Matthew P. Horning

Computer-Automated Malaria Diagnosis and Quantitation Using Convolutional Neural Networks

Peter Chiodini, David Bell, Mayoore S. Jaiswal, 2017, 2017 IEEE International Conference on Computer Vision Workshops (ICCVW).

Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images

Jane Carter, Mayoore S. Jaiswal, Samantha Janko, 2019, 2019 IEEE Global Humanitarian Technology Conference (GHTC).

Deep learning-based image evaluation for cervical precancer screening with a smartphone targeting low resource settings – Engineering approach

Courosh Mehanian, Matthew P. Horning, Liming Hu, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

A nano-scale quantum dot photodetector by self-assembly

Lih Y. Lin, Matthew P. Horning, Lih Y. Lin, 2005, SPIE Optics East.

1.3-μm GaAsSb/GaAs VCSELs

Stewart A. Feld, Matthew P. Horning, Shane Johnson, 2003, SPIE ITCom.

Automated microscopy and machine learning for expert-level malaria field diagnosis

Shawn K. McGuire, Charles B. Delahunt, Courosh Mehanian, 2015, 2015 IEEE Global Humanitarian Technology Conference (GHTC).

The Challenges and Prospects of Microscopy and Biophotonics in Low Resource Settings

Charles B. Delahunt, Courosh Mehanian, Mayoore S. Jaiswal, 2018 .

Nanogap quantum dot photodetectors with high sensitivity and bandwidth

Michael Hochberg, Matthew P. Horning, Lih Y. Lin, 2010 .