| Multi-contrast super-resolution MRI through a progressive network Q Lyu, H Shan, C Steber, C Helis, C Whitlow, M Chan, G Wang IEEE transactions on medical imaging 39 (9), 2738-2749, 2020 | 145 | 2020 |
| MRI super-resolution with ensemble learning and complementary priors Q Lyu, H Shan, G Wang IEEE Transactions on Computational Imaging 6, 615-624, 2020 | 108 | 2020 |
| Translating radiology reports into plain language using ChatGPT and GPT-4 with prompt learning: results, limitations, and potential Q Lyu, J Tan, ME Zapadka, J Ponnatapura, C Niu, KJ Myers, G Wang, ... Visual Computing for Industry, Biomedicine, and Art 6 (1), 9, 2023 | 107 | 2023 |
| Cine cardiac MRI motion artifact reduction using a recurrent neural network Q Lyu, H Shan, Y Xie, AC Kwan, Y Otaki, K Kuronuma, D Li, G Wang IEEE Transactions on Medical Imaging 40 (8), 2170-2181, 2021 | 61 | 2021 |
| Super-resolution MRI through deep learning Q Lyu, C You, H Shan, G Wang arXiv preprint arXiv:1810.06776, 2018 | 60 | 2018 |
| Translating radiology reports into plain language using chatgpt and gpt-4 with prompt learning: Promising results, limitations, and potential Q Lyu, J Tan, ME Zapadka, J Ponnatapura, C Niu, KJ Myers, G Wang, ... arXiv preprint arXiv:2303.09038, 2023 | 57 | 2023 |
| Super-resolution MRI and CT through GAN-circle Q Lyu, C You, H Shan, Y Zhang, G Wang Developments in X-ray tomography XII 11113, 202-208, 2019 | 57 | 2019 |
| Conversion between CT and MRI images using diffusion and score-matching models Q Lyu, G Wang arXiv preprint arXiv:2209.12104, 2022 | 55 | 2022 |
| Noise suppression with similarity-based self-supervised deep learning C Niu, M Li, F Fan, W Wu, X Guo, Q Lyu, G Wang IEEE transactions on medical imaging 42 (6), 1590-1602, 2022 | 48 | 2022 |
| Effects of different three-dimensional electrodes on epiretinal electrical stimulation by modeling analysis X Cao, X Sui, Q Lyu, L Li, X Chai Journal of neuroengineering and rehabilitation 12, 1-15, 2015 | 30 | 2015 |
| Image processing strategies based on a visual saliency model for object recognition under simulated prosthetic vision J Wang, H Li, W Fu, Y Chen, L Li, Q Lyu, T Han, X Chai Artificial Organs 40 (1), 94-100, 2016 | 26 | 2016 |
| Low-dose ct using denoising diffusion probabilistic model for 20× speedup W Xia, Q Lyu, G Wang arXiv preprint arXiv:2209.15136 3, 2022 | 19 | 2022 |
| A transformer-based deep-learning approach for classifying brain metastases into primary organ sites using clinical whole-brain MRI images Q Lyu, SV Namjoshi, E McTyre, U Topaloglu, R Barcus, MD Chan, ... Patterns 3 (11), 2022 | 17 | 2022 |
| A three-dimensional microelectrode array to generate virtual electrodes for epiretinal prosthesis based on a modeling study Q Lyu, Z Lu, H Li, S Qiu, J Guo, X Sui, P Sun, L Li, X Chai, NH Lovell International journal of neural systems 30 (03), 2050006, 2020 | 17 | 2020 |
| Suppression of correlated noise with similarity-based unsupervised deep learning C Niu, M Li, F Fan, W Wu, X Guo, Q Lyu, G Wang arXiv preprint arXiv:2011.03384, 2020 | 13 | 2020 |
| Cardiac CT motion artifact grading via semi-automatic labeling and vessel tracking using synthetic image-augmented training data Y Xu, A Sushmit, Q Lyu, Y Li, X Cao, JS Maltz, G Wang, H Yu Journal of X-Ray Science and Technology 30 (3), 433-445, 2022 | 10 | 2022 |
| Quantitative MRI: absolute T1, T2 and proton density parameters from deep learning Q Lyu, G Wang arXiv preprint arXiv:1806.07453, 2018 | 10 | 2018 |
| An ensemble learning method based on ordinal regression for COVID-19 diagnosis from chest CT X Guo, Y Lei, P He, W Zeng, R Yang, Y Ma, P Feng, Q Lyu, G Wang, ... Physics in Medicine & Biology 66 (24), 244001, 2021 | 9 | 2021 |
| Object recognition based on a foreground extraction method under simulated prosthetic vision T Han, H Li, Q Lyu, Y Zeng, X Chai 2015 International Symposium on Bioelectronics and Bioinformatics (ISBB …, 2015 | 9 | 2015 |
| Low-Dose CT Using Denoising Diffusion Probabilistic Model for 20 Speedup W Xia, Q Lyu, G Wang arXiv preprint arXiv:2209.15136, 2022 | 5 | 2022 |
Ge WangRensselaer Polytechnic Institute在 rpi.edu 的电子邮件经过验证
