Seemeen Karimi is an electrical engineer interested in statistical data modeling, inverse problems, imaging and natural language processing. She has been with LLNL since 2020, developing algorithms for tomographic image reconstruction, uncertainty quantification, artifact reduction and image analysis. She has a Ph.D. in Electrical Engineering from the University of California, San Diego where her thesis topic was on metal artifact reduction in x-ray computed tomography. Before joining LLNL, she worked for manufacturers of computed tomography scanners, Analogic Corporation and NeuroLogica Corporation, where she helped build CT scanners for medical imaging and passenger luggage screening. She then worked for Elimu Informatics, modeling healthcare and genomics data for healthcare information systems. She has authored 6 patents, 19 papers and over 150 technical reports.

PhD. Electrical Engineering (Signal and Image Processing), University of California, San Diego, CA

M.S. Biomedical Engineering (Medical Imaging), University of North Carolina at Chapel Hill, Chapel Hill, NC

B.E. Biomedical Engineering, University of Bombay, Mumbai, India

Patents

Karimi and Crawford, "Reprojection-based three-dimensional image reconstruction," Pat. 6850587.

Karimi and Crawford, "Helical interpolation for an asymmetric multi-slice scanner," Pat. 7062009. 

Karimi et al., "Method and apparatus for automatic image quality assessment," Pat. 6813374. 

Naidu et al, "Method of and system for reducing metal artifacts in images generated by x-ray scanning devices," Pat. 6,721,387. 

Karimi et al., “System for encoding genomics data for secure storage and processing”, Application No. 17/559,449, June 2024

Boxwala and Karimi, “System for generating machine learning-based associations for electronic data records”, Application No. 18/198,900, filed May 2023, Pending

Publications

D. Lalush, S. Karimi and B. Tsui, “Convergence and resolution recovery of block iterative EM algorithms modeling 3D detector response in SPECT,” Nuclear Science Symposium, 1996.

Wessell, D.E., Tsui, B.M., Frey, E.C. and Karimi, S.S., 1997, November. Rotating quadrant slanthole SPECT scintimammography: an initial investigation. In 1997 IEEE Nuclear Science Symposium Conference Record (Vol. 2, pp. 1145-1149). IEEE.

D. Kadrmas, E. Frey, S. Karimi, and B. Tsui, "Fast implementations of reconstruction-based scatter compensation in fully 3D SPECT image reconstruction," Physics in Medicine and Biology, 43(4): 857-873, 1998.

S. Karimi, "Distributed Embedded Computing in the Detection of Explosives," High Performance Embedded Computing Workshop (HPEC) 2002.

E. Bailey and S. Karimi, “Pediatric CT Dose Reduction: An Adaptive Post Reconstruction Filter that Significantly Lowers Image Noise on Low Dose CT Scans While Preserving Spatial and Pathological Detail,” Society of Pediatric Radiology, Annual meeting 2008.

S. Karimi, P. Cosman, H. Martz, C. Wald, “Using Segmentation in CT Metal Artifact Reduction,” IEEE Southwest Symposium on Image Analysis and Interpretation, 2012

S. Karimi, P. Cosman, C. Wald, and H. Martz, “Segmentation of Artifacts and Anatomy in CT metal artifact reduction,” Medical Physics, 39 (10): 5857-68, 2012. 

S. Karimi, H. Martz, and P.C. Cosman, “Metal Artifact Reduction for CT-Based Luggage Screening," IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014.

S. Karimi, H. Martz, P. Cosman, “Metal Artifact Reduction for CT based Luggage Screening,” Journal of X-ray Science and Technology, 23 (44) 435–451, 2015.

S. Karimi, X. Jiang, P. Cosman, and H. Martz, "Evaluation of Segmentation Algorithms in CT Scanning," 2nd IEEE Conference on Healthcare Informatics, Imaging, and Systems Biology, September 2012. Best Poster Award.

