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James Lu
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2020 – today
- 2024
- [j10]Erick Velasquez, Nastya Kassir, Sravanthi Cheeti, Denison Kuruvilla, Rucha Sane, Steve Dang, Dale Miles, James Lu
:
Predicting overall survival from tumor dynamics metrics using parametric statistical and machine learning models: application to patients with RET-altered solid tumors. Frontiers Artif. Intell. 7 (2024) - [i5]Samira Pakravan, Nikolaos Evangelou, Maxime Usdin, Logan Brooks, James Lu:
From Noise to Signal: Unveiling Treatment Effects from Digital Health Data through Pharmacology-Informed Neural-SDE. CoRR abs/2403.03274 (2024) - 2023
- [c6]You Wu, Omid Bazgir, Yongju Lee, Tommaso Biancalani, James Lu, Ehsan Hajiramezanali:
Multitask-Guided Self-Supervised Tabular Learning for Patient-Specific Survival Prediction. MLCB 2023: 10-22 - [i4]Mark Laurie, James Lu:
Explainable Deep Learning for Tumor Dynamic Modeling and Overall Survival Prediction using Neural-ODE. CoRR abs/2308.01362 (2023) - [i3]Omid Bazgir, Zichen Wang, Marc Hafner, James Lu:
Integration of Graph Neural Network and Neural-ODEs for Tumor Dynamic Prediction. CoRR abs/2310.00926 (2023) - 2021
- [j9]James Lu
Deep learning prediction of patient response time course from early data via neural-pharmacokinetic/pharmacodynamic modelling. Nat. Mach. Intell. 3(8): 696-704 (2021) - [i2]Sameer Sundrani, James Lu:
Computing the Hazard Ratios Associated with Explanatory Variables Using Machine Learning Models of Survival Data. CoRR abs/2102.00637 (2021) - 2020
- [j8]Jennifer L. Wilson
An in vitro quantitative systems pharmacology approach for deconvolving mechanisms of drug-induced, multilineage cytopenias. PLoS Comput. Biol. 16(7) (2020) - [i1]James Lu, Brendan Bender, Jin Y. Jin, Yuanfang Guan:
Deep learning prediction of patient response time course from early data via neural-pharmacokinetic/pharmacodynamic modeling. CoRR abs/2010.11769 (2020)
2010 – 2019
- 2016
- [j7]Ricardo Henao, James Lu, Joseph E. Lucas, Jeffrey M. Ferranti, Lawrence Carin:
Electronic Health Record Analysis via Deep Poisson Factor Models. J. Mach. Learn. Res. 17: 186:1-186:32 (2016) - 2015
- [c5]Ricardo Henao, Zhe Gan, James Lu, Lawrence Carin:
Deep Poisson Factor Modeling. NIPS 2015: 2800-2808 - 2014
- [j6]James Lu
An In-Silico Model of Lipoprotein Metabolism and Kinetics for the Evaluation of Targets and Biomarkers in the Reverse Cholesterol Transport Pathway. PLoS Comput. Biol. 10(3) (2014) - 2013
- [j5]Heinz Koeppl, Marc Hafner
Mapping behavioral specifications to model parameters in synthetic biology. BMC Bioinform. 14(S-10): S9 (2013) - 2012
- [c4]Elias August, James Lu, Heinz Koeppl:
Trajectory enclosures for nonlinear systems with uncertain initial conditions and parameters. ACC 2012: 1488-1493 - 2011
- [c3]Elias August, Yongqiang Wang, Francis J. Doyle, James Lu, Heinz Koeppl:
Computationally implementable sufficient conditions for the synchronisation of coupled dynamical systems with time delays in the coupling. ACC 2011: 839-844
2000 – 2009
- 2007
- [c2]James Lu
Inverse Bifurcation Analysis of a Model for the Mammalian G 1/ S Regulatory Module. BIRD 2007: 168-184 - 2006
- [j4]James Lu
Inverse bifurcation analysis: application to simple gene systems. Algorithms Mol. Biol. 1 (2006) - [j3]Rainer Machné
The SBML ODE Solver Library: a native API for symbolic and fast numerical analysis of reaction networks. Bioinform. 22(11): 1406-1407 (2006) - [c1]Savio Chau, Van Dang, Joseph Xu, James Lu:
An Automatic Technique to Synthesize Avionics Architecture. AHS 2006: 313-316 - 2004
- [j2]James Lu
Higher-Dimensional Integration with Gaussian Weight for Applications in Probabilistic Design. SIAM J. Sci. Comput. 26(2): 613-624 (2004) - 2003
- [j1]James Lu
A Quasi-Minimal Residual Method for Simultaneous Primal-Dual Solutions and Superconvergent Functional Estimates. SIAM J. Sci. Comput. 24(5): 1693-1709 (2003)
Coauthor Index
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