Marcelo Di Carli

According to our database, Marcelo Di Carli authored at least 3 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Time and event-specific deep learning for personalized risk assessment after cardiac perfusion imaging.

Konrad Pieszko, Aakash D. Shanbhag, Ananya Singh, M. Timothy Hauser, Robert J. H. Miller, Joanna X. Liang, Manish Motwani, Jacek Kwiecinski, Tali Sharir, Andrew J. Einstein, Mathews Fish, Terrence D. Ruddy, Philipp A. Kaufmann, Albert J. Sinusas, Edward J. Miller, Timothy M. Bateman, Sharmila Dorbala, Marcelo Di Carli, Daniel S. Berman, Damini Dey, Piotr J. Slomka

npj Digit. Medicine, 2023

Transferring deep convolutional network representations from SPECT to improve PET cardiac outcome prediction.

Bryan P. Bednarski, Aakash D. Shanbhag, Ananya Singh, Robert J. H. Miller, Heidi Gransar, Keiichiro Kuronuma, Tali Sharir, Sharmila Dorbala, Marcelo Di Carli, Matthews B. Fish, Terrence D. Ruddy, Daniel S. Berman, Damini Dey, Piotr J. Slomka

Proceedings of the Medical Imaging 2023: Image Processing, 2023

2022

Handling missing values in machine learning to predict patient-specific risk of adverse cardiac events: Insights from REFINE SPECT registry.

Richard Ríos, Robert J. H. Miller, Nipun Manral, Tali Sharir, Andrew J. Einstein, Mathews Fish, Terrence D. Ruddy, Philipp A. Kaufmann, Albert J. Sinusas, Edward J. Miller, Timothy M. Bateman, Sharmila Dorbala, Marcelo Di Carli, Serge D. Van Kriekinge, Paul Kavanagh, Tejas Parekh, Joanna X. Liang, Damini Dey, Daniel S. Berman, Piotr J. Slomka

Comput. Biol. Medicine, 2022