Christian Igel

Publikation

Publikationer pr. år 1997 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2021 2022 2023 2024

• 10595 Citationer
• 100 Konferencebidrag i proceedings
• 80 Tidsskriftartikel
• 18 Konferenceabstrakt i proceedings
• 17 Konferenceabstrakt i tidsskrift
• 54 Mere
  • 14 Bidrag til bog/antologi
  • 7 Preprint
  • 6 Leder
  • 5 Bog
  • 5 Konferenceabstrakt til konference
  • 4 Konferenceartikel
  • 3 Paper
  • 3 Poster
  • 2 Encyclopædiartikel
  • 2 Review
  • 1 Rapport
  • 1 Bidrag til rapport
  • 1 Letter

Publikationer pr. år

Publikationer pr. år

Søgeresultater

• 2024

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

  Møller, B. L., Lo, B. Z. S., Burisch, J., Bendtsen, F., Vind, I., Ibragimov, B. & Igel, C., 2024, (E-pub ahead of print) I: KI - Künstliche Intelligenz. 8 s.

  Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

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

  Oehmcke, S., Li, L., Trepekli, K., Revenga, J. C., Nord-Larsen, T., Gieseke, F. & Igel, C., 2024, I: Remote Sensing of Environment. 302, 21 s., 113968.

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  7 Citationer (Scopus)

  53 Downloads (Pure)

• EC-NAS: Energy Consumption Aware Tabular Benchmarks for Neural Architecture Search

  Bakhtiarifard, P., Igel, C. & Selvan, R., 2024, 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024 - Proceedings. IEEE, s. 5660-5664 5 s.

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  5 Downloads (Pure)

• Equity through Access: A Case for Small-scale Deep Learning

  Selvan, R., Pepin, B., Igel, C., Samuel, G. & Dam, E. B., 19 mar. 2024, arxiv.org, 13 s.

  Publikation: Working paper › Preprint › Forskning

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  13 Downloads (Pure)

• Modelling Residential Fire Vulnerability of Denmark

  Crump, N., Markussen, B., Oehmcke, S., Igel, C., Skov-Petersen, H. & Karlsson Nyed, P., 2024, (E-pub ahead of print) I: Fire Technology.

  Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

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• Towards more comprehensive nationwide familial aggregation studies in Denmark: The Danish Civil Registration System versus the lite Danish Multi-Generation Register

  Due, J. K., Pedersen, M. G., Antonsen, S., Rommedahl, J., Agerbo, E., Mortensen, P. B., Sørensen, H. T., Lotz, J. F., Piqueras, L. C., Fierro, C., Karamolegkou, A., Igel, C., Rust, P., Søgaard, A. & Pedersen, C. B., 2024, I: Scandinavian Journal of Public Health. 52, 4, s. 397-538

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

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

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  3 Citationer (Scopus)

  14 Downloads (Pure)
• 2023

  Allometric equations to estimate the dry mass of Sahel woody plants mapped with very-high resolution satellite imagery

  Hiernaux, P., Issoufou, H. B. A., Igel, C., Kariryaa, A., Kourouma, M., Chave, J., Mougin, E. & Savadogo, P., 1 feb. 2023, I: Forest Ecology and Management. 529, 13 s., 120653.

  Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
  10 Citationer (Scopus)

• BuildSeg: A General Framework for the Segmentation of Buildings

  Li, L., Zhang, T., Oehmcke, S., Gieseke, F. & Igel, C., 15 jan. 2023, arxiv.org, 7 s.

  Publikation: Working paper › Preprint › Forskning

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

  Li, S., Brandt, M., Fensholt, R., Kariryaa, A., Igel, C., Gieseke, F., Nord-Larsen, T., Oehmcke, S., Carlsen, A. H., Junttila, S., Tong, X., d’Aspremont, A. & Ciais, P., 2023, I: PNAS Nexus. 2, 4, 16 s., pgad076.

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  19 Citationer (Scopus)

  126 Downloads (Pure)

• Familiarity-Based Open-Set Recognition Under Adversarial Attacks

  Enevoldsen∗, P., Gundersen, C., Lang, N., Belongie, S. & Igel, C., 2023, arXiv.org, 5 s.

