The overarching objective of this project is to enhance the precision and efficacy of radiation therapy (RT) by harnessing cutting-edge image registration technologies. At its core, the project seeks to innovate within the field of deformable image registration (DIR) — a technique vital for accurately assessing radiation doses to tumors and healthy tissues. By integrating DIR with the sophisticated computational capabilities of deep learning (DL), the project aims to develop a system that can determine the accumulated delivered dose, taking the variations in the patient anatomy into account. Moreover, the project places emphasis on uncertainty estimation — a process that quantifies the confidence in the predicted accumulated dose. The project intends to incorporate measures that can assess and communicate the degree of certainty in DIR and/or dose. This not only will foster greater trust in the system but will also provide clinicians with valuable information when making a treatment decision.