Aiguo Han

Aiguo Han

Assistant Professor

Publications

[Google Scholar] | [NCBI]

A. Preprints
B. Invited Book Chapters
C. Invited Editorials
D. Journal and Other Peer-Reviewed Publications
E. Conference Proceedings

†Co-first author *Corresponding author

A. Preprints

  1. H. Chen and A. Han*, “Robust deep learning for pulse-echo speed of sound imaging via time-shift maps,” techrxiv, 2024.

B. Invited Book Chapters

  1. A. Han, “Extracting quantitative ultrasonic parameters from the backscatter coefficient,” in Quantitative Ultrasound in Soft Tissues (2nd ed.), J. Mamou and M. L. Oelze, Eds. Springer Nature Switzerland AG, 2023, pp. 43-63.

C. Invited Editorials

  1. A. Han, “US attenuation coefficient for liver fat quantification: A need for standardization,” Radiology, vol. 313, no. 1, 2024, Art. no. e242511.

  2. A. Han, “Hepatic steatosis assessment: Harnessing the power of integrating multiple quantitative US parameters,” Radiology, vol. 309, no. 1, 2023, Art. no. e232475.

D. Journal and Other Peer-Reviewed Publications

2024

  1. D. Tamayo-Murillo*, J. T. Weeks, C. A. Keller, M. P. Andre, C. Gonzalez, A. Li, E. Grunvald, J. Liau, S. H. Shabanan, T. Wolfson, J. Zuo, A. Robinson, C. A. Carrascal, N. Sanchez, S. B. Reeder, A. Han, and C. B. Sirlin, “Quantitative liver fat assessment by handheld point-of-care ultrasound: A technical implementation and pilot study in adults,” Ultrasound Med. Biol. (accepted on 11/4/2024; online 12/16/24)

  2. H. Liu, D. Hajialigol, B. Antony, A. Han, and X. Wang*, “EEG2Text: Open vocabulary EEG-to-text decoding with multi-view transformer,” in 2024 IEEE International Conference on Big Data, 2024. (accepted as a regular paper on 10/26/24; acceptance rate: 18.8%)

  3. M. Toto-Brocchi, Y. Wu, S. Jerban, A. Han, M. P. Andre, S. B. Shah, and E. Y. Chang*, “Quantitative ultrasound assessment of fatty infiltration of the rotator cuff muscles using backscatter coefficient,” Eur. Radiol. Exp., vol. 8, no. 1, 2024, Art. no. 119.

  4. Y. Wu, V. Barrere, A. Han, E. Y. Chang, M. P. Andre, and S. B. Shah*, “Influences of variability in attenuation compensation on the estimation of backscatter coefficient of median nerves in vivo,” J. Ultrasound Med. (accepted on 9/16/24; online 10/9/24)

  5. J. Zuo, D. G. Simpson, W. D. O’Brien, Jr., B. L. McFarlin, and A. Han*, “Automated field of interest determination for quantitative ultrasound analyses of cervical tissues: Toward real-time clinical translation in spontaneous preterm birth risk assessment,” Ultrasound Med. Biol., vol. 50, no. 12, pp. 1861–1867, 2024.

  6. M. Villegas-Downs*, M. Mohammadi, A. Han, W. D. O’Brien, Jr., D. G. Simpson, T. A. Peters, J. M. Schlaeger, B. L. McFarlin, “Trajectory of postpartum cervical remodeling in women delivering full-term and spontaneous preterm: Sensitivity to quantitative ultrasound biomarkers,” Ultrasound Med. Biol., vol. 50, no. 12, pp. 1777–1784, 2024.

  7. Q. Tran, W. D. O’Brien, Jr., and A. Han*, “Sticky hard sphere model for characterizing tumor microstructure via quantitative ultrasound,” IEEE Trans. Ultrason. Ferroelectr. Freq. Control., vol. 71, no. 8, pp. 985–994, 2024.

  8. S. Hosseini Shabanan, V. F. Martins, T. Wolfson, J. Weeks, L. Ceriani, C. Behling, V. Chernyak, A. El Kaffas, A. Borhani, A. Han, K. Wang, K. J. Fowler, and C. B. Sirlin*, “MASLD: What we have learned and where we need to go — A call to action,” RadioGraphics. vol. 44, no. 11, 2024, Art. no. e240048. (Featured in an invited commentary in Radiographics.)

