Zuben, Andre Von, Perotti, Luigi E., and Viana, Felipe A.C. Anatomically-guided deep learning for left ventricle geometry generation with uncertainty quantification based on short-axis MR images. Retrieved from https://par.nsf.gov/biblio/10445595. Engineering Applications of Artificial Intelligence 121.C Web. doi:10.1016/j.engappai.2023.106012.

Zuben, Andre Von, Perotti, Luigi E., & Viana, Felipe A.C. Anatomically-guided deep learning for left ventricle geometry generation with uncertainty quantification based on short-axis MR images. Engineering Applications of Artificial Intelligence, 121 (C). Retrieved from https://par.nsf.gov/biblio/10445595. https://doi.org/10.1016/j.engappai.2023.106012

Zuben, Andre Von, Perotti, Luigi E., and Viana, Felipe A.C. "Anatomically-guided deep learning for left ventricle geometry generation with uncertainty quantification based on short-axis MR images". Engineering Applications of Artificial Intelligence 121 (C). Country unknown/Code not available. https://doi.org/10.1016/j.engappai.2023.106012. https://par.nsf.gov/biblio/10445595.

@article{osti_10445595,
place = {Country unknown/Code not available}, title = {Anatomically-guided deep learning for left ventricle geometry generation with uncertainty quantification based on short-axis MR images}, url = {https://par.nsf.gov/biblio/10445595}, DOI = {10.1016/j.engappai.2023.106012}, abstractNote = {}, journal = {Engineering Applications of Artificial Intelligence}, volume = {121}, number = {C}, author = {Zuben, Andre Von and Perotti, Luigi E. and Viana, Felipe A.C.}, }