• 820 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
Software Medicine & Life Sciences
Biopsy Medicine & Life Sciences

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Research Output 2006 2019

  • 820 Citations
  • 11 Scopus h-Index
  • 26 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. C., 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. R., Zimmerman, R. S., Quarles, C., Porter-Umphrey, A. B., Mrugala, M. 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. L., Swanson, K. R. & 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

A Deep Convolutional Neural Network for Annotation of Magnetic Resonance Imaging Sequence Type

Ranjbar, S., Singleton, K. W., Jackson, P. R., Rickertsen, C. R., Whitmire, S. A., Clark-Swanson, K. R., Mitchell, J. R., Swanson, K. R. & Hu, L. S., Jan 1 2019, (Accepted/In press) In : Journal of Digital Imaging.

Research output: Contribution to journalArticle

Magnetic resonance
Magnetic Resonance Spectroscopy
Magnetic Resonance Imaging
Neural networks
Tumors

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
2 Citations (Scopus)

Evaluating Multisite rCBV Consistency from DSC-MRI Imaging Protocols and Postprocessing Software Across the NCI Quantitative Imaging Network Sites Using a Digital Reference Object (DRO)

Bell, L. C., Semmineh, N., An, H., Eldeniz, C., Wahl, R., Schmainda, K. M., Prah, M. A., Erickson, B. J., Korfiatis, P., Wu, C., Sorace, A. G., Yankeelov, T. E., Rutledge, N., Chenevert, T. L., Malyarenko, D., Liu, Y., Brenner, A., Hu, L. S., Zhou, Y., Boxerman, J. L. & 8 others, Yen, Y. F., Kalpathy-Cramer, J., Beers, A. L., Muzi, M., Madhuranthakam, A. J., Pinho, M., Johnson, B. & Quarles, C. C., Mar 1 2019, In : Tomography (Ann Arbor, Mich.). 5, 1, p. 110-117 8 p.

Research output: Contribution to journalArticle

Open Access
Software
Biomarkers
Magnetic Resonance Imaging
Clinical Trials
Cerebral Blood Volume

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