Overall Objectives
Research Program
Application Domains
New Software and Platforms
New Results
- Machine learning and mechanistic modeling for prediction of metastatic relapse in early-stage breast cancer
- Numerical workflow for clinical electroporation ablation
- A reduced Gompertz model for predicting tumor age using a population approach
- T2-based MRI Delta-Radiomics Improve Response Prediction in Soft-Tissue Sarcomas Treated by Neoadjuvant Chemotherapy
- Quantitative mathematical modeling of clinical brain metastasis dynamics in non-small cell lung cancer
- Optimizing 4D abdominal MRI: Image denoisingusing an iterative back-projection approach
- Optimal Scheduling of Bevacizumab and Pemetrexed/cisplatin Dosing in Non‐Small Cell Lung Cancer
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Bibliography
Overall Objectives
Research Program
Application Domains
New Software and Platforms
New Results
- Machine learning and mechanistic modeling for prediction of metastatic relapse in early-stage breast cancer
- Numerical workflow for clinical electroporation ablation
- A reduced Gompertz model for predicting tumor age using a population approach
- T2-based MRI Delta-Radiomics Improve Response Prediction in Soft-Tissue Sarcomas Treated by Neoadjuvant Chemotherapy
- Quantitative mathematical modeling of clinical brain metastasis dynamics in non-small cell lung cancer
- Optimizing 4D abdominal MRI: Image denoisingusing an iterative back-projection approach
- Optimal Scheduling of Bevacizumab and Pemetrexed/cisplatin Dosing in Non‐Small Cell Lung Cancer
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Bibliography
Previous | 
Home