| MRI-based pseudo CT synthesis using anatomical signature and alternating random forest with iterative refinement model Y Lei, JJ Jeong, T Wang, HK Shu, P Patel, S Tian, T Liu, H Shim, H Mao, ... Journal of Medical Imaging 5 (4), 043504-043504, 2018 | 76 | 2018 |
| Multi-needle detection in 3D ultrasound images using unsupervised order-graph regularized sparse dictionary learning Y Zhang, X He, Z Tian, JJ Jeong, Y Lei, T Wang, Q Zeng, AB Jani, ... IEEE transactions on medical imaging 39 (7), 2302-2315, 2020 | 64 | 2020 |
| Magnetic resonance imaging-based pseudo computed tomography using anatomic signature and joint dictionary learning Y Lei, HK Shu, S Tian, JJ Jeong, T Liu, H Shim, H Mao, T Wang, AB Jani, ... Journal of Medical Imaging 5 (3), 034001-034001, 2018 | 50 | 2018 |
| Automatic MRI prostate segmentation using 3D deeply supervised FCN with concatenated atrous convolution B Wang, Y Lei, JJ Jeong, T Wang, Y Liu, S Tian, P Patel, X Jiang, AB Jani, ... Medical Imaging 2019: Computer-Aided Diagnosis 10950, 988-995, 2019 | 34 | 2019 |
| Machine-learning-based classification of Glioblastoma using MRI-based radiomic features G Cui, JJ Jeong, Y Lei, T Wang, T Liu, WJ Curran, H Mao, X Yang Medical imaging 2019: computer-aided diagnosis 10950, 1063-1068, 2019 | 20 | 2019 |
| Machine-learning based classification of glioblastoma using dynamic susceptibility enhanced MR image JJ Jeong, B Ji, Y Lei, L Wang, T Liu, A Ali, WJ Curran, H Mao, X Yang Medical Imaging 2019: Biomedical Applications in Molecular, Structural, and …, 2019 | 7 | 2019 |
| Automated lung tumor delineation on positron emission tomography/computed tomography via a hybrid regional network Y Lei, T Wang, JJ Jeong, J Janopaul‐Naylor, AH Kesarwala, J Roper, ... Medical physics 50 (1), 274-283, 2023 | 6 | 2023 |
| Medical imaging 2020: image processing Q Zeng, Y Fu, J Jeong, Y Lei, T Wang, H Mao, AB Jani, P Patel, ... International Society for Optics and Photonics, 2020 | 5 | 2020 |
| Post-op brain tumor bed detection and segmentation using 3D Mask R-CNN for dynamic magnetic resonance perfusion imaging JJ Jeong, Y Lei, K Xu, T Liu, H Shim, WJ Curran, HK Shu, X Yang Medical Imaging 2021: Biomedical Applications in Molecular, Structural, and …, 2021 | 4 | 2021 |
| Surface-driven MRI-US registration using weakly-supervised learning in prostate brachytherapy Q Zeng, J Jeong, Y Lei, Z Tian, T Wang, X Dong, A Jani, P Patel, H Mao, ... MEDICAL PHYSICS 46 (6), E224-E224, 2019 | 2 | 2019 |
| A deep-learning-based intensity inhomogeneity correction for MR imaging Y Liu, Y Lei, J Jeong, T Wang, W Curran, T Liu, P Patel, X Yang Medical Physics 46 (6), E386-E386, 2019 | 2 | 2019 |
| Machine-learning-based classification of low-grade and high-grade glioblastoma using radiomic features in multiparametric MRI G Cui, J Jeong, Y Lei, T Wang, X Dong, T Liu, W Curran, H Mao, X Yang Medical Physics 45 (6), E617-E617, 2018 | 2 | 2018 |
| Machine learning of gliomas in 3D dynamic contrast enhanced MRI: automatic segmentation and classification JJ Jeong, Y Lei, Z Tian, H Mao, T Liu, X Yang Artificial Intelligence in Cancer Diagnosis and Prognosis, Volume 3: Brain …, 2022 | | 2022 |
| Artificial intelligence in imaging of coronary artery disease: current applications and future perspective BJ Guo, JJ Jeong, HY Qiao, S Tian, Y Lei, X Yang, LJ Zhang, GM Lu Chinese Journal of Academic Radiology 5 (1), 10-19, 2022 | | 2022 |
| Order-Graph Regularized Sparse Dictionary Learning for Unsupervised Multi-Needle Detection in 3D Ultrasound Images Y Zhang, Y Lei, J Jeong, Z Tian, Y Liu, T Wang, T Liu, A Jani, W Curran, ... MEDICAL PHYSICS 46 (6), E226-E226, 2019 | | 2019 |
