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SaveIdentification of cardiac wall motion abnormalities in diverse populations by deep learning of the electrocardiogram
Rogers, Albert J.; Bhatia, Neal K.; Bandyopadhyay, Sabyasachi; Tooley, James; Ansari, Rayan; Thakkar, Vyom; Xu, Justin; Soto, Jessica Torres; Tung, Jagteshwar S.; Alhusseini, Mahmood I.; Clopton, Paul; Sameni, Reza; Clifford, Gari D.; Hughes, J. Weston; Ashley, Euan A.; Perez, Marco V.; Zaharia, Matei; Narayan, Sanjiv M.
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SaveNovel Domain Knowledge-Encoding Algorithm Enables Label-Efficient Deep Learning for Cardiac CT Segmentation to Guide Atrial Fibrillation Treatment in a Pilot Dataset
Ganesan, Prasanth; Feng, Ruibin; Deb, Brototo; Tjong, Fleur V. Y.; Rogers, Albert J.; Ruiperez-Campillo, Samuel; Somani, Sulaiman; Clopton, Paul; Baykaner, Tina; Rodrigo, Miguel; Zou, James; Haddad, Francois; Zaharia, Matei; Narayan, Sanjiv M.
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SaveEnhanced Identification of Cardiac Wall Motion Abnormalities: An Externally Validated Deep Neural Network Approach Outperforms Expert and Quantitative Analysis of Electrocardiograms
Rogers, Albert J.; Bhatia, Neal; Tooley, James; Thakkar, Vyom; Xu, Justin; Ansari, Rayan; Torres, Jessica; Tung, Jagteshwar; Alhusseini, Mahmood; Clopton, Paul L.; Sameni, Reza; Clifford, Gari; Ashley, Euan A.; Perez, Marco V.; Zaharia, Matei; Narayan, Sanjiv M.
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SaveAdvances, challenges and opportunities in creating data for trustworthy AI (vol 4, pg 669, 2022)
Liang, Weixin; Tadesse, Girmaw Abebe; Ho, Daniel; Fei-Fei, L.; Zaharia, Matei; Zhang, Ce; Zou, James
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SaveMachine Learned Cellular Phenotypes in Cardiomyopathy Predict Sudden Death
Rogers, Albert J.; Selvalingam, Anojan; Alhusseini, Mahmood, I; Krummen, David E.; Corrado, Cesare; Abuzaid, Firas; Baykaner, Tina; Meyer, Christian; Clopton, Paul; Giles, Wayne; Bailis, Peter; Niederer, Steven; Wang, Paul J.; Rappel, Wouter-Jan; Zaharia, Matei; Narayan, Sanjiv M.
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SaveMachine Learning to Classify Intracardiac Electrical Patterns During Atrial Fibrillation Machine Learning of Atrial Fibrillation
Alhusseini, Mahmood I.; Abuzaid, Firas; Rogers, Albert J.; Zaman, Junaid A. B.; Baykaner, Tina; Clopton, Paul; Bailis, Peter; Zaharia, Matei; Wang, Paul J.; Rappel, Wouter-Jan; Narayan, Sanjiv M.
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SaveApache Spark: A Unified Engine for Big Data Processing
Zaharia, Matei; Xin, Reynold S.; Wendell, Patrick; Das, Tathagata; Armbrust, Michael; Dave, Ankur; Meng, Xiangrui; Rosen, Josh; Venkataraman, Shivaram; Franklin, Michael J.; Ghodsi, Ali; Gonzalez, Joseph; Shenker, Scott; Stoica, Ion
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SaveA cloud-compatible bioinformatics pipeline for ultrarapid pathogen identification from next-generation sequencing of clinical samples
Naccache, Samia N.; Federman, Scot; Veeraraghavan, Narayanan; Zaharia, Matei; Lee, Deanna; Samayoa, Erik; Bouquet, Jerome; Greninger, Alexander L.; Luk, Ka-Cheung; Enge, Barryett; Wadford, Debra A.; Messenger, Sharon L.; Genrich, Gillian L.; Pellegrino, Kristen; Grard, Gilda; Leroy, Eric; Schneider, Bradley S.; Fair, Joseph N.; Martinez, Miguel A.; Isa, Pavel; Crump, John A.; DeRisi, Joseph L.; Sittler, Taylor; Hackett, John, Jr.; Miller, Steve; Chiu, Charles Y.
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SaveA View of Cloud Computing
Armbrust, Michael; Fox, Armando; Griffith, Rean; Joseph, Anthony D.; Katz, Randy; Konwinski, Andy; Lee, Gunho; Patterson, David; Rabkin, Ariel; Stoica, Ion; Zaharia, Matei
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