  9. V. Barrere, Y. Wu, A. Han, S. Jerban, M. P. Andre, S. B. Shah, and E. Y. Chang*, “Postmortem tissue degassing using positive pressure is superior to negative pressure,” Ultrasound Med. Biol., vol. 50, no. 8, pp. 1287–1291, 2024.

  10. Z. Tian, M. Olmstead, Y. Jing, and A. Han*, “Transcranial phase correction using pulse-echo ultrasound and deep learning: A 2-D numerical study,” IEEE Trans. Ultrason. Ferroelectr. Freq. Control, vol. 71, no. 1, pp. 117–126, 2024.

  11. Y. Wu, V. Barrere, A. Ashir, X. Chen, L. Silva, S. Jerban, A. Han, M. P. Andre, S. B. Shah, and E. Y. Chang*, “High-frequency quantitative ultrasound imaging of human rotator cuff muscles: Assessment of repeatability and reproducibility,” Ultrason. Imaging, vol. 46, no. 1, pp. 56–70, 2024.

  12. B. L. McFarlin*, M. Villegas-Downs, M. Mohammadi, A. Han, D. G. Simpson, W. D. O’Brien, Jr. “Enhanced identification of at-risk women for preterm birth via quantitative ultrasound: A prospective cohort study,” Am. J. Obstet. Gynecol. MFM, vol. 6, no. 5, 2024, Art. no. 101250.

2023

  1. Y. Wu, V. Barrere, A. Han, M. P. Andre, E. Orozco, E. Y. Chang, and S. B. Shah*, “Quantitative evaluation of rat sciatic nerve degeneration using high-frequency ultrasound,” Sci. Rep., vol. 13, 2023, Art. no. 20228.

  2. B. L. McFarlin, Y. Liu, M. Villegas-Downs, M. Mohammadi, D. G. Simpson, A. Han, and W. D. O’Brien, Jr.*, “Predicting spontaneous pre-term birth risk is improved when quantitative ultrasound data are included with historical clinical data,” Ultrasound Med. Biol. vol. 49, no. 5, pp. 1145–1152, 2023.

  3. K. Nagabhushana, Q. Wang, and A. Han*, “Pulse-echo technique to compensate for laminate membrane transmission loss in phantom-based ultrasonic attenuation coefficient measurements,” J. Ultrasound Med., vol. 42, no. 1, pp. 45–58, 2023.

  4. Y. Wu†, V. Barrere†, A. Han, E. Y. Chang, M. P. Andre, and S. B. Shah*, “Repeatability, reproducibility and sources of variability in the assessment of backscatter coefficient and texture parameters from high-frequency ultrasound acquisitions in human median nerve,” Ultrasound Med. Biol., vol. 49, no. 1, pp. 122–135, 2023.

2010 - 2022

  1. K. A. Wear*, A. Han, J. M. Rubin, J. Gao, R. Lavarello, G. Cloutier, J. Bamber, and T. Tuthill, “US backscatter for liver fat quantification: An AIUM-RSNA QIBA Pulse-Echo Quantitative Ultrasound Initiative,” Radiology, vol. 305, no. 3, pp. 526–537, 2022.

  2. J. Jung, A. Han, E. Madamba, R. Bettencourt, R. R. Loomba, A. S. Boehringer, M. P. Andre, J. W. Erdman, Jr., W. D. O’Brien, Jr., K. J. Fowler, C. B. Sirlin, and R. Loomba*, “Direct comparison of quantitative US versus controlled attenuation parameter for liver fat assessment using MRI proton density fat fraction as the reference standard in patients suspected of having NAFLD,” Radiology, vol. 304, no. 1, pp. 75–82, 2022. (Featured in an editorial in Radiology.)

  3. X. Chen, M. R. Lowerison, Z. Dong, A. Han, and P. Song*, “Deep learning-based microbubble localization for ultrasound localization microscopy,” IEEE Trans. Ultrason. Ferroelectr. Freq. Control, vol. 69, no. 4, pp. 1312–1325, 2022.

  4. M. Byra*, A. Han, A. S. Boehringer, Y. N. Zhang, W. D. O’Brien, Jr., J. W. Erdman, Jr., R. Loomba, C. B. Sirlin, and M. P. Andre, “Liver fat assessment in multiview sonography using transfer learning with convolutional neural networks,” J. Ultrasound Med., vol. 41, no. 1, pp. 175–184, 2022.

