• 788 Citations
  • 11 Scopus h-Index
20062019
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Fingerprint 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.

  • 4 Similar Profiles
Glioblastoma Medicine & Life Sciences
Glioma Medicine & Life Sciences
Perfusion Imaging Medicine & Life Sciences
Neoplasms Medicine & Life Sciences
Brain Neoplasms Medicine & Life Sciences
Magnetic Resonance Imaging Medicine & Life Sciences
Biopsy Medicine & Life Sciences
Radiation Effects Medicine & Life Sciences

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Research Output 2006 2019

  • 788 Citations
  • 11 Scopus h-Index
  • 24 Article

Accurate patient-specific machine learning models of glioblastoma invasion using transfer learning

Hu, L. S., Yoon, H., Eschbacher, J. M., Baxter, L. C., Dueck, A., Nespodzany, A., Smith, K. A., Nakaji, P., Xu, Y., Wang, L., Karis, J. P., Hawkins-Daarud, A. J., Singleton, K. W., Jackson, P. R., Anderies, B. J., Bendok, B., Zimmerman, R. S., Quarles, C., Porter-Umphrey, A. B., Mrugala, M. & 11 others, Sharma, A., Hoxworth, J. M., Sattur, M. G., Sanai, N., Koulemberis, P. E., Krishna, C., Mitchell, J. R., Wu, T., Tran, N., Swanson, K. & Li, J., Jan 1 2019, In : American Journal of Neuroradiology. 40, 3, p. 418-425 8 p.

Research output: Contribution to journalArticle

Open Access
Glioblastoma
Cell Count
Neoplasms
Image-Guided Biopsy
Diffusion Tensor Imaging

ENvironmental dynamics underlying responsive extreme survivors (ENDURES) of glioblastoma: A multidisciplinary team-based, multifactorial analytical approach

Johnston, S. K., Whitmire, P., Massey, S. C., Kumthekar, P., Porter Umphrey, A. B., Raghunand, N., Gonzalez-Cuyar, L. F., Mrugala, M., Hawkins-Daarud, A., Jackson, P. R., Hu, L. S., Sarkaria, J. N., Wang, L., Gatenby, R. A., Egan, K. M., Canoll, P. & Swanson, K., Aug 1 2019, In : American Journal of Clinical Oncology: Cancer Clinical Trials. 42, 8, p. 655-661 7 p.

Research output: Contribution to journalArticle

Glioblastoma
Survivors
Survival
Brain Neoplasms
Neoplasms

Integration of machine learning and mechanistic models accurately predicts variation in cell density of glioblastoma using multiparametric MRI

Gaw, N., Hawkins-Daarud, A., Hu, L. S., Yoon, H., Wang, L., Xu, Y., Jackson, P. R., Singleton, K. W., Baxter, L. C., Eschbacher, J., Gonzales, A., Nespodzany, A., Smith, K., Nakaji, P., Mitchell, J. R., Wu, T., Swanson, K. & Li, J., Dec 1 2019, In : Scientific reports. 9, 1, 10063.

Research output: Contribution to journalArticle

Open Access
Glioblastoma
Cell Count
Magnetic Resonance Imaging
Neoplasms
Machine Learning
1 Citation (Scopus)

Moving toward a consensus DSC-MRI protocol: Validation of a low-flip angle single-dose option as a reference standard for brain tumors

Schmainda, K. M., Prah, M. A., Hu, L. S., Quarles, C. C., Semmineh, N., Rand, S. D., Connelly, J. M., Anderies, B., Zhou, Y., Liu, Y., Logan, B., Stokes, A., Baird, G. & Boxerman, J. L., Jan 1 2019, In : American Journal of Neuroradiology. 40, 4, p. 626-633 8 p.

Research output: Contribution to journalArticle

Open Access
Brain Neoplasms
Contrast Media
Noise
Traction
Brain

Updated Imaging Features of Dysplastic Cerebellar Gangliocytoma

Dhamija, R., Wood, C. P., Porter Umphrey, A. B., Hu, L. S., Weindling, S. M. & Hoxworth, J. M., Mar 1 2019, In : Journal of computer assisted tomography. 43, 2, p. 277-281 5 p.

Research output: Contribution to journalArticle

Ganglioneuroma
Cerebellum
Infratentorial Neoplasms
Cysts
Veins