclear-Test-Ban Treaty

      Tuma, M. & Igel, Christian, 2010, Second Joint Statistical Meeting Deutsche Arbeitsgemeinschaft Statistik "Statistics Under One Umbrella" (DAGStat 2010). s. 361 1 s.

      Publikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings › Forskning › fagfællebedømt

    27. Udgivet

      Sub-continental-scale carbon stocks of individual trees in African drylands

      Tucker, C., Brandt, Martin Stefan, Hiernaux, P., Kariryaa, Ankit, Rasmussen, Kjeld, Small, J., Igel, Christian, Reiner, Florian, Melocik, K., Meyer, J., Sinno, S., Romero, E., Glennie, E., Fitts, Y., Morin, A., Pinzon, J., McClain, D., Morin, P., Porter, C., Loeffler, S., Kergoat, L., Issoufou, B., Savadogo, P., Wigneron, J., Poulter, B., Ciais, P., Kaufmann, R., Myneni, R., Saatchi, S. & Fensholt, Rasmus, 2023, I: Nature. 615, 7950, s. 80-86

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt

    28. Neutrality: a necessity for self-adaptation

      Toussaint, M. & Igel, Christian, 2002, Proceedings of the 2002 Congress on Evolutionary Computation: CEC '02. IEEE, s. 1354-1359 6 s.

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    29. Ontogenetic and phylogenetic reinforcement learning

      Togelius, J., Schaul, T., Wierstra, D., Igel, Christian, Gomez, F. & Schmidhuber, J., 2009, I: KI - Künstliche Intelligenz. 09, 3, s. 30-33 4 s.

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt

    30. Udgivet

      A strongly quasiconvex PAC-Bayesian bound

      Thiemann, N., Igel, Christian, Wintenberger, O. & Seldin, Yevgeny, 2017, Proceedings of International Conference on Algorithmic Learning Theory, 15-17 October 2017, Kyoto University, Kyoto, Japan . Hanneke, S. & Reyzin, L. (red.). Proceedings of Machine Learning Research, s. 466-492 (Proceedings of Machine Learning Research, Bind 76).

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    31. Udgivet

      Validation of hippocampal texture for early Alzheimer’s disease detection: generalization to independent cohorts and extrapolation to very early signs of dementia

      Sørensen, L., Igel, Christian, Hansen, N. L., Lauritzen, Martin, Osler, Merete, Rostrup, Egill & Nielsen, Mads, 2014, I: Alzheimer's & Dementia. 10, 4, Supplement, s. P133 1 s.

      Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › fagfællebedømt

    32. Udgivet

      Hippocampal texture provides volume independent information for Alzheimer's diagnosis

      Sørensen, L., Pai, A. S. U., Darkner, Sune, Suhy, J., Oh, J., Chen, G., Igel, Christian & Nielsen, Mads, 2012, I: Alzheimer's & Dementia. 8, 4, Supplement, s. 15 1 s., IC-P-013.

      Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › fagfællebedømt

    33. Udgivet

      Hippocampal texture predicts conversion from MCI to Alzheimer's disease

      Sørensen, L., Igel, Christian & Nielsen, Mads, 2013, I: Alzheimer's & Dementia. 9, 4, Supplement, s. P52 1 s.

      Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › fagfællebedømt

    34. Udgivet

      Differential diagnosis of mild cognitive impairment and Alzheimer’s disease using structural MRI cortical thickness, hippocampal shape, hippocampal texture, and volumetry

      Sørensen, L., Igel, Christian, Pai, A. S. U., Balas, I., Anker, C., Lillholm, Martin & Nielsen, Mads, 2017, I: NeuroImage: Clinical. 13, s. 470-482 13 s.

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt

    35. Udgivet

      Improved Alzheimer's disease diagnostic performance using structural MRI: validation of the MRI combination biomarker that won the CADDementia challenge

      Sørensen, L., Lillholm, Martin, Pai, A. S. U., Balas, I., Anker, C., Igel, Christian & Nielsen, Mads, 2015, I: Insights into Imaging. 6, Supplement 1, 1 s., B-0077.

      Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift

    36. Udgivet

      Hippocampal texture predicts one-year hippocampal atrophy in mild cognitively impaired subjects

      Sørensen, L., Pai, A. S. U., Mysling, P., Darkner, Sune, Chen, G., Oh, J., Suhy, J., Igel, Christian & Nielsen, Mads, 2013. 1 s.

