Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
368-02-009 ISMRM Abstract

Interactive Semi-Supervised Segmentation of Knee Cartilage and Menisci Using a Hybrid Prompted U-Net on 7T T2* MRI

Primary: Analysis Methods - Segmentation and Detection
Secondary: Musculoskeletal - Cartilage
368-02-009 · Segmentation for Musculoskeletal MRI Applications · Monday, 11 May, 9:15 AM–10:10 AM · Digital Posters Row I
Accepted
Eisa Hedayati1, Abdul Wahed Kajabi 2,3,4, Karsten Knutsen2,4,5, Collin Steinberger5,6, Abhinav Lamba5, Stefan Zbyn7, Asif Abul Hassan3,4,5,8, Hassan Ahad5, Jutta Ellermann2,3,4,5,9,10
1Radiology, Center for Magnetic Resonance Research (CMRR), Minneapolis, United States of America
2University of Minnesota, Minneapolis, United States of America
3Department of Radiology, Center for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, United States of America
4Center for Magnetic Resonance Research, Dept. of Radiology, University of Minnesota, Minneapolis, United States of America
5Center for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, United States of America
6Center for Magnetic Resonance Research, Minneapolis, United States of America
7Cleveland Clinic, Cleveland, United States of America
8Radiology, University of Minnesota, Minneapolis, United States of America
9Dept. of Radiology, Center for Magnetic Resonance Research, Dept. of Radiology, University of Minnesota, Minneapolis, United States of America
10Radiology, Center for Magnetic Resonance Research, Dept. of Radiology, University of Minnesota, Minneapolis, United States of America
Presenting Author: Abdul Wahed Kajabi

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References

1. Siddique, N., Sidike, P., Elkin, C., & Devabhaktuni, V. (2020). U-Net and its variants for medical image segmentation: theory and applications. arXiv preprint arXiv:2011.01118.
2. Cardoso, M. J., Li, W., Brown, R., Ma, N., Kerfoot, E., Wang, Y., ... & Feng, A. (2022). Monai: An open-source framework for deep learning in healthcare. arXiv preprint arXiv:2211.02701.
3. Brockschmidt, M. (2020, November). Gnn-film: Graph neural networks with feature-wise linear modulation. In International Conference on Machine Learning (pp. 1144-1152). PMLR.
4. Dice, L. R. (1945). Measures of the amount of ecologic association between species. Ecology, 26(3), 297-302.
5. Nakano, M., Takahashi, A., & Takahashi, S. (2017). Generalized exponential moving average (EMA) model with particle filtering and anomaly detection. Expert Systems with Applications, 73, 187-200.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/368-02-009