Search Results - "Matthew P Horning"

An Observational Study of Deep Learning and Automated Evaluation of Cervical Images for Cancer Screening by Hu, Liming, Bell, David, Antani, Sameer, Xue, Zhiyun, Yu, Kai, Horning, Matthew P, Gachuhi, Noni, Wilson, Benjamin, Jaiswal, Mayoore S, Befano, Brian, Long, L Rodney, Herrero, Rolando, Einstein, Mark H, Burk, Robert D, Demarco, Maria, Gage, Julia C, Rodriguez, Ana Cecilia, Wentzensen, Nicolas, Schiffman, Mark

“…Human papillomavirus vaccination and cervical screening are lacking in most lower resource settings, where approximately 80% of more than 500 000 cancer cases…”
Get full text

Development and testing of a deep learning algorithm to detect lung consolidation among children with pneumonia using hand-held ultrasound by Kessler, David, Zhu, Meihua, Gregory, Cynthia R, Mehanian, Courosh, Avila, Jailyn, Avitable, Nick, Coneybeare, Di, Das, Devjani, Dessie, Almaz, Kennedy, Thomas M, Rabiner, Joni, Malia, Laurie, Ng, Lorraine, Nye, Megan, Vindas, Marc, Weimersheimer, Peter, Kulhare, Sourabh, Millin, Rachel, Gregory, Kenton, Zheng, Xinliang, Horning, Matthew P, Stone, Mike, Wang, Fen, Lancioni, Christina

“…Severe pneumonia is the leading cause of death among young children worldwide, disproportionately impacting children who lack access to advanced diagnostic…”
Get full text

Performance of a fully-automated system on a WHO malaria microscopy evaluation slide set by Horning, Matthew P, Delahunt, Charles B, Bachman, Christine M, Luchavez, Jennifer, Luna, Christian, Hu, Liming, Jaiswal, Mayoore S, Thompson, Clay M, Kulhare, Sourabh, Janko, Samantha, Wilson, Benjamin K, Ostbye, Travis, Mehanian, Martha, Gebrehiwot, Roman, Yun, Grace, Bell, David, Proux, Stephane, Carter, Jane Y, Oyibo, Wellington, Gamboa, Dionicia, Dhorda, Mehul, Vongpromek, Ranitha, Chiodini, Peter L, Ogutu, Bernhards, Long, Earl G, Tun, Kyaw, Burkot, Thomas R, Lilley, Ken, Mehanian, Courosh

“…Manual microscopy remains a widely-used tool for malaria diagnosis and clinical studies, but it has inconsistent quality in the field due to variability in…”
Get full text

Internal validation of Automated Visual Evaluation (AVE) on smartphone images for cervical cancer screening in a prospective study in Zambia by Hu, Liming, Mwanahamuntu, Mulindi H., Sahasrabuddhe, Vikrant V., Barrett, Caroline, Horning, Matthew P., Shah, Ishan, Laverriere, Zohreh, Banik, Dipayan, Ji, Ye, Shibemba, Aaron Lunda, Chisele, Samson, Munalula, Mukatimui Kalima, Kaunga, Friday, Musonda, Francis, Malyangu, Evans, Hariharan, Karen Milch, Parham, Groesbeck P.

“…Objectives Visual inspection with acetic acid (VIA) is a low‐cost approach for cervical cancer screening used in most low‐ and middle‐income countries (LMICs)…”
Get full text

