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Dealing with inter-expert variability in retinopathy of prematurity: A machine learning approach.

V. Bolón-Canedo, E. Cansizoglu, D. Erdogmus, J. Kalpathy-Cramer, O. Fontenla-Romero, A. Alonso-Betanzos, and M. Chiang. Comput. Methods Programs Biomed., 122 (1): 1-15 (2015)

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Jayashree Subramanian

Jayashree Vaidya

Krishna Kalpathy

Renate Cramer

Jürgen Cramer

Other publications of authors with the same name

Automatic Image Modality Based Classification and Annotation to Improve Medical Image Retrieval.J. Kalpathy-Cramer, and W. Hersh. MedInfo, volume 129 of Studies in Health Technology and Informatics, page 1334-1338. IOS Press, (2007)Variational Inference from Ranked Samples with Features.Y. Guo, J. Dy, D. Erdogmus, J. Kalpathy-Cramer, S. Ostmo, J. Campbell, M. Chiang, and S. Ioannidis. ACML, volume 101 of Proceedings of Machine Learning Research, page 599-614. PMLR, (2019)Contour-based shape representation using principal curves.E. Cansizoglu, E. Bas, J. Kalpathy-Cramer, G. Sharp, and D. Erdogmus. Pattern Recognit., 46 (4): 1140-1150 (2013)A decade of community-wide efforts in advancing medical images understanding and retrievalD. Demner-Fushman, H. Müller, J. Kalpathy-Cramer, and S. Antani. Computerized Medical Imaging and Graphics, (2014)The ImageCLEF Medical Retrieval Task at ICPR 2010 - Information Fusion to Combine Visual and Textual Information.H. Müller, and J. Kalpathy-Cramer. ICPR Contests, volume 6388 of Lecture Notes in Computer Science, page 99-108. Springer, (2010)DeepNeuro: an open-source deep learning toolbox for neuroimaging.A. Beers, J. Brown, K. Chang, K. Hoebel, J. Patel, K. Ly, S. Tolaney, P. Brastianos, B. Rosen, E. Gerstner and 1 other author(s). Neuroinformatics, 19 (1): 127-140 (2021)Classification and comparison via neural networks.I. Yildiz, P. Tian, J. Dy, D. Erdogmus, J. Brown, J. Kalpathy-Cramer, S. Ostmo, J. Campbell, M. Chiang, and S. Ioannidis. Neural Networks, (2019)Dealing with inter-expert variability in retinopathy of prematurity: A machine learning approach.V. Bolón-Canedo, E. Cansizoglu, D. Erdogmus, J. Kalpathy-Cramer, O. Fontenla-Romero, A. Alonso-Betanzos, and M. Chiang. Comput. Methods Programs Biomed., 122 (1): 1-15 (2015)Web based tools for visualizing imaging data and development of XNATView, a zero footprint image viewer.D. Gutman, W. Dunn, J. Cobb, R. Stoner, J. Kalpathy-Cramer, and B. Erickson. Frontiers Neuroinformatics, (2014)Split Learning for collaborative deep learning in healthcare.M. Poirot, P. Vepakomma, K. Chang, J. Kalpathy-Cramer, R. Gupta, and R. Raskar. CoRR, (2019)

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Disambiguation of "Kalpathy-Cramer, Jayashree"

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Dealing with inter-expert variability in retinopathy of prematurity: A machine learning approach.

Please choose a person to relate this publication to

Jayashree Subramanian

Jayashree Vaidya

Krishna Kalpathy

Renate Cramer

Jürgen Cramer

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Kalpathy-Cramer, Jayashree"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Dealing with inter-expert variability in retinopathy of prematurity: A machine learning approach.

Please choose a person to relate this publication to

Jayashree Subramanian

Jayashree Vaidya

Krishna Kalpathy

Renate Cramer

Jürgen Cramer

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Dealing with inter-expert variability in retinopathy of prematurity: A machine learning approach.