| 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 | 123 | 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 | 104 | 2017 |
| 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 | 74 | 2018 |
| Image analysis systems and related methods CR Champlin, C Delahunt, MP Horning, L Hu, SK McGuire, C Mehanian, ... US Patent 10,061,972, 2018 | 70* | 2018 |
| 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 | 51 | 2014 |
| 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 | 49 | 2015 |
| Image analysis systems and related methods CR Champlin, C Delahunt, MP Horning, L Hu, SK McGuire, C Mehanian, ... US Patent 9,836,839, 2017 | 44 | 2017 |
| 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 | 37 | 2021 |
| 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 | 31 | 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 | 31 | 2014 |
| A toolkit for data-driven discovery of governing equations in high-noise regimes CB Delahunt, JN Kutz IEEE Access 10, 31210-31234, 2022 | 30 | 2022 |
| Putting a bug in ML: The moth olfactory network learns to read MNIST CB Delahunt, JN Kutz Neural Networks 118, 54-64, 2019 | 30 | 2019 |
| 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 | 24 | 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 | 19 | 2019 |
| Devices and methods for staining and microscopy C Delahunt, D Gasperino, MP Horning, KPF Nichols, BK Wilson US Patent 9,453,996, 2016 | 13 | 2016 |
| 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 | 7 | 2023 |
| 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 | 4 | 2022 |
| 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 | 4 | 2012 |
| 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 | 3 | 2023 |
| Predicting United States policy outcomes with random forests S McGuire, C Delahunt arXiv preprint arXiv:2008.07338, 2020 | 3 | 2020 |
