Charles B Delahunt
Charles B Delahunt
Research Scientist: Global Health Labs, Bellevue, Washington
Verified email at - Homepage
Cited by
Cited by
PySINDy: A comprehensive Python package for robust sparse system identification
AA Kaptanoglu, BM de Silva, U Fasel, K Kaheman, AJ Goldschmidt, ...
arXiv preprint arXiv:2111.08481, 2021
Computer-automated malaria diagnosis and quantitation using convolutional neural networks
C Mehanian, M Jaiswal, C Delahunt, C Thompson, M Horning, L Hu, ...
Proceedings of the IEEE international conference on computer vision …, 2017
Image analysis systems and related methods
CR Champlin, C Delahunt, MP Horning, L Hu, SK McGuire, C Mehanian, ...
US Patent 10,061,972, 2018
Automated microscopy for routine malaria diagnosis: a field comparison on Giemsa-stained blood films in Peru
K Torres, CM Bachman, CB Delahunt, J Alarcon Baldeon, F Alava, ...
Malaria journal 17, 1-11, 2018
Automated microscopy and machine learning for expert-level malaria field diagnosis
CB Delahunt, C Mehanian, L Hu, SK McGuire, CR Champlin, MP Horning, ...
2015 IEEE Global Humanitarian Technology Conference (GHTC), 393-399, 2015
Limitations of haemozoin-based diagnosis of Plasmodium falciparum using dark-field microscopy
C Delahunt, MP Horning, BK Wilson, JL Proctor, MC Hegg
Malaria journal 13, 1-10, 2014
Image analysis systems and related methods
CR Champlin, C Delahunt, MP Horning, L Hu, SK McGuire, C Mehanian, ...
US Patent 9,836,839, 2017
Biological Mechanisms for Learning: A Computational Model of Olfactory Learning in the Manduca sexta Moth, With Applications to Neural Nets
CB Delahunt, JA Riffell, JN Kutz
Frontiers in computational neuroscience 12, 102, 2018
A paper microfluidic cartridge for automated staining of malaria parasites with an optically transparent microscopy window
MP Horning, CB Delahunt, SR Singh, SH Garing, KP Nichols
Lab on a chip 14 (12), 2040-2046, 2014
Putting a bug in ML: The moth olfactory network learns to read MNIST
CB Delahunt, JN Kutz
Neural Networks 118, 54-64, 2019
A toolkit for data-driven discovery of governing equations in high-noise regimes
CB Delahunt, JN Kutz
IEEE Access 10, 31210-31234, 2022
Performance of a fully‐automated system on a WHO malaria microscopy evaluation slide set
MP Horning, CB Delahunt, CM Bachman, J Luchavez, C Luna, L Hu, ...
Malaria journal 20 (1), 1-11, 2021
Field evaluation of the diagnostic performance of EasyScan GO: a digital malaria microscopy device based on machine-learning
D Das, R Vongpromek, T Assawariyathipat, K Srinamon, K Kennon, ...
Malaria Journal 21 (1), 122, 2022
Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images
CB Delahunt, MS Jaiswal, MP Horning, S Janko, CM Thompson, ...
2019 IEEE Global Humanitarian Technology Conference (GHTC), 1-8, 2019
Devices and methods for staining and microscopy
C Delahunt, D Gasperino, MP Horning, KPF Nichols, BK Wilson
US Patent 9,453,996, 2016
Predicting United States policy outcomes with random forests
S McGuire, C Delahunt
arXiv preprint arXiv:2008.07338, 2020
Design goals for a system for enhancing AAC with personalized video
K O'Leary, C Delahunt, P Dowden, I Darmansya, J Heng, EA Riskin, ...
Proceedings of the 14th international ACM SIGACCESS conference on Computers …, 2012
Deep Learning Video Classification of Lung Ultrasound Features Associated With Pneumonia
DE Shea, S Kulhare, R Millin, Z Laverriere, C Mehanian, CB Delahunt, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
Insect cyborgs: Bio-mimetic feature generators improve ml accuracy on limited data
CB Delahunt, JN Kutz
Real Neurons {\&} Hidden Units: Future directions at the intersection of …, 2019
Insect Cyborgs: Biological Feature Generators Improve Machine Learning Accuracy on Limited Data
CB Delahunt, JN Kutz
arXiv preprint arXiv:1808.08124, 2018
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