Interface Growth Driven by Surface Kinetics and Convection. - Pak-Wing Fok; Tom Chou (SIAM J. Appl. Math., 2009)

Tracking Monotonically Advancing Boundaries in Image Sequences Using Graph Cuts and Recursive Kernel Shape Priors. - Joshua C. Chang; K. C. Brennan; Tom Chou (IEEE Trans. Medical Imaging, 2012)

Iterative Graph Cuts for Image Segmentation with a Nonlinear Statistical Shape Prior. - Joshua C. Chang; Tom Chou (J. Math. Imaging Vis., 2014)

Modeling large fluctuations of thousands of clones during hematopoiesis: The role of stem cell self-renewal and bursty progenitor dynamics in rhesus macaque. - Song Xu; Sanggu Kim; Irvin S. Y. Chen; Tom Chou (PLoS Comput. Biol., 2018)

Evolution of coagulation-fragmentation stochastic processes using accurate chemical master equation approach. - Farid Manuchehrfar; Wei Tian 003; Tom Chou; Jie Liang 002 (Commun. Inf. Syst., 2019)

A network model of immigration: Enclave formation vs. cultural integration. - Yao-Li Chuang; Tom Chou; Maria R. D'Orsogna (Networks Heterog. Media, 2019)

A frequency-dependent p-adaptive technique for spectral methods. - Mingtao Xia; Sihong Shao; Tom Chou (CoRR, 2020)

PDE Models of Adder Mechanisms in Cellular Proliferation. - Mingtao Xia; Chris D. Greenman; Tom Chou (SIAM J. Appl. Math., 2020)

Machine learning and statistical prediction of patient quality-of-life after prostate radiation therapy. - Zhijian Yang; Daniel J. Olszewski; Chujun He; Giulia Pintea; Jun Lian; Tom Chou; Ronald C. Chen; Blerta Shtylla (Comput. Biol. Medicine, 2021)

A frequency-dependent p-adaptive technique for spectral methods. - Mingtao Xia; Sihong Shao; Tom Chou (J. Comput. Phys., 2021)

Efficient Scaling and Moving Techniques for Spectral Methods in Unbounded Domains. - Mingtao Xia; Sihong Shao; Tom Chou (SIAM J. Sci. Comput., 2021)

Spectrally Adapted Physics-Informed Neural Networks for Solving Unbounded Domain Problems. - Mingtao Xia; Lucas Böttcher; Tom Chou (CoRR, 2022)

Adaptive Hermite Spectral Methods in Unbounded Domains. - Tom Chou; Sihong Shao; Mingtao Xia (CoRR, 2022)

Controlling Epidemics Through Optimal Allocation of Test Kits and Vaccine Doses Across Networks. - Mingtao Xia; Lucas Böttcher; Tom Chou (IEEE Trans. Netw. Sci. Eng., 2022)

Impact of random and targeted disruptions on information diffusion during outbreaks. - Hosein Masoomy; Tom Chou; Lucas Böttcher (CoRR, 2023)

A Spectral Approach for Learning Spatiotemporal Neural Differential Equations. - Mingtao Xia; Xiangting Li 001; Qijing Shen; Tom Chou (CoRR, 2023)

Squared Wasserstein-2 Distance for Efficient Reconstruction of Stochastic Differential Equations. - Mingtao Xia; Xiangting Li 001; Qijing Shen; Tom Chou (CoRR, 2024)

An efficient Wasserstein-distance approach for reconstructing jump-diffusion processes using parameterized neural networks. - Mingtao Xia; Xiangting Li 001; Qijing Shen; Tom Chou (CoRR, 2024)

Reliable ligand discrimination in stochastic multistep kinetic proofreading: First passage time vs. product counting strategies. - Xiangting Li 001; Tom Chou (PLoS Comput. Biol., 2024)

Learning unbounded-domain spatiotemporal differential equations using adaptive spectral methods. - Mingtao Xia; Xiangting Li 001; Qijing Shen; Tom Chou (J. Appl. Math. Comput., 2024)

Aggregating multiple test results to improve medical decision-making. - Lucas Böttcher; Maria R. D'Orsogna; Tom Chou (PLoS Comput. Biol., 2025)

Efficient Portfolio Selection through Preference Aggregation with Quicksort and the Bradley-Terry Model. - Yurun Ge; Lucas Böttcher; Tom Chou; Maria R. D'Orsogna (CoRR, 2025)