| A computable evolution equation for the joint response-excitation probability density function of stochastic dynamical systems D Venturi, TP Sapsis, H Cho, GE Karniadakis Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2012 | 78 | 2012 |
| Karhunen–Loève expansion for multi-correlated stochastic processes H Cho, D Venturi, GE Karniadakis Probabilistic Engineering Mechanics 34, 157-167, 2013 | 72 | 2013 |
| Mathematical deconvolution of CAR T-cell proliferation and exhaustion from real-time killing assay data P Sahoo, X Yang, D Abler, D Maestrini, V Adhikarla, D Frankhouser, ... Journal of the Royal Society Interface 17 (162), 20190734, 2020 | 65 | 2020 |
| Numerical methods for high-dimensional probability density function equations H Cho, D Venturi, GE Karniadakis Journal of Computational Physics 305, 817-837, 2016 | 61 | 2016 |
| Modeling the chemotherapy-induced selection of drug-resistant traits during tumor growth H Cho, D Levy Journal of theoretical biology 436, 120-134, 2018 | 32 | 2018 |
| Mori-Zwanzig approach to uncertainty quantification D Venturi, H Cho, GE Karniadakis Handbook of uncertainty quantification, 1037-1073, 2017 | 30 | 2017 |
| Statistical analysis and simulation of random shocks in stochastic Burgers equation H Cho, D Venturi, GE Karniadakis Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2014 | 29 | 2014 |
| Adaptive discontinuous Galerkin method for response-excitation PDF equations H Cho, D Venturi, GE Karniadakis SIAM Journal on Scientific Computing 35 (4), B890-B911, 2013 | 27 | 2013 |
| Modeling the dynamics of heterogeneity of solid tumors in response to chemotherapy H Cho, D Levy Bulletin of Mathematical Biology 79, 2986-3012, 2017 | 24 | 2017 |
| Modelling acute myeloid leukaemia in a continuum of differentiation states H Cho, K Ayers, L DePills, YH Kuo, J Park, A Radunskaya, R Rockne Letters in biomathematics 5 (Suppl 1), S69, 2018 | 20 | 2018 |
| Modeling continuous levels of resistance to multidrug therapy in cancer H Cho, D Levy Applied Mathematical Modelling 64, 733-751, 2018 | 15 | 2018 |
| Data driven model discovery and interpretation for CAR T-cell killing using sparse identification and latent variables AB Brummer, A Xella, R Woodall, V Adhikarla, H Cho, M Gutova, ... Frontiers in immunology 14, 1115536, 2023 | 12 | 2023 |
| Designing experimental conditions to use the Lotka–Volterra model to infer tumor cell line interaction types H Cho, AL Lewis, KM Storey, HM Byrne Journal of Theoretical Biology 559, 111377, 2023 | 11 | 2023 |
| A framework for performing data-driven modeling of tumor growth with radiotherapy treatment H Cho, AL Lewis, KM Storey, R Jennings, B Shtylla, AM Reynolds, ... Using Mathematics to Understand Biological Complexity: From Cells to …, 2021 | 11 | 2021 |
| Study of dose-dependent combination immunotherapy using engineered T cells and IL-2 in cervical cancer H Cho, Z Wang, D Levy Journal of Theoretical Biology 505, 110403, 2020 | 8 | 2020 |
| The impact of competition between cancer cells and healthy cells on optimal drug delivery H Cho, D Levy Mathematical Modelling of Natural Phenomena 15, 42, 2020 | 8 | 2020 |
| Mathematical modeling with single-cell sequencing data H Cho, RC Rockne bioRxiv, 710640, 2019 | 7 | 2019 |
| Algorithms for propagating uncertainty across heterogeneous domains H Cho, X Yang, D Venturi, GE Karniadakis SIAM Journal on Scientific Computing 37 (6), A3030-A3054, 2015 | 7 | 2015 |
| Bayesian information-theoretic calibration of radiotherapy sensitivity parameters for informing effective scanning protocols in cancer H Cho, AL Lewis, KM Storey Journal of clinical medicine 9 (10), 3208, 2020 | 6 | 2020 |
| An adaptive reduced basis collocation method based on PCM ANOVA decomposition for anisotropic stochastic PDEs H Cho, HC Elman International Journal for Uncertainty Quantification 8 (3), 2018 | 6 | 2018 |