  5. A. Han*, M. Byra, E. Heba, M. P. Andre, J. W. Erdman, Jr., R. Loomba, C. B. Sirlin, and W. D. O’Brien, Jr., “Noninvasive diagnosis of nonalcoholic fatty liver disease and quantification of liver fat with radiofrequency ultrasound data using one-dimensional convolutional neural networks,” Radiology, vol. 295, no. 2, pp. 342–350, 2020. (Featured in an editorial in Radiology.) [code]

  6. A. Han*, Y. N. Zhang, A. S. Boehringer, V. Montes, M. P. Andre, J. W. Erdman, Jr., R. Loomba, M. A. Valasek, C. B. Sirlin, and W. D. O’Brien, Jr., “Assessment of hepatic steatosis in nonalcoholic fatty liver disease using quantitative ultrasound,” Radiology, vol. 295, no. 1, pp. 106–113, 2020.

  7. A. Han*, Y. N. Zhang, A. S. Boehringer, M. P. Andre, J. W. Erdman, Jr., R. Loomba, C. B. Sirlin, and W. D. O’Brien, Jr., “Inter-platform reproducibility of ultrasonic attenuation and backscatter coefficients in assessing NAFLD,” Eur. Radiol., vol. 29, no. 9, pp. 4699–4708, 2019.

  8. S. Chen, B. L. McFarlin, B. T. Meagher, T. A. Peters, D. G. Simpson, W. D. O’Brien, Jr., and A. Han*, “A phantom-based assessment of repeatability and reproducibility of transvaginal quantitative ultrasound,” IEEE Trans. Ultrason. Ferroelectr. Freq. Control, vol. 66, no. 9, pp. 1413–1420, 2019.

  9. J. L. Rowles, A. Han, R. J. Miller, J. R. Kelly, C. C. Applegate, M. A. Wallig, W. D. O’Brien, Jr., and J. W. Erdman, Jr.*, “Low fat but not soy protein isolate was an effective intervention to reduce nonalcoholic fatty liver disease progression in C57BL/6J mice: monitored by a novel quantitative ultrasound (QUS) method,” Nutr. Res., vol. 63, pp. 95–105, 2019.

  10. R. J. Miller, A. Han, J. W. Erdman, Jr., M. A. Wallig, and W. D. O’Brien, Jr.*, “Quantitative ultrasound and the pancreas: Demonstration of early detection capability,” J. Ultrasound Med., vol. 38, no. 8, pp. 2093–2102, 2018.

  11. A. Han, Y. Labyed, E. Z. Sy, A. S. Boehringer, M. P. Andre, J. W. Erdman, Jr., R. Loomba, C. B. Sirlin, and W. D. O’Brien, Jr.*, “Inter-sonographer reproducibility of quantitative ultrasound outcomes and shear wave speed measured in the right lobe of the liver in adults with known or suspected non-alcoholic fatty liver disease,” Eur. Radiol., vol. 28, no. 12, pp. 4992–5000, 2018.

  12. A. Han, M. P. Andre, L. Deiranieh, E. Housman, J. W. Erdman, Jr., R. Loomba, C. B. Sirlin, and W. D. O’Brien, Jr.*, “Repeatability and reproducibility of the ultrasonic attenuation coefficient and backscatter coefficient measured in the right lobe of the liver in adults with known or suspected nonalcoholic fatty liver disease,” J. Ultrasound Med., vol. 37, no. 8, pp. 1913–1927, 2018.

  13. A. Han*, “A method for stereological determination of the structure function from histological sections of isotropic scattering media,” IEEE Trans. Ultrason. Ferroelectr. Freq. Control, vol. 65, no. 6, pp. 1007–1016, 2018.

  14. P. Muleki-Seya, A. Han, M. P. Andre, J. W. Erdman, Jr., and W. D. O’Brien, Jr.*, “Analysis of two quantitative ultrasound approaches,” Ultrason. Imaging, vol. 40, no. 2, pp. 84–96, 2018.

  15. Y. Zhu*, A. Han, W. D. O’Brien, Jr., M. L. Oelze, and M. F. Insana, “Limitations on estimation of effective scatterer diameters,” J. Acoust. Soc. Am., vol. 142, no. 6, pp. 3677–3690, 2017.

