MH
Masoumeh Haghpanahi
Signal Processing, Computer-AssistedAlgorithmsArtificial IntelligenceCardiologistscs.CVElectrocardiographyModels, BiologicalModels, TheoreticalMonitoring, AmbulatoryNeural Networks, Computer
On Valency
published · living versionsW_4bw3veuq·v1 · currentpublished
Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks
with Pranav Rajpurkar, Awni Y. Hannun, Codie Bourn, Andrew Y. Ng
1 version
Preprints & journals
6 papers in the corpus · 2013–2019Publisher Correction: Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network.30679787 · Hannun, Awni Y, Rajpurkar, Pranav, Haghpanahi, Masoumeh et al.2019 · 55 citationsNature medicine. 2019;25(3):530
Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network.30617320 · Hannun, Awni Y, Rajpurkar, Pranav, Haghpanahi, Masoumeh et al.2019 · 3,140 citationsNature medicine. 2019;25(1):65-69
Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks1707.01836v1 · Pranav Rajpurkar, Awni Y. Hannun, Masoumeh Haghpanahi et al.2017 · 611 citationsarXivon Valency
Fetal QRS extraction from abdominal recordings via model-based signal processing and intelligent signal merging.25069479 · Haghpanahi, Masoumeh, Borkholder, David A2015 · 8 citationsPhysiological measurement. 2014;35(8):1591-605
Scoring consensus of multiple ECG annotators by optimal sequence alignment.25570339 · Haghpanahi, Masoumeh, Sameni, Reza, Borkholder, David A2016 · 2 citationsAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2014;2014:1855-9
Noninvasive technique for monitoring drug transport through the murine cochlea using micro-computed tomography.23636576 · Haghpanahi, Masoumeh, Gladstone, Miriam B, Zhu, Xiaoxia et al.2014 · 18 citationsAnnals of biomedical engineering. 2013;41(10):2130-42
Career total: 15 works. 6 are in this corpus.
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