Automated Author ProfileLe Calvez, Baptiste
Centre Hospitalier Universitaire de Nantes
Le Calvez, Baptiste
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 0.8 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Annotated image dataset from the paper :De Almeida Braga, C., Bauvais, M., Sujobert, P., Heiblig, M., Jullien, M., Le Calvez, B., Richard, C., Le Roc'h, V., Rault, E., Hérault, O., Peterlin, P., Garnier, A., Chevallier, P., Bouzy, S., Le Bris, Y., Néel, A., Graveleau, J., Kosmider, O., Paul-Gilloteaux, P., Normand, N. and Eveillard, M. (2024), Deep Learning-Based Blood Abnormalities Detection as a Tool for VEXAS Syndrome Screening. Int J Lab Hematol. https://doi.org/10.1111/ijlh.14368Please refer to the paper for additionnal information on collection methods and findings related to the data.Please cite the paper if you use this data.The project contains .csv annotation files and image folders structured as follows :train/ centre_ID/ patient_ID/ slide_ID/ 000000.jpg 000001.jpg ...test/ centre_ID/ patient_ID/ slide_ID/ ...train.csvtest.csv
Authors
- De Almeida Braga, Cédric ;
- Bauvais, Maxence ;
- Sujobert, Pierre ;
- Heiblig, Maël ;
- Jullien, Maxime ;
- Le Calvez, Baptiste ;
- Richard, Camille ;
- Le Roc' h, Valentin ;
- Rault, Emmanuelle ;
- Hérault, Olivier ;
- Peterlin, Pierre ;
- Garnier, Alice ;
- Chevallier, Patrice ;
- Bouzy, Simon ;
- Le Bris, Yannick ;
- Néel, Antoine ;
- Graveleau, Julie ;
- Kosmider, Olivier ;
- Paul-Gilloteaux, Perrine ;
- Normand, Nicolas ;
- Eveillard, Marion
Annotated image dataset from the paper :De Almeida Braga, C., Bauvais, M., Sujobert, P., Heiblig, M., Jullien, M., Le Calvez, B., Richard, C., Le Roc'h, V., Rault, E., Hérault, O., Peterlin, P., Garnier, A., Chevallier, P., Bouzy, S., Le Bris, Y., Néel, A., Graveleau, J., Kosmider, O., Paul-Gilloteaux, P., Normand, N. and Eveillard, M. (2024), Deep Learning-Based Blood Abnormalities Detection as a Tool for VEXAS Syndrome Screening. Int J Lab Hematol. https://doi.org/10.1111/ijlh.14368Please refer to the paper for additionnal information on collection methods and findings related to the data.Please cite the paper if you use this data.The project contains .csv annotation files and image folders structured as follows :train/ centre_ID/ patient_ID/ slide_ID/ 000000.jpg 000001.jpg ...test/ centre_ID/ patient_ID/ slide_ID/ ...train.csvtest.csv
Authors
- De Almeida Braga, Cédric ;
- Bauvais, Maxence ;
- Sujobert, Pierre ;
- Heiblig, Maël ;
- Jullien, Maxime ;
- Le Calvez, Baptiste ;
- Richard, Camille ;
- Le Roc' h, Valentin ;
- Rault, Emmanuelle ;
- Hérault, Olivier ;
- Peterlin, Pierre ;
- Garnier, Alice ;
- Chevallier, Patrice ;
- Bouzy, Simon ;
- Le Bris, Yannick ;
- Néel, Antoine ;
- Graveleau, Julie ;
- Kosmider, Olivier ;
- Paul-Gilloteaux, Perrine ;
- Normand, Nicolas ;
- Eveillard, Marion