Head and neck tumors (HNTs) constitute a multifaceted ensemble of pathologies that
primarily involve regions such as the oral cavity, pharynx, and nasal cavity. The intricate …

Considerable interest is being directed toward combining immune-checkpoint inhibition (ICI)
with radiotherapy to improve response rates to ICI, which have been disappointingly low at …

Deep learning-based methods have recently demonstrated promising results in deformable
image registration for a wide range of medical image analysis tasks. However, existing deep …

Image registration and fusion algorithms exist in almost every software system that creates
or uses images in radiotherapy. Most treatment planning systems support some form of …

This paper presents a review of automated image registration methodologies that have been
used in the medical field. The aim of this paper is to be an introduction to the field, provide …

Many microscopic investigations of materials may benefit from the recording of multiple
successive images. This can include techniques common to several types of microscopy …

We propose an efficient non-parametric diffeomorphic image registration algorithm based on
Thirion's demons algorithm. In the first part of this paper, we show that Thirion's demons …

<? Pub Dtl=""?> EMPIRE10 (Evaluation of Methods for Pulmonary Image REgistration 2010)
is a public platform for fair and meaningful comparison of registration algorithms which are …

The number of imaging data sets has significantly increased during radiation treatment after
introducing a diverse range of advanced techniques into the field of radiation oncology. As a …

Expert landmark correspondences are widely reported for evaluating deformable image
registration (DIR) spatial accuracy. In this report, we present a framework for objective …