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Vasculature-informed spatial smoothing of white matter functional magnetic resonance imaging

Apr. 18, 2025—Adam M. Saunders, Michael E. Kim, Kurt G. Schilling, John C. Gore, Bennett A. Landman, and Yurui Gao. Vasculature-informed spatial smoothing of white matter functional magnetic resonance imaging. SPIE Medical Imaging: Image Processing, 2025, February, San Diego, California. https://doi.org/10.1117/12.3047240. Abstract Blood oxygenation level-dependent (BOLD) signals in white matter in the brain are anisotropically oriented, so...

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A 4D atlas of diffusion-informed spatial smoothing windows for BOLD signal in white matter

Apr. 18, 2025—Adam M. Saunders, Gaurav Rudravaram, Nancy R. Newlin, Michael E. Kim, John C. Gore, Bennett A. Landman, and Yurui Gao. A 4D atlas of diffusion–informed spatial smoothing windows for BOLD signal in white matter. SPIE Medical Imaging: Image Processing, 2025, February, San Diego, California. https://doi.org/10.1117/12.3047240 Abstract Typical methods for preprocessing functional magnetic resonance images (fMRI)...

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Scalable, reproducible, and cost-effective processing of large-scale medical imaging datasets

Apr. 13, 2025—Michael E. Kim, Karthik Ramadass, Chenyu Gao, Praitayini Kanakaraj, Nancy R. Newlin, Gaurav Rudravaram, Kurt G. Schilling, Blake E. Dewey, Derek Archer, Timothy J. Hohman, Zhiyuan Li, Shunxing Bao, Bennett A. Landman, and Nazirah Mohd Khairi. Scalable, reproducible, and cost-effective processing of large-scale medical imaging datasets. SPIE Medical Imaging: Imaging Informatics, 2025, February, San Diego,...

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Comparison and calibration of MP2RAGE quantitative T1 values to multi-TI inversion recovery T1 values

Apr. 13, 2025—Adam M. Saunders, Michael E. Kim, Chenyu Gao, Lucas W. Remedios, Aravind R. Krishnan, Kurt G. Schilling, Kristin P. O’Grady, Seth A. Smith, and Bennett A. Landman. Comparison and calibration of MP2RAGE quantitative T1 values to multi-TI inversion recovery T1 values. Magnetic Resonance Imaging, 2025; 117:110322. https://doi.org/10.1016/j.mri.2025.110322. Abstract While typical qualitative T1-weighted magnetic resonance images...

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Super-resolution multi-contrast unbiased eye atlases with deep probabilistic refinement

Nov. 6, 2024—Ho Hin Lee, Adam M. Saunders, Michael E. Kim, Samuel W. Remedios, Lucas W. Remedios, Yucheng Tang, Qi Yang, Xin Yu, Shunxing Bao, Chloe Cho, Louise A. Mawn, Tonia S. Rex, Kevin L. Schey, Blake E. Dewey, Jeffrey M. Spraggins, Jerry L. Prince, Yuankai Huo, Bennett A. Landman, Super-resolution multi-contrast unbiased eye atlases with deep...

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MICCAI-CDMRI 2023 QuantConn Challenge Findings on Achieving Robust Quantitative Connectivity through Harmonized Preprocessing of Diffusion MRI

Sep. 3, 2024—Newlin, N. R., Schilling, K., Koudoro, S., Chandio, B. Q., Kanakaraj, P., Moyer, D., Kelly, C. E., Genc, S., Chen, J., Yang, J. Y.-M., Wu, Y., He, Y., Zhang, J., Zeng, Q., Zhang, F., Adluru, N., Nath, V., Pathak, S., Schneider, W., … Landman, B. A. (2024). MICCAI-CDMRI 2023 QuantConn Challenge Findings on Achieving Robust...

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Empirical Assessment of the Assumptions of ComBat with Diffusion Tensor Imaging

May. 24, 2024—Michael E. Kim, Chenyu Gao, Leon Y. Cai, Qi Yang, Nancy R. Newlin, Karthik Ramadass, Angela Jefferson, Derek Archer, Niranjana Shashikumar, Kimberly R. Pechman, Katherine A. Gifford, Timothy J. Hohman, Lori L. Beason-Held, Susan M. Resnick, Stefan Winzeck, Kurt G. Schilling, Panpan Zhang, Daniel Moyer, Bennett A. Landman, Empirical assessment of the assumptions of ComBat...

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Lung CT harmonization of paired reconstruction kernel images using generative adversarial networks

Apr. 24, 2024—Aravind R. Krishnan, Kaiwen Xu, Thomas Li, Lucas W. Remedios, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman.  “Lung CT harmonization of paired reconstruction kernel images using generative adversarial networks.”Med Phys. 2024;1-14.https://doi.org/10.1002/mp.17028 Abstract Background The kernel used in CT image reconstruction is an important factor that determines the texture of the CT image. Consistency of reconstruction...

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Enhancing Hierarchical Transformers for Whole Brain Segmentation with Intracranial Measurements Integration

Dec. 20, 2023—Xin Yu, Yucheng Tang, Qi Yang, Ho Hin Lee, Shunxing Bao, Yuankai Huo, and Bennett A. Landman. “Enhancing Hierarchical Transformers for Whole Brain Segmentation with Intracranial Measurements Integration.” SPIE Medical Imaging 2024 Full text: NIHMSID Abstract: Whole brain segmentation with magnetic resonance imaging (MRI) enables the non-invasive measurement of brain regions, including total intracranial volume (TICV) and...

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Nucleus subtype classification using inter-modality learning

Dec. 19, 2023—Lucas W. Remedios, Shunxing Bao, Samuel W. Remedios, Ho Hin Lee, Leon Y. Cai, Thomas Li, Ruining Deng, Can Cui, Jia Li, Qi Liu, Ken S. Lau, Joseph T. Roland, Mary K. Washington, Lori A. Coburn, Keith T. Wilson, Yuankai Huo, Bennett A. Landman (2024). Nucleus subtype classification using inter-modality learning. SPIE Medical Imaging 2024 :...

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