PUBLICATIONS

For us, our principle "Shaping the future of radiology together" also means actively participating in the scientific discussion.

Are you interested in a scientific cooperation? Do not hesitate to contact us.

mdbrain
This study evaluates the clinical value of a deep learning–based artificial intelligence (AI) system that performs rapid brain volumetry with automatic lobe segmentation and age- and sex-adjusted percentile comparisons....
Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring
mdprostate
This study aims to evaluate the diagnostic performance of a commercial, fully-automated, artificial intelligence (AI) driven software tool in identifying and grading prostate lesions in prostate MRI, using histopathological findings as the reference standard, while contextualizing its performance within the...
European Journal of Radiology
mdbrain
The aim of our study was to assess the diagnostic performance of commercially available AI software for intracranial aneurysm detection and to determine if the AI system enhances the radiologist’s accuracy in identifying aneurysms and reduces image analysis time....
Neuroradiology
mdbrain
Multiple Sclerosis (MS) is a common autoimmune disease of the central nervous system. MRI plays a crucial role in diagnosing as well as in disease and treatment monitoring. Therefore, evaluation of cerebral MRI of MS patients is part of daily...
European Journal of Radiology
mdbrain
The aim of this study was to employ artificial intelligence (AI)-based magnetic resonance imaging (MRI) brain volumetry to potentially distinguish between idiopathic normal pressure hydrocephalus (iNPH), Alzheimer’s disease (AD), and age- and sex-matched healthy controls (CG) by evaluating cortical, subcortical,...
Diagnostics
mdbrain
Automatic lesion counting and volumetry is feasible with both 2D- and 3D-weightend FLAIR images. Still, it leads to partly significant differences even between two sequences that both are conform to the 2021 MAGNIMS-CMSC NAIMS consensus recommendations....
Multiple Sclerosis and Related Disorders
mdbrain
The purpose of this study was to explore the effects of the integration of machine learning into daily radiological diagnostics, using the example of the machine learning software mdbrain® (Mediaire GmbH, Germany) in the diagnostic MRI workflow of patients with...
Healthcare
mdbrain
The aim of this study was to investigate brain atrophy in patients with confirmed, progressed Huntington's disease using a certified software for automated volumetry and to compare the results with the manual measurement methods used in clinical practice as well...
Sci Rep
mdbrain
To evaluate the impact of an AI-based software trained to detect cerebral aneurysms on TOF-MRA on the diagnostic performance and reading times across readers with varying experience levels....
Diagnostic Neuroradiology

Published in Brain Communications, Volume 5, Issue 6, 2023 Authors Purrer, V., Pohl, E., Lueckel, J. M., Borger, V., Sauer, M., Radbruch, A., Wüllner, U., Schmeel, F. C. Abstract Essential tremor and Parkinson’s disease patients may present with various tremor...

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...

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...

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...

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...

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)....

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...

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...

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....

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)....

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...

Published in Clinical Neuroradiology, 31(Supplement 1), 41-42. (2021) Authors S. W. Hock, D. C. Marterstock, A.-L- Mayer, C. Bettray, K. Huhn, V. Rothhammer, A. Dörfler, M. Schmidt Abstract Purpose Artificial intelligence (AI) algorithms have already had a major impact on...

Published in Clinical Neuroradiology, 31(Supplement 1), 21-22. (2021) Authors J. Rudolph, J. Rückel, J. Döpfert, X. Ling, J. Opalka, C. Brem et al. Abstract Purpose Brain volumetry is a key aspect in dementia diagnostics. We applied an artificial intelligence (AI)...

Published in MAGMA Vol. 34(4) Pp: 487–497 (2021) Authors M. Dieckmeyer, A. Guha Roy, J. Senapati, C. Wachinger, L. Grundl, J. Döpfert, P. Ferrera Bertran, A. Lemke, C. Zimmer, J. S. Kirschke, D. M. Hedderich Abstract Objectives To investigate the...

Presented at European Society of Radiology (2021) Authors J. Meissner, P. Mann, H. Michaely, J. Opalka, A. Lemke Abstract Purpose To quantify the performance of a new Deep Learning (DL)-based algorithm in differentiating Progressive Supranuclear Palsy (PSP) patients from healthy...

Veröffentlicht in Fortschr Röntgenstr; 193: S25. (2021) Autoren L. Krause, N. Lummel, T. Baum, M. Röttinger, I. Kleiter, M. Notohamiprodjo Abstract Ziel der Studie Vergleich von zwei Software-Lösungen zur automatisierten Quantifizierung des Hirn- und Läsionsvolumens bei Multiple-Sklerose-Patienten. Materialen & Methoden...

Presented at Congress of the European Society of Radiology (2022) Authors Opalka J., Ferrera Bertran P., Lemke A. Abstract Purpose To test and compare the repeatability and diagnostic accuracy of different academic and commercial brain volumetry solutions with different methodologies...

Automated Detection of Cerebral Aneurysms on TOF-MRA Using a Deep Learning Approach: An External Validation Study

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

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Artificial intelligence in radiology

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

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10965 Berlin, Germany

P +49 30 286 490 67
F +49 30 286 490 66

© 2022 mediaire GmbH