44 citations · 76 across the 6 of their papers we have counts for
6 papers
ChEDDAR: Student-ChatGPT Dialogue in EFL Writing Education
Jieun Han, Haneul Yoo, Junho Myung +4
The integration of generative AI in education is expanding, yet empirical analyses of large-scale, real-world interactions between students and AI systems still remain limited. In…
A hyperparameter-tuning approach to automated inverse planning
Kelsey Maass, Aleksandr Aravkin, Minsun Kim
Radiotherapy inverse planning often requires planners to modify parameters in the treatment planning system's objective function to produce clinically acceptable plans. Due to the…
A Proof of Principle: Multi-Modality Radiotherapy Optimization
Roman Levin, Aleksandr Y. Aravkin, Minsun Kim
Radiotherapy is used to treat cancer patients by damaging DNA of tumor cells using ionizing radiation. Photons are the most widely used radiation type for therapy, having been put…
A nonconvex optimization approach to IMRT planning with dose-volume constraints
Kelsey Maass, Minsun Kim, Aleksandr Aravkin
Fluence map optimization for intensity-modulated radiation therapy planning can be formulated as a large-scale inverse problem with competing objectives and constraints associated…
A Markov decision process approach to optimizing cancer therapy using multiple modalities
Kelsey Maass, Minsun Kim
There are several different modalities, e.g., surgery, chemotherapy, and radiotherapy, that are currently used to treat cancer. It is common practice to use a combination of these…
A Hierachical Evolutionary Algorithm for Multiobjective Optimization in IMRT
Clay Holdsworth, Minsun Kim, Jay Liao +1
Purpose: Current inverse planning methods for IMRT are limited because they are not designed to explore the trade-offs between the competing objectives between the tumor and normal…