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2020 – today
- 2023
[j3]José Lezama, Gil Alterovitz, Colleen E. Jakey, Ana L. Kraus, Michael J. Kim, Andrew A. Borkowski:
Predicting ward transfer mortality with machine learning. Frontiers Artif. Intell. 6 (2023)- [j2]John D. Mayfield
, Katie Bailey, Andrew A. Borkowski, Narayan Viswanadhan:
Pilot Lightweight Denoising Algorithm for Multiple Sclerosis on Spine MRI. J. Digit. Imaging 36(4): 1877-1884 (2023) - 2022
- [j1]Hunter Morera, Roshan Warman, Azubuogu Anudu, Chukwudumebi Uche, Ivana Radosavljevic, Nikhil Reddy, Ahan Kayastha, Niharika Baviriseaty, Rahul Mhaskar, Andrew A. Borkowski, Patrick Brady, Satish Singh, Gerard Mullin, José Lezama, Lawrence O. Hall, Dmitry B. Goldgof, Gitanjali Vidyarthi:
Reduction of Video Capsule Endoscopy Reading Times Using Deep Learning with Small Data. Algorithms 15(10): 339 (2022) - 2021
- [i3]Akum S. Kang, Loveleen C. Kang, Stephen M. Mastorides, Philip R. Foulis, Lauren A. Deland, Robert P. Seifert, Andrew A. Borkowski:
Machine Learning Approaches to Automated Flow Cytometry Diagnosis of Chronic Lymphocytic Leukemia. CoRR abs/2107.09728 (2021)
2010 – 2019
- 2019
- [i2]Andrew A. Borkowski, Marilyn M. Bui, L. Brannon Thomas, Catherine P. Wilson, Lauren A. Deland, Stephen M. Mastorides:
Lung and Colon Cancer Histopathological Image Dataset (LC25000). CoRR abs/1912.12142 (2019) - 2018
- [i1]Andrew A. Borkowski, Catherine P. Wilson, Steven A. Borkowski, Lauren A. Deland, Stephen M. Mastorides:
Using Apple Machine Learning Algorithms to Detect and Subclassify Non-Small Cell Lung Cancer. CoRR abs/1808.08230 (2018)
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