  Publikation: Working paper › Preprint

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

  Zhang, T., Li, L., Igel, C., Oehmcke, S., Gieseke, F. & Peng, Z., 2023, 2022 IEEE International Conference on Computer and Communications (ICCC), Chengdu, China. IEEE, s. 1951-1957

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  7 Citationer (Scopus)

  13 Downloads (Pure)

• 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-P., Mertz, O., Tucker, C. J. & Fensholt, R., 2023, I: Nature Communications. 14, 10 s., 2258.

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  43 Citationer (Scopus)

  44 Downloads (Pure)

• MULTIFIN: A Dataset for Multilingual Financial NLP

  Jørgensen, R. K., Brandt, O., Hartmann, M., Dai, X., Igel, C. & Elliott, D., 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

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• 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, R., 2023, I: Nature climate change. 13, s. 91-97

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  35 Citationer (Scopus)

  74 Downloads (Pure)

• Predicting urban tree cover from incomplete point labels and limited background information

  Zhang, H., Kariryaa, A., Guthula, V. B., Igel, C. & Oehmcke, S., 2023, Urban-AI 2023 - Proceedings of the 1st ACM SIGSPATIAL International Workshop on Advances in Urban-AI. Omitaomu, O. A., Mostafavi, A. & Liu, Y. (red.). Association for Computing Machinery, Inc., s. 52-60

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• Remember to Correct the Bias When Using Deep Learning for Regression!

  Igel, C. & Oehmcke, S., 2023, I: KI - Kunstliche Intelligenz. 37, 1, s. 33-40

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

  Tucker, C., Brandt, M., Hiernaux, P., Kariryaa, A., Rasmussen, K., Small, J., Igel, C., Reiner, F., Melocik, K., Meyer, J., Sinno, S., Romero, E., Glennie, E., Fitts, Y., Morin, A., Pinzon, J., McClain, D., Morin, P., Porter, C., Loeffler, S. & 10 flere, Kergoat, L., Issoufou, B-A., Savadogo, P., Wigneron, J-P., Poulter, B., Ciais, P., Kaufmann, R., Myneni, R., Saatchi, S. & Fensholt, R., 2023, I: Nature. 615, 7950, s. 80-86

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  40 Citationer (Scopus)

  53 Downloads (Pure)

• The Liver Tumor Segmentation Benchmark (LiTS)

  Bilic, P., Christ, P., Li, H. B., Vorontsov, E., Ben-Cohen, A., Kaissis, G., Szeskin, A., Jacobs, C., Mamani, G. E. H., Chartrand, G., Lohöfer, F., Holch, J. W., Sommer, W., Hofmann, F., Hostettler, A., Lev-Cohain, N., Drozdzal, M., Amitai, M. M., Vivanti, R., Sosna, J. & 89 flere, Ezhov, I., Sekuboyina, A., Navarro, F., Kofler, F., Paetzold, J. C., Shit, S., Hu, X., Lipková, J., Rempfler, M., Piraud, M., Kirschke, J., Wiestler, B., Zhang, Z., Hülsemeyer, C., Beetz, M., Ettlinger, F., Antonelli, M., Bae, W., Bellver, M., Bi, L., Chen, H., Chlebus, G., Dam, E. B., Dou, Q., Fu, C-W., Georgescu, B., Giró-I-Nieto, X., Gruen, F., Han, X., Heng, P-A., Hesser, J., Moltz, J. H., Igel, C., Isensee, F., Jäger, P., Jia, F., Kaluva, K. C., Khened, M., Kim, I., Kim, J-H., Kim, S., Kohl, S., Konopczynski, T., Kori, A., Krishnamurthi, G., Li, F., Li, H., Li, J., Li, X., Lowengrub, J., Ma, J., Maier-Hein, K., Maninis, K-K., Meine, H., Merhof, D., Pai, A., Perslev, M., Petersen, J., Pont-Tuset, J., Qi, J., Qi, X., Rippel, O., Roth, K., Sarasua, I., Schenk, A., Shen, Z., Torres, J., Wachinger, C., Wang, C., Weninger, L., Wu, J., Xu, D., Yang, X., Yu, S. C-H., Yuan, Y., Yue, M., Zhang, L., Cardoso, J., Bakas, S., Braren, R., Heinemann, V., Pal, C., Tang, A., Kadoury, S., Soler, L., van Ginneken, B., Greenspan, H., Joskowicz, L. & Menze, B., 2023, I: Medical Image Analysis. 84, 24 s., 102680.

