Showing 1 - 10 results of 10 for search 'Mary M. Maleckar', query time: 0.05s
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The Resting Potential and K+ Currents in Primary Human Articular Chondrocytes by Mary M. Maleckar, Mary M. Maleckar, Robert B. Clark, Bartholomew Votta, Wayne R. Giles
Published 2018-09-01
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In silico screening of the key cellular remodeling targets in chronic atrial fibrillation. by Jussi T Koivumäki, Gunnar Seemann, Mary M Maleckar, Pasi Tavi
Published 2014-05-01
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Improved Computational Identification of Drug Response Using Optical Measurements of Human Stem Cell Derived Cardiomyocytes in Microphysiological Systems by Karoline Horgmo Jæger, Verena Charwat, Bérénice Charrez, Henrik Finsberg, Mary M. Maleckar, Samuel Wall, Kevin E. Healy, Kevin E. Healy, Aslak Tveito
Published 2020-02-01
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Combined In-silico and Machine Learning Approaches Toward Predicting Arrhythmic Risk in Post-infarction Patients by Mary M. Maleckar, Lena Myklebust, Julie Uv, Per Magne Florvaag, Vilde Strøm, Charlotte Glinge, Reza Jabbari, Niels Vejlstrup, Thomas Engstrøm, Kiril Ahtarovski, Thomas Jespersen, Jacob Tfelt-Hansen, Jacob Tfelt-Hansen, Valeriya Naumova, Hermenegild Arevalo
Published 2021-11-01
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Explaining deep neural networks for knowledge discovery in electrocardiogram analysis by Steven A. Hicks, Jonas L. Isaksen, Vajira Thambawita, Jonas Ghouse, Gustav Ahlberg, Allan Linneberg, Niels Grarup, Inga Strümke, Christina Ellervik, Morten Salling Olesen, Torben Hansen, Claus Graff, Niels-Henrik Holstein-Rathlou, Pål Halvorsen, Mary M. Maleckar, Michael A. Riegler, Jørgen K. Kanters
Published 2021-05-01
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DeepFake electrocardiograms using generative adversarial networks are the beginning of the end for privacy issues in medicine by Vajira Thambawita, Jonas L. Isaksen, Steven A. Hicks, Jonas Ghouse, Gustav Ahlberg, Allan Linneberg, Niels Grarup, Christina Ellervik, Morten Salling Olesen, Torben Hansen, Claus Graff, Niels-Henrik Holstein-Rathlou, Inga Strümke, Hugo L. Hammer, Mary M. Maleckar, Pål Halvorsen, Michael A. Riegler, Jørgen K. Kanters
Published 2021-11-01
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Identifying risk of adverse outcomes in COVID-19 patients via artificial intelligence–powered analysis of 12-lead intake electrocardiogram by Arun R. Sridhar, MBBS, MPH, Zih-Hua Chen (Amber), MS, Jacob J. Mayfield, MD, Alison E. Fohner, PhD, Panagiotis Arvanitis, MD, Sarah Atkinson, BS, Frieder Braunschweig, MD, PhD, Neal A. Chatterjee, MD, MSc, Alessio Falasca Zamponi, MD, Gregory Johnson, PhD, Sanika A. Joshi, Mats C.H. Lassen, MD, Jeanne E. Poole, MD, FHRS, Christopher Rumer, BS, Kristoffer G. Skaarup, MD, Tor Biering-Sørensen, MD, PhD, MPH, Carina Blomstrom-Lundqvist, MD, PhD, Cecilia M. Linde, MD, PhD, Mary M. Maleckar, PhD, Patrick M. Boyle, PhD
Published 2022-04-01
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