Additional Campus Affiliations
Associate Professor, Bioengineering
Director, M.S. in Biomedical Image Computing Program, Bioengineering
Associate Professor, Electrical and Computer Engineering
Associate Professor, Biomedical and Translational Sciences
Associate Professor, Beckman Institute for Advanced Science and Technology
Affiliate, Personalized Nutrition Initiative, Carl R. Woese Institute for Genomic Biology
Recent Publications
Li, Y., Ruhm, L., Wang, Z., Zhao, R., Anderson, A., Arnold, P., Huesmann, G., Henning, A., & Lam, F. (2025). Joint learning of nonlinear representation and projection for fast constrained MRSI reconstruction. Magnetic Resonance in Medicine, 93(2), 455-469. https://doi.org/10.1002/mrm.30276
Liu, X., He, J., Gao, P., Abdelmounim, B., & Lam, F. (2024). Denoising of 3D Magnetic resonance images based on balanced low-rank tensor and nonlocal self-similarity. Biomedical Signal Processing and Control, 96, Article 106588. https://doi.org/10.1016/j.bspc.2024.106588
Wang, Y., Saha, U., Rubakhin, S. S., Roy, E. J., Smith, A. M., Sweedler, J. V., & Lam, F. (2024). High-resolution 1H-MRSI at 9.4 T by integrating relaxation enhancement and subspace imaging. NMR in Biomedicine, 37(10), Article e5161. https://doi.org/10.1002/nbm.5161
Wang, Z., Li, Y., Cao, C., Anderson, A., Huesmann, G., & Lam, F. (2024). Multi-Parametric Molecular Imaging of the Brain Using Optimized Multi-TE Subspace MRSI. IEEE Transactions on Biomedical Engineering, 71(6), 1732-1744. https://doi.org/10.1109/TBME.2023.3349375
Xie, Y. R., Castro, D. C., Rubakhin, S. S., Trinklein, T. J., Sweedler, J. V., & Lam, F. (2024). Multiscale biochemical mapping of the brain through deep-learning-enhanced high-throughput mass spectrometry. Nature Methods, 21(3), 521-530. https://doi.org/10.1038/s41592-024-02171-3