Field evaluation of the diagnostic performance of EasyScan GO: a digital malaria microscopy device based on machine-learning by Das, Debashish, Vongpromek, Ranitha, Assawariyathipat, Thanawat, Srinamon, Ketsanee, Kennon, Kalynn, Stepniewska, Kasia, Ghose, Aniruddha, Sayeed, Abdullah Abu, Faiz, M Abul, Netto, Rebeca Linhares Abreu, Siqueira, Andre, Yerbanga, Serge R, Ouédraogo, Jean Bosco, Callery, James J, Peto, Thomas J, Tripura, Rupam, Koukouikila-Koussounda, Felix, Ntoumi, Francine, Ong'echa, John Michael, Ogutu, Bernhards, Ghimire, Prakash, Marfurt, Jutta, Ley, Benedikt, Seck, Amadou, Ndiaye, Magatte, Moodley, Bhavani, Sun, Lisa Ming, Archasuksan, Laypaw, Proux, Stephane, Nsobya, Sam L, Rosenthal, Philip J, Horning, Matthew P, McGuire, Shawn K, Mehanian, Courosh, Burkot, Stephen, Delahunt, Charles B, Bachman, Christine, Price, Ric N, Dondorp, Arjen M, Chappuis, François, Guérin, Philippe J, Dhorda, Mehul

“…Microscopic examination of Giemsa-stained blood films remains the reference standard for malaria parasite detection and quantification, but is undermined by…”
Get full text

Limitations of haemozoin-based diagnosis of Plasmodium falciparum using dark-field microscopy by Delahunt, Charles, Horning, Matthew P, Wilson, Benjamin K, Proctor, Joshua L, Hegg, Michael C

“…The haemozoin crystal continues to be investigated extensively for its potential as a biomarker for malaria diagnostics. In order for haemozoin to be a…”
Get full text

An Observational Study of Deep Learning and Automated Evaluation of Cervical Images for Cancer Screening by Hu, Liming, Bell, David, Antani, Sameer, Xue, Zhiyun, Yu, Kai, Horning, Matthew P, Gachuhi, Noni, Wilson, Benjamin, Jaiswal, Mayoore S, Befano, Brian, Long, L Rodney, Herrero, Rolando, Einstein, Mark H, Burk, Robert D, Demarco, Maria, Gage, Julia C, Rodriguez, Ana Cecilia, Wentzensen, Nicolas, Schiffman, Mark

“…(Abstracted from J Natl Cancer Inst 2019; doi10.1093/jnci/djy225)Ninety-nine percent of cervical cancers cases are caused by infections with a human…”
Get full text

Detection of malarial byproduct hemozoin utilizing its unique scattering properties by Wilson, Benjamin K, Behrend, Matthew R, Horning, Matthew P, Hegg, Michael C

“…The scattering characteristics of the malaria byproduct hemozoin, including its scattering distribution and depolarization, are modeled using Discrete Dipole…”
Get full text

A paper microfluidic cartridge for automated staining of malaria parasites with an optically transparent microscopy window by Horning, Matthew P, Delahunt, Charles B, Singh, S Ryan, Garing, Spencer H, Nichols, Kevin P

“…A paper microfluidic cartridge for the automated staining of malaria parasites (Plasmodium) with acridine orange prior to microscopy is presented. The…”
Get more information

Deep learning-based image evaluation for cervical precancer screening with a smartphone targeting low resource settings - Engineering approach by Hu, Liming, Horning, Matthew P., Banik, Dipayan, Ajenifuja, Olusegun Kayode, Adepiti, Clement Akinfolarin, Yeates, Karen, Mtema, Zac, Wilson, Ben, Mehanian, Courosh

“…Cervical cancer is the fourth most common cancer among women and still one of the major causes of women's death around the world. Early screening of high grade…”
Get full text

Deep Learning Video Classification of Lung Ultrasound Features Associated with Pneumonia by Shea, Daniel E, Kulhare, Sourabh, Millin, Rachel, Laverriere, Zohreh, Mehanian, Courosh, Delahunt, Charles B, Banik, Dipayan, Zheng, Xinliang, Zhu, Meihua, Ji, Ye, Ostbye, Travis, Mehanian, Martha-Marie S, Uwajeh, Atinuke, Akinsete, Adeseye M, Wang, Fen, Horning, Matthew P

“…Ultrasound (US) imaging holds promise as a low-cost versatile, non-invasive point-of-care diagnostic modality in low-and middle-income countries (LMICs)…”
Get full text

Metrics to guide development of machine learning algorithms for malaria diagnosis by Delahunt, Charles B., Gachuhi, Noni, Horning, Matthew P.

