Corey W. Arnold, PhD
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Scientific Interests
Dr. Corey Arnold's lab investigates the application of machine learning techniques to multi-modal data sets, including both radiology and whole slide images. They develop methods to provide increased quantification of imaging data, enabling more precise characterizations of disease. They seek to learn relationships across multiple scales of information with the goal of discovering novel phenotypes predictive of progression, treatment response and outcome.
Highlighted Publications
Ing N, Ma Z, Li J, Salemi H, Arnold CW, Knudsen B, Gertych A. Semantic segmentation for prostate cancer grading by convolutional neural networks. Proceedings Volume 10581, Medical Imaging 2018: Digital Pathology; 105811B (2018); doi: 10.1117/12.2293000
Li J, Sarma KV, Ho KC, Gertych A, Knudsen B, Arnold CW. A Multi-scale U-Net for Semantic Segmentation of Histological Images from Radical Prostatectomies. AMIA Annu Symp Proc. 2017.
Zide M, Caswell K, Peterson E, Aberle DR, Bui AA, Arnold CW. Consumers' Patient Portal Preferences and Health Literacy: A Survey Using Crowdsourcing. JMIR Res Protoc. 2016 Jun 8;5(2):e104. doi: 10.2196/resprot.5122.
Speier W, Ong MK, Arnold CW. Using phrases and document metadata to improve topic modeling of clinical reports. J Biomed Inform. 2016 Jun;61:260-6. doi: 10.1016/j.jbi.2016.04.005. Epub 2016 Apr 21.
Arnold CW, Wallace WD, Chen S, Oh A, Abtin F, Genshaft S, Binder S, Aberle D, Enzmann D. RadPath: A Web-based System for Integrating and Correlating Radiology and Pathology Findings During Cancer Diagnosis. Acad Radiol. 2016 Jan;23(1):90-100. doi: 10.1016/j.acra.2015.09.009. Epub 2015 Oct 27.
