You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: README.md
+1Lines changed: 1 addition & 0 deletions
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -83,6 +83,7 @@ Note that the trained models can only be used for academic purposes due to MIB's
83
83
</details>
84
84
85
85
## [Applications of pipeline](https://github.com/andreped/NoCodeSeg#applications-of-pipeline)
86
+
* Chiou et al., An immunohistochemical atlas of necroptotic pathway expression (2024), EMBO Molecular Medicine, https://doi.org/10.1038/s44321-024-00074-6
86
87
* Alharbi et al., A Deep Learning–Based Approach to Estimate Paneth Cell Granule Area in Celiac Disease (2023), Arch Pathol Lab Med, https://doi.org/10.5858/arpa.2023-0074-OA
87
88
* Mallén et al., Sex Differences in Glomerular Lesions, in Atherosclerosis Progression, and in the Response to Angiotensin-Converting Enzyme Inhibitors in the ApoE−/− Mice Model (2023), International Journal of Molecular Science, https://doi.org/10.3390/ijms241713442
88
89
* Røyset et al., Deep learning-based image analysis reveals significant differences in the number and distribution of mucosal CD3 and γδ T cells between Crohn's disease and ulcerative colitis, The Journal of Pathology, https://doi.org/10.1002/cjp2.301
0 commit comments