GITBOOK-328: change request with no subject merged in GitBook

Author: fedorov

publications.md

@@ -2,13 +2,13 @@
 
 ## Publications by the IDC team
 
-1. Fedorov, A., Longabaugh, W. J. R., Pot, D., Clunie, D. A., Pieper, S., Aerts, H. J. W. L., Homeyer, A., Lewis, R., Akbarzadeh, A., Bontempi, D., Clifford, W., Herrmann, M. D., Höfener, H., Octaviano, I., Osborne, C., Paquette, S., Petts, J., Punzo, D., Reyes, M., Schacherer, D. P., Tian, M., White, G., Ziegler, E., Shmulevich, I., Pihl, T., Wagner, U., Farahani, K. & Kikinis, R. NCI Imaging Data Commons. _Cancer Res._ 81, 4188–4193 (2021). [http://dx.doi.org/10.1158/0008-5472.CAN-21-0950](http://dx.doi.org/10.1158/0008-5472.CAN-21-0950)
-2. Gorman, C., Punzo, D., Octaviano, I., Pieper, S., Longabaugh, W. J. R., Clunie, D. A., Kikinis, R., Fedorov, A. Y. & Herrmann, M. D. Interoperable slide microscopy viewer and annotation tool for imaging data science and computational pathology. _Nat. Commun._ 14, 1–15 (2023). [http://dx.doi.org/10.1038/s41467-023-37224-2](http://dx.doi.org/10.1038/s41467-023-37224-2)
-3. Schacherer, D. P., Herrmann, M. D., Clunie, D. A., Höfener, H., Clifford, W., Longabaugh, W. J. R., Pieper, S., Kikinis, R., Fedorov, A. & Homeyer, A. The NCI Imaging Data Commons as a platform for reproducible research in computational pathology. _arXiv \[cs.CV]_ (2023). at <[http://arxiv.org/abs/2303.09354](http://arxiv.org/abs/2303.09354)>&#x20;
+1. Fedorov, A., Longabaugh, W. J. R., Pot, D., Clunie, D. A., Pieper, S. D., Gibbs, D. L., Bridge, C., Herrmann, M. D., Homeyer, A., Lewis, R., Aerts, H. J. W., Krishnaswamy, D., Thiriveedhi, V. K., Ciausu, C., Schacherer, D. P., Bontempi, D., Pihl, T., Wagner, U., Farahani, K., Kim, E. & Kikinis, R. _National Cancer Institute Imaging Data Commons: Toward Transparency, Reproducibility, and Scalability in Imaging Artificial Intelligence_. RadioGraphics (2023). [https://doi.org/10.1148/rg.230180](https://doi.org/10.1148/rg.230180)
+2. Fedorov, A., Longabaugh, W. J. R., Pot, D., Clunie, D. A., Pieper, S., Aerts, H. J. W. L., Homeyer, A., Lewis, R., Akbarzadeh, A., Bontempi, D., Clifford, W., Herrmann, M. D., Höfener, H., Octaviano, I., Osborne, C., Paquette, S., Petts, J., Punzo, D., Reyes, M., Schacherer, D. P., Tian, M., White, G., Ziegler, E., Shmulevich, I., Pihl, T., Wagner, U., Farahani, K. & Kikinis, R. NCI Imaging Data Commons. _Cancer Res._ 81, 4188–4193 (2021). [http://dx.doi.org/10.1158/0008-5472.CAN-21-0950](http://dx.doi.org/10.1158/0008-5472.CAN-21-0950)
+3. Gorman, C., Punzo, D., Octaviano, I., Pieper, S., Longabaugh, W. J. R., Clunie, D. A., Kikinis, R., Fedorov, A. Y. & Herrmann, M. D. Interoperable slide microscopy viewer and annotation tool for imaging data science and computational pathology. _Nat. Commun._ 14, 1–15 (2023). [http://dx.doi.org/10.1038/s41467-023-37224-2](http://dx.doi.org/10.1038/s41467-023-37224-2)
 4. Bridge, C. P., Gorman, C., Pieper, S., Doyle, S. W., Lennerz, J. K., Kalpathy-Cramer, J., Clunie, D. A., Fedorov, A. Y. & Herrmann, M. D. Highdicom: a Python Library for Standardized Encoding of Image Annotations and Machine Learning Model Outputs in Pathology and Radiology. _J. Digit. Imaging_ 35, 1719–1737 (2022). [http://dx.doi.org/10.1007/s10278-022-00683-y](http://dx.doi.org/10.1007/s10278-022-00683-y)
-5. Krishnaswamy, D., Bontempi, D., Thiriveedhi, V., Punzo, D., Clunie, D., Bridge, C. P., Aerts, H. J., Kikinis, R. & Fedorov, A. Enrichment of the NLST and NSCLC-Radiomics computed tomography collections with AI-derived annotations. arXiv \[cs.CV] (2023). at <[http://arxiv.org/abs/2306.00150](http://arxiv.org/abs/2306.00150)>
-6. Bontempi, D., Nuernberg, L., Krishnaswamy, D., Hosny, A., Farahani, K., Kikinis, R., Fedorov, A. & Aerts, H. J. Transparent and reproducible AI-based medical imaging pipelines using the cloud. _Research Square_ (2023). [https://dx.doi.org/10.21203/rs.3.rs-3142996/v1](https://dx.doi.org/10.21203/rs.3.rs-3142996/v1)
-7. Schacherer, D. P., Herrmann, M. D., Clunie, D. A., Höfener, H., Clifford, W., Longabaugh, W. J. R., Pieper, S., Kikinis, R., Fedorov, A. & Homeyer, A. The NCI Imaging Data Commons as a platform for reproducible research in computational pathology. _Comput. Methods Programs Biomed._ 107839 (2023). doi:[10.1016/j.cmpb.2023.107839](https://dx.doi.org/10.1016/j.cmpb.2023.107839)
+5. Schacherer, D. P., Herrmann, M. D., Clunie, D. A., Höfener, H., Clifford, W., Longabaugh, W. J. R., Pieper, S., Kikinis, R., Fedorov, A. & Homeyer, A. The NCI Imaging Data Commons as a platform for reproducible research in computational pathology. _Comput. Methods Programs Biomed._ 107839 (2023). doi:[10.1016/j.cmpb.2023.107839](https://dx.doi.org/10.1016/j.cmpb.2023.107839)
+6. Krishnaswamy, D., Bontempi, D., Thiriveedhi, V., Punzo, D., Clunie, D., Bridge, C. P., Aerts, H. J., Kikinis, R. & Fedorov, A. Enrichment of the NLST and NSCLC-Radiomics computed tomography collections with AI-derived annotations. arXiv \[cs.CV] (2023). at <[http://arxiv.org/abs/2306.00150](http://arxiv.org/abs/2306.00150)>
+7. Bontempi, D., Nuernberg, L., Krishnaswamy, D., Hosny, A., Farahani, K., Kikinis, R., Fedorov, A. & Aerts, H. J. Transparent and reproducible AI-based medical imaging pipelines using the cloud. _Research Square_ (2023). [https://dx.doi.org/10.21203/rs.3.rs-3142996/v1](https://dx.doi.org/10.21203/rs.3.rs-3142996/v1)
 
 ## Publications referencing IDC (a subset)