Giant kelp, Macrocystis pyrifera, increases faunal diversity through physical engineering von Miller, Robert J., Lafferty, Kevin D., Lamy, Thomas, Kui, Li, Rassweiler, Andrew, Reed, Daniel C.

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TiO2 nanoparticles are phototoxic to marine phytoplankton von Miller, Robert J, Bennett, Samuel, Keller, Arturo A, Pease, Scott, Lenihan, Hunter S

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Toxicity of nano-zero valent iron to freshwater and marine organisms von Keller, Arturo A, Garner, Kendra, Miller, Robert J, Lenihan, Hunter S

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Diagnostic and prognostic value of Technetium-99m pyrophosphate uptake quantitation for transthyretin cardiac amyloidosis von Miller, Robert J.H., Cadet, Sebastien, Mah, Darren, Pournazari, Payam, Chan, Denise, Fine, Nowell M., Berman, Daniel S., Slomka, Piotr J.

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Deep learning to automate SPECT MPI myocardial reorientation von Hijazi, Waseem, Miller, Robert J.H.

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Diagnostic safety of a machine learning-based automatic patient selection algorithm for stress-only myocardial perfusion SPECT von Eisenberg, Evann, Miller, Robert J.H., Hu, Lien-Hsin, Rios, Richard, Betancur, Julian, Azadani, Peyman, Han, Donghee, Sharir, Tali, Einstein, Andrew J., Bokhari, Sabahat, Fish, Mathews B., Ruddy, Terrence D., Kaufmann, Philipp A., Sinusas, Albert J., Miller, Edward J., Bateman, Timothy M., Dorbala, Sharmila, Di Carli, Marcelo, Liang, Joanna X., Otaki, Yuka, Tamarappoo, Balaji K., Dey, Damini, Berman, Daniel S., Slomka, Piotr J.

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Mitigating bias in deep learning for diagnosis of coronary artery disease from myocardial perfusion SPECT images von Miller, Robert J. H., Singh, Ananya, Otaki, Yuka, Tamarappoo, Balaji K., Kavanagh, Paul, Parekh, Tejas, Hu, Lien-Hsin, Gransar, Heidi, Sharir, Tali, Einstein, Andrew J., Fish, Mathews B., Ruddy, Terrence D., Kaufmann, Philipp A., Sinusas, Albert J., Miller, Edward J., Bateman, Timothy M., Dorbala, Sharmila, Di Carli, Marcelo F., Liang, Joanna X., Dey, Damini, Berman, Daniel S., Slomka, Piotr J.

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In the thick of it: highlighting the importance of SPECT imaging von Hijazi, Waseem, Miller, Robert J.H.

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Clinical Deployment of Explainable Artificial Intelligence of SPECT for Diagnosis of Coronary Artery Disease von Otaki, Yuka, Singh, Ananya, Kavanagh, Paul, Miller, Robert J.H., Parekh, Tejas, Tamarappoo, Balaji K., Sharir, Tali, Einstein, Andrew J., Fish, Mathews B., Ruddy, Terrence D., Kaufmann, Philipp A., Sinusas, Albert J., Miller, Edward J., Bateman, Timothy M., Dorbala, Sharmila, Di Carli, Marcelo, Cadet, Sebastien, Liang, Joanna X., Dey, Damini, Berman, Daniel S., Slomka, Piotr J.

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Developing a framework for evaluating and comparing risk models von Hijazi, Waseem, Miller, Robert J.H.

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Artificial intelligence-based attenuation correction; closer to clinical reality? von Miller, Robert J.H., Slomka, Piotr J.

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Deep learning-based attenuation map generation and correction; could it be useful clinically? von Singh, Ananya, Miller, Robert J.H.

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Quantifying is believing: Techniques for evaluating transthyretin cardiac amyloidosis burden for expanded clinical applications von Miller, Robert J.H., Fine, Nowell

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Environmental DNA reveals the fine-grained and hierarchical spatial structure of kelp forest fish communities von Lamy, Thomas, Pitz, Kathleen J., Chavez, Francisco P., Yorke, Christie E., Miller, Robert J.

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Machine learning to predict the long-term risk of myocardial infarction and cardiac death based on clinical risk, coronary calcium, and epicardial adipose tissue: a prospective stu... von Commandeur, Frederic, Slomka, Piotr J, Goeller, Markus, Chen, Xi, Cadet, Sebastien, Razipour, Aryabod, McElhinney, Priscilla, Gransar, Heidi, Cantu, Stephanie, Miller, Robert J H, Rozanski, Alan, Achenbach, Stephan, Tamarappoo, Balaji K, Berman, Daniel S, Dey, Damini

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A comparison of biomonitoring methodologies for surf zone fish communities von Gold, Zachary, Koch, McKenzie Q, Schooler, Nicholas K, Emery, Kyle A, Dugan, Jenifer E, Miller, Robert J, Page, Henry M, Schroeder, Donna M, Hubbard, David M, Madden, Jessica R, Whitaker, Stephen G, Barber, Paul H

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Predicting mortality from AI cardiac volumes mass and coronary calcium on chest computed tomography von Miller, Robert J. H., Killekar, Aditya, Shanbhag, Aakash, Bednarski, Bryan, Michalowska, Anna M., Ruddy, Terrence D., Einstein, Andrew J., Newby, David E., Lemley, Mark, Pieszko, Konrad, Van Kriekinge, Serge D., Kavanagh, Paul B., Liang, Joanna X., Huang, Cathleen, Dey, Damini, Berman, Daniel S., Slomka, Piotr J.

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CT attenuation correction improves quantitative risk prediction by cardiac SPECT in obese patients von Feher, Attila, Pieszko, Konrad, Shanbhag, Aakash, Lemley, Mark, Bednarski, Bryan, Miller, Robert J. H., Huang, Cathleen, Miras, Leonidas, Liu, Yi-Hwa, Sinusas, Albert J., Slomka, Piotr J., Miller, Edward J.

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Diagnostic accuracy of bone scintigraphy imaging for transthyretin cardiac amyloidosis: systematic review and meta-analysis von Ahluwalia, Nanki, Roshankar, Golnaz, Draycott, Logan, Jimenez-Zepeda, Victor, Fine, Nowell, Chan, Denise, Han, Donghee, Miller, Robert J.H.

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Metabolic syndrome, fatty liver, and artificial intelligence-based epicardial adipose tissue measures predict long-term risk of cardiac events: a prospective study von Lin, Andrew, Wong, Nathan D, Razipour, Aryabod, McElhinney, Priscilla A, Commandeur, Frederic, Cadet, Sebastien J, Gransar, Heidi, Chen, Xi, Cantu, Stephanie, Miller, Robert J H, Nerlekar, Nitesh, Wong, Dennis T L, Slomka, Piotr J, Rozanski, Alan, Tamarappoo, Balaji K, Berman, Daniel S, Dey, Damini

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