| Property |
Value |
| Working Groups |
RG Kusch, 
RG Moser |
| Subproject |
None |
| Open Access |
Yes |
| Publication Type |
Preprint |
| Peer Reviewed |
No |
| DOI |
10.1101/2025.11.16.688700 |
| Publication Year |
2025 |
| Title |
CochleaNet: deep learning-based image analysis for cochlear connectomics and gene therapy |
| Journal |
bioRxiv |
| ISSN |
no ISSN (NLM ID:101680187) |
| URL |
https://doi.org/10.1101/2025.11.16.688700 |
| Journal Abbreviation |
bioRxiv |
| Extra |
Not yet finally published in a peer-reviewed journal |
| Authors |
Roos L, Diniz AM, Koert E, Schilling M, Uhl M, Thirumalai A, Aakhte M, Kusch K, Huisken J, Moser T, Pape C |
| First Author |
Roos L |
| Last Author |
Pape C |
External Resources
biorxiv....ll.pdfhttps://www.biorxiv.org/content/10.1101/2025.11.16.688700v1.full.pdf Article fulltext
15https://rdp.sfb1690.uni-goettingen.de/literature/publication/15 Published Data Registry entry (CRC 1690)
1280https://prod.mbexc.uni-goettingen.de/literature/publications/1280 Published Data Registry entry (MBExC)