Artificial intelligence (AI) has recently become a very popular buzzword, as a consequence
of disruptive technical advances and impressive experimental results, notably in the field of …

Inverse optimization describes a process that is the “reverse” of traditional mathematical
optimization. Unlike traditional optimization, which seeks to compute optimal decisions given …

Purpose To advance fair and consistent comparisons of dose prediction methods for
knowledge‐based planning (KBP) in radiation therapy research. Methods We hosted …

The interest in machine learning (ML) has grown tremendously in recent years, partly due to
the performance leap that occurred with new techniques of deep learning, convolutional …

Purpose To investigate the effect of data quality and quantity on the performance of deep
learning (DL) models, for dose prediction of intensity-modulated radiotherapy (IMRT) of …

Purpose Automated treatment planning strategies are being widely implemented in clinical
routines to reduce inter‐planner variability, speed up the optimization process, and improve …

Abstract Background Intensity‐Modulated Radiation Therapy (IMRT) has been the standard
of care for many types of tumors. However, treatment planning for IMRT is a time‐consuming …

Modern radiotherapy treatment planning is a complex and time-consuming process that
requires the skills of experienced users to obtain quality plans. Since the early 2000s, the …

Background In recent years, with the development of artificial intelligence and deep learning
techniques, it has become possible to predict the three‐dimensional distribution dose (3D3) …

Objective. To propose a novel moment-based loss function for predicting 3D dose
distribution for the challenging conventional lung intensity modulated radiation therapy …