Nick Henscheid
Publications by Year
Research Areas
Mathematical Biology Tumor Growth, Computational Drug Discovery Methods, Medical Imaging Techniques and Applications, Medical Image Segmentation Techniques, Advanced Optimization Algorithms Research
Most-Cited Works
- → A Tutorial and Use Case Example of the eXtreme Gradient Boosting (XGBoost) Artificial Intelligence Algorithm for Drug Development Applications(2025)47 cited
- → A tutorial review of mathematical techniques for quantifying tumor heterogeneity(2020)18 cited
- → Physiological random processes in precision cancer therapy(2018)17 cited
- → Wassmap: Wasserstein Isometric Mapping for Image Manifold Learning(2023)16 cited
- → Iterative Scheme for Solving Optimal Transportation Problems Arising in Reflector Design(2013)7 cited
- → Accelerating healthcare innovation: the role of Artificial intelligence and digital health technologies in critical path institute’s public‐private partnerships(2024)5 cited
- → Generating patient-specific virtual tumor populations with reaction-diffusion models and molecular imaging data(2020)5 cited
- → T1dCteGui: A User‐Friendly Clinical Trial Enrichment Tool to Optimize T1D Prevention Studies by Leveraging AI/ML Based Synthetic Patient Population(2023)5 cited
- → Evaluation of Photon Processing Detectors using the Fourier Crosstalk Matrix(2017)3 cited
- → Publication Recommendations to Report Laboratory Data of Neonates – a Modified Delphi Approach(2024)3 cited