[{"doi":"10.1007/978-3-031-72353-7_31","publisher":"Springer Nature Switzerland","page":"427-444","date_updated":"2026-03-17T15:29:19Z","place":"Cham","author":[{"first_name":"Julien Marteen","last_name":"Akay","full_name":"Akay, Julien Marteen"},{"orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0003-3300-2048/work/177074568","id":"224375","first_name":"Wolfram","full_name":"Schenck, Wolfram","orcid":"0000-0003-3300-2048","last_name":"Schenck"}],"citation":{"mla":"Akay, Julien Marteen, and Wolfram Schenck. “Transferability of Non-Contrastive Self-Supervised Learning to Chronic Wound Image Recognition.” <i>Artificial Neural Networks and Machine Learning – ICANN 2024. 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part VIII</i>, edited by Michael Wand et al., Springer Nature Switzerland, 2024, pp. 427–44, doi:<a href=\"https://doi.org/10.1007/978-3-031-72353-7_31\">10.1007/978-3-031-72353-7_31</a>.","ama":"Akay JM, Schenck W. Transferability of Non-contrastive Self-supervised Learning to Chronic Wound Image Recognition. In: Wand M, Malinovská K, Schmidhuber J, Tetko IV, eds. <i>Artificial Neural Networks and Machine Learning – ICANN 2024. 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part VIII</i>. Lecture Notes in Computer Science. Cham: Springer Nature Switzerland; 2024:427-444. doi:<a href=\"https://doi.org/10.1007/978-3-031-72353-7_31\">10.1007/978-3-031-72353-7_31</a>","short":"J.M. Akay, W. Schenck, in: M. Wand, K. Malinovská, J. Schmidhuber, I.V. Tetko (Eds.), Artificial Neural Networks and Machine Learning – ICANN 2024. 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part VIII, Springer Nature Switzerland, Cham, 2024, pp. 427–444.","chicago":"Akay, Julien Marteen, and Wolfram Schenck. “Transferability of Non-Contrastive Self-Supervised Learning to Chronic Wound Image Recognition.” In <i>Artificial Neural Networks and Machine Learning – ICANN 2024. 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part VIII</i>, edited by Michael Wand, Kristína Malinovská, Jürgen Schmidhuber, and Igor V. Tetko, 427–44. Lecture Notes in Computer Science. Cham: Springer Nature Switzerland, 2024. <a href=\"https://doi.org/10.1007/978-3-031-72353-7_31\">https://doi.org/10.1007/978-3-031-72353-7_31</a>.","alphadin":"<span style=\"font-variant:small-caps;\">Akay, Julien Marteen</span> ; <span style=\"font-variant:small-caps;\">Schenck, Wolfram</span>: Transferability of Non-contrastive Self-supervised Learning to Chronic Wound Image Recognition. In: <span style=\"font-variant:small-caps;\">Wand, M.</span> ; <span style=\"font-variant:small-caps;\">Malinovská, K.</span> ; <span style=\"font-variant:small-caps;\">Schmidhuber, J.</span> ; <span style=\"font-variant:small-caps;\">Tetko, I. V.</span> (Hrsg.): <i>Artificial Neural Networks and Machine Learning – ICANN 2024. 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part VIII</i>, <i>Lecture Notes in Computer Science</i>. Cham : Springer Nature Switzerland, 2024, S. 427–444","apa":"Akay, J. M., &#38; Schenck, W. (2024). Transferability of Non-contrastive Self-supervised Learning to Chronic Wound Image Recognition. In M. Wand, K. Malinovská, J. Schmidhuber, &#38; I. V. Tetko (Eds.), <i>Artificial Neural Networks and Machine Learning – ICANN 2024. 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part VIII</i> (pp. 427–444). Cham: Springer Nature Switzerland. <a href=\"https://doi.org/10.1007/978-3-031-72353-7_31\">https://doi.org/10.1007/978-3-031-72353-7_31</a>","bibtex":"@inproceedings{Akay_Schenck_2024, place={Cham}, series={Lecture Notes in Computer Science}, title={Transferability of Non-contrastive Self-supervised Learning to Chronic Wound Image Recognition}, DOI={<a href=\"https://doi.org/10.1007/978-3-031-72353-7_31\">10.1007/978-3-031-72353-7_31</a>}, booktitle={Artificial Neural Networks and Machine Learning – ICANN 2024. 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part VIII}, publisher={Springer Nature Switzerland}, author={Akay, Julien Marteen and Schenck, Wolfram}, editor={Wand, Michael and Malinovská, Kristína and Schmidhuber, Jürgen and Tetko, Igor V.Editors}, year={2024}, pages={427–444}, collection={Lecture Notes in Computer Science} }","ieee":"J. M. Akay and W. Schenck, “Transferability of Non-contrastive Self-supervised Learning to Chronic Wound Image Recognition,” in <i>Artificial Neural Networks and Machine Learning – ICANN 2024. 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part VIII</i>, Lugano, Switzerland, 2024, pp. 427–444."},"conference":{"name":"33rd International Conference on Artificial Neural Networks","location":"Lugano, Switzerland","end_date":"2024-09-20","start_date":"2024-09-17"},"status":"public","year":"2024","editor":[{"first_name":"Michael","last_name":"Wand","full_name":"Wand, Michael"},{"full_name":"Malinovská, Kristína","last_name":"Malinovská","first_name":"Kristína"},{"last_name":"Schmidhuber","full_name":"Schmidhuber, Jürgen","first_name":"Jürgen"},{"first_name":"Igor V.","last_name":"Tetko","full_name":"Tetko, Igor V."}],"_id":"5494","language":[{"iso":"eng"}],"title":"Transferability of Non-contrastive Self-supervised Learning to Chronic Wound Image Recognition","date_created":"2025-01-31T16:43:09Z","quality_controlled":"1","department":[{"_id":"103"}],"publication_status":"published","series_title":"Lecture Notes in Computer Science","publication":"Artificial Neural Networks and Machine Learning – ICANN 2024. 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part VIII","research_group":[{"_id":"f025f82c-c221-11ec-90a2-d82e18d06cb8","name":"CareTech OWL - Zentrum für Gesundheit, Soziales und Technologie"}],"type":"conference","publication_identifier":{"issn":["0302-9743"],"isbn":["978-3-031-72352-0"],"eissn":["1611-3349"],"eisbn":["978-3-031-72353-7"]},"project":[{"_id":"beb248c8-cd75-11ed-b77c-e432b4711f7b","name":"Institut für Systemdynamik und Mechatronik"}],"user_id":"220548"}]