| RadImageNet: an open radiologic deep learning research dataset for effective transfer learning X Mei, Z Liu, PM Robson, B Marinelli, M Huang, A Doshi, A Jacobi, C Cao, ... Radiology: Artificial Intelligence 4 (5), e210315, 2022 | 140 | 2022 |
| Interstitial lung disease diagnosis and prognosis using an AI system integrating longitudinal data X Mei, Z Liu, A Singh, M Lange, P Boddu, JQX Gong, J Lee, C DeMarco, ... Nature communications 14 (1), 2272, 2023 | 14 | 2023 |
| Dam breach simulation with the material point method C Cao, M Neilsen Computation 9 (2), 8, 2021 | 8 | 2021 |
| Efficient Seed Volume Measurement Framework C Cao, M Neilsen | 8 | 2020 |
| Sensitivity analysis of internal erosion models for dam safety ML Neilsen, C Cao 2019 International Conference on Computational Science and Computational …, 2019 | 6 | 2019 |
| Coupled dam safety analysis using BREACH and WinDAM ML Neilsen, C Cao Proceedings of the International Conference on Scientific Computing (CSC), 82-85, 2017 | 4 | 2017 |
| Computer vision frameworks for physics-based simulation of liquids and solids C Cao Kansas State University, 2020 | 3 | 2020 |
| Flexible Architecture for Analysis of Water Control Structures C Cao, ML Neilsen | 3 | 2018 |
| Radimagenet: A large-scale radiologic dataset for enhancing deep learning transfer learning research Y Yang, X Mei, P Robson, B Marinelli, M Huang, A Doshi, A Jacobi, K Link, ... | 2 | 2021 |
| Linear regression with Laplace measurement error C Cao Kansas State University, 2016 | 1 | 2016 |
| RadImageNet: A Large-scale Radiologic Dataset for Enhancing Deep Learning Transfer Learning Research (preprint) Y Yang, X Mei, P Robson, B Marinelli, M Huang, A Doshi, A Jacobi, K Link, ... | | 2021 |
| Dam Breach Simulation with the Material Point Method. Computation 2021, 9, 8 C Cao, M Neilsen s Note: MDPI stays neu-tral with regard to jurisdictional clai-ms in …, 2021 | | 2021 |
Mitchell NeilsenProfessor of Computer Science, Kansas State UniversityVerified email at ksu.edu
