Background Currently, only a fraction of patients with non-small cell lung cancer (NSCLC)
treated with immune checkpoint inhibitors (ICIs) experience a durable clinical benefit (DCB) …

Spam, the Software for the Practical Analysis of Materials is a Python library that has evolved
to cover needs of data analysis from 3D x-ray tomography work and correlated random fields …

Using deep learning models to diagnose cancer from histology data presents several
challenges. Cancer grading and localization of regions of interest (ROIs) in these images …

Biological systems present multiple scales of complexity, ranging from molecules to entire
populations. Light microscopy is one of the least invasive techniques used to access …

Objective Understanding the three-dimensional (3D) spatial position and orientation of
vessels and tumor (s) is vital in laparoscopic liver resection procedures. Augmented reality …

The marmoset is an emerging animal model for large‐scale attempts to understand primate
brain connectivity, but achieving this aim requires the development and validation of …

Many research applications of neuroimaging use magnetic resonance imaging (MRI). As
such, recommendations for image analysis and standardized imaging pipelines exist …

Extracting brain parenchyma from computed tomography (CT) images of the head is an
important prerequisite step in a number of image processing applications, as it improves the …

Objectives Rigid image registration (RIR) and deformable image registration (DIR) are
widely used in radiotherapy. This project aims to capture current international approaches to …

Purpose To develop an accelerated cardiac perfusion pulse sequence and test whether it is
capable of increasing spatial coverage, generating high‐quality images, and enabling …