| Applications of deep learning in electron microscopy KP Treder, C Huang, JS Kim, AI Kirkland Microscopy 71 (Supplement_1), i100-i115, 2022 | 55 | 2022 |
| Trainable segmentation for transmission electron microscope images of inorganic nanoparticles CG Bell, KP Treder, JS Kim, ME Schuster, AI Kirkland, TJA Slater Journal of Microscopy 288 (3), 169-184, 2022 | 14 | 2022 |
| nNPipe: a neural network pipeline for automated analysis of morphologically diverse catalyst systems KP Treder, C Huang, CG Bell, TJA Slater, ME Schuster, D Özkaya, JS Kim, ... npj Computational Materials 9 (1), 18, 2023 | 7 | 2023 |
| Artificial intelligence and deep learning in electron microscopy KP Treder, C Huang, JS Kim, AI Kirkland Elsevier, 2025 | | 2025 |
| Quantitative electron ptychography for simultaneous light and heavy elements atom counting E Liberti, AN Moya, KP Treder, CM O'Leary, JS Kim, PD Nellist, ... Acta Crystallographica Section A: Foundations and Advances 77, 2022 | | 2022 |
| Automated analysis of heterogeneous catalyst materials using deep learning KP Treder University of Oxford, 2022 | | 2022 |
