Pandey, Ambarish, Kagiyama, Nobuyuki, Yanamala, Naveena, Segar, Matthew W., Cho, Jung S., Tokodi, Márton, and Sengupta, Partho P. Deep-Learning Models for the Echocardiographic Assessment of Diastolic Dysfunction. Retrieved from https://par.nsf.gov/biblio/10336061. JACC: Cardiovascular Imaging 14.10 Web. doi:10.1016/j.jcmg.2021.04.010.

Pandey, Ambarish, Kagiyama, Nobuyuki, Yanamala, Naveena, Segar, Matthew W., Cho, Jung S., Tokodi, Márton, & Sengupta, Partho P. Deep-Learning Models for the Echocardiographic Assessment of Diastolic Dysfunction. JACC: Cardiovascular Imaging, 14 (10). Retrieved from https://par.nsf.gov/biblio/10336061. https://doi.org/10.1016/j.jcmg.2021.04.010

Pandey, Ambarish, Kagiyama, Nobuyuki, Yanamala, Naveena, Segar, Matthew W., Cho, Jung S., Tokodi, Márton, and Sengupta, Partho P. "Deep-Learning Models for the Echocardiographic Assessment of Diastolic Dysfunction". JACC: Cardiovascular Imaging 14 (10). Country unknown/Code not available. https://doi.org/10.1016/j.jcmg.2021.04.010. https://par.nsf.gov/biblio/10336061.

@article{osti_10336061,
place = {Country unknown/Code not available}, title = {Deep-Learning Models for the Echocardiographic Assessment of Diastolic Dysfunction}, url = {https://par.nsf.gov/biblio/10336061}, DOI = {10.1016/j.jcmg.2021.04.010}, abstractNote = {}, journal = {JACC: Cardiovascular Imaging}, volume = {14}, number = {10}, author = {Pandey, Ambarish and Kagiyama, Nobuyuki and Yanamala, Naveena and Segar, Matthew W. and Cho, Jung S. and Tokodi, Márton and Sengupta, Partho P.}, }