| Artificial intelligence–enabled rapid diagnosis of patients with COVID-19 X Mei, HC Lee, K Diao, M Huang, B Lin, C Liu, Z Xie, Y Ma, PM Robson, ... Nature medicine 26 (8), 1224-1228, 2020 | 1137 | 2020 |
| Deep learning MR imaging–based attenuation correction for PET/MR imaging F Liu, H Jang, R Kijowski, T Bradshaw, AB McMillan Radiology 286 (2), 676-684, 2018 | 443 | 2018 |
| Deep convolutional neural network and 3D deformable approach for tissue segmentation in musculoskeletal magnetic resonance imaging F Liu, Z Zhou, H Jang, A Samsonov, G Zhao, R Kijowski Magnetic resonance in medicine 79 (4), 2379-2391, 2018 | 349 | 2018 |
| Deep learning approach for evaluating knee MR images: achieving high diagnostic performance for cartilage lesion detection F Liu, Z Zhou, A Samsonov, D Blankenbaker, W Larison, A Kanarek, ... Radiology 289 (1), 160-169, 2018 | 263 | 2018 |
| Deep convolutional neural network for segmentation of knee joint anatomy Z Zhou, G Zhao, R Kijowski, F Liu Magnetic resonance in medicine 80 (6), 2759-2770, 2018 | 225 | 2018 |
| Fully automated diagnosis of anterior cruciate ligament tears on knee MR images by using deep learning F Liu, B Guan, Z Zhou, A Samsonov, H Rosas, K Lian, R Sharma, ... Radiology: Artificial Intelligence 1 (3), 180091, 2019 | 140 | 2019 |
| MANTIS: Model‐Augmented Neural neTwork with Incoherent k‐space Sampling for efficient MR parameter mapping F Liu, L Feng, R Kijowski Magnetic resonance in medicine 82 (1), 174-188, 2019 | 131 | 2019 |
| Fast realistic MRI simulations based on generalized multi-pool exchange tissue model F Liu, JV Velikina, WF Block, R Kijowski, AA Samsonov IEEE transactions on medical imaging 36 (2), 527-537, 2016 | 130 | 2016 |
| A deep learning approach for 18F-FDG PET attenuation correction F Liu, H Jang, R Kijowski, G Zhao, T Bradshaw, AB McMillan EJNMMI physics 5, 1-15, 2018 | 126 | 2018 |
| SANTIS: sampling‐augmented neural network with incoherent structure for MR image reconstruction F Liu, A Samsonov, L Chen, R Kijowski, L Feng Magnetic resonance in medicine 82 (5), 1890-1904, 2019 | 102 | 2019 |
| Deep learning for lesion detection, progression, and prediction of musculoskeletal disease R Kijowski, F Liu, F Caliva, V Pedoia Journal of magnetic resonance imaging 52 (6), 1607-1619, 2020 | 94 | 2020 |
| Magnetic resonance parameter mapping using model‐guided self‐supervised deep learning F Liu, R Kijowski, G El Fakhri, L Feng Magnetic resonance in medicine 85 (6), 3211-3226, 2021 | 93 | 2021 |
| Knee imaging: Rapid three‐dimensional fast spin‐echo using compressed sensing R Kijowski, H Rosas, A Samsonov, K King, R Peters, F Liu Journal of Magnetic Resonance Imaging 45 (6), 1712-1722, 2017 | 85 | 2017 |
| MR‐based treatment planning in radiation therapy using a deep learning approach F Liu, P Yadav, AM Baschnagel, AB McMillan Journal of applied clinical medical physics 20 (3), 105-114, 2019 | 84 | 2019 |
| Bayesian convolutional neural network based MRI brain extraction on nonhuman primates G Zhao, F Liu, JA Oler, ME Meyerand, NH Kalin, RM Birn Neuroimage 175, 32-44, 2018 | 84 | 2018 |
| Oxytocin differentially alters resting state functional connectivity between amygdala subregions and emotional control networks: Inverse correlation with depressive traits M Eckstein, S Markett, KM Kendrick, B Ditzen, F Liu, R Hurlemann, ... Neuroimage 149, 458-467, 2017 | 82 | 2017 |
| Improving the speed of MRI with artificial intelligence PM Johnson, MP Recht, F Knoll Seminars in musculoskeletal radiology 24 (01), 012-020, 2020 | 76 | 2020 |
| Deep learning approach to predict pain progression in knee osteoarthritis B Guan, F Liu, AH Mizaian, S Demehri, A Samsonov, A Guermazi, ... Skeletal radiology, 1-11, 2022 | 75 | 2022 |
| GRASP‐Pro: imProving GRASP DCE‐MRI through self‐calibrating subspace‐modeling and contrast phase automation L Feng, Q Wen, C Huang, A Tong, F Liu, H Chandarana Magnetic resonance in medicine 83 (1), 94-108, 2020 | 75 | 2020 |
| SUSAN: segment unannotated image structure using adversarial network F Liu Magnetic resonance in medicine 81 (5), 3330-3345, 2019 | 73 | 2019 |
Li FengAssociate Professor of Radiology & Director of Rapid Imaging, NYU Grossman School of Medicinenyulangone.org의 이메일 확인됨