Matthew P. Horning

According to our database, Matthew P. Horning authored at least 8 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

How Good Are Synthetic Medical Images? An Empirical Study with Lung Ultrasound.

Menghan Yu, Sourabh Kulhare, Courosh Mehanian, Charles B. Delahunt, Daniel E. Shea, Zohreh Laverriere, Ishan Shah, Matthew P. Horning

Proceedings of the Simulation and Synthesis in Medical Imaging, 2023

Deep Learning Video Classification of Lung Ultrasound Features Associated with Pneumonia.

Daniel E. Shea, Sourabh Kulhare, Rachel Millin, Zohreh Laverriere, Courosh Mehanian, Charles B. Delahunt, Dipayan Banik, Xinliang Zheng, Meihua Zhu, Ye Ji, Travis Ostbye, Martha-Marie S. Mehanian, Atinuke Uwajeh, Adeseye M. Akinsete, Fen Wang, Matthew P. Horning

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Use case-focused metrics to evaluate machine learning for diseases involving parasite loads.

Charles B. Delahunt, Noni Gachuhi, Matthew P. Horning

CoRR, 2022

2020

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

Liming Hu, Matthew P. Horning, Dipayan Banik, Olusegun Kayode Ajenifuja, Clement Akinfolarin Adepiti, Karen Yeates, Zac Mtema, Ben Wilson, Courosh Mehanian

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information.

Charles B. Delahunt, Mayoore S. Jaiswal, Matthew P. Horning, Samantha Janko, Clay M. Thompson, Sourabh Kulhare, Liming Hu, Travis Ostbye, Grace Yun, Roman Gebrehiwot, Benjamin K. Wilson, Earl Long, Stephane Proux, Dionicia Gamboa, Peter Chiodini, Jane Carter, Mehul Dhorda, David Isaboke, Bernhards Ogutu, Wellington Oyibo, Elizabeth Villasis, Kyaw Myo Tun, Christine Bachman, David Bell, Courosh Mehanian

CoRR, 2019

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

Charles B. Delahunt, Roman Gebrehiwot, Benjamin K. Wilson, Earl Long, Stephane Proux, Dionicia Gamboa, Peter Chiodini, Jane Carter, Mehul Dhorda, David Isaboke, Bernhards Ogutu, Mayoore S. Jaiswal, Wellington Oyibo, Elizabeth Villasis, Kyaw Myo Tun, Christine Bachman, David Bell, Courosh Mehanian, Matthew P. Horning, Samantha Janko, Clay M. Thompson, Sourabh Kulhare, Liming Hu, Travis Ostbye, Grace Yun

Proceedings of the IEEE Global Humanitarian Technology Conference, 2019

2017

Computer-Automated Malaria Diagnosis and Quantitation Using Convolutional Neural Networks.

Courosh Mehanian, Mayoore S. Jaiswal, Charles B. Delahunt, Clay Thompson, Matthew P. Horning, Liming Hu, Shawn K. McGuire, Travis Ostbye, Martha Mehanian, Benjamin K. Wilson, Cary R. Champlin, Earl Long, Stephane Proux, Dionicia Gamboa, Peter Chiodini, Jane Carter, Mehul Dhorda, David Isaboke, Bernhards Ogutu, Wellington Oyibo, Elizabeth Villasis, Kyaw Myo Tun, Christine Bachman, David Bell

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2015

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

Charles B. Delahunt, Courosh Mehanian, Liming Hu, Shawn K. McGuire, Cary R. Champlin, Matthew P. Horning, Benjamin K. Wilson, Clay M. Thompson

Proceedings of the 2015 IEEE Global Humanitarian Technology Conference, 2015