Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
469-06-003 ISMRM Abstract

MRI Radiomics-Based Multimodel Fusion for Diagnosis of Refractory Epilepsy

Primary: Neuro - Epilepsy
Secondary: Acquisition & Reconstruction - Image Reconstruction: Non-AI
469-06-003 · Radiomics: Applications · Tuesday, 12 May, 4:55 PM–5:50 PM · Digital Posters Row J
Keywords: Radiomics Machine learning (ML) Refractory epilepsy Multi-instance learning fusion
Accepted
Hanjiaerbieke Kukun1, Yuhui Xiong 2, Yuchen Liu3, Yunling Wang4
1The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
2GE HealthCare MR Research, Beijing, China
3GE Healthcare, Beijing, China
4Department of Radiology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
Presenting Author: Yuhui Xiong

Synopsis

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References

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2. Chormai P, Pu Y, Hu H, Fisher SE, Francks C, Kong XZ. Machine learning of large- scale multimodal brain imaging data reveals neural correlates of hand preference. Neuroimage 2022;262:119534.
3. Cook MJ, et al. Quantitative MRI in epilepsy: a review of current and emerging techniques. Epilepsia. 2021;62(4):817–831.
4. Kini LG, et al. Radiomic profiling of epileptogenic lesions: a systematic review. NeuroImage: Clinical. 2022;34:102987.
5. Bernasconi N, et al. Pattern of hippocampal shape and volume differences in controlled versus refractory temporal lobe epilepsy. Brain. 2004;127(Pt 5):1177–1185.
6. Pitkänen A, et al. The amygdala and epilepsy: implications for epileptogenesis and comorbidities. Epilepsia. 2020;61(Suppl 1):S30–S41.
7. Bonilha L, et al. Amygdala connectivity in temporal lobe epilepsy: evidence from resting-state fMRI. Epilepsy Res. 2012;100(3):193–200.
8. Ilse M, et al. Attention-based deep multiple instance learning. In: Proceedings of the 35th International Conference on Machine Learning (ICML). 2018;2127–2136.
9. Vickers AJ, Elkin EB. Decision curve analysis: a novel method for evaluating prediction models. Med Decis Making. 2006;26(6):565–574.
10. Lambin P, et al. Radiomics: the bridge between medical imaging and personalized medicine. Nat Rev Clin Oncol. 2017;14(12):749–762.
11. Chawla NV, et al. SMOTE: synthetic minority over-sampling technique. J Artif Intell Res. 2002;16:321–357.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/469-06-003