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Journal Articles
- 2021
[j2]Reza Reiazi
, Engy Abbas, Petra Famiyeh, Aria Rezaie, Jennifer Y. Y. Kwan, Tirth Patel, Scott V. Bratman, Tony Tadic, Fei-Fei Liu, Benjamin Haibe-Kains:
The impact of the variation of imaging parameters on the robustness of Computed Tomography radiomic features: A review. Comput. Biol. Medicine 133: 104400 (2021)- 2014
- [j1]Aaron M. Newman, Scott V. Bratman, Henning Stehr, Luke J. Lee, Chih Long Liu, Maximilian Diehn, Ash A. Alizadeh:
FACTERA: a practical method for the discovery of genomic rearrangements at breakpoint resolution. Bioinform. 30(23): 3390-3393 (2014)
Conference and Workshop Papers
- 2020
- [c1]Alberto Traverso, Ali Hosni-Abdalaty, Mohammad Hasan, Tony Tadic, Tirth Patel, Meredith Giuliani, John Kim, Jolie Ringash, John Cho, Scott V. Bratman, Andrew Bayley, John Waldron, Brian O'Sullivan, Jonathan C. Irish, Douglas Chepeha, John De Almeida, David Goldstein, David A. Jaffray, Leonard Wee, Andre Dekker, Andrew Hope:
Non-invasive prediction of lymph node risk in oral cavity cancer patients using a combination of supervised and unsupervised machine learning algorithms. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 113172C
Informal and Other Publications
- 2021
- [i1]Michal Kazmierski, Mattea Welch, Sejin Kim, Chris McIntosh, Katrina Rey-McIntyre, Shao-Hui Huang, Tirth Patel, Tony Tadic, Michael F. Milosevic, Fei-Fei Liu, Andrew Hope, Scott V. Bratman, Benjamin Haibe-Kains:
A Machine Learning Challenge for Prognostic Modelling in Head and Neck Cancer Using Multi-modal Data. CoRR abs/2101.11935 (2021)
Coauthor Index
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