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Camelia D. Brumar
Camelia D. Brumar
Other namesCamelia Brumar
Verified email at tufts.edu - Homepage
Title
Cited by
Cited by
Year
A log-rectilinear transformation for foveated 360-degree video streaming
D Li, R Du, A Babu, CD Brumar, A Varshney
IEEE Transactions on Visualization and Computer Graphics 27 (5), 2638-2647, 2021
292021
Characterization of an artificial intelligence model for ranking static images of blastocyst stage embryos
K Loewke, JH Cho, CD Brumar, P Maeder-York, O Barash, JE Malmsten, ...
Fertility and Sterility 117 (3), 528-535, 2022
282022
Application of approximate matrix multiplication to neural networks and distributed SLAM
B Plancher, CD Brumar, I Brumar, L Pentecost, S Rama, D Brooks
2019 IEEE High Performance Extreme Computing Conference (HPEC), 1-7, 2019
72019
Knowledge graphs in practice: Characterizing their users, challenges, and visualization opportunities
H Li, G Appleby, CD Brumar, R Chang, A Suh
IEEE Transactions on Visualization and Computer Graphics, 2023
12023
PIXAL: Anomaly Reasoning with Visual Analytics
B Montambault, CD Brumar, M Behrisch, R Chang
arXiv preprint arXiv:2205.11004, 2022
12022
RekomGNN: Visualizing, Contextualizing and Evaluating Graph Neural Networks Recommendations
CD Brumar, G Appleby, J Rogers, T Matinde, L Thompson, R Chang, ...
arXiv preprint arXiv:2310.11562, 2023
2023
Characterizing the Users, Challenges, and Visualization Needs of Knowledge Graphs in Practice
H Li, G Appleby, CD Brumar, R Chang, A Suh
arXiv preprint arXiv:2304.01311, 2023
2023
A NOVEL APPROACH FOR RETROSPECTIVELY ESTIMATING THE EFFICIENCY OF PGT-A TESTING
JH Cho, FM Armijo, M Fanton, CD Brumar, K Miller, D Hoffman, ...
Fertility and Sterility 118 (4), e352, 2022
2022
Large-scale simulation of pregnancy rate improvements using an AI model for embryo ranking
JH Cho, A Ehlers, C Brumar, P Maeder-York, O Barash, J Malmsten, ...
HUMAN REPRODUCTION 37, 272-273, 2022
2022
Sensitivity analysis of an embryo grading artificial intelligence model to different focal planes
JH Cho, CD Brumar, P Maeder-York, O Barash, J Malmsten, N Zaninovic, ...
HUMAN REPRODUCTION 37, 271-272, 2022
2022
P-171 Sensitivity analysis of an embryo grading artificial intelligence model to different focal planes
JH Cho, CD Brumar, P Maeder-York, O Barash, J Malmsten, N Zaninovic, ...
Human Reproduction 37 (Supplement_1), deac107. 166, 2022
2022
P-173 Large-scale simulation of pregnancy rate improvements using an AI model for embryo ranking
JH Cho, A Ehlers, C Brumar, P Maeder-York, O Barash, J Malmsten, ...
Human Reproduction 37 (Supplement_1), deac107. 168, 2022
2022
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