| Organoid intelligence (OI): the new frontier in biocomputing and intelligence-in-a-dish L Smirnova, BS Caffo, DH Gracias, Q Huang, IE Morales Pantoja, B Tang, ... Frontiers in Science 1, 1017235, 2023 | 162 | 2023 |
| Shell microelectrode arrays (MEAs) for brain organoids Q Huang, B Tang, JC Romero, Y Yang, SK Elsayed, G Pahapale, TJ Lee, ... Science advances 8 (33), eabq5031, 2022 | 101 | 2022 |
| Online gradient descent algorithms for functional data learning X Chen, B Tang, J Fan, X Guo Journal of Complexity 70, 101635, 2022 | 32 | 2022 |
| Phase-locking of resting-state brain networks with the gastric basal electrical rhythm AS Choe, B Tang, KR Smith, H Honari, MA Lindquist, BS Caffo, JJ Pekar PloS one 16 (1), e0244756, 2021 | 21 | 2021 |
| Quantitative EEG improves prediction of Sturge-Weber syndrome in infants with port-wine birthmark RE Gill, B Tang, L Smegal, JH Adamek, D McAuliffe, BM Lakshmanan, ... Clinical Neurophysiology 132 (10), 2440-2446, 2021 | 15 | 2021 |
| Differences in functional connectivity distribution after transcranial direct‐current stimulation: A connectivity density point of view B Tang, Y Zhao, A Venkataraman, K Tsapkini, MA Lindquist, J Pekar, ... Human Brain Mapping 44 (1), 170-185, 2023 | 12 | 2023 |
| Evaluating causal psychological models: A study of language theories of autism using a large sample B Tang, M Levine, JH Adamek, EL Wodka, BS Caffo, JB Ewen Frontiers in Psychology 14, 1060525, 2023 | 8 | 2023 |
| Sa1470 Risk Estimation, Machine Learning Based ERCP Decision-Making Tool for Suspected Choledocholithiasis VS Akshintala, B Tang, A Kamal, JL Buxbaum, BJ Elmunzer, SB Wani, ... Gastrointestinal Endoscopy 89 (6), AB246-AB247, 2019 | 7 | 2019 |
| A machine learning-based choledocholithiasis prediction tool to improve ERCP decision making: a proof-of-concept study SN Steinway, B Tang, J Telezing, A Ashok, A Kamal, CY Yu, N Jagtap, ... Endoscopy 56 (03), 165-171, 2024 | 6 | 2024 |
| Accelerating Fixed-Point Algorithms in Statistics and Data Science: A State-of-Art Review. B Tang, NC Henderson, R Varadhan Journal of Data Science 21 (1), 2023 | 6 | 2023 |
| Organoid intelligence (OI): the new frontier in biocomputing and intelligence-in-a-dish. Front. Sci.(2023) L Smirnova, B Caffo, D Gracias, Q Huang, IM Pantoja, B Tang, D Zack | 5 | 2023 |
| Neural correlates of syntactic comprehension: A longitudinal study SM Sheppard, EL Meier, KT Kim, BL Breining, LM Keator, B Tang, ... Brain and language 225, 105068, 2022 | 5 | 2022 |
| Direct bayesian regression for distribution-valued covariates B Tang, S Pramanik, Y Zhao, B Caffo, A Datta arXiv preprint arXiv:2303.06434, 2023 | 2 | 2023 |
| Methodological considerations in analyzing synchronization of resting-state brain networks with the intrinsic electrical rhythm of the stomach: Advantages of weighted phase-locking AS Choe, B Tang, KR Smith, H Honari, MA Lindquist, BS Caffo, JJ Pekar bioRxiv, 2021.09. 20.461120, 2021 | 2 | 2021 |
| Distribution Regression: Theory and Application B Tang Johns Hopkins University, 2023 | 1 | 2023 |
| Direct Bayesian linear regression for distribution-valued covariates B Tang, S Pramanik, Y Zhao, B Caffo, A Datta Electronic journal of statistics 18 (2), 3327, 2024 | | 2024 |
| Density-on-Density Regression Y Zhao, A Datta, B Tang, V Zipunnikov, BS Caffo arXiv preprint arXiv:2307.03642, 2023 | | 2023 |
| Causal Modeling of Large Psychological Datasets to Evaluate Theories of Imitation in Autism JB Ewen, B Tang, EL Wodka, B Caffo INSAR 2023, 2023 | | 2023 |
| Evaluating Causal Psychological Models: Causes of Altered Imitation in Autism Using a Large Sample B Tang, EL Wodka, BS Caffo, J Ewen PsyArXiv, 2023 | | 2023 |
| Evaluating Causal Psychological Models: A Study of Imitation Theories of Autism Using a Large Sample B Tang, EL Wodka, BS Caffo, J Ewen PsyArXiv, 2023 | | 2023 |