      Publikation: Konferencebidrag › Poster › Forskning › fagfællebedømt

    37. Udgivet

      MCI trial enrichment using MRI hippocampus texture

      Sørensen, L., Igel, Christian & Nielsen, Mads, 2016, I: Alzheimer's & Dementia. 12, 7, Supplement, s. P108–P109 2 s., IC-P-146.

      Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › fagfællebedømt

    38. Udgivet

      Early detection of Alzheimer's disease using MRI hippocampal texture

      Sørensen, L., Igel, Christian, Hansen, N. L., Osler, Merete, Lauritzen, Martin, Rostrup, Egill & Nielsen, Mads, 2016, I: Human Brain Mapping. 37, 3, s. 1148-1161 14 s.

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt

    39. Udgivet

      Hippocampal texture predicts conversion from MCI to Alzheimer's disease

      Sørensen, L., Pai, A. S. U., Igel, Christian & Nielsen, Mads, 2013, I: Alzheimer's & Dementia. 9, 4, Supplement, s. P581 1 s.

      Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › fagfællebedømt

    40. Udgivet

      Hippocampal MRI texture is related to hippocampal glucose metabolism

      Sørensen, L., Pai, A. S. U., Igel, Christian & Nielsen, Mads, 2015, I: Alzheimer's & Dementia. 11, 7, Supplement, s. P55-P56 2 s., IC-P-077.

      Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › fagfællebedømt

    41. Udgivet

      Dementia diagnosis using MRI cortical thickness, shape, texture, and volumetry

      Sørensen, L., Pai, A. S. U., Anker, C., Balas, I., Lillholm, Martin, Igel, Christian & Nielsen, Mads, 2014, MICCAI 2014 Workshop Proceedings: Challenge on Computer-Aided Diagnosis of Dementia Based on Structural MRI Data. Bron, E. E., Smits, M., van Swieten, J. C., Niessen, W. J. & Klein, S. (red.). Erasmus Universiteit Rotterdam, s. 111-118 8 s.

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    42. Udgivet

      Hippocampal texture provides volume-independent information for Alzheimer's disease diagnosis

      Sørensen, L., Pai, A. S. U., Darkner, Sune, Suhy, J., Oh, J., Chen, G., Igel, Christian & Nielsen, M., 2012, I: Alzheimer's & Dementia. 8, 4, Supplement, s. P162–P163 2 s.

      Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift

    43. Efficient covariance matrix update for variable metric evolution strategies

      Suttorp, T., Hansen, N. & Igel, Christian, 2009, I: Machine Learning. 75, 2, s. 167-197 31 s.

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt

    44. Resilient approximation of kernel classifiers

      Suttorp, T. & Igel, Christian, 2007, Artificial Neural Networks – ICANN 2007: 17th International Conference, Porto, Portugal, September 9-13, 2007, Proceedings, Part I. de Sá, J. M., Alexandre, L. A., Duch, W. & Mandic, D. (red.). Springer, Bind Part I. s. 139-148 10 s. (Lecture notes in computer science, Bind 4668).

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    45. Approximation of Gaussian process regression models after training

      Suttorp, T. & Igel, Christian, 2008, ESANN 2008: 16th European Symposium on Artificial Neural Networks. D-side Publications, s. 427-432 6 s. ES2008-84

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    46. Multi-objective optimization of support vector machines

      Suttorp, T. & Igel, Christian, 2006, Multi-objective machine learning. Jin, Y. (red.). Springer, s. 199-220 22 s. (Studies in Computational Intelligence, Bind 16).

      Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi › Forskning › fagfællebedømt

    47. Udgivet

      Nearest neighbour regression outperforms model-based prediction of specific star formation rate

      Stensbo-Smidt, K., Igel, Christian, Zirm, A. W. & Steenstrup Pedersen, Kim, 2013, 2013 IEEE International Conference on Big Data. IEEE, s. 141-144 4 s.

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    48. Udgivet

      Sacrificing information for the greater good: how to select photometric bands for optimal accuracy

      Stensbo-Smidt, K., Gieseke, Fabian Cristian, Igel, Christian, Zirm, A. W. & Steenstrup Pedersen, Kim, 2017, I: Monthly Notices of the Royal Astronomical Society. 464, 3, s. 2577-2596 20 s.

