Parmita Mehta

Comparative Evaluation of Big-Data Systems on Scientific Image Analytics Workloads pdf

Alvin Cheung, Magdalena Balazinska, Andrew J. Connolly, 2016, Proc. VLDB Endow..

Sampling for Deep Learning Model Diagnosis

M. Balazinska, Parmita Mehta, S. Portillo, 2020 .

Data-Driven, Feature-Agnostic Deep Learning vs Retinal Nerve Fiber Layer Thickness for the Diagnosis of Glaucoma.

Aaron Y. Lee, Parmita Mehta, C. Petersen, 2020, JAMA ophthalmology.

Large Scale Analytics on Scientific Image Data

Parmita Mehta, 2020 .

Multilabel multiclass classification of OCT images augmented with age, gender and visual acuity data

Magdalena Balazinska, Ariel Rokem, Parmita Mehta, 2018, bioRxiv.

Automated detection of glaucoma with interpretable machine learning using clinical data and multi-modal retinal images.

Philip P. Chen, Aaron Y. Lee, Su-In Lee, 2021, American journal of ophthalmology.

Toward Sampling for Deep Learning Model Diagnosis

Magdalena Balazinska, Parmita Mehta, Andrew Connolly, 2020, 2020 IEEE 36th International Conference on Data Engineering (ICDE).

The Myria Big Data Management and Analytics System and Cloud Services

Dan Suciu, Magdalena Balazinska, Shrainik Jain, 2017, CIDR.

Automated detection of glaucoma with interpretable machine learning using clinical data and multi-modal retinal images

Magdalena Balazinska, Ariel Rokem, Parmita Mehta, 2020, bioRxiv.