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Daniel Treiman
Daniel Treiman
Xcimer Energy, Inc.
Verified email at xcimer.net
Title
Cited by
Cited by
Year
Development and validation of a deep-learning model to screen for hyperkalemia from the electrocardiogram
CD Galloway, AV Valys, JB Shreibati, DL Treiman, FL Petterson, ...
JAMA cardiology 4 (5), 428-436, 2019
2432019
Non-invasive detection of hyperkalemia with a smartphone electrocardiogram and artificial intelligence
CD Galloway, AV Valys, FL Petterson, VP Gundotra, DL Treiman, ...
Journal of the American College of Cardiology 71 (11S), A272-A272, 2018
212018
Systems and methods of analyte measurement analysis
CDC Galloway, AV Valys, FL Petterson, D Treiman
US Patent 11,915,825, 2024
142024
Methods and Systems Related to Monetization Plug-Ins in Interactive Multimedia Applications
MA Agustin, WR Garretsen, S Subramanian, DL Treiman
US Patent App. 13/346,900, 2013
142013
Rich media messaging systems and methods
M Agustin, H Jang, B Taylor, D Treiman
US Patent App. 14/280,433, 2015
122015
Atrial fibrillation detection in outpatient electrocardiogram monitoring: An algorithmic crowdsourcing approach
A Bahrami Rad, C Galloway, D Treiman, J Xue, Q Li, R Sameni, D Albert, ...
Plos one 16 (11), e0259916, 2021
82021
Methods and systems related to creation of interactive multimdedia applications
M Agustin, DL Treiman
US Patent App. 13/033,408, 2011
72011
Methods and Systems Related to Template Code Generator
DL Treiman
US Patent App. 13/448,983, 2013
52013
5105 a deep neural network predicts atrial fibrillation from normal ecgs recorded on a smartphone-enabled device
C Galloway, D Treiman, J Shreibati, M Schram, Z Karbaschi, A Valys, ...
European Heart Journal 40 (Supplement_1), ehz746. 0041, 2019
42019
A deep neural network predicts atrial fibrillation from normal ECGs recorded on a smartphone-enabled device
C Galloway, D Treiman, J Shreibati, M Schram, Z Karbaschi, A Valys, ...
EUROPEAN HEART JOURNAL 40, 3096-3096, 2019
32019
Machine learning models of 6-lead ECGs for the interpretation of left ventricular hypertrophy (LVH)
T Dwivedi, J Xue, D Treiman, A Dubey, D Albert
Journal of Electrocardiology 77, 62-67, 2023
22023
Detection of cardiac conditions from reduced lead set ecg
JQ Xue, D Treiman
US Patent App. 18/132,302, 2023
2023
Ecg search and interpretation based on a dual ecg and text embedding model
D Treiman, JQ Xue
US Patent App. 17/585,358, 2023
2023
Estimating ECG intervals from a deep learning morphology model
J Xue, A Parekh, M Kirsch, R Yuan, D Treiman, D Albert, G Clifford
Journal of Electrocardiology 78, 28-30, 2023
2023
ECG QT interval estimation with a transfer deep learning model
J Xue, A Parekh, M Kirsch, R Yuan, D Treiman, D Albert, G Clifford
Journal of Electrocardiology 78, 19-20, 2023
2023
Combined machine learning models of 6-lead ECGs for the interpretation of left ventricular hypertrophy
T Dwivedi, J Xue, D Treiman, A Dubey, D Albert
Journal of Electrocardiology 73, 9-10, 2022
2022
Session 9: Selected abstracts 2Various reduced lead settings for diagnostic ECG interpretation by deep learning models with a large training set and across hospital testing set
J Xue, D Treiman, E Perez-Alday, P Noseworthy, Z Attia, D Harmon, ...
Journal of Electrocardiology 73, 12-13, 2022
2022
Atrial Fibrillation Progression in a Novel Digital Health Cohort
Z Karbaschi, J Shreibati, A Valys, D Treiman, DE Albert, S Stavrakis
Circulation 140 (Suppl_1), A11707-A11707, 2019
2019
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