| Automatic recognition of laryngoscopic images using a deep‐learning technique J Ren, X Jing, J Wang, X Ren, Y Xu, Q Yang, L Ma, Y Sun, W Xu, N Yang, ... The Laryngoscope 130 (11), E686-E693, 2020 | 84 | 2020 |
| Deep convolutional neural networks for multiplanar lung nodule detection: Improvement in small nodule identification S Zheng, LJ Cornelissen, X Cui, X Jing, RNJ Veldhuis, M Oudkerk, ... Medical physics 48 (2), 733-744, 2021 | 38 | 2021 |
| Using deep learning to safely exclude lesions with only ultrafast breast MRI to shorten acquisition and reading time X Jing, M Wielema, LJ Cornelissen, M van Gent, WM Iwema, S Zheng, ... European radiology 32 (12), 8706-8715, 2022 | 25 | 2022 |
| Breast tumor identification in ultrafast MRI using temporal and spatial information X Jing, MD Dorrius, M Wielema, PE Sijens, M Oudkerk, P van Ooijen Cancers 14 (8), 2042, 2022 | 8 | 2022 |
| Localization of contrast-enhanced breast lesions in ultrafast screening MRI using deep convolutional neural networks X Jing, MD Dorrius, S Zheng, M Wielema, M Oudkerk, PE Sijens, ... European Radiology 34 (3), 2084-2092, 2024 | 1 | 2024 |
| Automated Breast Density Assessment in MRI Using Deep Learning and Radiomics: Strategies for Reducing Inter‐Observer Variability X Jing, M Wielema, AG Monroy‐Gonzalez, TRG Stams, SVK Mahesh, ... Journal of Magnetic Resonance Imaging, 2023 | 1 | 2023 |
| Benchmarking PathCLIP for Pathology Image Analysis S Zheng, X Cui, Y Sun, J Li, H Li, Y Zhang, P Chen, X Jing, Z Ye, L Yang arXiv preprint arXiv:2401.02651, 2024 | | 2024 |
| Advancing breast cancer screening through the integration of artificial intelligence and ultrafast MRI X Jing | | 2023 |
Peter van OoijenUniversity of Groningen, Center for Medical Imaging North East NetherlandsVerified email at umcg.nl
