Ngā hua rapu - Chris McIntosh
- E whakaatu ana i te 1 - 9 hua o te 9
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Machine Learning for Prediction of Adverse Cardiovascular Events in Adults With Repaired Tetralogy of Fallot Using Clinical and Cardiovascular Magnetic Resonance Imaging Variables mā Ayako Ishikita, Chris McIntosh, Kate Hanneman, Myunghyun M. Lee, Tiffany W. Liang, Gauri R. Karur, S. Lucy Roche, Edward Hickey, Tal Geva, David J. Barron, Rachel M. Wald
I whakaputaina 2023Artigo -
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Vulnerabilities of radiomic signature development: The need for safeguards mā Mattea Welch, Chris McIntosh, Benjamin Haibe‐Kains, Michael Milosevic, Leonard Wee, André Dekker, Shao Hui Huang, Thomas G. Purdie, Brian O’Sullivan, Hugo J.W.L. Aerts, David A. Jaffray
I whakaputaina 2018Artigo -
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The Growing Regulation of Conversion Therapy mā Jack Drescher, Alan Schwartz, Flávio Casoy, Chris McIntosh, Brian Hurley, Kenneth Ashley, Mary E. Barber, David M. Goldenberg, Sarah Herbert, Lorraine E. Lothwell, Marlin R. Mattson, Scot G. McAfee, Jack Pula, Vernon A. Rosario, D. Andrew Tompkins
I whakaputaina 2016Artigo -
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Comprehensive Cardiovascular Magnetic Resonance Tissue Characterization and Cardiotoxicity in Women With Breast Cancer mā Paaladinesh Thavendiranathan, Tamar Shalmon, Chun‐Po Steve Fan, Christian Houbois, Eitan Amir, Yobiga Thevakumaran, Emily Somerset, Julia M. Malowany, Camila Urzua-Fresno, Paul S. F. Yip, Chris McIntosh, Marshall S. Sussman, Christine Brezden‐Masley, Andrew T. Yan, Christine Koch, Neil Spiller, Husam Abdel‐Qadir, Coleen Power, Kate Hanneman, Bernd J. Wintersperger
I whakaputaina 2023Artigo -
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Multi-institutional Prognostic Modeling in Head and Neck Cancer: Evaluating Impact and Generalizability of Deep Learning and Radiomics mā Michal Kazmierski, Mattea Welch, Sejin Kim, Chris McIntosh, Katrina Rey‐McIntyre, Shao Hui Huang, Tirth Patel, Tony Tadic, Michael Milosevic, Fei‐Fei Liu, Adam Ryczkowski, Joanna Kaźmierska, Zezhong Ye, Deborah Plana, Hugo J.W.L. Aerts, Benjamin H. Kann, Scott V. Bratman, Andrew Hope, Benjamin Haibe‐Kains
I whakaputaina 2023Artigo -
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Cardiovascular signatures of COVID-19 predict mortality and identify barrier stabilizing therapies mā Dakota Gustafson, Michelle Ngai, Ruilin Wu, Huayun Hou, Alice Carvalhal Schöffel, Clara Erice, Serena Mandla, Filio Billia, Michael D. Wilson, Milica Radisic, Eddy Fan, Uriel Trahtemberg, Andrew H. Baker, Chris McIntosh, Chun‐Po Steve Fan, Claúdia C. dos Santos, Kevin C. Kain, Kate Hanneman, Paaladinesh Thavendiranathan, Jason E. Fish, Kathryn L. Howe
I whakaputaina 2022Artigo -
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Transparency and reproducibility in artificial intelligence mā Benjamin Haibe‐Kains, George Alexandru Adam, Ahmed Hosny, Farnoosh Khodakarami, Thakkar Shraddha, Rebecca Kusko, Susanna‐Assunta Sansone, Weida Tong, Russ Wolfinger, Christopher E. Mason, Wendell Jones, Joaquı́n Dopazo, Cesare Furlanello, Levi Waldron, Bo Wang, Chris McIntosh, Anna Goldenberg, Anshul Kundaje, Casey S. Greene, Tamara Broderick, Michael M. Hoffman, Jeffrey T. Leek, Keegan Korthauer, Wolfgang Huber, Alvis Brāzma, Joëlle Pineau, Robert Tibshirani, Trevor Hastie, John P. A. Ioannidis, John Quackenbush, Hugo J.W.L. Aerts
I whakaputaina 2020Carta
Ngā utauta rapu:
Ngā marau whai pānga
Medicine
Artificial intelligence
Computer science
Internal medicine
Machine learning
Mathematics
Biochemistry
Biology
Cardiology
Data science
Ejection fraction
Heart failure
Medical physics
Myocardial infarction
Statistics
Adjudication
Algorithm
Anthracycline
Artificial neural network
Bioassay
Bioinformatics
Breast cancer
Cancer
Carcinus maenas
Cardiotoxicity
Chemotherapy
Computer security
Concordance
Concordance correlation coefficient
Coronavirus disease 2019 (COVID-19)