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Automated Detection of Glaucoma With Interpretable Machine Learning Using Clinical Data and Multimodal Retinal Images
by
Mehta, Parmita
,
Petersen, Christine A.
,
Wen, Joanne C.
,
Banitt, Michael R.
,
Chen, Philip P.
,
Bojikian, Karine D.
,
Egan, Catherine
,
Lee, Su-In
,
Balazinska, Magdalena
,
Lee, Aaron Y.
,
Rokem, Ariel
Published in
American journal of ophthalmology
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Comparative evaluation of big-data systems on scientific image analytics workloads
by
Mehta, Parmita
,
Dorkenwald, Sven
,
Zhao, Dongfang
,
Kaftan, Tomer
,
Cheung, Alvin
,
Balazinska, Magdalena
,
Rokem, Ariel
,
Connolly, Andrew
,
Vanderplas, Jacob
,
AlSayyad, Yusra
Published in
Proceedings of the VLDB Endowment
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Automated detection of glaucoma with interpretable machine learning using clinical data and multi-modal retinal images
by
Mehta, Parmita
,
Petersen, Christine A.
,
Wen, Joanne C.
,
Banitt, Michael R.
,
Chen, Philip P.
,
Bojikian, Karine D.
,
Egan, Catherine
,
Lee, Su-In
,
Balazinska, Magdalena
,
Lee, Aaron Y.
,
Rokem, Ariel
Published in
American journal of ophthalmology
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Toward Sampling for Deep Learning Model Diagnosis
by
Mehta, Parmita
,
Portillo, Stephen
,
Balazinska, Magdalena
,
Connolly, Andrew
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Conference Proceeding
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Sampling for Deep Learning Model Diagnosis (Technical Report)
by
Mehta, Parmita
,
Portillo, Stephen
,
Balazinska, Magdalena
,
Connolly, Andrew
Published in
arXiv.org
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Comparative Evaluation of Big-Data Systems on Scientific Image Analytics Workloads
by
Mehta, Parmita
,
Dorkenwald, Sven
,
Zhao, Dongfang
,
Kaftan, Tomer
,
Cheung, Alvin
,
Balazinska, Magdalena
,
Rokem, Ariel
,
Connolly, Andrew
,
Vanderplas, Jacob
,
AlSayyad, Yusra
Published in
arXiv.org
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