We present DeepVesselNet, an architecture tailored to the challenges faced when extracting
vessel trees and networks and corresponding features in 3-D angiographic volumes using …

Vertebral labelling and segmentation are two fundamental tasks in an automated spine
processing pipeline. Reliable and accurate processing of spine images is expected to benefit …

Magnetic resonance imaging (MRI) is an important imaging modality in stroke. Computer
based automated medical image processing is increasingly finding its way into clinical routine. …

Objectives Although automated glioma segmentation holds promise for objective assessment
of tumor biology and response, its routine clinical use is impaired by missing sequences, …

In this paper we report the challenge set-up and results of the Large Scale Vertebrae
Segmentation Challenge (VerSe) organized in conjunction with the MICCAI 2019. The challenge …

Background Stereotactic radiotherapy is a standard treatment option for patients with brain
metastases. The planning target volume is based on gross tumor volume (GTV) segmentation…

Nucleosomes, the fundamental units of chromatin, regulate readout and expression of
eukaryotic genomes. Single-molecule experiments have revealed force-induced nucleosome …

Generative adversarial networks (GANs) can synthesize high-contrast MRI from lower-contrast
input. Targeted translation of parenchymal lesions in multiple sclerosis (MS), as well as …

Single-nucleotide polymorphisms and locus amplification link the NF-κB transcription factor
c-Rel to human autoimmune diseases and B cell lymphomas, respectively. However, the …

With the increasing availability of observational data from different sources at a global level,
joint analysis of these data is becoming especially attractive. For such an analysis – …