- Y. Wang, U. Saha, S. S. Rubakhin, E. J Roy, A. M. Smith, J. V. Sweedler, F. Lam

High-resolution 1H-MRSI at 9.4T by integrating relaxation enhancement and subspace imaging

To Appear in NMR in Biomedicine, 2024 - R. Zhao, X. Peng, V. A. Kelkar, M. A. Anastasio, F. Lam

High-dimensional MR reconstruction integrating subspace and adaptive generative models.

IEEE Trans. Biomed. Eng., 2024. - Z. Wang, Y. Li, C. Cao, A. Anderson, G. Huesmann, F. Lam
Multi-parametric molecular imaging of the brain using optimized J-resolved subspace MRSI

IEEE Trans. Biomed. Eng., 2024. - Y. Xie, D. C. Castro, S. S. Rubakhin, J. V. Sweedler*, F. Lam*

Multiscale biochemical mapping of the brain via deep-learning-enhanced high-throughput mass spectrometry.

Nature Methods, 2024. - F. Lam*, X. Peng, Z.-P. Liang

High-dimensional MR spatiospectral imaging by integrating physics-based modeling and data-driven machine learning.

IEEE Sig. Proc. Mag., 40:101-115, 2023. - A., Shaffer, S.S. Kwok, A. Naik, A. T. Anderson, F. Lam, T. Wszalek, P. M. Arnold, W. Hassaneen.

Ultra-high-field MRI in the diagnosis and management of gliomas: A systematic review.

Front Neurol. 13, 2022. - Y. Li, Z. Wang, F. Lam.

SNR enhancement for multi-TE MRSI using joint low-dimensional model and spatial constraints.

IEEE Transactions on Biomedical Engineering, 69:3087-3097, 2022. - F. Lam
, J. Chu^{+}^{+}, J. S. Choi, C. Cao, T. K. Hitchens, S. K. Silverman, Z.-P. Liang, R. N. Dilger, G. E. Robinson*, K. C. Li*

Epigenetic MRI: Noninvasive imaging of DNA methylation in the brain.

Proceedings of the National Academy of Sciences, 119:e2119891119, 2022. - Y. Xie, D. C. Castro, S. S. Rubakhin, J. V. Sweedler*, F. Lam
*****

Enhancing the throughput of FT mass spectrometry imaging using compressed sensing and subspace modeling.

Analytical Chemistry, 2022, DOI: 10.1021/acs.analchem.1c05279. (*Co-corresponding author) - X. Peng, B. Sutton, F. Lam, Z.-P. Liang

DeepSENSE: Learning coil sensitivity functions for SENSE reconstruction using deep learning.

Magnetic Resonance in Medicine, 87:1894-1902, 2022. - Z. Wang, Y. Li, F. Lam.

High-resolution, 3D multi-TE^{1}H-MRSI using fast spatiospectral encoding and subspace imaging

Magnetic Resonance in Medicine, 87:1103-1118, 2022. - Y. Li, Z. Wang, R. Sun, F. Lam.

Separation of metabolites and macromolecules for short-TE^{1}H-MRSI using learned component-specific representations.

IEEE Transactions on Medical Imaging, 40:1157-1167, 2021. - Y. R. Xie, D. C. Castro, F. Lam*, J. V. Sweedler*.

Accelerating Fourier transform-ion cyclotron resonance mass spectrometry imaging using a subspace approach.

Journal of the American Society for Mass Spectrometry, 2020 (*Co-corresponding Authors) - R. A. Hamideh, B. Akbari, P. Fathi, S. K. Misra, A. Sutrisno, F. Lam, D. Pan.

Biodegradable MRI visible drug eluting stent reinforced by metal organic frameworks.

Advanced Healthcare Materials, 9:2000136, 2020. - F. Lam, B. P. Sutton.

Intravoxel B0 inhomogeneity corrected reconstruction using a low-rank encoding operator.

Magnetic Resonance in Medicine, 84:885-894, 2020. - F. Lam, Y. Li, X. Peng.

Constrained magnetic resonance spectroscopic imaging by learning nonlinear low-dimensional models.

IEEE Transactions on Medical Imaging, 39:545-555, 2020. - B. Clifford, Y. Gu, Y. Liu, K. Kim, S. Huang, Y. Li, F. Lam, Z.-P. Liang, X. Yu.

High-resolution dynamic 31P-MR spectroscopic imaging for mapping mitochondrial function.

IEEE Transactions on Biomedical Engineering, 67:2745-2753, 2020 (TBME Highlight Article). - F. Lam, Y. Li, R. Guo, Y. Zhao, B. Clifford, Z.-P. Liang.

Ultrafast magnetic resonance spectroscopic imaging using SPICE with learned subspaces.

Magnetic Resonance in Medicine, 83:377-390, 2020. - A. T. Mudd, J. E. Fil, L. C. Knight, F. Lam, Z.-P. Liang, R. N. Dilger.

