Connection
Theodore Randolph to Image Processing, Computer-Assisted
This is a "connection" page, showing publications Theodore Randolph has written about Image Processing, Computer-Assisted.
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1.747 |
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Thite NG, Yarnell M, Fry TJ, Seefeldt M, Calderon CP, Randolph TW. Unsupervised Machine Learning-Based Process Analytical Tools for Near Real-Time Cell Morphology Analysis During CAR-T Cell Manufacturing. Biotechnol Bioeng. 2025 Sep; 122(9):2377-2388.
Score: 0.689
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Daniels AL, Calderon CP, Randolph TW. Machine learning and statistical analyses for extracting and characterizing "fingerprints" of antibody aggregation at container interfaces from flow microscopy images. Biotechnol Bioeng. 2020 11; 117(11):3322-3335.
Score: 0.491
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Greenblott DN, Calderon CP, Randolph TW. Representative training data sets are critical for accurate machine-learning classification of microscopy images of particles formed by lipase-catalyzed polysorbate hydrolysis. J Pharm Sci. 2025 Feb; 114(2):1254-1263.
Score: 0.167
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Thite NG, Tuberty-Vaughan E, Wilcox P, Wallace N, Calderon CP, Randolph TW. Stain-Free Approach to Determine and Monitor Cell Heath Using Supervised and Unsupervised Image-Based Deep Learning. J Pharm Sci. 2024 08; 113(8):2114-2127.
Score: 0.160
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Calderon CP, Ripple DC, Srinivasan C, Ma Y, Carrier MJ, Randolph TW, O'Connor TF. Testing Precision Limits of Neural Network-Based Quality Control Metrics in High-Throughput Digital Microscopy. Pharm Res. 2022 Feb; 39(2):263-279.
Score: 0.136
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Daniels AL, Randolph TW. Flow Microscopy Imaging Is Sensitive to Characteristics of Subvisible Particles in Peginesatide Formulations Associated With Severe Adverse Reactions. J Pharm Sci. 2018 05; 107(5):1313-1321.
Score: 0.103