Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
662-01-008 ISMRM Abstract

Classification of Temporal Lobe Epilepsy from Quantitative Multiparametric MRI with a 3D Convolutional Neural Network

Primary: Analysis Methods - Classification and Prediction
Secondary: Neuro - Epilepsy
662-01-008 · Advanced Quantitative and Diffusion MRI for Epilepsy: From Lesion Detection to Clinical Translation · Thursday, 14 May, 8:30 AM–9:25 AM · Digital Posters Row C
Accepted
Alfonso Mastropietro1, Nicola Casali 1, Ludovica M Aghilar1, Alessandro Brusaferri1, Martina Baroffio2, Valeria Cuccarini3, Paolo Vitali4, Stefano Meletti5, Anna E Vaudano5, Laura Tassi6, Fulvia Palesi7, Federica Mazzi3, Giuseppe Didato8, Giuseppe Baselli1,2, Giovanna Rizzo1, Domenico Aquino3
1Istituto di Sistemi e Tecnologie Industriali Intelligenti per il Manifatturiero Avanzato, Consiglio Nazionale delle Ricerche, Milano, Italy
2Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milano, Italy
3Neuroradiology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milano, Italy
4Dipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano, Milan, Italy
5Dipartimento di Scienze Biomediche, Metaboliche e Neuroscienze, Università degli Studi di Modena e Reggio Emilia, Modena, Italy
6“Claudio Munari” Epilepsy Surgery Center, ASST Niguarda Hospital, Milano, Italy
7Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
8U.O. Epilettologia e Clinica Sperimentale, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milano, Italy
Presenting Author: Nicola Casali

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References

1. J. F. Téllez-Zenteno and L. Hernández-Ronquillo, “A review of the epidemiology of temporal lobe epilepsy,” Epilepsy Research and Treatment, vol. 2012, 2012.
2. Kaestner, E., Hassanzadeh, R., Gleichgerrcht, E., Hasenstab, K., Roth, R. W., Chang, A., ... & McDonald, C. R. (2024). Adding the third dimension: 3D convolutional neural network diagnosis of temporal lobe epilepsy. Brain Communications, 6(5), fcae346.
3. Gleichgerrcht, Ezequiel, et al. "Redefining diagnostic lesional status in temporal lobe epilepsy with artificial intelligence." Brain 148.6 (2025): 2189-2200.
4. Helms G., Dathe H., Dechent P. Quantitative FLASH MRI at 3T using a rational approximation of the Ernst equation, Magnetic Res-onance in Medicine, 2008, doi:10.1002/mrm.21542. https://doi.org/10.1002/mrm.21542 [doi]
5. Chen, Sihong, Kai Ma, and Yefeng Zheng. "Med3d: Transfer learning for 3d medical image analysis." arXiv preprint arXiv:1904.00625 (2019).
6. Loshchilov, Ilya, and Frank Hutter. "Decoupled weight decay regularization." arXiv preprint arXiv:1711.05101 (2017).
7. Lakshminarayanan, Balaji, Alexander Pritzel, and Charles Blundell. "Simple and scalable predictive uncertainty estimation using deep ensembles." Advances in neural information processing systems 30 (2017).
8. Selvaraju, Ramprasaath R., et al. "Grad-cam: Visual explanations from deep networks via gradient-based localization." Proceedings of the IEEE international conference on computer vision. 2017.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/662-01-008