Spatial partitioning methods correct for nonstationarity in spatially related data by
partitioning the space into regions of local stationarity. Existing spatial partitioning methods …

Multi‐parametric magnetic resonance imaging (mpMRI) has been playing an increasingly
important role in the detection of prostate cancer (PCa). Various computer‐aided detection …

Background: Prostate cancer is a leading cause of death among men who do not participate
in a screening programme. MRI forms a possible alternative for prostate analysis of a higher …

Current protocols to estimate the number, size, and location of cancerous lesions in the
prostate using multiparametric magnetic resonance imaging (mpMRI) are highly dependent …

This work seeks to evaluate multiple methods for quantitative parameter estimation from
standard T 2 mapping acquisitions in the prostate. The T 2 estimation performance of …

A semi-automated method based on a U-Net 3+ network, for the segmentation of brain
metastases (BM) lesions is proposed and evaluated on Magnetic Resonance (MRI) images …

The development of a multidisciplinary team approach with group discussions, workflows to
integrate and correlate clinical, imaging and histological data, as well as feedback and audit …

Manual protocols to predict the number, size, and location of cancerous lesions in the
prostate using imaging data are highly dependent on reader experience and expertise …

Multi-parametric magnetic resonance imaging (mpMRI) plays an increasingly important role
in the diagnosis of prostate cancer. Various computer-aided detection algorithms have been …

It is important to not only identify prostate cancer (PCa) when it is present, but also to
determine the aggressiveness of PCa. In this work, we developed a novel two-stage …