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Charles B Delahunt
Charles B Delahunt
Research Scientist: Global Health Labs, Bellevue, Washington
Email verificata su uw.edu - Home page
Titolo
Citata da
Citata da
Anno
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
1892021
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
1152017
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
892018
Image analysis systems and related methods
CR Champlin, C Delahunt, MP Horning, L Hu, SK McGuire, C Mehanian, ...
US Patent 10,061,972, 2018
84*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
612015
Image analysis systems and related methods
CR Champlin, C Delahunt, MP Horning, L Hu, SK McGuire, C Mehanian, ...
US Patent 9,836,839, 2017
572017
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
542014
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, 1-11, 2021
432021
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
412022
A toolkit for data-driven discovery of governing equations in high-noise regimes
CB Delahunt, JN Kutz
IEEE Access 10, 31210-31234, 2022
382022
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
342018
Putting a bug in ML: The moth olfactory network learns to read MNIST
CB Delahunt, JN Kutz
Neural Networks 118, 54-64, 2019
332019
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
312014
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
212019
Devices and methods for staining and microscopy
C Delahunt, D Gasperino, MP Horning, KPF Nichols, BK Wilson
US Patent 9,453,996, 2016
152016
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
112023
Evaluation of an automated microscope using machine learning for the detection of malaria in travelers returned to the UK
RR Rees-Channer, CM Bachman, L Grignard, ML Gatton, S Burkot, ...
Frontiers in Malaria 1, 1148115, 2023
102023
How good are synthetic medical images? an empirical study with lung ultrasound
M Yu, S Kulhare, C Mehanian, CB Delahunt, DE Shea, Z Laverriere, ...
International Workshop on Simulation and Synthesis in Medical Imaging, 75-85, 2023
62023
Use case-focused metrics to evaluate machine learning for diseases involving parasite loads
CB Delahunt, N Gachuhi, MP Horning
arXiv preprint arXiv:2209.06947 3, 2022
62022
Metrics to guide development of machine learning algorithms for malaria diagnosis
CB Delahunt, N Gachuhi, MP Horning
Frontiers in Malaria 2, 1250220, 2024
42024
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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