3 papers
cs.CV2026
Task-Based CT Protocol Optimization Using Reinforcement Learning and Virtual Imaging Trials
Jiaqi Zou, David Fenwick, Vahid Tarokh +6
Protocol optimization in computed tomography (CT) aims to improve diagnostic image quality while reducing radiation dose, but the interdependence of acquisition and reconstruction…
cs.LG2025
Reinforcement Learning-Based Optimization of CT Acquisition and Reconstruction Parameters Through Virtual Imaging Trials
David Fenwick, Navid NaderiAlizadeh, Vahid Tarokh +7
Protocol optimization is critical in Computed Tomography (CT) to achieve high diagnostic image quality while minimizing radiation dose. However, due to the complex interdependencie…
cs.LG2025
Scale-up Unlearnable Examples Learning with High-Performance Computing
Yanfan Zhu, Issac Lyngaas, Murali Gopalakrishnan Meena +8
Recent advancements in AI models are structured to retain user interactions, which could inadvertently include sensitive healthcare data. In the healthcare field, particularly when…