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Raymond Y Huang, Ph.D., M.D.

Co-Author

This page shows the publications co-authored by Raymond Huang and Jayashree Kalpathy-Cramer.
Connection Strength

0.585
  1. Automatic assessment of glioma burden: a deep learning algorithm for fully automated volumetric and bidimensional measurement. Neuro Oncol. 2019 11 04; 21(11):1412-1422.
    View in: PubMed
    Score: 0.216
  2. Residual Convolutional Neural Network for the Determination of IDH Status in Low- and High-Grade Gliomas from MR Imaging. Clin Cancer Res. 2018 03 01; 24(5):1073-1081.
    View in: PubMed
    Score: 0.189
  3. Corrigendum to: Deep learning-based automatic tumor burden assessment of pediatric high-grade gliomas, medulloblastomas, and other leptomeningeal seeding tumors. Neuro Oncol. 2021 Sep 22.
    View in: PubMed
    Score: 0.062
  4. Deep Learning-Based Automatic Tumor Burden Assessment of Pediatric High-Grade Gliomas, Medulloblastomas, and Other Leptomeningeal Seeding Tumors. Neuro Oncol. 2021 Jun 26.
    View in: PubMed
    Score: 0.061
  5. Consensus recommendations for a dynamic susceptibility contrast MRI protocol for use in high-grade gliomas. Neuro Oncol. 2020 09 29; 22(9):1262-1275.
    View in: PubMed
    Score: 0.058
Connection Strength
The connection strength for co-authors is the sum of the scores for each of their shared publications.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.