| Iron imaging in myocardial infarction reperfusion injury BF Moon, SK Iyer, E Hwuang, MP Solomon, AT Hall, R Kumar, ... Nature communications 11 (1), 3273, 2020 | 31 | 2020 |
| Corrosion Image Data Set for Automating Scientific Assessment of Materials. B Yin, N Josselyn, TA Considine, JV Kelley, B Rinderspacher, RE Jensen, ... BMVC, 102, 2021 | 12 | 2021 |
| Magnetic susceptibility and R2* of myocardial reperfusion injury at 3T and 7T BF Moon, SK Iyer, NJ Josselyn, E Hwuang, S Swago, SJ Keeney, ... Magnetic resonance in medicine 87 (1), 323-336, 2022 | 6 | 2022 |
| Data‐Driven Quantitative Susceptibility Mapping Using Loss Adaptive Dipole Inversion (LADI) S Kamesh Iyer, BF Moon, N Josselyn, K Ruparel, D Roalf, JW Song, ... Journal of Magnetic Resonance Imaging 52 (3), 823-835, 2020 | 5 | 2020 |
| Automated, calibration-free quantification of cortical bone porosity and geometry in postmenopausal osteoporosis from ultrashort echo time MRI and deep learning BC Jones, FW Wehrli, N Kamona, RS Deshpande, BTD Vu, HK Song, ... Bone 171, 116743, 2023 | 2 | 2023 |
| Quantitative susceptibility mapping using plug-and-play alternating direction method of multipliers S Kamesh Iyer, BF Moon, N Josselyn, RM Kurtz, JW Song, JB Ware, ... Scientific Reports 12 (1), 21679, 2022 | 2 | 2022 |
| Transferring Indoor Corrosion Image Assessment Models to Outdoor Images via Domain Adaptation N Josselyn, B Yin, T Considine, J Kelley, B Rinderspacher, R Jensen, ... 2022 21st IEEE International Conference on Machine Learning and Applications …, 2022 | 1 | 2022 |
| Classification of Myocardial 18F-FDG PET Uptake Patterns Using Deep Learning N Josselyn, MT MacLean, C Jean, B Fuchs, BF Moon, E Hwuang, SK Iyer, ... Radiology: Artificial Intelligence 3 (4), e200148, 2021 | 1 | 2021 |
| AlloyGAN: Domain-Promptable Generative Adversarial Network for Generating Aluminum Alloy Microstructures B Yin, Y Fan, N Josselyn, E Rundensteiner 2023 International Conference on Machine Learning and Applications (ICMLA …, 2023 | | 2023 |
| DeepSC-Edge: Scientific Corrosion Segmentation with Edge-Guided and Class-Balanced Losses B Yin, N Josselyn, T Considine, J Kelley, B Rinderspacher, R Jensen, ... 2023 International Conference on Machine Learning and Applications (ICMLA …, 2023 | | 2023 |
| MOSS: AI Platform for Discovery of Corrosion-Resistant Materials B Yin, N Josselyn, Z Zhang, EA Rundensteiner, TA Considine, JV Kelley, ... Proceedings of the 32nd ACM International Conference on Information and …, 2023 | | 2023 |
| An Empirical Study of Domain Adaptation: Are We Really Learning Transferable Representations? N Josselyn, B Yin, Z Zhang, E Rundensteiner 2022 IEEE International Conference on Big Data (Big Data), 5504-5513, 2022 | | 2022 |
| Deep Learning for Rapid High-Resolution Proximal Femur MRI Scans B Jones, C Osuna, S Iyer, O Sandvold, N Josselyn, M MacLean, G Chang, ... JOURNAL OF BONE AND MINERAL RESEARCH 35, 209-209, 2020 | | 2020 |
| Automatic classification of myocardial 18-FDG uptake patterns using deep learning N Josselyn, M MacLean, B Fuchs, P Bravo, W Witschey Journal of Nuclear Medicine 61 (supplement 1), 525-525, 2020 | | 2020 |
| A non-local filtering based approach for high quality quantitative susceptibility mapping reconstruction SK Iyer, BF Moon, NJ Josselyn, E Hwuang, JB Ware, D Roalf, JW Song, ... | | |
| The effect of voxel size on magnetic susceptibility and R2* of intramyocardial hemorrhage at 3 and 7 T BF Moon, SK Iyer, NJ Josselyn, JJ Pilla, JH Gorman III, RC Gorman, ... | | |
| Magnetic susceptibility, R2* and iron evolve during reperfusion injury wound healing BF Moon, SK Iyer, E Hwuang, NJ Josselyn, JJ Pilla, JH Gorman III, ... | | |
