Absorbed dose assessment in the presence of tissue heterogeneities in external radiotherapy 

    Bueno Vizcarra, Marta (Date of defense: 2013-12-13)

    The absorbed dose assessment in the presence of tissue heterogeneities in external radiotherapy is an issue that has concerned the medical physics community for almost three decades and it is still a matter of concern. ...

    Surgical subtask automation for intraluminal procedures using deep reinforcement learning 

    Pore, Ameya Ravindra (Date of defense: 2023-07-27)

    (English) Intraluminal procedures have opened up a new sub-field of minimally invasive surgery that use flexible instruments to navigate through complex luminal structures of the body, resulting in reduced invasiveness and ...

    US signal and image monitoring and diagnosis using computer vision and deep learning 

    Farahi, Maria (Date of defense: 2023-11-03)

    (English) This thesis presents a comprehensive investigation of the reliability and efficacy of Ultra-Sound (US) signals and images for remote monitoring and early diagnosis in medical applications. The main objective of ...