“…Automated malaria diagnosis is a difficult but high-value target for machine learning (ML), and effective algorithms could save many thousands of children’s…”
Get full text

Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images by Delahunt, Charles B., Gebrehiwot, Roman, Wilson, Benjamin K., Long, Earl, Proux, Stephane, Gamboa, Dionicia, Chiodini, Peter, Carter, Jane, Dhorda, Mehul, Isaboke, David, Ogutu, Bernhards, Jaiswal, Mayoore S., Oyibo, Wellington, Villasis, Elizabeth, Tun, Kyaw Myo, Bachman, Christine, Bell, David, Mehanian, Courosh, Horning, Matthew P., Janko, Samantha, Thompson, Clay M., Kulhare, Sourabh, Hu, Liming, Ostbye, Travis, Yun, Grace

“…Malaria is a life-threatening disease affecting millions. Microscopy-based assessment of thin blood films is a standard method to (i) determine malaria species…”
Get full text

Nanogap quantum dot photodetectors with high sensitivity and bandwidth by Hegg, Michael C., Horning, Matthew P., Baehr-Jones, Tom, Hochberg, Michael, Lin, Lih Y.

“…We report high-performance nanoscale photodetectors utilizing annealed nanocrystal quantum dots (QDs) within a nanoscale metal electrode gap. By optimizing the…”
Get full text

Automated microscopy and machine learning for expert-level malaria field diagnosis by Delahunt, Charles B., Mehanian, Courosh, Liming Hu, McGuire, Shawn K., Champlin, Cary R., Horning, Matthew P., Wilson, Benjamin K., Thompon, Clay M.

“…The optical microscope is one of the most widely used tools for diagnosing infectious diseases in the developing world. Due to its reliance on trained…”
Get full text

Evaluation of an automated microscope using machine learning for the detection of malaria in travelers returned to the UK by Rees-Channer, Roxanne R., Bachman, Christine M., Grignard, Lynn, Gatton, Michelle L., Burkot, Stephen, Horning, Matthew P., Delahunt, Charles B., Hu, Liming, Mehanian, Courosh, Thompson, Clay M., Woods, Katherine, Lansdell, Paul, Shah, Sonal, Chiodini, Peter L.

Get full text

Development and testing of a deep learning algorithm to detect lung consolidation among children with pneumonia using hand-held ultrasound by David Kessler, Meihua Zhu, Cynthia R Gregory, Courosh Mehanian, Jailyn Avila, Nick Avitable, Di Coneybeare, Devjani Das, Almaz Dessie, Thomas M Kennedy, Joni Rabiner, Laurie Malia, Lorraine Ng, Megan Nye, Marc Vindas, Peter Weimersheimer, Sourabh Kulhare, Rachel Millin, Kenton Gregory, Xinliang Zheng, Matthew P Horning, Mike Stone, Fen Wang, Christina Lancioni

“…Background and objectivesSevere pneumonia is the leading cause of death among young children worldwide, disproportionately impacting children who lack access…”
Get full text

Driving down Poisson error can offset classification error in clinical tasks by Delahunt, Charles B, Mehanian, Courosh, Horning, Matthew P

“…Medical machine learning algorithms are typically evaluated based on accuracy vs. a clinician-defined ground truth, a reasonable initial choice since trained…”
Get full text

Metrics to guide development of machine learning algorithms for malaria diagnosis by Delahunt, Charles B, Gachuhi, Noni, Horning, Matthew P

“…Automated malaria diagnosis is a difficult but high-value target for machine learning (ML), and effective algorithms could save many thousands of children's…”
Get full text

How Good Are Synthetic Medical Images? An Empirical Study with Lung Ultrasound by Yu, Menghan, Kulhare, Sourabh, Mehanian, Courosh, Delahunt, Charles B, Shea, Daniel E, Laverriere, Zohreh, Shah, Ishan, Horning, Matthew P

“…Acquiring large quantities of data and annotations is known to be effective for developing high-performing deep learning models, but is difficult and expensive…”
Get full text