| Machine learning for comprehensive forecasting of Alzheimer’s Disease progression CK Fisher, AM Smith, JR Walsh Scientific reports 9 (1), 13622, 2019 | 167 | 2019 |
| Standard machine learning approaches outperform deep representation learning on phenotype prediction from transcriptomics data AM Smith, JR Walsh, J Long, CB Davis, P Henstock, MR Hodge, ... BMC bioinformatics 21, 1-18, 2020 | 69* | 2020 |
| The higher Riemann–Hilbert correspondence J Block, AM Smith Advances in Mathematics 252, 382-405, 2014 | 43* | 2014 |
| Generating digital twins with multiple sclerosis using probabilistic neural networks JR Walsh, AM Smith, Y Pouliot, D Li-Bland, A Loukianov, CK Fisher arXiv preprint arXiv:2002.02779, 2020 | 30 | 2020 |
| Quality of clinical trials—a concern of three decades E Hemminki Methods of Information in Medicine 21 (02), 81-85, 1982 | 29 | 1982 |
| Boltzmann encoded adversarial machines CK Fisher, AM Smith, JR Walsh arXiv preprint arXiv:1804.08682, 2018 | 18 | 2018 |
| Modeling Disease Progression in Mild Cognitive Impairment and Alzheimer's Disease with Digital Twins D Bertolini, AD Loukianov, AM Smith, D Li-Bland, Y Pouliot, JR Walsh, ... arXiv preprint arXiv:2012.13455, 2020 | 7 | 2020 |
| Generating Digital Twins with multiple sclerosis using probabilistic neural networks. bioRxiv JR Walsh, AM Smith, Y Pouliot Published online April 19 (2020), 10.1101, 2020 | 6 | 2020 |
| Systems and methods for modeling probability distributions CK Fisher, AM Smith, JR Walsh US Patent 11,636,309, 2023 | 5 | 2023 |
| John Long, Craig B AM Smith, JR Walsh Davis, Peter Henstock, Martin R. Hodge, Mateusz Maciejewski, Xinmeng Jasmine …, 2020 | 5 | 2020 |
| Machine learning for comprehensive forecasting of Alzheimer’s disease progression. Sci Rep. 2019; 9 CK Fisher, AM Smith, JR Walsh | 5 | |
| Forecasting progression of mild cognitive impairment (MCI) and Alzheimer’s disease (AD) with digital twins D Bertolini, AD Loukianov, A Smith, D Li‐Bland, Y Pouliot, JR Walsh, ... Alzheimer's & Dementia 17, e054414, 2021 | 4 | 2021 |
| A theory of multiholomorphic maps AM Smith arXiv preprint arXiv:1112.1471, 2011 | 4 | 2011 |
| Systems and Methods for Training Generative Models Using Summary Statistics and Other Constraints AM Smith, AD Loukianov, CK Fisher, JR Walsh US Patent App. 17/074,364, 2021 | 3 | 2021 |
| Systems and Methods for Supplementing Data with Generative Models CK Fisher, AM Smith, JR Walsh US Patent App. 16/997,758, 2021 | 3 | 2021 |
| The higher Riemann-Hilbert correspondence and multiholomorphic mappings AM Smith University of Pennsylvania, 2011 | 3 | 2011 |
| Systems and Methods for Designing Augmented Randomized Trials CK Fisher, AM Smith, JR Walsh, AS da Costa Ferro, D Walsh, DP Miller US Patent App. 17/649,660, 2022 | 2 | 2022 |
| Systems and Methods for Model Selection D Li-Bland, AM Smith, AD Loukianov US Patent App. 17/658,228, 2022 | 1 | 2022 |
| Modeling Subject-Level Disease Progression for Multiple Sclerosis Clinical Trials with Machine Learning (2232) J Walsh, A Smith, Y Pouliot, D Li-Bland, A Loukianov, C Fisher Neurology 94 (15 Supplement), 2020 | 1 | 2020 |
| Systems and methods for training predictive models that ignore missing features AM Smith, CK Fisher, FD Fuller US Patent 11,868,900, 2024 | | 2024 |
Charles K. FisherUnlearn.aiVerified email at unlearnai.com
