Matthew P. Horning

12 papers Journal 5Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond validation loss: Clinically-tailored optimization metrics improve a model's clinical performance. CoRR Charles B. Delahunt, Courosh Mehanian, Daniel E. Shea, Matthew P. Horning
2024	J	`jnl`	Driving down Poisson error can offset classification error in clinical tasks. CoRR Charles B. Delahunt, Courosh Mehanian, Matthew P. Horning
2024	—	`conf`	Reducing Poisson error can offset classification error: a technique to meet clinical performance requirements. ML4H@NeurIPS Charles B. Delahunt, Courosh Mehanian, Matthew P. Horning
2023	—	`conf`	Deep Learning Video Classification of Lung Ultrasound Features Associated with Pneumonia. CVPR Workshops 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
2023	—	`conf`	How Good Are Synthetic Medical Images? An Empirical Study with Lung Ultrasound. SASHIMI@MICCAI Menghan Yu, Sourabh Kulhare, Courosh Mehanian, Charles B. Delahunt, Daniel E. Shea, Zohreh Laverriere, Ishan Shah, Matthew P. Horning
2023	J	`jnl`	How Good Are Synthetic Medical Images? An Empirical Study with Lung Ultrasound. CoRR Menghan Yu, Sourabh Kulhare, Courosh Mehanian, Charles B. Delahunt, Daniel E. Shea, Zohreh Laverriere, Ishan Shah, Matthew P. Horning
2022	J	`jnl`	Use case-focused metrics to evaluate machine learning for diseases involving parasite loads. CoRR Charles B. Delahunt, Noni Gachuhi, Matthew P. Horning
2020	—	`conf`	Deep learning-based image evaluation for cervical precancer screening with a smartphone targeting low resource settings - Engineering approach. EMBC Liming Hu, Matthew P. Horning, Dipayan Banik, Olusegun Kayode Ajenifuja, Clement Akinfolarin Adepiti, Karen Yeates, Zac Mtema, Ben Wilson, Courosh Mehanian
2019	J	`jnl`	Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information. CoRR 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
2019	—	`conf`	Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images. GHTC 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
2017	—	`conf`	Computer-Automated Malaria Diagnosis and Quantitation Using Convolutional Neural Networks. ICCV Workshops Courosh Mehanian, Mayoore S. Jaiswal, Charles B. Delahunt, Clay Thompson, Matthew P. Horning, Liming Hu, Shawn K. McGuire, Travis Ostbye, Martha Mehanian, Ben 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
2015	—	`conf`	Automated microscopy and machine learning for expert-level malaria field diagnosis. GHTC Charles B. Delahunt, Courosh Mehanian, Liming Hu, Shawn K. McGuire, Cary R. Champlin, Matthew P. Horning, Benjamin K. Wilson, Clay M. Thompson