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