Best article in "Radiology": Segmentation tool for MRI receives prestigious Margulis Award
The publication on total segmentator MRI was recognized by the Radiological Society of North America as the most important scientific article of the year. The team led by Dr. Tugba Akinci D'Antonoli and Dr. Jakob Wasserthal (Fellow and Research Associate in Radiology at the University Hospital Basel), who received the prestigious Margulis Award 2025 , developed and evaluated the tool for the automatic and rapid segmentation of MRI images.
2025-10-07, 14:52
With the new award, now presented by the Radiological Society of North America (RSNA ) with the prestigious Alexander R. Margulis Award for Scientific Excellence 2025MRI (Magnetic Resonance Imaging) tool, 80 anatomical structures can be segmented reliably, quickly and automatically - regardless of the MR sequence. The ready-to-use, freely accessible Total Segmentator MRI model was trained and evaluated on 1143 scans for all structures that are relevant in the clinic for organ volume determination, disease characterization, surgical planning and screening.
By analyzing MRI scans faster and more accurately, the Total Segmentator MRI improves MR diagnostics and treatment planning. The decisive factor for the recognition as the best scientific article in Radiology (the most important journal on radiology with an impact factor of 15.2) in 2025 and the award for the team led by Dr. Tugba Akinci D'Antonoli and Dr. Jakob Wasserthal (assistant physician and fellow and research associate at the Department of Radiology and Nuclear Medicine at the USB), are the novelty, quality, significance and potential scientific and clinical impact of this scientific achievement, according to RSNA. The Margulis Award will be presented on December 1 at the RSNA Annual Meeting in Chicago.
The Total Segmentator MRI follows on from the success of the Total Segmentator CT,the computed tomography (CT) model also developed by radiologists at the USB. The study on the Total Segmentator CT is the most frequently cited article (over 1500 times) in the equally high-ranking journal Radiology: Artificial Intelligence (impact factor 13.2). The article on Total Segmentator MRI has also been cited over 80 times and is the subject of numerous reports (see below).
The Total Segment ator is not only cited, but also used. It has established itself as a clinical tool for identifying and analyzing anatomical classes. Since August 2022, the two models of the Total Segment ator have been installed over 500,000 times worldwide and are used over 200,000 times a day.
Current number (over 500,000) of Total Segmentator (CT and MRI) installations
Dr. Jakob Wasserthal and Dr. Tugba Akinci D'Antonoli