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt

    49. Udgivet

      The German traffic sign recognition benchmark: a multi-class classification competition

      Stallkamp, J., Schlipsing, M., Salmen, J. & Igel, Christian, 2011, Proceedings of the 2011 International Joint Conference on Neural Networks (IJCNN). IEEE, s. 1453-1460 8 s.

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    50. Udgivet

      Introduction to the special issue on machine learning for traffic sign recognition

      Stallkamp, J., Schlipsing, M., Salmen, J. & Igel, Christian, 2012, I: I E E E Transactions on Intelligent Transportation Systems. 13, 4, s. 1481-1483 3 s.

      Publikation: Bidrag til tidsskrift › Leder

    51. Udgivet

      Man vs. computer: benchmarking machine learning algorithms for traffic sign recognition

      Stallkamp, J., Schlipsing, M., Salmen, J. & Igel, Christian, 2012, I: Neural Networks. 32, s. 323-332 10 s.

      Publikation: Bidrag til tidsskrift › Konferenceartikel › fagfællebedømt

    52. Neural network structures and isomorphisms: random walk characteristics of the search space

      Stagge, P. & Igel, Christian, 2000, 2000 IEEE Symposium on Combinations of Evolutionary Computation and Neural Networks. IEEE, s. 82-90 9 s.

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    53. Structure optimization and isomorphisms

      Stagge, P. & Igel, Christian, 2001, Theoretical aspects of evolutionary computing. Kallel, L., Naudts, B. & Rogers, A. (red.). Springer, Bind Part II. s. 409-422 14 s. (Natural Computing Series).

      Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi › Forskning › fagfællebedømt

    54. Udgivet

      Proceedings of the Fourteenth International Conference on Genetic and Evolutionary Computation (GECCO 2012)

      Soule, T. (red.), Auger, A. (red.), Blum, C. (red.), Branke, J. (red.), Bredeche, N. (red.), Browne, W. N. (red.), Clark, J. A. (red.), Deb, K. (red.), Dorin, A. (red.), Doursat, R. (red.), Ekart, A. (red.), Friedrich, T. (red.), Gustafson, S. (red.), Hornby, G. S. (red.), Igel, Christian (red.), Kovacs, T. (red.), Landa-Silva, D. (red.), Lobo, F. G. (red.), Pappa, G. L. (red.), Lozano, J. A. (red.), Meyer-Nieberg, A. (red.), Motsinger, A. (red.), Neumann, F. (red.), Ochoa, G. (red.), Olague, G. (red.), Ong, Y. (red.), Pelikan, M. (red.), Pelta, D. (red.), Pizzuti, C. (red.), Preuss, M. (red.), Rowe, J. (red.), Smith, S. L. (red.), Solnon, C. (red.), Squillero, G. (red.), Tauritz, D. (red.), Wong, M. L. (red.), Yoo, S. (red.) & Yu, T. (red.), 2012, Association for Computing Machinery. 1368 s.

      Publikation: Bog/antologi/afhandling/rapport › Bog › Forskning › fagfællebedømt

    55. Udgivet

      Impact of device programming on the success of the first anti-tachycardia pacing therapy: An anonymized large-scale study

      Shakibfar, Saeed, Krause, Oswin, Lund-Andersen, Casper, Strycko, F., Moll, J., Andersen, Tariq Osman, Høgh Petersen, H., Svendsen, Jesper Hastrup & Igel, Christian, 2019, I: PLoS ONE. 14, 8, e0219533.

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt

    56. Udgivet

      Predicting electrical storms by remote monitoring of implantable cardioverter-defibrillator patients using machine learning

      Shakibfar, Saeed, Krause, Oswin, Lund-Andersen, C., Aranda, A., Moll, J., Andersen, Tariq Osman, Svendsen, Jesper Hastrup, Petersen, H. H. & Igel, Christian, 2019, I: Europace. 21, 2, s. 268–274

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt

    57. Evolutionary adaptation of nonlinear dynamical systems in computational neuroscience

      Schneider, S., Igel, Christian, Klaes, C., Dinse, H. & Wiemer, J., 2004, I: Genetic Programming and Evolvable Machines. 5, 2, s. 215-227 13 s.

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt

    58. Udgivet

      Echtzeit-Videoanalyse im Fußball

      Schlipsing, M., Salmen, J. & Igel, Christian, 2013, I: KI - Künstliche Intelligenz. 27, 3, s. 235-240 6 s.

