AI-SURGE Towards personalized AI-based treatment selection in colorectal cancer surgery
Organization:
Funded by: | Center for Medical Imaging North East Netherlands (CMI-NEN) |
Postdoc: |  |
Supervisors: | chair MIA:  Daily supervisor:  |
Collaboration: |
Description:
The choice of the procedure to be performed in colorectal cancer surgery is crucial, as a wrong choice may lead to poor postoperative outcomes.The project AI-surge consists in providing a decision support tool for surgeons based on artificial intelligence computing pelvimetry parameters, based on the segmentation of body parts such as the rectum, blood vessels or the tumour.
Output:
Publications of Elina Thibeau-Sutre
2023
Thibeau-Sutre, E. , Wolterink, J. M., Colliot, O., & Burgos, N. (2023). How Can Data Augmentation Improve Attribution Maps for Disease Subtype Explainability? In O. Colliot, & I. Isgum (Eds.), SPIE Medical Imaging 2023: Image Processing Article 1246424 SPIE. https://doi.org/10.1117/12.2653809
Thibeau-Sutre, E. , Alblas, D., Buurman, S. , Brune, C. , & Wolterink, J. M. (Accepted/In press). Uncertainty-based quality assurance of carotid artery segmentation. In Uncertainty for Safe Utilization of Machine Learning in Medical Imaging (UNSURE)
2022
Thibeau-Sutre, E., Díaz, M., Hassanaly, R., Routier, A., Dormont, D., Colliot, O., & Burgos, N. (2022). ClinicaDL: An open-source deep learning software for reproducible neuroimaging processing. Computer methods and programs in biomedicine, 220, Article 106818. https://doi.org/10.1016/j.cmpb.2022.106818
Thibeau-Sutre, E., Couvy-Duchesne, B., Dormont, D., Colliot, O., & Burgos, N. (2022). MRI field strength predicts Alzheimer's disease: a case example of bias in the ADNI data set. In MRI field strength predicts Alzheimer's disease: a case example of bias in the ADNI data set https://doi.org/10.1109/ISBI52829.2022.9761504