Early-life iron deficiency reduces brain iron content and alters brain tissue composition despite iron repletion: A neuroimaging assessment.

Nutrients, 10:135, 2018. - F. Lam, Y. Li, B. Clifford, Z.-P. Liang.

Macromolecule mapping of the brain using ultrashort-TE acquisition and reference-based metabolite removal.

Magnetic Resonance in Medicine, 79:2460-2469, 2018. - X. Peng, F. Lam, Y. Li, B. Clifford, Z.-P. Liang.

Simultaneous QSM and metabolic imaging of the brain using SPICE.

Magnetic Resonance in Medicine, 79:13-21, 2018. - Y. Li, F. Lam, B. Clifford, Z.-P. Liang.

A subspace approach to spectral quantification for MR spectroscopic imaging.

IEEE Transactions on Biomedical Engineering, 64:2486-2489, 2017 (TBME Highlight Article). - C. Ma, B. Clifford, Y. Liu, Y. Gu, F. Lam, X. Yu, Z.-P. Liang.

High-resolution dynamic 31P-MRSI using a low-rank tensor Model.

Magnetic Resonance in Medicine, 78:419-428, 2017. - C. Ma, F. Lam, Q. Ning, C. L. Johnson, and Z.-P. Liang.

High-resolution 1H-MRSI of the brain using short-TE SPICE.

Magnetic Resonance in Medicine, 77:467-479, 2017. - F. Lam, C. Ma, B. Clifford, C. L. Johnson, and Z.-P. Liang.

High-resolution 1H-MRSI of the brain using SPICE: Data Acquisition and Image Reconstruction,

Magnetic Resonance in Medicine, 76:1059-1070, 2017. (MRM Cover Feature Article). - Q. Ning, C. Ma, F. Lam, Z.-P. Liang.

Spectral quantification for high-resolution MR spectroscopic imaging with spatiospectral constraints.

IEEE Transactions on Biomedical Engineering, 64: 1178-1186, 2016. - C. Ma, F. Lam, C. L. Johnson, and Z.-P. Liang.

Removal of nuisance signals from limited and sparse 1H MRSI data using a union-of-subspaces model.

Magnetic Resonance in Medicine, 75:488–497, 2016. - J. He, Q. Liu, A. Christodoulou, C. Ma, F. Lam, Z.-P. Liang.

Accelerated high-dimensional MR imaging with sparse sampling using low-rank tensors.

IEEE Transaction on Medical Imaging, vol. 35, pp. 2119-2129, 2016. - F. Lam, D. Liu, Z. Song, N. Schuff, and Z.-P. Liang.

A fast algorithm for rank and edge constrained denoising of magnitude diffusion-weighted images.

Magnetic Resonance in Medicine, 75:433-440, 2016. - Y. Liu, C. Ma, B. A. Clifford, F. Lam, C. L. Johnson, and Z.-P. Liang.

Improved low-rank filtering of magnetic resonance spectroscopic imaging data corrupted by noise and B0 field inhomogeneity.

IEEE Transactions on Biomedical Engineering, 63:841-849, 2015 (TBME Highlight Article) - B. Zhao, W. Lu, T. K. Hitchens, F. Lam, C. Ho, and Z.-P. Liang.

Accelerated MR parameter mapping with low-rank and sparsity constraints.

Magnetic Resonance in Medicine, 74:489–498, 2015. - B. Zhao, F. Lam, and Z.-P. Liang.

Model-based MR parameter mapping with sparsity constraints: Parameter estimation and performance bounds.

IEEE Transactions on Medical Imaging, 33:1832-1844, 2014. - F. Lam and Z.-P. Liang.

A subspace approach to high-resolution spectroscopic imaging.

Magnetic Resonance in Medicine, 71:1349-1357, 2014. - F. Lam, S. D. Babacan, J. P. Haldar, M. W. Weiner, N. Schuff, and Z.-P. Liang.

Denoising diffusion-weighted magnitude MR images using rank and edge constraints.

Magnetic Resonance in Medicine, 71:1272-1284, 2014. - X. Qu, Y. Hou, F. Lam, D. Guo, J. Zhong, and Z. Chen.

Magnetic resonance image reconstruction from undersampled measurements using a patch-based nonlocal operator.

Medical Image Analysis, 18:843-856, 2014. - J. Gai, N. Obeid, J. L. Holtrop, X.-L. Wu, F. Lam, M. Fu, J. P. Haldar, W.-M. Hwu, Z.-P. Liang, and B. P. Sutton.

More IMPATIENT: A gridding-accelerated Toeplitz-based strategy for non-Cartesian high-resolution 3D MRI on GPUs.

Journal of Parallel and Distributed Computing, 73:686-697, 2013. - H. Du and F. Lam.

Compressed sensing MR image reconstruction using a motion compensated reference.

Magnetic Resonance Imaging, 30:954-963, 2012.