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Machine learning methods applied to complex biomedical data has enabled the construction of disease signatures of diagnostic/prognostic value.
Least square quantization in pcm
S. Lloyd · 1982
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Comparing partitions
L. Hubert and P. Arabie · 1985
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Afni: software for analysis and visualization of functional magnetic resonance neuroimages
Robert W. Cox · 1996
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Learning mixtures of gaussians
Sanjoy Dasgupta · 1999
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Voxel-based morphometry using the ravens maps: Methods and validation using simulated longitudinal atrophy
Christos Davatzikos, Ahmet Genc, Dongrong Xu, and Susan Resnick · 2002
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Reducing the dimensionality of data with neural networks
G.E. Hinton and R.R. Salakhutdinov · 2006
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Multivariate and univariate neuroimaging biomarkers of alzheimer’s disease
Christian Habeck, Norman Foster, Robert Perneczky, Alexander Kurz, Panagiotis Alexopoulos, Robert Koeppe, Alexander Drzezga, and Yaakov Stern · 2008
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Core candidate neurochemical and imaging biomarkers of alzheimer’s disease
Harald Hampel, Katharina Bürger, Stefan Teipel, Arun Bokde, Henrik Zetterberg, and Kaj Blennow · 2008
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Neuroimaging markers for the prediction and early diagnosis of alzheimer’s disease dementia
Michael Ewers, Reisa Sperling, William Klunk, Michael Weiner, and Harald Hampel · 2011
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Generative adversarial networks
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Y. Bengio · 2014
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Adam: A method for stochastic optimization
Diederik Kingma and Jimmy Ba · 2014
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Chimera: Clustering of heterogeneous disease effects via distribution matching of imaging patterns
Aoyan Dong, Nicolas Honnorat, Bilwaj Gaonkar, and Christos Davatzikos · 2015
Cited alongside, same era.
Unpaired image-to-image translation using cycle-consistent adversarial networks
J. Zhu, T. Park, P. Isola, and A. A. Efros · 2017
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Least squares generative adversarial networks
X. Mao, Q. Li, H. Xie, R. Y. K. Lau, Z. Wang, and S. P. Smolley · 2017
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Wasserstein gan, 2017
Martin Arjovsky, Soumith Chintala, and Léon Bottou · 2017
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An overview of deep learning in medical imaging focusing on mri
Alexander Lundervold and Arvid Lundervold · 2018
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Clustergan : Latent space clustering in generative adversarial networks, 2018
Sudipto Mukherjee, Himanshu Asnani, Eugene Lin, and Sreeram Kannan · 2018
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Harmonization of large mri datasets for the analysis of brain imaging patterns throughout the lifespan
Raymond Pomponio, Guray Erus, Mohamad Habes, Jimit Doshi, Dhivya Srinivasan, Elizabeth Mamourian, Vishnu Bashyam, Ilya M. Nasrallah, Theodore D. Satterthwaite, Yong Fan, Lenore J. Launer, Colin L. Masters, Paul Maruff, Chuanjun Zhuo, Henry Völzke, Sterling C. Johnson, Jurgen Fripp, Nikolaos Koutsouleris, Daniel H. Wolf, Raquel Gur, Ruben Gur, John Morris, Marilyn S. Albert, Hans J. Grabe, Susan M. Resnick, R. Nick Bryan, David A. Wolk, Russell T. Shinohara, Haochang Shou, and Christos Davatzikos · 2020
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Jimit Doshi, Guray Erus, Yangming Ou, Susan Resnick, Ruben Gur, Raquel Gur, Theodore Satterthwaite, Susan Furth, and Christos Davatzikos · 2015
Cited alongside, same era.
Hydra: Revealing heterogeneity of imaging and genetic patterns through a multiple max-margin discriminative analysis framework
Erdem Varol, Aristeidis Sotiras, and Christos Davatzikos · 2016
Cited alongside, same era.
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