Research Information
Research Interests
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Image analysis and prediction using machine/deep learning
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Cardiovascular imaging, particularly CT and intravascular optical coherence tomography imaging
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Ophthalmological imaging
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Cellular and molecular imaging
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Advanced section-and-image microscopy approaches including cryo-imaging and 3D-MUSE suitable for large volumes of interest, including a whole mouse or organ
Publications
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Hao Wu, Brendan L. Eck, Jacob Levi, Anas Fares, Yuemeng Li, Di Wen, Hiram G. Bezerra, Raymond F. Muzic, Jr., and David L. Wilson, “SLICR super-voxel algorithm for fast, robust quantification of myocardial blood flow by dynamic computed tomography myocardial perfusion imaging,” J. Med. Imaging, vol. 6, no. 4, p. 046001, Nov. 2019. PMCID: PMC6833456
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Jacob Levi, Brendan L. Eck, Rachid Fahmi, Hao Wu,Mani Vembar, Amar Dhanantwari, Anas Fares, Hiram G. Bezerra, and David L. Wilson. “Comparison of Automated Beam Hardening Correction (ABHC) Algorithms.” Medical Physics (2020). Available online prior to publication.
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Lee J, Gharaibeh Y, Kolluru C, Zimin VN, Dallan LAP, Kim JN, Bezerra HG, and Wilson DL, Segmentation of coronary calcified plaque in intravascular OCT images using a two-step deep learning approach, IEEE Access, 8, 225581-225593, 2020.
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Lee J, Prabhu D, Kolluru C, Gharaibeh Y, Zimin VN, Dallan LAP, Bezerra HG, and Wilson DL, Fully automated plaque characterization in intravascular OCT images using hybrid convolutional and lumen morphology features, Nature – Scientific Reports, 10(1), 2596, 2020.
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Zhou, Z., Qutaish, M., Han, Z., Schur, R. M., Liu, Y., Wilson, D. L., & Lu, Z. R. (2015). MRI detection of breast cancer micrometastases with a fibronectin-targeting contrast agent. Nature communications, 6, 2015.