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

R. Ríos, R. Miller, N. Manral, T. Sharir, A. Einstein, M. Fish, T. Ruddy, P. Kaufmann, A. Sinusas, E. Miller, T. Bateman, S. Dorbala, M. Carli, S. Kriekinge, P. Kavanagh, T. Parekh, J. Liang, D. Dey, D. Berman, and P. Slomka. Comput. Biol. Medicine, (2022)

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Robert Miller

Other publications of authors with the same name

Time and event-specific deep learning for personalized risk assessment after cardiac perfusion imaging.K. Pieszko, A. Shanbhag, A. Singh, M. Hauser, R. Miller, J. Liang, M. Motwani, J. Kwiecinski, T. Sharir, A. Einstein and 11 other author(s). npj Digit. Medicine, (2023)Calcium scoring in low-dose ungated chest CT scans using convolutional long-short term memory networks.K. Pieszko, A. Shanbhag, A. Killekar, M. Lemley, Y. Otaki, S. Kriekinge, P. Kavanagh, R. Miller, E. Miller, T. Bateman and 3 other author(s). Medical Imaging: Image Processing, volume 12032 of SPIE Proceedings, SPIE, (2022)Comparative analysis between convolutional long short-term memory networks and vision transformers for coronary calcium scoring in non-contrast CT.A. Shanbhag, K. Pieszko, R. Miller, A. Killekar, W. Parker, H. Gransar, M. Williams, D. Berman, D. Dey, and P. Slomka. Medical Imaging: Image Processing, volume 12464 of SPIE Proceedings, SPIE, (2023)Handling missing values in machine learning to predict patient-specific risk of adverse cardiac events: Insights from REFINE SPECT registry.R. Ríos, R. Miller, N. Manral, T. Sharir, A. Einstein, M. Fish, T. Ruddy, P. Kaufmann, A. Sinusas, E. Miller and 10 other author(s). Comput. Biol. Medicine, (2022)AI-derived epicardial fat measurements improve cardiovascular risk prediction from myocardial perfusion imaging.R. Miller, A. Shanbhag, A. Killekar, M. Lemley, B. Bednarski, S. Kriekinge, P. Kavanagh, A. Feher, E. Miller, A. Einstein and 6 other author(s). npj Digit. Medicine, (2024)Transferring deep convolutional network representations from SPECT to improve PET cardiac outcome prediction.B. Bednarski, A. Shanbhag, A. Singh, R. Miller, H. Gransar, K. Kuronuma, T. Sharir, S. Dorbala, M. Carli, M. Fish and 4 other author(s). Medical Imaging: Image Processing, volume 12464 of SPIE Proceedings, SPIE, (2023)

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Disambiguation of "Miller, Robert J. H."

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

Please choose a person to relate this publication to

Robert Miller

Robert Miller

Robert Miller

Robert Miller

Robert Miller

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Miller, Robert J. H."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Handling missing values in machine learning to predict patient-specific risk of adverse cardiac events: Insights from REFINE SPECT registry.

Please choose a person to relate this publication to

Robert Miller

Robert Miller

Robert Miller

Robert Miller

Robert Miller

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Handling missing values in machine learning to predict patient-specific risk of adverse cardiac events: Insights from REFINE SPECT registry.