Scott V. Bratman

According to our database, Scott V. Bratman authored at least 6 papers between 2014 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Machine Learning Models for Individualized Osteoradionecrosis Risk Prediction in Head and Neck Cancer.

Mohammad Moharrami, Erin Watson, Shao-Hui Huang, Sreenath Madathil, John Kim, Andrew McPartlin, Nauman H. Malik, Sonica Singhal, Ezra Hahn, John Waldron, Scott V. Bratman, John De Almeida, Christopher Yao, Andrew Hope, Carlos Quinonez, Michael Glogauer, Ali Hosni

J. Medical Syst., December, 2026

2023

MEDIPIPE: an automated and comprehensive pipeline for cfMeDIP-seq data quality control and analysis.

Yong Zeng, Wenbin Ye, Eric Y. Stutheit-Zhao, Ming Han, Scott V. Bratman, Trevor J. Pugh, Housheng H. He

Bioinform., 2023

2021

A Machine Learning Challenge for Prognostic Modelling in Head and Neck Cancer Using Multi-modal Data.

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

CoRR, 2021

The impact of the variation of imaging parameters on the robustness of Computed Tomography radiomic features: A review.

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

Comput. Biol. Medicine, 2021

2020

Non-invasive prediction of lymph node risk in oral cavity cancer patients using a combination of supervised and unsupervised machine learning algorithms.

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 B. Chepeha, John De Almeida, David Goldstein, David A. Jaffray, Leonard Wee, Andre Dekker, Andrew Hope

Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020

2014

FACTERA: a practical method for the discovery of genomic rearrangements at breakpoint resolution.

Aaron M. Newman, Scott V. Bratman, Henning Stehr, Luke J. Lee, Chih Long Liu, Maximilian Diehn, Ash A. Alizadeh

Bioinform., 2014