  16. A. G. B. Cruz, A. Han, E. J. Roy, A. B. Guzmán, R. J. Miller, E. A. Driskell, W. D. O’Brien, Jr., and J. L. Shisler*, “Deletion of the K1L gene results in a vaccinia virus that is less pathogenic due to muted innate immune responses, yet still elicits protective immunity,” J. Virol., vol. 91, no. 15, 2017, Art. no. e00542-17.

  17. J. S. Paige, G. S. Bernstein, E. Heba, E. A. C. Costa, M. Fereirra, T. Wolfson, A. C. Gamst, M. A. Valasek, G. Y. Lin, A. Han, J. W. Erdman, Jr., W. D. O’Brien, Jr., M. P. Andre, R. Loomba, and C. B. Sirlin*, “A pilot comparative study of quantitative ultrasound, conventional ultrasound, and MRI for predicting histology-determined steatosis grade in adult nonalcoholic fatty liver disease,” Am. J. Roentgenol., vol. 208, no. 5, pp. W168–W177, 2017.

  18. A. Han, M. P. Andre, J. W. Erdman, Jr., R. Loomba, C. B. Sirlin, and W. D. O’Brien, Jr.*, “Repeatability and reproducibility of a clinically based QUS phantom study and methodologies,” IEEE Trans. Ultrason. Ferroelectr. Freq. Control, vol. 64, no. 1, pp. 218–231, 2017. (Editor’s Selection of Articles - Oct 2017)

  19. A. Han and W. D. O’Brien, Jr.*, “Structure function estimated from histological tissue sections,” IEEE Trans. Ultrason. Ferroelectr. Freq. Control, vol. 63, no. 9, pp. 1296–1305, 2016.

  20. J. Garcia-Duitama, B. Chayer, A. Han, D. Garcia, M. L. Oelze, and G. Cloutier*, “Experimental application of ultrafast imaging to spectral tissue characterization,” Ultrasound Med. Biol., vol. 41, no. 9, pp. 2506–2519, 2015.

  21. S. C. Lin†, E. Heba†, T. Wolfson, B. Ang, A. Gamst, A. Han, J. W. Erdman, Jr., W. D. O’Brien, Jr., M. P. Andre, C. B. Sirlin, and R. Loomba*, “Noninvasive diagnosis of nonalcoholic fatty liver disease and quantification of liver fat using a new quantitative ultrasound technique,” Clin. Gastroenterol. Hepatol., vol. 13, no. 7, pp. 1337–1345, 2015.

  22. A. Han and W. D. O’Brien, Jr.*, “Structure function for high-concentration biophantoms of polydisperse scatterer sizes,” IEEE Trans. Ultrason. Ferroelectr. Freq. Control, vol. 62, no. 2, pp. 303–318, 2015.

  23. A. Han, R. Abuhabsah, R. J. Miller, S. Sarwate, and W. D. O’Brien, Jr.*, “The measurement of ultrasound backscattering from cell pellet biophantoms and tumors ex vivo,” J. Acoust. Soc. Am., vol. 134, no. 1, pp. 686–693, 2013.

  24. A. Han, R. Abuhabsah, J. P. Blue, Jr., S. Sarwate, and W. D. O’Brien, Jr.*, “Ultrasonic backscatter coefficient quantitative estimates from high-concentration Chinese hamster ovary cell pellet biophantoms,” J. Acoust. Soc. Am., vol. 130, no. 6, pp. 4139–4147, 2011.

  25. M. Teisseire, A. Han, R. Abuhabsah, J. P. Blue, Jr., S. Sarwate, and W. D. O’Brien, Jr.*, “Ultrasonic backscatter coefficient quantitative estimates from Chinese hamster ovary cell pellet biophantoms,” J. Acoust. Soc. Am., vol. 128, no. 5, pp. 3175–3180, 2010.

E. Conference Proceedings

  1. Z. Tian, Y. Jing, and A. Han, “An Open-source GPU-based acoustic simulator for fast and accurate modeling of acoustic scattering,” in 2024 Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium, 2024, pp. 1–4.

  2. H. Chen, Y. Zhu, J. Zuo, R. Kabir, and A. Han, “TranSpeed: Transformer-based generative adversarial network for speed-of-sound reconstruction in pulse-echo mode,” in 2024 Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium, 2024, pp. 1–4.

  3. H. Chen, J. Zuo, R. Kabir, Y. Zhu, and A. Han, “Generalizable deep learning for pulse-echo speed of sound imaging via time-shift maps,” in 2024 Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium, 2024, pp. 1–4.

