| Metal artifact reduction in CT: where are we after four decades? L Gjesteby, B De Man, Y Jin, H Paganetti, J Verburg, D Giantsoudi, ... Ieee Access 4, 5826-5849, 2016 | 223 | 2016 |
| Structurally-sensitive multi-scale deep neural network for low-dose CT denoising C You, Q Yang, H Shan, L Gjesteby, G Li, S Ju, Z Zhang, Z Zhao, Y Zhang, ... IEEE access 6, 41839-41855, 2018 | 188 | 2018 |
| Metal artifacts in computed tomography for radiation therapy planning: dosimetric effects and impact of metal artifact reduction D Giantsoudi, B De Man, J Verburg, A Trofimov, Y Jin, G Wang, ... Physics in Medicine & Biology 62 (8), R49, 2017 | 118 | 2017 |
| Deep learning methods to guide CT image reconstruction and reduce metal artifacts L Gjesteby, Q Yang, Y Xi, Y Zhou, J Zhang, G Wang Medical Imaging 2017: Physics of Medical Imaging 10132, 752-758, 2017 | 89 | 2017 |
| Deep learning methods for CT image-domain metal artifact reduction L Gjesteby, Q Yang, Y Xi, H Shan, B Claus, Y Jin, B De Man, G Wang Developments in X-ray Tomography XI 10391, 147-152, 2017 | 73 | 2017 |
| Vision 20/20: Simultaneous CT‐MRI—Next chapter of multimodality imaging G Wang, M Kalra, V Murugan, Y Xi, L Gjesteby, M Getzin, Q Yang, ... Medical physics 42 (10), 5879-5889, 2015 | 55 | 2015 |
| Semiautomatic volumetric tumor segmentation for hepatocellular carcinoma: comparison between C-arm cone beam computed tomography and MRI V Tacher, MD Lin, M Chao, L Gjesteby, N Bhagat, A Mahammedi, R Ardon, ... Academic radiology 20 (4), 446-452, 2013 | 53 | 2013 |
| Reducing metal streak artifacts in CT images via deep learning: Pilot results L Gjesteby, Q Yang, Y Xi, B Claus, Y Jin, B De Man, G Wang The 14th International Meeting on Fully Three-Dimensional Image …, 2017 | 50 | 2017 |
| A dual-stream deep convolutional network for reducing metal streak artifacts in CT images L Gjesteby, H Shan, Q Yang, Y Xi, Y Jin, D Giantsoudi, H Paganetti, ... Physics in Medicine & Biology 64 (23), 235003, 2019 | 36 | 2019 |
| Deep Neural Network for CT Metal Artifact Reduction with a Perceptual Loss Function L Gjesteby, H Shan, Q Yang, Y Xi, B Claus, Y Jin, B De Man, G Wang The Fifth International Conference on Image Formation in X-ray Computed …, 2018 | 33 | 2018 |
| Metal-Artifact Reduction Using Deep-Learning Based Sinogram Completion: Initial Results BEH Claus, Y Jin, LA Gjesteby, G Wang, B De Man The 14th International Meeting on Fully Three-Dimensional Image …, 2017 | 30 | 2017 |
| X-optogenetics and U-optogenetics: feasibility and possibilities R Berry, M Getzin, L Gjesteby, G Wang Photonics 2 (1), 23-39, 2015 | 29 | 2015 |
| Hybrid imaging system for simultaneous spiral MR and x-ray (MRX) scans L Gjesteby, Y Xi, MK Kalra, Q Yang, G Wang IEEE Access 5, 1050-1061, 2016 | 18 | 2016 |
| Training a CNN with pseudo ground truth for CT artifact reduction G Wang, LA Gjesteby, H Shan US Patent 11,120,551, 2021 | 12 | 2021 |
| A directional TV based ring artifact reduction method M Salehjahromi, Q Wang, LA Gjesteby, D Harrison, G Wang, H Yu Medical Imaging 2019: Physics of Medical Imaging 10948, 593-599, 2019 | 9 | 2019 |
| AI-enabled, ultrasound-guided handheld robotic device for femoral vascular access LJ Brattain, TT Pierce, LA Gjesteby, MR Johnson, ND DeLosa, JS Werblin, ... Biosensors 11 (12), 522, 2021 | 7 | 2021 |
| A new iterative algorithm for ring artifact reduction in CT using ring total variation M Salehjahromi, Q Wang, Y Zhang, LA Gjesteby, D Harrison, G Wang, ... Medical physics 46 (11), 4803-4815, 2019 | 7 | 2019 |
| Metal artifact reduction for radiation therapy: a simulation study Y Jin, D Giantsoudi, L Fu, J Verburg, L Gjesteby, G Wang, H Paganetti, ... Medical Imaging 2018: Physics of Medical Imaging 10573, 200-205, 2018 | 7 | 2018 |
| Quadratic neural networks for CT metal artifact reduction F Fan, H Shan, L Gjesteby, G Wang Developments in X-Ray Tomography XII 11113, 195-201, 2019 | 6 | 2019 |
| Nanoparticle-enabled x-ray magnetic resonance imaging (nxmri) G Wang, MW Getzin, LA Gjesteby, W Cong US Patent App. 15/305,510, 2017 | 6 | 2017 |
