9 citations · 13 across the 3 of their papers we have counts for
3 papers
cs.LG2023
Development and external validation of a lung cancer risk estimation tool using gradient-boosting
Pierre-Louis Benveniste, Julie Alberge, Lei Xing +1
Lung cancer is a significant cause of mortality worldwide, emphasizing the importance of early detection for improved survival rates. In this study, we propose a machine learning (…
physics.med-ph2020★ 9 cited
Pareto Optimal Projection Search (POPS): Automated Radiation Therapy Treatment Planning by Direct Search of the Pareto Surface
Charles Huang, Yong Yang, Neil Panjwani +2
Objective: Radiation therapy treatment planning is a time-consuming, iterative process with potentially high inter-planner variability. Fully automated treatment planning processes…
cs.CV2019★ 4 cited
Difficulty-aware Meta-learning for Rare Disease Diagnosis
Xiaomeng Li, Lequan Yu, Yueming Jin +3
Rare diseases have extremely low-data regimes, unlike common diseases with large amount of available labeled data. Hence, to train a neural network to classify rare diseases with a…