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Charles B Delahunt

Showing results (1-10 of 9) with videos related to

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Neural Networks : the Official Journal of the International Neural Network Society|June 23, 2019
Putting a bug in ML: The moth olfactory network learns to read MNISTCharles B Delahunt, J Nathan Kutz
Frontiers in Computational Neuroscience|January 9, 2019
Biological Mechanisms for Learning: A Computational Model of Olfactory Learning in the <i>Manduca sexta</i> Moth, With Applications to Neural NetsCharles B Delahunt, Jeffrey A Riffell, J Nathan Kutz
Brain Sciences|April 30, 2021
Built to Last: Functional and Structural Mechanisms in the Moth Olfactory Network Mitigate Effects of Neural InjuryCharles B Delahunt, Pedro D Maia, J Nathan Kutz
Lab on a Chip|May 1, 2014
A paper microfluidic cartridge for automated staining of malaria parasites with an optically transparent microscopy windowMatthew P Horning, Charles B Delahunt, S Ryan Singh, et al.
Plos Neglected Tropical Diseases|August 4, 2025
Multi-contrast machine learning improves schistosomiasis diagnostic performanceMaría Díaz de León Derby, Charles B Delahunt, Ethan Spencer, et al.
Malaria Journal|September 27, 2018
Automated microscopy for routine malaria diagnosis: a field comparison on Giemsa-stained blood films in PeruKatherine Torres, Christine M Bachman, Charles B Delahunt, et al.
Malaria Journal|February 26, 2021
Performance of a fully-automated system on a WHO malaria microscopy evaluation slide setMatthew P Horning, Charles B Delahunt, Christine M Bachman, et al.
PLOS Global Public Health|February 12, 2026
NTDscope: A multi-contrast portable microscope for disease diagnosisMaría Díaz de León Derby, Zaina L Moussa, Carlos F Ng, et al.
Malaria Journal|April 13, 2022
Field evaluation of the diagnostic performance of EasyScan GO: a digital malaria microscopy device based on machine-learningDebashish Das, Ranitha Vongpromek, Thanawat Assawariyathipat, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Neural Networks : the Official Journal of the International Neural Network Society|June 23, 2019
Putting a bug in ML: The moth olfactory network learns to read MNISTCharles B Delahunt, J Nathan Kutz
Frontiers in Computational Neuroscience|January 9, 2019
Biological Mechanisms for Learning: A Computational Model of Olfactory Learning in the <i>Manduca sexta</i> Moth, With Applications to Neural NetsCharles B Delahunt, Jeffrey A Riffell, J Nathan Kutz
Brain Sciences|April 30, 2021
Built to Last: Functional and Structural Mechanisms in the Moth Olfactory Network Mitigate Effects of Neural InjuryCharles B Delahunt, Pedro D Maia, J Nathan Kutz
Lab on a Chip|May 1, 2014
A paper microfluidic cartridge for automated staining of malaria parasites with an optically transparent microscopy windowMatthew P Horning, Charles B Delahunt, S Ryan Singh, et al.
Plos Neglected Tropical Diseases|August 4, 2025
Multi-contrast machine learning improves schistosomiasis diagnostic performanceMaría Díaz de León Derby, Charles B Delahunt, Ethan Spencer, et al.
Malaria Journal|September 27, 2018
Automated microscopy for routine malaria diagnosis: a field comparison on Giemsa-stained blood films in PeruKatherine Torres, Christine M Bachman, Charles B Delahunt, et al.
Malaria Journal|February 26, 2021
Performance of a fully-automated system on a WHO malaria microscopy evaluation slide setMatthew P Horning, Charles B Delahunt, Christine M Bachman, et al.
PLOS Global Public Health|February 12, 2026
NTDscope: A multi-contrast portable microscope for disease diagnosisMaría Díaz de León Derby, Zaina L Moussa, Carlos F Ng, et al.
Malaria Journal|April 13, 2022
Field evaluation of the diagnostic performance of EasyScan GO: a digital malaria microscopy device based on machine-learningDebashish Das, Ranitha Vongpromek, Thanawat Assawariyathipat, et al.
Pageof 1