Andrew A. Borkowski

According to our database, Andrew A. Borkowski authored at least 6 papers between 2018 and 2023.

Collaborative distances:

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

2023

Pilot Lightweight Denoising Algorithm for Multiple Sclerosis on Spine MRI.

John D. Mayfield, Katie Bailey, Andrew A. Borkowski, Narayan Viswanadhan

J. Digit. Imaging, August, 2023

Predicting ward transfer mortality with machine learning.

José Lezama, Gil Alterovitz, Colleen E. Jakey, Ana L. Kraus, Michael J. Kim, Andrew A. Borkowski

Frontiers Artif. Intell., February, 2023

2022

Reduction of Video Capsule Endoscopy Reading Times Using Deep Learning with Small Data.

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

Algorithms, 2022

2021

Machine Learning Approaches to Automated Flow Cytometry Diagnosis of Chronic Lymphocytic Leukemia.

Akum S. Kang, Loveleen C. Kang, Stephen M. Mastorides, Philip R. Foulis, Lauren A. Deland, Robert P. Seifert, Andrew A. Borkowski

CoRR, 2021

2019

Lung and Colon Cancer Histopathological Image Dataset (LC25000).

Andrew A. Borkowski, Marilyn M. Bui, L. Brannon Thomas, Catherine P. Wilson, Lauren A. Deland, Stephen M. Mastorides

CoRR, 2019

2018

Using Apple Machine Learning Algorithms to Detect and Subclassify Non-Small Cell Lung Cancer.

Andrew A. Borkowski, Catherine P. Wilson, Steven A. Borkowski, Lauren A. Deland, Stephen M. Mastorides

CoRR, 2018