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Marc-André Weber

Researcher at University Hospital Heidelberg

Publications -  338
Citations -  8600

Marc-André Weber is an academic researcher from University Hospital Heidelberg. The author has contributed to research in topics: Magnetic resonance imaging & Neuroradiology. The author has an hindex of 45, co-authored 307 publications receiving 7223 citations. Previous affiliations of Marc-André Weber include German Cancer Research Center & Heidelberg University.

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Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Spyridon Bakas, +438 more
- 05 Nov 2018 - 
TL;DR: This study assesses the state-of-the-art machine learning methods used for brain tumor image analysis in mpMRI scans, during the last seven instances of the International Brain Tumor Segmentation (BraTS) challenge, i.e., 2012-2018, and investigates the challenge of identifying the best ML algorithms for each of these tasks.
Journal ArticleDOI

Prognostic Significance of Focal Lesions in Whole-Body Magnetic Resonance Imaging in Patients With Asymptomatic Multiple Myeloma

Jens Hillengass, +13 more
- 20 Mar 2010 - 
TL;DR: Use of wb-MRI for risk stratification of patients with asymptomatic multiple myeloma is recommended and the presence per se of FLs and a number of greater than one FL were the strongest adverse prognostic factors for progression into sMM in multivariate analysis.
Journal ArticleDOI

Sodium MRI using a density-adapted 3D radial acquisition technique

Armin M. Nagel, +5 more
- 01 Dec 2009 - 
TL;DR: It is shown that the density‐adapted three‐dimensional radial projection reconstruction pulse sequence allows higher resolutions and is more robust in the presence of field inhomogeneities, and benefits for low SNR applications, when compared to conventional three‐ dimensional projection reconstruction sequences.
Book ChapterDOI

A generative model for brain tumor segmentation in multi- modal images

Bjoern H. Menze, +5 more
TL;DR: A generative probabilistic model for segmentation of tumors in multi-dimensional images allows for different tumor boundaries in each channel, reflecting difference in tumor appearance across modalities.
Journal ArticleDOI

3D radial projection technique with ultrashort echo times for sodium MRI: Clinical applications in human brain and skeletal muscle

Sonia Nielles-Vallespin, +9 more
- 01 Jan 2007 - 
TL;DR: In patients with an identified muscular 23Na channelopathy (Paramyotonia congenita (PC)), induced muscle weakness led to a signal increase of ∼18% in the 23Na MR images, which was attributed to intracellular Na+ accumulation in this region.