  4. H. Chen, J. Zuo, Y. Zhu, R. Kabir, and A. Han, “Polar-space frequency-domain filtering for improved pulse-echo speed of sound imaging with convex probes,” in 2024 Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium, 2024, pp. 1–4.

  5. H. Chen, Z. Wang, and A. Han, “Guiding ultrasound breast tumor classification with human-specified regions of interest: A differentiable class activation map approach,” in 2024 Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium, 2024, pp. 1–4.

  6. H. Liu, D. Hajialigol, B. Antony, A. Han, and X. Wang*, “EEG2Text: Open vocabulary EEG-to-text decoding with EEG pre-training and multi-view transformer,” in The Forty-first International Conference on Machine Learning AI for Science Workshop (ICML’24 AI4Science), 2024, pp. 1–11.

  7. P. Muleki-Seya, A. Han, and W. D. O’Brien, Jr., “Evaluation of ultrasound scattering models adapted for two types of scatterers to extract scatterer parameters from cell-pellet biophantoms,” in 2022 IEEE Int. Ultrason. Symp. (IUS), 2022, pp. 1–4.

  8. Y. Wu, L. Lopez, M. P. Andre, R. Loomba, C. B. Sirlin, M. A. Valasek, M. A. Wallig, W. D. O’Brien, Jr., and A. Han, “Liver fat droplet dependency on ultrasound backscatter coefficient in nonalcoholic fatty liver,” in 2020 IEEE Int. Ultrason. Symp. (IUS), 2020, pp. 1–4.

  9. K. Nagabhushana, W. D. O’Brien, Jr., and A. Han, “Technique to compensate for unknown laminate transmission loss in phantom attenuation measurements,” in 2020 IEEE Int. Ultrason. Symp. (IUS), 2020, pp. 1–4.

  10. A. Han, A. S. Boehringer, Y. N. Zhang, V. Montes, M. P. Andre, J. W. Erdman, Jr., R. Loomba, C. B. Sirlin, and W. D. O’Brien, Jr., “Improved assessment of hepatic steatosis in humans using multi-parametric quantitative ultrasound,” in 2019 IEEE Int. Ultrason. Symp. (IUS), 2019, pp. 1–4.

  11. R. J. Miller, A. Han, L. T. Gates-Tanzer, J. W. Erdman, Jr., J. L. Shisler, M. A. Wallig, and W. D. O’Brien, Jr., “Quantitative ultrasound and the pancreas: Demonstration of early detection capability,” in 2017 IEEE Int. Ultrason. Symp. (IUS), 2017, pp. 1–4.

  12. P. Muleki-Seya, A. Han, M. P. Andre, J. W. Erdman, Jr., and W. D. O’Brien, Jr., “Comparison of quantitative ultrasound parameters for fat content liver detection and monitoring,” in 2017 IEEE Int. Ultrason. Symp. (IUS), 2017, pp. 1–4.

  13. A. Han and W. D. O’Brien, Jr., “Structure function: Theory, ultrasonic measurement, and histology,” in 2015 Int. Ultrason. Symp. (IUS), 2015, pp. 1–4.

  14. A. Han, J. W. Erdman, Jr., D. G. Simpson, M. P. Andre, and W. D. O’Brien, Jr., “Early detection of fatty liver disease in mice via quantitative ultrasound,” in 2014 IEEE Int. Ultrason. Symp. (IUS), 2014, pp. 2363–2366.

  15. M. P. Andre, A. Han, E. Heba, J. Hooker, R. Loomba, C. B. Sirlin, J. W. Erdman, Jr., and W. D. O’Brien, Jr., “Accurate diagnosis of non-alcoholic fatty liver disease in humans via quantitative ultrasound,” in 2014 IEEE Int. Ultrason. Symp. (IUS), 2014, pp. 2375–2377.

  16. J. Garcia-Duitama, A. Han, B. Chayer, D. Garcia, M. L. Oelze, and G. Cloutier, “Experimental validation of plane wave imaging using k-space beamforming for spectral characterization of isotropic media,” 2014 IEEE Int. Ultrason. Symp. (IUS), 2014, pp. 2414–2417.

  17. W. D. O’Brien, Jr., A. Han, and T. Auger, “Quantitative ultrasound from single cells to biophantoms to tumors,” in Conf. Proc. IEEE Eng. Med. Biol. Soc. (EMBS), 2012, pp. 1118–1120.