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt

    59. Udgivet

      Adaptive pattern recognition in real-time video-based soccer analysis

      Schlipsing, M., Salmen, J., Tschentscher, M. & Igel, Christian, jun. 2017, I: Journal of Real-Time Image Processing. 13, 2, s. 345–361 17 s.

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt

    60. Evolutionary optimization of wavelet feature sets for real-time pedestrian classification

      Salmen, J., Suttorp, T., Edelbrunner, J. & Igel, Christian, 2007, 7th International Conference on Hybrid Intelligent Systems: HIS 2007. IEEE, s. 222-227 6 s.

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    61. Efficient update of the covariance matrix inverse in iterated linear discriminant analysis

      Salmen, J., Schlipsing, M. & Igel, Christian, 2010, I: Pattern Recognition Letters. 31, 1, s. 1903 5 s.

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt

    62. Udgivet

      Real-time estimation of optical flow based on optimized haar wavelet features

      Salmen, J., Caup, L. & Igel, Christian, 2011, Evolutionary Multi-Criterion Optimization: 6th International Conference, EMO 2011, Ouro Preto, Brazil, April 5-8, 2011. Proceedings. Takahashi, R. H. C., Deb, K., Wanner, E. F. & Greco, S. (red.). Springer, s. 448-461 14 s. (Lecture notes in computer science, Bind 6576).

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    63. Multi-objective neural network optimization for visual object detection

      Roth, S., Gepperth, A. & Igel, Christian, 2006, Multi-objective machine learning. Jin, Y. (red.). Bind V. s. 629-655 27 s. (Studies in Computational Intelligence, Bind 16).

      Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi › Forskning › fagfællebedømt

    64. Structure optimization of reservoir networks

      Roeschies, B. & Igel, Christian, 2010, I: Logic Journal of the IGPL. 18, 5, s. 635-669 35 s.

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    65. 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    66. 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 tidsskrift › Tidsskriftartikel › fagfællebedømt

    67. Udgivet

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

      Reiner, Florian, Brandt, Martin Stefan, Tong, Xiaoye, Skole, D., Kariryaa, Ankit, Ciais, P., Davies, A., Hiernaux, P., Chave, J., Mugabowindekwe, Maurice, Igel, Christian, Oehmcke, Stefan, Gieseke, Fabian Cristian, Li, Sizhuo, Liu, Siyu, Saatchi, S., Boucher, P., Singh, J., Taugourdeau, S., Dendoncker, M., Song, X., Mertz, Ole, Tucker, C. J. & Fensholt, Rasmus, 2023, I: Nature Communications. 14, 10 s., 2258.

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    68. 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 tidsskrift › Tidsskriftartikel › fagfællebedømt

    69. 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    70. 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    71. 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    72. 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    73. 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    74. 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    75. 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    76. 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    77. 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: Konferencebidrag › Konferenceabstrakt til konference › Forskning › fagfællebedømt

    78. 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    79. 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 tidsskrift › Tidsskriftartikel › fagfællebedømt

    80. 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 tidsskrift › Tidsskriftartikel › fagfællebedømt

    81. 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 tidsskrift › Konferenceabstrakt i tidsskrift

    82. 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 tidsskrift › Tidsskriftartikel › fagfællebedømt

    83. 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    84. 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.

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    85. 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.

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    86. 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    87. 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

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    88. 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.

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    89. 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: Konferencebidrag › Konferenceabstrakt til konference › Forskning › fagfællebedømt

    90. 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.

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    91. Udgivet

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

      Mugabowindekwe, Maurice, Brandt, Martin Stefan, Chave, J., Reiner, Florian, Skole, D. L., Kariryaa, Ankit, Igel, Christian, Hiernaux, P., Ciais, P., Mertz, Ole, Tong, Xiaoye, Li, Sizhuo, Rwanyiziri, G., Dushimiyimana, T., Ndoli, A., Uwizeyimana, V., Lillesø, Jens-Peter Barnekow, Gieseke, Fabian Cristian, Tucker, C. J., Saatchi, S. & Fensholt, Rasmus, 2023, I: Nature climate change. 13, s. 91-97

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    92. 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 tidsskrift › Review › fagfællebedømt

    93. 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/rapport › Konferenceabstrakt i proceedings › Forskning

    94. 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/rapport › Konferenceabstrakt i proceedings › Forskning

    95. 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.

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    96. 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    97. 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.

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    98. 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).

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    99. 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.

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    100. 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.

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