CTOD: collaborative tree-based outlier detection in wireless sensor networks. - Dylan McDonald; Sanjay Madria; Fikret Erçal; Ryan Birmingham; Thomas Lake 001 (MOBIWAC, 2012)

From Whole Slide Tissues to Knowledge: Mapping Sub-cellular Morphology of Cancer. - Tahsin M. Kurç; Ashish Sharma 001; Rajarsi Gupta 001; Le Hou; Han Le; Shahira Abousamra; Erich Bremer; Ryan Birmingham; Tammy Diprima; Nan Li; Feiqiao Wang; Joseph Balsamo; et al. (BrainLes@MICCAI (2), 2019)

Challenges in Custom Machine Learning Model Implementation in a Vendor System: Use of a Deep Learning Model for Pediatric CLABSI Prediction. - Jonathan M. Beus; Edwin Ray; Sarah Thompson; Ryan Birmingham; Brad Cundiff; Mike Malto; Kevin Duncan; Dileep Gunda; Rishikesan Kamaleswaran; Evan Orenstein (AMIA, 2022)

mlpack 4: a fast, header-only C++ machine learning library. - Ryan R. Curtin; Marcus Edel; Omar Shrit; Shubham Agrawal; Suryoday Basak; James Joseph Balamuta; Ryan Birmingham; Kartik Dutt; Dirk Eddelbuettel; Rishabh Garg; Shikhar Jaiswal; Aakash Kaushik; et al. (J. Open Source Softw., 2023)

Visualizing Scanner Utilization From MRI Metadata and Clinical Data. - Pradeeban Kathiravelu; Nan Li; Nishchal Singi; Ananth Reddy Bhimireddy; Ryan Birmingham; Judy Wawira Gichoya; Hari Trivedi; Nabile M. Safdar; Ashish Sharma 001; Puneet Sharma (Computer, 2023)

Distributed Computing Systems and Approaches for Polar Science Research: An Interdisciplinary Systematic Review. - Pradeeban Kathiravelu; Ryan Birmingham (CCGridW, 2024)

Eaglescope: an interactive visualization and cohort selection tool for biomedical data exploration. - Ryan Birmingham; Nan Li; Tony Pan; Yahia Zakariya (Zenodo, 2024)

Eaglescope. - Ryan Birmingham; Nan Li; Zakariya Yahiya; Tony Pan (Zenodo, 2024)

Eaglescope: an interactive visualization and cohort selection tool for biomedical data exploration. - Ryan Birmingham; Nan Li; Tony Pan; Yahia Zakaria (J. Open Source Softw., 2024)