Matthias W. Wagner

Magnetic Resonance Imaging–Based Grading of Cartilaginous Bone Tumors: Added Value of Quantitative Texture Analysis

C. Pfirrmann, R. Sutter, M. Wurnig, 2018, Investigative radiology.

Radiomics of liver MRI predict metastases in mice

M. Wurnig, A. Boss, A. Becker, 2018, European Radiology Experimental.

Diffusion‐weighted imaging of the abdomen: Impact of b‐values on texture analysis features

Andreas Boss, Anton S Becker, Moritz C Wurnig, 2017, NMR in biomedicine.

MRI texture features may predict differentiation and nodal stage of cervical cancer: a pilot study

P. Khong, M. Wurnig, A. Boss, 2017, Acta radiologica open.

Texture analysis of acute myocardial infarction with CT: First experience study

H. Alkadhi, R. Manka, B. Seifert, 2017, PloS one.

Diagnostic performance of machine learning applied to texture analysis-derived features for breast lesion characterisation at automated breast ultrasound: a pilot study

M. Wurnig, A. Boss, T. Frauenfelder, 2019, European Radiology Experimental.

Histogram Analysis of Diffusion Tensor Imaging Parameters in Pediatric Cerebellar Tumors

T. Huisman, A. Poretti, T. Bosemani, 2016, Journal of neuroimaging : official journal of the American Society of Neuroimaging.

MRI texture analysis for differentiation of malignant and benign hepatocellular tumors in the non-cirrhotic liver

M. Wurnig, A. Boss, D. Raptis, 2018, Heliyon.

A novel GAN-based paradigm for weakly supervised brain tumor segmentation of MR images

U. Tabori, F. Khalvati, Matthias W. Wagner, 2022, ArXiv.