NEWS AND PRESS

Published in Life (2023), 13(1):16 Authors Bruno, F., Tommasino, E., Catalucci, A., Pastorelli, C., Borea, F., Caldarelli, G., Bellini, M., Badini, P., Mancini, S., Santobuono, C., et al. Abstract The purpose of the study is to quantify volumetric variations of cortical and subcortical brain structures after Vim ablation using MRgFUS, and

Published in Diagnostics (2023) Authors Bendella, Z., Widmann, C.N., Layer, J.P., Layer, Y.L., Haase, R., Sauer, M., Bieler, L., Lehnen, N.C., Paech, D., Heneka, M.T., Radbruch, A., Schmeel, F.C. Abstract Cohort studies that quantify volumetric brain data among individuals with different levels of COVID-19 severity are presently limited. It is

Published in American Journal of Neuroradiology (2022) Authors N.C. Lehnen, R. Haase, F.C. Schmeel, H. Vatter, F. Dorn, A. Radbruch and D. Paech Abstract Background and Purpose Cerebral aneurysms yield the risk of rupture, severe disability and death. Thus, early detection of cerebral aneurysms is crucial to ensure timely treatment, if necessary. AI-based software tools are expected to

Presented at Clinical Neuroradiology, 31(Supplement 1), 40-41. (2021) Authors Aruci, M., Dünnwald, M., Schreiber, F., Sciarra, A., Maass, A., Schreiber, S., Oeltze-Jafra, S. Abstract Purpose White matter hyperintensities of presumed vascular origin (WMH), a hallmark feature of cerebral small vessel disease (CSVD), are FLAIR/T2-hyperintense lesions that predict various clinical readouts,

Published in Radiologie up2date 2022; 22 (2): 121–136 (2022) Authors M.-L. Kromrey, S. Grothe, C. Nell, B. Rosenberg Abstract Due to the enormous amount of digital data clinical radiology is highly suitable for the successful operation of artificial intelligence (AI). AI is a rather diffuse term, which describes the ability

Published in Frontiers in Neuroscience (2022) Authors Dalbis T., Fritz T., Grilo J., Hitziger S., Ling W. X. Abstract We present a deep learning method for the segmentation of new lesions in longitudinal FLAIR MRI sequences acquired at two different time points. In our approach, the 3D volumes are processed

Presented at Congress of the European Society of Radiology (2022) Authors Albert J., Fernandez M., Thauerer M., Egger K., Gärtner F., Peters S., Hock S., Trautmann D., Opalka J. Abstract Purpose To assess whether the AI-based system mdbrain leads to efficiency gains when used in a real-life setting.   Materials

Presented at Congress of the European Society of Radiology (2022) Authors Dalbis T., Grilo J., Hitziger S., Ling W. X., Opalka J., Lemke A. Abstract Purpose The diagnosis of multiple sclerosis (MS) requires the assessment of lesion load from brain MRIs. Traditionally, MS lesions are manually annotated by radiologists, a process

Presented at Swiss Congress of Radiology (2022) Authors Klail T., Radojewski P. Abstract Purpose Small incidental aneurysms represent a clinical challenge, since it is often difficult to distinguish them other structures (e.g. infundibulary branch) using standard field strengths (1.5/3T MRI). The diagnostic gold standard in form of digital subtraction angiography

Veröffentlicht in Clinical Neuroradiology, 31(Supplement 1), 29-30. (2021) Autoren A.-L. Mayer, A. Mennecke, S. W. Hock, D. Marterstock, J. Rösch, H. Hamer, B. Kasper, A. Dörfer, M. Schmidt Abstract Ziel der Studie Die automatisierte Berechnung des Hirnvolumens aus MRT-3D-Datensätzen erlaubt eine zeitsparende quantitative Beurteilung des Hirnvolumens in der klinischen Befundungsroutine.