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of 73
pro vyhledávání: '"DeRamus, Thomas P."'
Autor:
Weberpals, Janick, Shaw, Pamela A., Lin, Kueiyu Joshua, Wyss, Richard, Plasek, Joseph M, Zhou, Li, Ngan, Kerry, DeRamus, Thomas, Raman, Sudha R., Hammill, Bradley G., Lee, Hana, Toh, Sengwee, Connolly, John G., Dandreo, Kimberly J., Tian, Fang, Liu, Wei, Li, Jie, Hernández-Muñoz, José J., Schneeweiss, Sebastian, Desai, Rishi J.
Multiple imputation (MI) models can be improved by including auxiliary covariates (AC), but their performance in high-dimensional data is not well understood. We aimed to develop and compare high-dimensional MI (HDMI) approaches using structured and
Externí odkaz:
http://arxiv.org/abs/2405.10925
Autor:
Fedorov, Alex, Geenjaar, Eloy, Wu, Lei, Sylvain, Tristan, DeRamus, Thomas P., Luck, Margaux, Misiura, Maria, Hjelm, R Devon, Plis, Sergey M., Calhoun, Vince D.
Recent neuroimaging studies that focus on predicting brain disorders via modern machine learning approaches commonly include a single modality and rely on supervised over-parameterized models.However, a single modality provides only a limited view of
Externí odkaz:
http://arxiv.org/abs/2209.02876
Autor:
Fedorov, Alex, Geenjaar, Eloy, Wu, Lei, DeRamus, Thomas P., Calhoun, Vince D., Plis, Sergey M.
Self-supervised learning has enabled significant improvements on natural image benchmarks. However, there is less work in the medical imaging domain in this area. The optimal models have not yet been determined among the various options. Moreover, li
Externí odkaz:
http://arxiv.org/abs/2103.15914
Autor:
Fedorov, Alex, Sylvain, Tristan, Geenjaar, Eloy, Luck, Margaux, Wu, Lei, DeRamus, Thomas P., Kirilin, Alex, Bleklov, Dmitry, Calhoun, Vince D., Plis, Sergey M.
Sensory input from multiple sources is crucial for robust and coherent human perception. Different sources contribute complementary explanatory factors. Similarly, research studies often collect multimodal imaging data, each of which can provide shar
Externí odkaz:
http://arxiv.org/abs/2012.13623
Autor:
Fedorov, Alex, Wu, Lei, Sylvain, Tristan, Luck, Margaux, DeRamus, Thomas P., Bleklov, Dmitry, Plis, Sergey M., Calhoun, Vince D.
Introspection of deep supervised predictive models trained on functional and structural brain imaging may uncover novel markers of Alzheimer's disease (AD). However, supervised training is prone to learning from spurious features (shortcut learning)
Externí odkaz:
http://arxiv.org/abs/2012.13619
Autor:
Fedorov, Alex, Geenjaar, Eloy, Wu, Lei, Sylvain, Tristan, DeRamus, Thomas P., Luck, Margaux, Misiura, Maria, Mittapalle, Girish, Hjelm, R. Devon, Plis, Sergey M., Calhoun, Vince D.
Publikováno v:
In NeuroImage January 2024 285
Akademický článek
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Akademický článek
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Autor:
Clark, David Glenn, McLaughlin, Paula M., Woo, Ellen, Hwang, Kristy, Hurtz, Sona, Ramirez, Leslie, Eastman, Jennifer, Dukes, Reshil-Marie, Kapur, Puneet, DeRamus, Thomas P., Apostolova, Liana G.
Publikováno v:
In Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring 2016 2:113-122
Autor:
Libero, Lauren E., DeRamus, Thomas P., Lahti, Adrienne C., Deshpande, Gopikrishna, Kana, Rajesh K.
Publikováno v:
In Cortex May 2015 66:46-59