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Dive into the research topics where Leland S Hu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Image-based models of tumor-immune dynamics in glioblastoma
Hu, L. S. (PI), Swanson, K. (CoPI) & Canoll, P. P. (CoPI)
3/1/21 → 2/28/26
Project: Research project
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Establishing the clinical utility of a consensus DSC-MRI Protocol
Quarles, C. C. C. (CoPI), Boxerman, J. L. (CoPI), Schmainda, K. M. (CoPI), Hu, L. S. (CoPI) & Quarles, C. C. C. (PI)
3/1/22 → 2/28/25
Project: Research project
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Multi-site Validation and Application of a Consensus DSC MRI Protocol
Quarles, C. C. C. (PI), Boxerman, J. L. (CoPI), Hu, L. S. (CoPI) & Schmainda, K. M. (CoPI)
2/1/18 → 1/31/22
Project: Research project
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Quantifying Multiscale Competitive Landscapes of Clonal Diversity in Glioblastoma
Swanson, K. (PI), Hu, L. S. (CoPI), Mitchell, R. (CoPI) & Tran, N. (CoPI)
9/12/17 → 8/31/18
Project: Research project
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MRI-based mapping of regional genomic diversity in Glioblastoma
Hu, L. S. (PI)
National Institute of Neurological Disorders and Stroke
3/1/13 → 2/29/16
Project: Research project
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Advanced Imaging in the Diagnosis and Response Assessment of High-Grade Glioma: AJR Expert Panel Narrative Review
Hu, L. S., Smits, M., Kaufmann, T. J., Knutsson, L., Rapalino, O., Galldiks, N., Sundgren, P. C. & Cha, S., Jan 2025, In: American Journal of Roentgenology. 224, 1, e2330612.Research output: Contribution to journal › Review article › peer-review
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Comparison of modelled diffusion-derived electrical conductivities found using magnetic resonance imaging
Hakhu, S., Hu, L. S., Beeman, S. & Sadleir, R. J., 2025, In: Frontiers in Radiology. 5, 1492479.Research output: Contribution to journal › Article › peer-review
Open Access -
Knowledge-Informed Machine Learning for Cancer Diagnosis and Prognosis: A Review
Mao, L., Wang, H., Hu, L. S., Tran, N. L., Canoll, P. D., Swanson, K. R. & Li, J., 2025, In: IEEE Transactions on Automation Science and Engineering. 22, p. 10008-10028 21 p.Research output: Contribution to journal › Review article › peer-review
Open Access -
MEDL: Unsupervised Multi-Stage Ensemble Deep Learning With Diffusion Models for Denoising MRI Scans
Vora, S., Paul, R., Ding, P. L. K., Patel, A., Hu, L., Sharpe, R., Zhou, Y. & Li, B., 2025, ISBI 2025 - 2025 IEEE 22nd International Symposium on Biomedical Imaging, Proceedings. IEEE Computer Society, (Proceedings - International Symposium on Biomedical Imaging).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Multisite Benchmark Study for Standardized Relative CBV in Untreated Brain Metastases Using the DSC-MRI Consensus Acquisition Protocol
Loizzo, S. K., Prah, M. A., Kong, M. J., Phung, D., Urcuyo, J. C., Ye, J., Attenello, F. J., Mendoza, J., Zhou, Y., Shiroishi, M. S., Hu, L. S. & Schmainda, K. M., Mar 1 2025, In: American Journal of Neuroradiology. 46, 3, p. 529-535 7 p.Research output: Contribution to journal › Article › peer-review
Open Access