Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Browsing by Subject deep non-consistent MT
Showing results 1 to 1 of 1
| Issue Date | Title | Author(s) |
|---|---|---|
| 12-Mar-2026 | Mitigating model coupling in semi-supervised segmentation via deep non-consistent mean teacher and fully collaborative learning | Min, C; Lei, T; Wang, X; Wang, Y; Meng, H; Nandi, AK |