1 citations · 1 across the 4 of their papers we have counts for
4 papers
AI End-to-End Radiation Treatment Planning Under One Second
Simon Arberet, Riqiang Gao, Martin Kraus +9
Artificial intelligence-based radiation therapy (RT) planning has the potential to reduce planning time and inter-planner variability, improving efficiency and consistency in clini…
Demo: Generative AI helps Radiotherapy Planning with User Preference
Riqiang Gao, Simon Arberet, Martin Kraus +6
Radiotherapy planning is a highly complex process that often varies significantly across institutions and individual planners. Most existing deep learning approaches for 3D dose pr…
Multi-Agent Reinforcement Learning with Long-Term Performance Objectives for Service Workforce Optimization
Kareem Eissa, Rayal Prasad, Sarith Mohan +3
Workforce optimization plays a crucial role in efficient organizational operations where decision-making may span several different administrative and time scales. For instance, di…
Deep learning-based identification of patients at increased risk of cancer using routine laboratory markers
Vivek Singh, Shikha Chaganti, Matthias Siebert +6
Early screening for cancer has proven to improve the survival rate and spare patients from intensive and costly treatments due to late diagnosis. Cancer screening in the healthy po…