Temporal convolutional networks and data rebalancing for clinical length of stay and mortality prediction von Bednarski, Bryan P., Singh, Akash Deep, Zhang, Wenhao, Jones, William M., Naeim, Arash, Ramezani, Ramin

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On collaborative reinforcement learning to optimize the redistribution of critical medical supplies throughout the COVID-19 pandemic von Bednarski, Bryan P, Singh, Akash Deep, Jones, William M

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Unsupervised learning to characterize patients with known coronary artery disease undergoing myocardial perfusion imaging von Williams, Michelle C., Bednarski, Bryan P., Pieszko, Konrad, Miller, Robert J. H., Kwiecinski, Jacek, Shanbhag, Aakash, Liang, Joanna X., Huang, Cathleen, Sharir, Tali, Dorbala, Sharmila, Di Carli, Marcelo F., Einstein, Andrew J., Sinusas, Albert J., Miller, Edward J., Bateman, Timothy M., Fish, Mathews B., Ruddy, Terrence D., Acampa, Wanda, Hauser, M. Timothy, Kaufmann, Philipp A., Dey, Damini, Berman, Daniel S., Slomka, Piotr J.

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Clinical phenotypes among patients with normal cardiac perfusion using unsupervised learning: a retrospective observational study von Miller, Robert J.H., Bednarski, Bryan P., Pieszko, Konrad, Kwiecinski, Jacek, Williams, Michelle C., Shanbhag, Aakash, Liang, Joanna X., Huang, Cathleen, Sharir, Tali, Hauser, M. Timothy, Dorbala, Sharmila, Di Carli, Marcelo F., Fish, Mathews B., Ruddy, Terrence D., Bateman, Timothy M., Einstein, Andrew J., Kaufmann, Philipp A., Miller, Edward J., Sinusas, Albert J., Acampa, Wanda, Han, Donghee, Dey, Damini, Berman, Daniel S., Slomka, Piotr J.

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Unsupervised learning to characterize patients with known coronary artery disease undergoing myocardial perfusion imaging von Williams, Michelle Claire, Bednarski, Bryan P, Pieszko, Konrad, Miller, Robert J H, Kwiecinski, Jacek, Shanbhag, Aakash, Liang, Joanna X, Huang, Cathleen, Sharir, Tali, Dorbala, Sharmila, Di Carli, Marcelo F, Einstein, Andrew J, Sinusas, Albert J, Miller, Edward J, Bateman, Timothy M, Fish, Mathews B, Ruddy, Terrence D, Acampa, Wanda, Hauser, M Timothy, Kaufmann, Philipp A, Dey, Damini, Berman, Daniel S, Slomka, Piotr J

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Clinical phenotypes among patients with normal cardiac perfusion using unsupervised learning: a retrospective observational study von Miller, Robert J H, Bednarski, Bryan P, Pieszko, Konrad, Kwiecinski, Jacek, Williams, Michelle C, Shanbhag, Aakash, Liang, Joanna X, Huang, Cathleen, Sharir, Tali, Hauser, M Timothy, Dorbala, Sharmila, Di Carli, Marcelo F, Fish, Mathews B, Ruddy, Terrence D, Bateman, Timothy M, Einstein, Andrew J, Kaufmann, Philipp A, Miller, Edward J, Sinusas, Albert J, Acampa, Wanda, Han, Donghee, Dey, Damini, Berman, Daniel S, Slomka, Piotr J

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Clinical phenotypes among patients with normal cardiac perfusion using unsupervised learning: a retrospective observational studyResearch in context von Robert J.H. Miller, Bryan P. Bednarski, Konrad Pieszko, Jacek Kwiecinski, Michelle C. Williams, Aakash Shanbhag, Joanna X. Liang, Cathleen Huang, Tali Sharir, M. Timothy Hauser, Sharmila Dorbala, Marcelo F. Di Carli, Mathews B. Fish, Terrence D. Ruddy, Timothy M. Bateman, Andrew J. Einstein, Philipp A. Kaufmann, Edward J. Miller, Albert J. Sinusas, Wanda Acampa, Donghee Han, Damini Dey, Daniel S. Berman, Piotr J. Slomka

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Donor memory-like NK cells persist and induce remissions in pediatric patients with relapsed AML after transplant von Bednarski, Jeffrey J., Zimmerman, Clare, Berrien-Elliott, Melissa M., Foltz, Jennifer A., Becker-Hapak, Michelle, Neal, Carly C., Foster, Mark, Schappe, Timothy, McClain, Ethan, Pence, Patrick P., Desai, Sweta, Kersting-Schadek, Samantha, Wong, Pamela, Russler-Germain, David A., Fisk, Bryan, Lie, Wen-Rong, Eisele, Jeremy, Hyde, Stephanie, Bhatt, Sima T., Griffith, Obi L., Griffith, Malachi, Petti, Allegra A., Cashen, Amanda F., Fehniger, Todd A.

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