#TotalSegmentator
Running TotalSegmentator inside #syGlass for #3DThursday! 🔬 Automated segmentation needs strong clinical data for training and benchmarking, plus models that generalize. Mayo Clinic Low Dose CT Grand Challenge + #TotalSegmentator by Jakob Wasserthal are great examples.
#MedicalImaging #3DImaging
January 29, 2026 at 3:42 PM
Thrilled to announce that TotalSegmentator MRI has been published in Radiology @rsnasky.bsky.social

Check out the paper: doi.org/10.1148/radi...
And the editorial by #FelipeKitamura : doi.org/10.1148/radi...

#JakobWasserthal #RadSky #MedSky
February 19, 2025 at 9:47 PM
🎉 Honored to receive the 2025 Alexander R. Margulis Award for Scientific Excellence with our @Radiology @rsnasky.bsky.social article TotalSegmentator MRI 🎉

@JakobWasserthal University Hospital Basel @unibas.ch
September 27, 2025 at 1:54 PM
Tucker decomposition compression of #TotalSegmentator model reduces computational demand https://doi.org/10.1148/ryai.240353 @rsnasky.bsky.social #AI #ML #MachineLearning
March 29, 2025 at 11:15 PM
A clinical CT coloured by 117 TotalSegmentator labels. Hovering names the structure; skeleton, organs, vessels, nerves and muscles toggle as layers.

Demo: demos.luxarviewer.dev/d/gsplats_3...
September 23, 2026 at 8:48 AM
Post-training Network Compression for 3D Medical Image Segmentation: Reducing Computational Efforts via Tucker Decomposition https://doi.org/10.1148/ryai.240353 @rsnasky.bsky.social #TotalSegmentator #AI #ML
February 21, 2025 at 4:15 PM
#AorticAging

Sex-specific Aortic Geometric Atlas
Centile-Based Reference Charts and Pathological Signatures Across the Adult Lifespan

>63k

TotalSegmentator

Phenome-wide time-to-event analysis
155 phecodes x 28 aortic geometric phenotypes

#AortaEd
medRxiv 2026
www.medrxiv.org/content/10.6...
July 20, 2026 at 11:11 AM
April 1, 2025 at 7:15 PM
Happy to hear that! Thank you for featuring the TotalSegmentator MRI!
February 19, 2025 at 10:02 PM
Explore a curated selection of high-impact research from RSNA’s world-class journals. The Radiology Editors’ Choice article, TotalSegmentator MRI: Robust Sequence-independent Segmentation of Multiple Anatomic Structures in MRI, is the Alexander R. Margulis Award winner. https://bit.ly/4reiHky
November 24, 2025 at 5:08 PM
Can the computational effort of 3D CT-based multiorgan segmentation with TotalSegmentator be reduced via Tucker decomposition-based network compression? https://doi.org/10.1148/ryai.240353 @rsnasky.bsky.social #UltraCon2025 #ultrasound #USRad #radiology
March 31, 2025 at 7:15 PM
Gonna see if I can 3d print my ruptured appendix. Will TotalSegmentator give me high enough detail, or will I have to do my own segmentation? These are the questions of our times.
(Look, you have your coping strategies, I have mine.)
August 11, 2023 at 9:24 PM
Tucker decomposition compression of #TotalSegmentator model reduces computational demand https://doi.org/10.1148/ryai.240353 @LMU_Radiology #AI #ML #MachineLearning
January 25, 2025 at 10:15 PM
Does network compression for segmentation CNNs using Tucker-decomposed layers really work? https://doi.org/10.1148/ryai.240353 @rsnasky.bsky.social #TotalSegmentator #RadCT #AI
April 4, 2025 at 3:15 PM
Case of the Day - 063 - 2025 07 03 - Reconstructing and Segmenting Sequestration

29-years old - sequestration.

The video - reconstruction, segmentation

YouTube video link
youtu.be/Lh6lJr4tgtY

#caseoftheday #sequestration #ctchest
#TotalSegmentator #3Dslicer
July 4, 2025 at 1:26 AM
The authors evaluated the performance of open-source deep learning-based lung lobe segmentation tools, compared to a similar nnU-Net model training on a smaller but more representative clinical dataset (Elaheh Amini & Ran Klein)

#EuropeanRadiologyExperimental

buff.ly/xkvU1lb
Lung lobe segmentation: performance of open-source MOOSE, TotalSegmentator, and LungMask models compared to a local in-house model - European Radiology Experimental
Background Lung lobe segmentation is required to assess lobar function with nuclear imaging before surgical interventions. We evaluated the performance of open-source deep learning-based lung lobe…
buff.ly
September 22, 2025 at 1:02 PM
TotalSegmentator method now predicts body weight, height, age, sex from CT/MRI in under 30 seconds on CPU, enabling rapid automated patient metadata extraction.
Jakob Wasserthal (@JakobWasserthal) on X
TotalSegmentator method now predicts body weight, height, age, sex from CT/MRI in under 30 seconds on CPU, enabling rapid automated patient metadata extraction.
x.com
September 5, 2026 at 2:03 PM
Case of the Day - 191 - Effortless Segmentation - The AI We Want

41-years old treated for sigmoid colon carcinoma came for a PET/CT.

The video describes the use of the Totalsegmentator plugin in Osirix MD

This is the kind of AI we want.

Full Video
youtu.be/gSXr5N1OQ6w
April 10, 2026 at 12:27 PM
Data & Tool references: Moen et al., 2021 (Low Dose CT Dataset, TCIA); Wasserthal et al., 2023 (TotalSegmentator)
January 29, 2026 at 3:43 PM
May 30, 2026 at 12:41 AM
by models like nnU-Net, TotalSegmentator, and MedSAM. Our results show that while higher-quality labels improve in-domain performance, gains remain unclear if below a small threshold. For pre-training, label quality has minimal impact, suggesting that [2/3 of https://arxiv.org/abs/2505.20928v1]
May 28, 2025 at 6:07 AM
diabetes). Recently, three publicly available tools, such as MRSegmentator (MRSeg), TotalSegmentator MRI (TS), and TotalVibeSegmentator (VIBE), have been proposed for multi-organ segmentation in MRI. However, the performance of these tools on specific [2/5 of https://arxiv.org/abs/2504.07729v1]
April 11, 2025 at 6:02 AM
TotalSegmentator models and the ability to integrate Segment Anything Model (SAM) and other large-scale segmentation networks, this approach offers significant advantages. It provides robust, scalable, and efficient solutions for multimodal image [4/7 of https://arxiv.org/abs/2503.24121v1]
April 2, 2025 at 6:27 AM
TotalSegmentator models and the ability to integrate Segment Anything Model (SAM) and other large-scale segmentation networks, this approach offers significant advantages. It provides robust, scalable, and efficient solutions for multimodal image [4/7 of https://arxiv.org/abs/2503.24121v1]
April 1, 2025 at 6:32 AM
it elevate multi-scale representation learning? Is complex scanning necessary to unlock its full potential? We evaluate Mamba's performance across three large public benchmarks-AMOS, TotalSegmentator, and BraTS. Our findings reveal that UlikeMamba, a [3/8 of https://arxiv.org/abs/2503.19308v1]
March 26, 2025 at 5:59 AM