| Multimodal imaging and machine learning to enhance microscope images of shale TI Anderson, B Vega, AR Kovscek Computers & Geosciences 145, 104593, 2020 | 47 | 2020 |
| Flexible and efficient optimization of quantitative sequences using automatic differentiation of Bloch simulations PK Lee, LE Watkins, TI Anderson, G Buonincontri, BA Hargreaves Magnetic resonance in medicine 82 (4), 1438-1451, 2019 | 37 | 2019 |
| Striving to translate shale physics across ten orders of magnitude: What have we learned? Y Mehmani, T Anderson, Y Wang, SA Aryana, I Battiato, HA Tchelepi, ... Earth-Science Reviews 223, 103848, 2021 | 31 | 2021 |
| Time compressed delivery for quantitative college courses: The key to student success TI Anderson, RJ Anderson Academy of Educational Leadership Journal 16, 55, 2012 | 22 | 2012 |
| Reconstructing porous media using generative flow networks KM Guan, TI Anderson, P Creux, AR Kovscek Computers & Geosciences 156, 104905, 2021 | 19 | 2021 |
| Analysis and comparison of in-situ combustion chemical reaction models TI Anderson, AR Kovscek Fuel 311, 122599, 2022 | 16 | 2022 |
| RockFlow: Fast generation of synthetic source rock images using generative flow models TI Anderson, KM Guan, B Vega, SA Aryana, AR Kovscek Energies 13 (24), 6571, 2020 | 16 | 2020 |
| Multimodal brain MRI tumor segmentation via convolutional neural networks L Shen, T Anderson vol 18, 2014-2015, 2017 | 15 | 2017 |
| Economic analysis of solar-based thermal enhanced oil recovery T Anderson SPE Annual Technical Conference and Exhibition?, SPE-173466-STU, 2014 | 13 | 2014 |
| Applications of additive manufacturing to rock analogue fabrication T Anderson SPE Annual Technical Conference and Exhibition?, D023S099R013, 2016 | 12 | 2016 |
| Optimization and uncertainty quantification of in situ combustion chemical reaction models TI Anderson, AR Kovscek Fuel 319, 123683, 2022 | 11 | 2022 |
| 2D-to-3D image translation of complex nanoporous volumes using generative networks TI Anderson, B Vega, J McKinzie, SA Aryana, AR Kovscek Scientific Reports 11 (1), 20768, 2021 | 6 | 2021 |
| Ignition forecast based on chemical kinetics and uncertainty quantification Y Li, TI Anderson, AR Kovscek SPE Western Regional Meeting, 2021 | 5 | 2021 |
| Predicting heavy oil combustion kinetics with machine learning TI Anderson, Y Li, AR Kovscek SPE Western Regional Meeting, 2021 | 4 | 2021 |
| Split-complex convolutional neural networks T Anderson | 4 | 2017 |
| Regularization and Applications of a Network Structure Deep Image Prior T Anderson Semantic Scholar, 2018 | 2 | 2018 |
| Data-driven methods in laboratory-scale study of enhanced oil recovery T Anderson Stanford University, 2021 | 1 | 2021 |
| Evaluation of Image Prediction Models for Nondestructive Porous Media Characterization T Anderson, B Vega, K Guan, A Kovscek AGU Fall Meeting Abstracts 2021, H53A-04, 2021 | | 2021 |
| Reconstruction and Synthesis of Source Rock Images at the Pore Scale T Anderson SPE Annual Technical Conference and Exhibition?, D011S199R010, 2021 | | 2021 |
| Rapid Synthesis of Porous Media Volumes with Deep Learning Generative Models T Anderson, KM Guan, AR Kovscek AGU Fall Meeting 2020, 2020 | | 2020 |