S. Karimi, X. Jiang, H. Martz, P. Cosman, “Flexible methods for Segmentation Evaluation: Results from CT-based Luggage Screening,” Journal of X-ray Science and Technology, 22 (2):175-195, 2014.

A. Boxwala, R. Barrows, R. El-Kareh, C. Weir, S. Karimi, “Using Automated Context-Relevant Views to Improve EHR Usability”, AMIA Clinical Informatics Conference 2019.

S. Karimi and H. Martz, “Regression based sinogram replacement for CT-based metal artifact reduction”, 11113-8, SPIE Developments in X-Ray Tomography XII, 2019.

Karimi, S., Jiang, X., Dolin, R.H., Kim, M. and Boxwala, A., 2020. “A secure system for genomics clinical decision support”, Journal of biomedical informatics, 112, p.103602.

Karimi, S. and Tringe, J., “Cross-talk and spatial resolution in a CT scanner with a flat panel detector”. In Developments in X-Ray Tomography XIV (Vol. 12242). SPIE, October 2020

Karimi, S., Brown, W., Thornton, C., Chen, Q., Glenn, S., Skeate, M.F., Jacob, R., Nakamura, K., Ostermayr, T., van Tilborg, J. and Geddes, C., “CT results using an inverse Compton x-ray source”, In Anomaly Detection and Imaging with X-Rays (ADIX) VIII (Vol. 12531, p. 1253102). SPIE, June 2023

Karimi, S., Hall, J., and Ruelas, J., “Heel Effect Measurement and Compensation”, Presented at ASNT Research Symposium, Columbus OH, June 2023

Mukherjee, S., Fairbank, H., Lum, J., Stobbe, D.S., Karimi, S. and Tringe, J.W., 2022. “Uncertainty quantification in immersion ultrasound measurements using a Bayesian inferencing approach”, ASNT Research Symposium, June 2022.

M. G. Bisbee, A. J. Hardy, I. Oksuz, L. R. Cao, N. J. Cherepy, D. J. Schneberk, K. M. Champley, A. P. Townsend, K. J. Harke, J. V. Bernier, J. Tringe, S. Karimi, "Experimental x-ray and fast neutron CT comparative analysis," Proc. SPIE 12241, Hard X-Ray, Gamma-Ray, and Neutron Detector Physics XXIV, 122410E (4 October 2022); https://doi.org/10.1117/12.2635503

S. Karimi, J. Hall, J.Smith. and J. Tringe, "The impact of Cross-Talk in a Flat Panel Detector on CT Image Quality", IEEE Open Journal of Instrumentation and Measurement, 2, 2023. https://doi.org/10.1117/12.654499.

Research Grants

• "Less is More: Context-relevant views of EHRs", SBIR R43 NIH, Boxwala (PI), Role: Co-investigator, Sep 2018- Jun 2019 This research is aimed at reducing the information overload from large electronic health records that are often associated with older patients. The study investigates an approach to automatically create views of an EHR relevant to a particular clinical context.
• "Secure outsourced computation of genomic data", STTR R41 NIH, Role: Principal investigator, Sep 2019- Aug 2020. This research aims to use homomorphic encryption to securely store and compute on patient’s whole genome sequence for clinical decision-support and other applications.
• "Comparison of Deep Learning and Boosted Classifier Methods for Automatic Explosives Detection in X-Ray Images of Bags", DHS S&T Role: Co-investigator Sep 2018-Sep 2019. The research included metal artifact reduction for passenger luggage screening
• "Heel effect Measurement and Compensation" LDRD: 23-FS-007 Role: Principal investigator, Oct 2022 - Ongoing. This research quantifies the Heel effect on an x-ray CT scanner with a reflective anode. We developed a compensation for the spatially varying spectra to achieve greater quantitative accuracy in attenuation measurement.

Best Poster Award: 2nd IEEE Conference on Healthcare Informatics, Imaging, and Systems Biology, September 2012. B