From Promise to Practical Reality: Transforming Diffusion MRI Analysis with Deep Learning Enhancement

Data Sets and Instrucatinos

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Our Related Work

• X. Wang, Z. Tang, M. Cabezas, A. D'Souza, F. Calamante, D. Liu, M. Barnett, S.Tu, W. Cai, and C. Wang, "FOD-Net 2.0: End-to-End FOD Enhancement for Low Angular Diffusion Acquisitions Using Deep Learning", The 32nd Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM Power Pitch), 2023.
• X. Wang, Z. Tang, M. Cabezas, A. D'Souza, D. Liu, M. Barnett, F. Calamante, C. Wang, and W. Cai, "Deep Learning-Driven Enhancement of Fibre Orientation Distribution: Effect of Choice of Gradient Direction Number", The 33rd Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM), 2024.
• X. Wang, M. Cabezas, Z. Tang, A. D'Souza, D. Liu, C. Wang, and W. Cai, "Estimating Uncertainty on Deep Learning-Driven Fibre Orientation Distribution Enhancement", The 31st International Conference on Neural Information Processing (ICONIP Oral), 2024.
• X. Wang, Z. Tang, F. Calamante, W. Cai, M. Barnett, F. Boonstra, S. Kolbe, M.Law, H. Butzkueven, A. Van Der Walt, and C. Wang, "Enhanced Diffusion Fibre Orientation Distribution for Patients with Multiple Sclerosis", The 40th Congress of European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS), 2024.
• X. Wang, K. Wang, Z. Tang, M. Cabezas, C. Wang, and W. Cai, "UFREE: Unified Fiber Orientation Distribution Resolution Enhancement", 2025 IEEE International Symposium on Biomedical Imaging (ISBI), 2025.
• X. Wang, Z. Liu, S. Chen, H. Wang, C. Wang, M. Barnett, W. Cai, and Z. Tang, "SdADC: Semi-supervised diffusion MRI artefact detection and classification", The 34th Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM), 2025

BibTeX

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Acknowledgments

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