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  291 Citationer (Scopus)

  17 Downloads (Pure)

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

  Liu, S., Brandt, M., Nord-Larsen, T., Chave, J., Reiner, F., Lang, N., Tong, X., Ciais, P., Igel, C., Pascual, A., Guerra-hernandez, J., Li, S., Mugabowindekwe, M., Saatchi, S., Yue, Y., Chen, Z. & Fensholt, R., 2023, I: Science Advances. 9, 37, 15 s., eadh4097.

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  15 Citationer (Scopus)

  33 Downloads (Pure)

• Towards Automatic Cartilage Quantification in Clinical Trials – Continuing from the 2019 IWOAI Knee Segmentation Challenge

  Dam, E. B., Desai, A. D., Deniz, C. M., Rajamohan, H. R., Regatte, R., Iriondo, C., Pedoia, V., Majumdar, S., Perslev, M., Igel, C., Pai, A., Gaj, S., Yang, M., Nakamura, K., Li, X., Maqbool, H., Irmakci, I., Song, S-E., Bagci, U., Hargreaves, B. & 2 flere, Gold, G. & Chaudhari, A., 2023, I: Osteoarthritis Imaging. 3, 1, 9 s., 100087.

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• 2022

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

  Revenga, J. C., Trepekli, K., Oehmcke, S., Jensen, R., Li, L., Igel, C., Gieseke, F. C. & Friborg, T., 2022, I: Remote Sensing. 14, 16, 22 s., 3912.

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  15 Citationer (Scopus)

  78 Downloads (Pure)

• A Brief Overview of Unsupervised Neural Speech Representation Learning

  Borgholt, L., Havtorn, J. D., Edin, J., Maaløe, L. & Igel, C., 2022, Proceedings of 2nd Workshop on Self-supervised Learning for Audio and Speech Processing. Association for the Advancement of Artificial Intelligence, 13 s.

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• Are Multilingual Sentiment Models Equally Right for the Right Reasons?

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

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• 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, H. K., Igel, C. & Jennum, P. J., 2022, I: Journal of Sleep Research. 31, S1, 1 s.

  Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › Forskning

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

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

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  35 Downloads (Pure)

• Date Recognition in Historical Parish Records

  Piqueras, L. C., Fierro, C., Lotz, J. F., Rust, P., Rommedahl, J., Due, J. K., Igel, C., Elliott, D., Pedersen, C. B., Salazar, I. & Søgaard, A., 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).

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  1 Citationer (Scopus)

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

  Oehmcke, S., Li, L., Revenga, J. C., Nord-Larsen, T., Trepekli, K., Gieseke, F. & Igel, C., 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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  9 Citationer (Scopus)

• Energy Consumption-Aware Tabular Benchmarks for Neural Architecture Search

  Bakhtiarifard, P., Igel, C. & Selvan, R., 12 okt. 2022, arxiv.org, 13 s.

  Publikation: Working paper › Preprint › Forskning

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• Ensemble Learning for Semantic Segmentation of Ancient Maya Architectures

  Hellweg, T., Oehmcke, S., Kariryaa, A., Gieseke, F. & Igel, C., 2022, Discover the Mysteries of the Maya: Selected Contributions from the Machine Learning Challenge & the Discovery Challenge Workshop, ECML PKDD 2021. Kocev, D., Simidjievski, N., Kostovska, A., Dimitrovski, I. & Kokalj, Ž. (red.). Ljubljana: Jožef Stefan Institute , s. 13-19 7 s.

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

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

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  13 Citationer (Scopus)

• Histogram-Based Unsupervised Domain Adaptation for Medical Image Classification

  Diao, P., Pai, A., Igel, C. & Krag, C. H., 2022, Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 - 25th International Conference, Proceedings. Wang, L., Dou, Q., Fletcher, P. T., Speidel, S. & Li, S. (red.). Springer, s. 755-764 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 13437 LNCS).

