Fan Lam

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• Research Homepage

Education

• M.S., Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 2011

Academic Positions

• Affiliated faculty of Beckman Institute for Advanced Science and Technology, 08/2018 - Present, 0%
• Affiliated faculty of Electrical and Computer Engineering, 10/2018 - Present, 0%
• Affiliated faculty of Carle-Illinois College of Medicine, 03/2020 - Present, 0%
• Affiliated faculty of the Carl R. Woese Institute for Genomic Biology, 10/2020 - Present, 0%
• Assistant Professor of Bioengineering, 08/2018 - Present, 100%
• Beckman Institute Postdoctoral Fellowship, Biomedical Imaging and Neuroimaging, University of Illinois Urbana-Champaign, 06/2015 - 08/2018

Professional Highlights

• Elevation to IEEE Senior Member Grade
• NIH NIGMS MIRA Award

Research Interests

• Neuroimaging
• Computational imaging and machine learning
• Multimodal biochemical imaging
• Magnetic resonance imaging
• Biomedical imaging

Research Topics

• Bioimaging at Multi-Scale

Selected Articles in Journals

• 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. ChemRxiv, 10.33774/chemrxiv-2021-ks1vf.
• 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. PNAS, 2022. In Press.
• X. Peng, B. Sutton, F. Lam, Z.-P. Liang, DeepSENSE: Learning coil sensitivity functions for SENSE reconstruction using deep learning. Magn. Reson. Med., 2021; doi:10.1002/mrm.29085
• Z. Wang, Y. Li, F. Lam, High-resolution, 3D multi-TE 1H-MRSI using fast spatiospectral encoding and subspace imaging, Magn. Reson. Med., 00:1-16, 2021.

Articles in Conference Proceedings

• X. Ye, Z. Wang, F. Lam, Improved nuisance signal removal for 1H MRSI using a low-rank plus sparse model with learned subspaces, ISMRM 2022.
• F. Lam, Y. Li, Y. Zhao, J. Haldar, Improving lipid suppression for 1H-MRSI using region-optimized virtual coils, ISMRM 2022.
• Z. Wang, Y. Li, F. Lam, High-Resolution brain metabolite T2 mapping using optimized multi-TE MRSI, ISMRM 2022.
• Z. Wang, F. Lam, Fast volumetric diffusion-weighted MRSI: improved acquisition and data processing, ISMRM 2022.
• R. Zhao, Z. Wang, F. Lam, Generative image prior constrained subspace reconstruction for high-resolution MRSI, ISMRM 2022.
• Y. Li, L. Ruhm, A. Henning, F. Lam, LeaRning nonlineAr representatIon and projectIon for faSt constrained MRSI rEconstruction (RAIISE), ISMRM 2022.
• Y. Li, Z. Wang, F. Lam, High-SNR J-Resolved MRSI by jointly learning nonlinear representation and projection, ISMRM 2022.
• Z. Wang, F. Lam, High resolution volumetric diffusion-weighted MRSI using a subspace approach, In Proc. of Annual Meeting of International Society for Magnetic Resonance in Medicine, 2021, p. 37.
• F. Lam, H. Hetherington, J. Pan, Rapid MRSI of the brain on 7T using subspace-based processing, In Proc. of Annual Meeting of International Society for Magnetic Resonance in Medicine, 2021, p. 2206.
• Z. Wang, Y. Li, F. Lam, Optimized subspace-based J-resolved MRSI for simultaneous metabolite and neurotransmitter mapping, In Proc. of Annual Meeting of International Society for Magnetic Resonance in Medicine, 2021, p. 72.
• Y. Li, Z. Wang, F. Lam, SNR-enhancing reconstruction for multi-TE MRSI using a learned nonlinear low-dimensional model, In Proc. of Annual Meeting of International Society for Magnetic Resonance in Medicine, 2021, p. 1998.
• Z. Wang, F. Lam, B0 inhomogeneity corrected reconstruction for low-resolution J-resolved MRSI using low-rank and spatial constraints, In Proc. of Annual Meeting of International Society for Magnetic Resonance in Medicine, 2020, p. 2911.
• Y. Li, Z. Wang, F. Lam, Separation of metabolites and macromolecules for short-TE 1H-MRSI using learned nonlinear models, In Proc. of Annual Meeting of International Society for Magnetic Resonance in Medicine, 2020, p. 2854.
• R.-J. Ho, F. Lam, High-resolution 3D spin-echo MRSI using interleaved water navigators, sparse sampling and subspace-based processing, In Proc. of IEEE-EMBC, 2020, pp. 1465-1468.
• Y. Li, Z. Wang, F. Lam, Separation of metabolite and macromolecule signals for 1H-MRSI using learned nonlinear models, In Proc. of IEEE International Symposium on Biomedical Imaging (ISBI), 2020, pp. 1725-1728.
• Y. Li, X. Peng, F. Lam, Learning nonlinear low-dimensional models for MR spectroscopic imaging using neural networks, In Proc. of ISMRM, 2019, p. 0947.

Pending Articles

• Y. Li, Z. Wang, F. Lam, SNR enhancement for multi-TE MRSI using joint low-dimensional model and spatial constraints, IEEE Trans. Biomed. Eng., Minor revision submitted.

Patents

• K. C. Li, G. E. Robinson, Z.-P. Liang, F. Lam, S. K. Silverman, Magnetic resonance spectroscopic imaging of brain DNA methylation, US Provisional Patent.
• F. Lam, J. V. Sweedler, Y. Xie, Subspace approach to accelerate Fourier transform mass spectrometry imaging, US Provisional Patent.

Conferences Organized or Chaired

• ISMRM Annual Meeting, Member Initiated Symposium Organizer (ISMRM 2018)
• ISMRM Annual Meeting Program Committee (ISMRM 2018, Junior Fellow Observer)

Service on Department Committees

• CS+BIOE Degree Working Group
• Master of Science in Biomedical Image Computing Program, Faculty Program Co-Director

Teaching Honors

• List of Teachers Ranked as Excellent (Fall 2021)
• List of Teachers Ranked as Excellent (Fall 2019)

Research Honors

• NIH-NIGMS Maximizing Investigators' Research Award (MIRA R35) (2021)
• NIH-NIBIB Trailblazer Award (2020)
• National Science Foundation CAREER Award (2020)
• Junior Fellow of the International Society of Magnetic Resonance in Medicine (2017)
• Best Student Paper Award, IEEE International Symposium on Biomedical Imaging (2015)
• Robert T. Chien Memorial Award, ECE, University of Illinois (2015)
• Beckman Institute Postdoctoral Fellowship (2015)

Public Service Honors

• Distinguished Reviewer Award, IEEE Transactions on Medical Imaging (2020)
• Distinguish Reviewer Awards, Magnetic Resonance in Medicine (2015-2019)

Other Honors

• Elevation to IEEE Senior Member Grade (2021)

Recent Courses Taught

• BIOE 205 - Signals & Systems in Bioengrg
• BIOE 483 - Biomedical Imaging Physics & S
• BIOE 486 - Appl Deep Learn Biomed Imaging
• BIOE 504 - Analytical Methods in Bioeng