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| Article describing the CSA-ODF Description: I. Aganj, C. Lenglet, G. Sapiro, E. Yacoub, K. Ugurbil, and N. Harel, “Reconstruction of the orientation distribution function in single and multiple shell q-ball imaging within constant solid angle,” Magnetic Resonance in Medicine, vol. 64, no. 2, pp. 554–566, 2010. Updated: Oct 17, 2020 | |
| Article describing the Hough-transform tractography Description: I. Aganj, C. Lenglet, N. Jahanshad, E. Yacoub, N. Harel, P. Thompson, and G. Sapiro, “A Hough transform global probabilistic approach to multiple-subject diffusion MRI tractography,” Medical Image Analysis, vol. 15, no. 4, pp. 414–425, 2011. Updated: Oct 17, 2020 | |
| Article on spatial gradient estimation Description: I. Aganj, T. Feiweier, J. E. Kirsch, B. Fischl, and A. J. van der Kouwe, “Spatial image gradient estimation from the diffusion MRI profile,” Magnetic Resonance in Medicine, in press, 2026. Updated: Jan 24, 2026 | |
| Article on verification of the diffusion MRI gradient table Description: I. Aganj, “Automatic verification of the gradient table in diffusion-weighted MRI based on fiber continuity,” Scientific Reports, vol. 8, Article no. 16541, 2018. Updated: Oct 17, 2020 | |
| ISMRM Abstract on brain connectivity augmentation Description: I. Aganj, G. Prasad, P. Srinivasan, A. Yendiki, P. M. Thompson, and B. Fischl, “Structural brain network augmentation via Kirchhoff's laws,” in Proceedings of the Joint Annual Meeting of ISMRM-ESMRMB, Milan, Italy, 2014. Updated: Jun 26, 2021 | |
| ▼ Application Publications ( 5 ) | + |
| Paper on connectivity analysis in Alzheimer's disease Description: I. Aganj, J. Mora, A. Frau-Pascual, and B. Fischl, “Exploratory correlation of the human structural connectome with non-MRI variables in Alzheimer’s disease,” Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, 15:e12511, 2023. Updated: Jan 5, 2024 | |
| Paper on connectivity-based cortical registration Description: Z. Zhou, J. Li, J. Williams, B. Fischl, and I. Aganj, “Deep-learning cortical registration guided by structural and diffusion MRI and connectivity,” in Proc. IEEE International Symposium on Biomedical Imaging, pp. 1–5, London, UK, 2026. Updated: Jan 26, 2026 | |
| Paper on connectomic data classification with graph neural networks Description: A. Kazi, J. Mora, B. Fischl, A. V. Dalca, and I. Aganj, “Multi-head graph convolutional network for structural connectome classification,” Proceedings of the MICCAI Workshop on Graphs in Biomedical Image Analysis, pp. 27–36, 2023. Updated: May 8, 2024 | |
| Paper on connectomic data harmonization Description: Z. Zhou, B. Fischl, and I. Aganj, “Harmonization of structural brain connectivity through distribution matching,” Human Brain Mapping, vol. 46, no. 9:e70257, pp. 1–14, 2025. Updated: Jul 13, 2025 | |
| Paper on localization of the locus coeruleus using ELV and U-Net. Description: I. Aganj, J. Mora, B. Fischl, and J. C. Augustinack, “Automatic geometry-based estimation of the locus coeruleus region on T1-weighted magnetic resonance images,” Frontiers in Neuroscience, vol. 18, 2024. Updated: May 8, 2024 | |