Merge pull request #39 from andreped/new-app-readme
Browse files
README.md
CHANGED
|
@@ -111,7 +111,8 @@ pip install 'cupy-cuda110>=7.7.0,<8.0.0'
|
|
| 111 |
</details>
|
| 112 |
|
| 113 |
## Applications of livermask
|
| 114 |
-
*
|
|
|
|
| 115 |
* Pérez de Frutos et al., Learning deep abdominal CT registration through adaptive loss weighting and synthetic data generation, PLOS ONE, 2023,
|
| 116 |
https://doi.org/10.1371/journal.pone.0282110
|
| 117 |
* Lee et al., Robust End-to-End Focal Liver Lesion Detection Using Unregistered Multiphase Computed Tomography Images, IEEE Transactions on Emerging Topics in Computational Intelligence, 2021, https://doi.org/10.1109/TETCI.2021.3132382
|
|
|
|
| 111 |
</details>
|
| 112 |
|
| 113 |
## Applications of livermask
|
| 114 |
+
* Wang et al., Machine learning-based radiomic models for predicting metachronous liver metastases in colorectal cancer patients: a multimodal study, Research Square (preprint), 2024, https://doi.org/10.21203/rs.3.rs-3320033/v1
|
| 115 |
+
* Yevdokimov et al., Recognition of Diffuse Hepatic Steatosis, 33rd Conference of Open Innovations Association, FRUCT, 2023, https://doi.org/10.23919/FRUCT58615.2023.10143062
|
| 116 |
* Pérez de Frutos et al., Learning deep abdominal CT registration through adaptive loss weighting and synthetic data generation, PLOS ONE, 2023,
|
| 117 |
https://doi.org/10.1371/journal.pone.0282110
|
| 118 |
* Lee et al., Robust End-to-End Focal Liver Lesion Detection Using Unregistered Multiphase Computed Tomography Images, IEEE Transactions on Emerging Topics in Computational Intelligence, 2021, https://doi.org/10.1109/TETCI.2021.3132382
|