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  4 Citationer (Scopus)

• Information Bottleneck: Exact Analysis of (Quantized) Neural Networks

  Lorenzen, S. S., Igel, C. & Nielsen, M., 2022, arXiv.org, 19 s.

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

  Kutuzova, S., Krause, O., McCloskey, D., Nielsen, M. & Igel, C., jan. 2022, arXiv.org, 29 s.

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• Self-Supervised Speech Representation Learning: A Review

  Mohamed, A., Lee, H. Y., Borgholt, L., Havtorn, J. D., Edin, J., Igel, C., 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

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  143 Citationer (Scopus)

  9 Downloads (Pure)
• 2021

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

  The Presager Project, 2021, I: Journal of Crohn's & colitis. 15, Suppl. 1, s. S007-S007

  Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › Forskning

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

  Kutuzova, S., Igel, C., Nielsen, M. & McCloskey, D., 2021, bioRxiv, 22 s.

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

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

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• Data, Knowledge, and Computation

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

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• 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, M., Ibragimov, B., Petersen, J., Lillholm, M., Middleton, J., Mogensen, S. H., Thorsen-Meyer, H-C., Perner, A., Helleberg, M., Kaas-Hansen, B. S., Bonde, M., Bonde, A., Pai, A., Nielsen, M. & Sillesen, M., 2021, I: Scientific Reports. 11, 1, 12 s., 3246.

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  54 Citationer (Scopus)

  280 Downloads (Pure)

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

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

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  14 Citationer (Scopus)

• On scaling contrastive representations for low-resource speech recognition

  Borgholt, L., Tax, T. M. S., Havtorn, J. D., Maaløe, L. & Igel, C., 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, Bind 2021-June. s. 3885-3889

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  2 Citationer (Scopus)

• On the convergence of the Metropolis algorithm with fixed-order updates for multivariate binary probability distributions.

  Brügge, K., Fischer, A. & Igel, C., 2021, Proceedings of The 24th International Conference on Artificial Intelligence and Statistic. PMLR, s. 469-477 (Proceedings of Machine Learning Research, Bind 130).

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• The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset

  IWOAI Segmentation Challenge Writing Group, 2021, I: Radiology. Artificial intelligence. 3, 3, 13 s., e200078.

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  48 Citationer (Scopus)

  16 Downloads (Pure)

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

  Lorenzen, S. S., Nielsen, M., Jimenez-Solem, E., Petersen, T. S., Perner, A., Thorsen-Meyer, H-C., Igel, C. & Sillesen, M., 23 sep. 2021, I: Scientific Reports. 11, 1, 10 s., 18959.

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  15 Citationer (Scopus)

  59 Downloads (Pure)

• U-Sleep: resilient high-frequency sleep staging

  Perslev, M., Darkner, S., Kempfner, L., Nikolic, M., Jennum, P. J. & Igel, C., 15 apr. 2021, I: npj Digital Medicine. 4, 1, 12 s., 72.

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  149 Citationer (Scopus)

  63 Downloads (Pure)
• 2020

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

  Krause, O., Fischer, A. & Igel, C., 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).

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• Algorithms for estimating the partition function of restricted Boltzmann machines

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

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• A Loss Function for Generative Neural Networks Based on Watson's Perceptual Model

  Czolbe, S., Krause, O., Cox, I. & Igel, C., 2020, Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtua. NeurIPS Proceedings, (Advances in Neural Information Processing Systems, Bind 33).

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• A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset: Findings From The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge

  Desai, A. D., Caliva, F., Iriondo, C., Khosravan, N., Mortazi, A., Jambawalikar, S., Torigian, D., Ellerman, J., Akcakaya, M., Bagci, U., Tibrewala, R., Flament, I., O`Brien, M., Majumdar, S., Perslev, M., Pai, A., Igel, C., Dam, E. B., Gaj, S., Yang, M. & 9 flere, Nakamura, K., Li, X., Deniz, C. M., Juras, V., Regatte, R., Gold, G. E., Hargreaves, B. A., Pedoia, V. & Chaudhari, A. S., 2020, I: Osteoarthritis and Cartilage Open. 28, Suppl. 1, s. 5304-5305

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