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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

Krishna Kalpathy

Jayashree Vaidya

Claudia Cramer

Johannes Cramer

Other publications of authors with the same name

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)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)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)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)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)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)Split Learning for collaborative deep learning in healthcare.M. Poirot, P. Vepakomma, K. Chang, J. Kalpathy-Cramer, R. Gupta, and R. Raskar. CoRR, (2019)A generalized framework to predict continuous scores from medical ordinal labels.K. Hoebel, A. Lemay, J. Campbell, S. Ostmo, M. Chiang, C. Bridge, M. Li, P. Singh, A. Coyner, and J. Kalpathy-Cramer. CoRR, (2023)Improving the repeatability of deep learning models with Monte Carlo dropout.A. Lemay, K. Hoebel, C. Bridge, B. Befano, S. Sanjosé, D. Egemen, A. Rodriguez, M. Schiffman, J. Campbell, and J. Kalpathy-Cramer. npj Digit. Medicine, (2022)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)

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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

Krishna Kalpathy

Jayashree Vaidya

Claudia Cramer

Johannes 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

Krishna Kalpathy

Jayashree Vaidya

Claudia Cramer

Johannes Cramer

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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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.