Genetic Variation and Stroke Recovery: The STRONG Study SC Cramer, L Parodi, Z Moslemi, RG Braun, CM Aldridge, B Shahbaba, ... Stroke 55 (8), 2094-2102, 2024 | | 2024 |
Predicting postmortem neuropathology of Alzheimer’s disease and related dementias using widely accessible clinical data Y Ren, B Shahbaba, CEL Stark Alzheimer's Association International Conference, 2024 | | 2024 |
Neonatal outcomes after maternal biomarker-guided preterm birth intervention: the AVERT PRETERM trial MK Hoffman, C Kitto, Z Zhang, J Shi, MG Walker, B Shahbaba, ... Diagnostics 14 (14), 1462, 2024 | | 2024 |
Optimal Transport for Latent Integration with An Application to Heterogeneous Neuronal Activity Data Y Yuan, B Shahbaba, N Fortin, K Cooper, Q Nie, A Qu arXiv preprint arXiv:2407.00099, 2024 | | 2024 |
tauFisher predicts circadian time from a single sample of bulk and single-cell pseudobulk transcriptomic data J Duan, MN Ngo, SS Karri, LC Tsoi, JE Gudjonsson, B Shahbaba, ... Nature Communications 15 (1), 3840, 2024 | 1 | 2024 |
Stroke Recovery and Genetic Variation: Main Results of the STRONG Study SC Cramer, L Parodi, Z Moslemi, R Braun, C Aldridge, B Shahbaba, ... Stroke 55 (Suppl_1), A119-A119, 2024 | | 2024 |
Scaling up bayesian neural networks with neural networks Z Moslemi, Y Meng, S Lan, B Shahbaba arXiv preprint arXiv:2312.11799, 2023 | 2 | 2023 |
Using multimodal, low‐cost data to efficiently identify clinical subgroups and classify Alzheimer’s diagnosis Y Ren, B Shahbaba, CEL Stark Alzheimer's & Dementia 19, e080159, 2023 | | 2023 |
Improving clinical efficiency in screening for cognitive impairment due to Alzheimer's Y Ren, B Shahbaba, CEL Stark Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring 15 (4 …, 2023 | 1 | 2023 |
A model-agnostic graph neural network for integrating local and global information W Zhou, A Qu, KW Cooper, N Fortin, B Shahbaba arXiv preprint arXiv:2309.13459, 2023 | 2 | 2023 |
A horseshoe mixture model for Bayesian screening with an application to light sheet fluorescence microscopy in brain imaging F Denti, R Azevedo, C Lo, DG Wheeler, SP Gandhi, M Guindani, ... The Annals of Applied Statistics 17 (3), 2639-2658, 2023 | 1 | 2023 |
Fully Bayesian autoencoders with latent sparse Gaussian processes BH Tran, B Shahbaba, S Mandt, M Filippone International Conference on Machine Learning, 34409-34430, 2023 | 5 | 2023 |
1475 Single cell RNA-seq reveals cell-type specific circadian regulations in the mouse dermis J Duan, M Ngo, S Karri, J Lowengrub, B Shahbaba, B Andersen Journal of Investigative Dermatology 143 (5), S253, 2023 | | 2023 |
tauFisher accurately predicts circadian time from a single sample of bulk and single-cell transcriptomic data J Duan, MN Ngo, SS Karri, LC Tsoi, JE Gudjonsson, B Shahbaba, ... bioRxiv, 2023.04. 04.535473, 2023 | 2 | 2023 |
Neonatal outcomes after proteomic biomarker-guided intervention: the AVERT PRETERM TRIAL MK Hoffman, C Kitto, Z Zhang, J Shi, MG Walker, B Shahbaba, ... medRxiv, 2023 | | 2023 |
Scaling up bayesian uncertainty quantification for inverse problems using deep neural networks S Lan, S Li, B Shahbaba SIAM/ASA Journal on Uncertainty Quantification 10 (4), 1684-1713, 2022 | 17 | 2022 |
Hierarchical, multiclass prediction of Alzheimer’s clinical diagnosis using imputed, multimodal NACC data Y Ren, B Shahbaba, CE Stark Alzheimer's & Dementia 18, e066698, 2022 | | 2022 |
Brain waves analysis via a non-parametric Bayesian mixture of autoregressive kernels G Granados-Garcia, M Fiecas, S Babak, NJ Fortin, H Ombao Computational statistics & data analysis 174, 107409, 2022 | 14 | 2022 |
Association of congenital and acquired cardiovascular conditions with COVID-19 severity among pediatric patients in the US L Ehwerhemuepha, B Roth, AK Patel, O Heutlinger, C Heffernan, ... JAMA network open 5 (5), e2211967-e2211967, 2022 | 16 | 2022 |
Hippocampal ensembles represent sequential relationships among an extended sequence of nonspatial events B Shahbaba, L Li, F Agostinelli, M Saraf, KW Cooper, D Haghverdian, ... Nature communications 13 (1), 787, 2022 | 37 | 2022 |