S
Steffi Thust
Researcher at UCL Institute of Neurology
Publications - 5
Citations - 108
Steffi Thust is an academic researcher from UCL Institute of Neurology. The author has contributed to research in topics: Radiation treatment planning & Radiation therapy. The author has an hindex of 3, co-authored 5 publications receiving 70 citations. Previous affiliations of Steffi Thust include University College London.
Papers
More filters
Journal ArticleDOI
Texture analysis- and support vector machine-assisted diffusional kurtosis imaging may allow in vivo gliomas grading and IDH-mutation status prediction: a preliminary study
Sotirios Bisdas,Haocheng Shen,Steffi Thust,Vasileios K. Katsaros,Vasileios K. Katsaros,George Stranjalis,Christos Boskos,Christos Boskos,Sebastian Brandner,Jianguo Zhang +9 more
TL;DR: Findings demonstrate the superiority of DKI enhanced by texture analysis and SVM, compared to conventional imaging, for gliomas staging and prediction of IDH mutational status.
Journal ArticleDOI
A modality-adaptive method for segmenting brain tumors and organs-at-risk in radiation therapy planning.
Mikael Agn,Per Munck af Rosenschöld,Oula Puonti,Michael Lundemann,Laura Mancini,Anastasia Papadaki,Steffi Thust,John Ashburner,Ian Law,Koen Van Leemput +9 more
TL;DR: In this paper, a contrast-adaptive generative model for whole-brain segmentation with a new spatial regularization model of tumor shape using convolutional restricted Boltzmann machines is presented.
Journal ArticleDOI
From research to clinical practice: a European neuroradiological survey on quantitative advanced MRI implementation.
Elia Manfrini,Elia Manfrini,Marion Smits,Marion Smits,Steffi Thust,Steffi Thust,Sergej Geiger,Zeynep Bendella,Jan Petr,Laszlo Solymosi,Vera C. Keil,Vera C. Keil +11 more
TL;DR: In this paper, a survey was created to illuminate which and how qMRI techniques are currently applied across Europe, and the most frequent usage indications for any qMRI technique were tissue differentiation (82.4%, n = 224) and oncological monitoring (72.8%), but 50.0% (n = 136) are in need of better technology, 34.9% wish for more communication, and 31.3% need help with result interpretation/generation, while QIBA and EIBALL were not well known.
Journal ArticleDOI
The role of diffusion tensor imaging for non-invasive IDH phenotyping in gliomas.
Diana Roettger,Jialin Yuan,Laura Mancini,Steffi Thust,Sebastian Brandner,Jeremy Rees,Andrew W. McEvoy,Sotirios Bisdas +7 more
TL;DR: This research explored whether diffusion tensoricity in the Isocitrate dehydrogenase mutant type gliomas is associated with better prognosis compared to IDH wild-type glioma.
Posted Content
A Modality-Adaptive Method for Segmenting Brain Tumors and Organs-at-Risk in Radiation Therapy Planning
Mikael Agn,Per Munck af Rosenschöld,Oula Puonti,Michael Lundemann,Laura Mancini,Anastasia Papadaki,Steffi Thust,John Ashburner,Ian Law,Koen Van Leemput +9 more
TL;DR: In this article, a contrast-adaptive generative model for whole-brain segmentation with a new spatial regularization model of tumor shape using convolutional restricted Boltzmann machines is presented.