( en | de | ru )

 

Disambiguation

From post

копироватьудалитьдобавить публикацию в буфер
A 3D MRI-Based Cardiac Computer Model to Study Arrhythmia and Its In-vivo Experimental Validation.

, , , , , , , , , , и . FIMH, том 6666 из Lecture Notes in Computer Science, стр. 195-205. Springer, (2011)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

Loredana Pop

Traian Pop

Vasile Pop

Claudius Pop

Alina Pop

 

Другие публикации лиц с тем же именем

Adjustment of Parameters in Ionic Models Using Optimal Control Problems., , , и . FIMH, том 10263 из Lecture Notes in Computer Science, стр. 322-332. Springer, (2017)Cine and Multicontrast Late Enhanced MRI Registration for 3D Heart Model Construction., , , , и . STACOM@MICCAI, том 11395 из Lecture Notes in Computer Science, стр. 49-57. Springer, (2018)Outcome Prediction., , , , , и . AI and Big Data in Cardiology, Springer International Publishing, (2023)The Extent of LGE-Defined Fibrosis Predicts Ventricular Arrhythmia Severity: Insights from a Preclinical Model of Chronic Infarction., , , , , , , и . FIMH, том 13958 из Lecture Notes in Computer Science, стр. 698-707. Springer, (2023)A Pre-clinical Framework to Characterize Peri-infarct Remodelling Using in vivo T1 Maps and CARTO Data., , , , , , , , , и 1 other автор(ы). STACOM, том 7746 из Lecture Notes in Computer Science, стр. 326-335. Springer, (2012)Postinfarction Ventricular Tachycardia Substrate Characterization: A Comparison Between Late Enhancement Magnetic Resonance Imaging and Voltage Mapping Using an MR-Guided Electrophysiology System., , , , , , , , , и . IEEE Trans. Biomed. Eng., 60 (9): 2442-2449 (2013)In Vivo Parametric T1 Maps Correlate with Structural and Molecular Characteristics of Focal Fibrosis., , , , и . FIMH, том 10263 из Lecture Notes in Computer Science, стр. 13-22. Springer, (2017)Deep Learning-Based MR Image Re-parameterization., , , и . CoRR, (2022)APHYN-EP: Physics-Based Deep Learning Framework to Learn and Forecast Cardiac Electrophysiology Dynamics., , , , и . STACOM@MICCAI, том 13593 из Lecture Notes in Computer Science, стр. 190-199. Springer, (2022)Novel atlas of fiber directions built from ex-vivo diffusion tensor images of porcine hearts., , , и . Comput. Methods Programs Biomed., (2020)