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

C. Mehanian, M. Jaiswal, C. Delahunt, C. Thompson, M. Horning, L. Hu, S. McGuire, T. Ostbye, M. Mehanian, B. Wilson, C. Champlin, E. Long, S. Proux, D. Gamboa, P. Chiodini, J. Carter, M. Dhorda, D. Isaboke, B. Ogutu, W. Oyibo, E. Villasis, K. Tun, C. Bachman, and D. Bell. ICCV Workshops, page 116-125. IEEE Computer Society, (2017)

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Bernd Hörning

Peter Hörning

Ingrid Hörning

Markus Horning

Martin Hörning

Other publications of authors with the same name

Automated microscopy and machine learning for expert-level malaria field diagnosis.C. Delahunt, C. Mehanian, L. Hu, S. McGuire, C. Champlin, M. Horning, B. Wilson, and C. Thompson. GHTC, page 393-399. IEEE, (2015)Deep Learning Video Classification of Lung Ultrasound Features Associated with Pneumonia.D. Shea, S. Kulhare, R. Millin, Z. Laverriere, C. Mehanian, C. Delahunt, D. Banik, X. Zheng, M. Zhu, Y. Ji and 6 other author(s). CVPR Workshops, page 3103-3112. IEEE, (2023)Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information.C. Delahunt, M. Jaiswal, M. Horning, S. Janko, C. Thompson, S. Kulhare, L. Hu, T. Ostbye, G. Yun, R. Gebrehiwot and 15 other author(s). CoRR, (2019)How Good Are Synthetic Medical Images? An Empirical Study with Lung Ultrasound.M. Yu, S. Kulhare, C. Mehanian, C. Delahunt, D. Shea, Z. Laverriere, I. Shah, and M. Horning. SASHIMI@MICCAI, volume 14288 of Lecture Notes in Computer Science, page 75-85. Springer, (2023)Computer-Automated Malaria Diagnosis and Quantitation Using Convolutional Neural Networks.C. Mehanian, M. Jaiswal, C. Delahunt, C. Thompson, M. Horning, L. Hu, S. McGuire, T. Ostbye, M. Mehanian, B. Wilson and 14 other author(s). ICCV Workshops, page 116-125. IEEE Computer Society, (2017)Use case-focused metrics to evaluate machine learning for diseases involving parasite loads.C. Delahunt, N. Gachuhi, and M. Horning. CoRR, (2022)Deep learning-based image evaluation for cervical precancer screening with a smartphone targeting low resource settings - Engineering approach.L. Hu, M. Horning, D. Banik, O. Ajenifuja, C. Adepiti, K. Yeates, Z. Mtema, B. Wilson, and C. Mehanian. EMBC, page 1944-1949. IEEE, (2020)Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images.C. Delahunt, R. Gebrehiwot, B. Wilson, E. Long, S. Proux, D. Gamboa, P. Chiodini, J. Carter, M. Dhorda, D. Isaboke and 15 other author(s). GHTC, page 1-8. IEEE, (2019)

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Disambiguation of "Horning, Matthew P."

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

Please choose a person to relate this publication to

Bernd Hörning

Peter Hörning

Ingrid Hörning

Markus Horning

Martin Hörning

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Horning, Matthew P."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Computer-Automated Malaria Diagnosis and Quantitation Using Convolutional Neural Networks.

Please choose a person to relate this publication to

Bernd Hörning

Peter Hörning

Ingrid Hörning

Markus Horning

Martin Hörning

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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MSOffice XML

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