Artificial Intelligence (AI) is having a tremendous impact across most areas of science.
Applications of AI in healthcare have the potential to improve our ability to detect, diagnose …

Survival analysis is a critical task in glioma patient management due to the inter and intra
tumor heterogeneity. In clinical practice, clinicians estimate the survival with their …

Abstract The Advanced Normalizations Tools ecosystem, known as ANTsX, consists of
multiple open-source software libraries which house top-performing algorithms used …

Deep Learning (DL) has the potential to optimize machine learning in both the scientific and
clinical communities. However, greater expertise is required to develop DL algorithms, and …

We present a meta-learning framework for interactive medical image registration. Our
proposed framework comprises three components: a learning-based medical image …

Point cloud registration is an important task in computer vision and robotics which is widely
used in 3D reconstruction, target recognition, and other fields. At present, many registration …

Background and purpose Automation is desirable for organ segmentation in radiotherapy.
This study compared deep learning methods for auto-segmentation of organs-at-risk (OARs) …

Deformable image registration, the estimation of the spatial transformation between different
images, is an important task in medical imaging. Deep learning techniques have been …

In this work, we consider the task of pairwise cross-modality image registration, which may
benefit from exploiting additional images available only at training time from an additional …

Temporal echocardiography image registration is important for cardiac motion estimation,
myocardial strain assessments, and stroke volume quantifications. Deep learning image …