Aaron M. Smith

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 7

Top Topics

Probabilistic Neural Networks

Corpus Callosum

Cross Sectional

Disease Progression

Top Venues

Publications

Nameyeh Alam, Jake Basilico, Daniele Bertolini, Satish Casie Chetty, Heather D'Angelo, Ryan Douglas, Charles K. Fisher, Franklin Fuller, Melissa Gomes, Rishabh Gupta, Alex H. Lang, Anton Loukianov, Rachel Mak-McCully, Cary Murray, Hanalei Pham, Susanna Qiao, Elena Ryapolova-Webb, Aaron M. Smith, Dimitri Theoharatos, Anil Tolwani, Eric W. Tramel, Anna Vidovszky, Judy Viduya, Jonathan R. Walsh
Digital Twin Generators for Disease Modeling. CoRR (2024)
Daniele Bertolini, Anton D. Loukianov, Aaron M. Smith, David Li-Bland, Yannick Pouliot, Jonathan R. Walsh, Charles K. Fisher
Modeling Disease Progression in Mild Cognitive Impairment and Alzheimer's Disease with Digital Twins. CoRR (2020)
Jonathan R. Walsh, Aaron M. Smith, Yannick Pouliot, David Li-Bland, Anton Loukianov, Charles K. Fisher
Generating Digital Twins with Multiple Sclerosis Using Probabilistic Neural Networks. CoRR (2020)
Aaron M. Smith, Jonathan R. Walsh, John Long, Craig B. Davis, Peter Henstock, Martin R. Hodge, Mateusz Maciejewski, Xinmeng Jasmine Mu, Stephen Ra, Shanrong Zhao, Daniel Ziemek, Charles K. Fisher
Standard machine learning approaches outperform deep representation learning on phenotype prediction from transcriptomics data. BMC Bioinform. 21 (1) (2020)
Charles K. Fisher, Yannick Pouliot, Aaron M. Smith, Jonathan R. Walsh
Generating Synthetic Control Patients Using Machine Learning for Alzheimer's Disease Clinical Trials. AMIA (2019)
Charles K. Fisher, Aaron M. Smith, Jonathan R. Walsh
Using deep learning for comprehensive, personalized forecasting of Alzheimer's Disease progression. CoRR (2018)
Charles K. Fisher, Aaron M. Smith, Jonathan R. Walsh
Boltzmann Encoded Adversarial Machines. CoRR (2018)