Image-guided radiooncology: the potential of radiomics in clinical application

JC Peeken, B Wiestler, SE Combs - Molecular imaging in oncology, 2020 - Springer
Medical imaging plays an imminent role in today's radiation oncology workflow.
Predominantly based on semantic image analysis, malignant tumors are diagnosed, staged …

Deep learning derived tumor infiltration maps for personalized target definition in Glioblastoma radiotherapy

JC Peeken, M Molina-Romero, C Diehl… - Radiotherapy and …, 2019 - Elsevier
Purpose Glioblastoma is routinely treated by concomitant radiochemotherapy. Current target
definition guidelines use anatomic MRI (magnetic resonance imaging) scans, taking into …

Predicting glioblastoma recurrence from preoperative MR scans using fractional-anisotropy maps with free-water suppression

MC Metz, M Molina-Romero, J Lipkova, J Gempt… - Cancers, 2020 - mdpi.com
Diffusion tensor imaging (DTI), and fractional-anisotropy (FA) maps in particular, have
shown promise in predicting areas of tumor recurrence in glioblastoma. However, analysis …

The Role of Multimodal Imaging in Differentiating Vasogenic from Infiltrative Edema: A Systematic Review

A Hasanzadeh, HS Moghaddam… - Indian Journal of …, 2023 - thieme-connect.com
Background High-grade gliomas (HGGs) are the most prevalent primary malignancy of the
central nervous system. The tumor results in vasogenic and infiltrative edema. Exact …

Analyzing the effects of free water modeling by deep learning on diffusion MRI structural connectivity estimates in glioma patients

L Weninger, CH Na, K Jütten, D Merhof - PLoS One, 2020 - journals.plos.org
Diffusion-weighted MRI makes it possible to quantify subvoxel brain microstructure and to
reconstruct white matter fiber trajectories with which structural connectomes can be created …

Comprehensive brain tumour characterisation with VERDICT-MRI: evaluation of cellular and vascular measures validated by histology

M Figini, A Castellano, M Bailo, M Callea, M Cadioli… - Cancers, 2023 - mdpi.com
Simple Summary VERDICT (Vascular, Extracellular, and Restricted DIffusion for Cytometry
in Tumours) is a diffusion MRI framework for the characterisation of different components of …

Free-water correction in diffusion mri: a reliable and robust learning approach

L Weninger, S Koppers, CH Na, K Juetten… - … Diffusion MRI: MICCAI …, 2020 - Springer
In clinical settings, diffusion MRI can be used for extracting biomarkers such as fractional
anisotropy or for revealing brain connectivity based on fiber tractography. Both are impacted …

Unmixing tissue compartments via deep learning T1-T2-relaxation correlation imaging

S Endt, CM Pirkl, CM Verdun… - 17th International …, 2021 - spiedigitallibrary.org
Magnetic resonance imaging is a versatile diagnostic tool with numerous clinical
applications. However, despite advances towards higher resolutions, it cannot resolve …

Deep Learning-based analysis of Diffusion MRI image data from multicenter studies and from glioma patients

LD Weninger, S Müller, D Merhof - 2023 - publications.rwth-aachen.de
Diffusions-MRT ist die einzige nicht-invasive und nicht-schädigende Neuroimaging-
Methode zur Untersuchung der In-vivo-Mikroarchitektur und der strukturellen Konnektivität …

Learning-based free-water correction using single-shell diffusion MRI

T Yao, DB Archer, P Kanakaraj… - Medical Imaging …, 2024 - spiedigitallibrary.org
Diffusion magnetic resonance imaging (dMRI) offers the ability to assess subvoxel brain
microstructure through the extraction of biomarkers like fractional anisotropy, as well as to …