| Added value of computer-aided CT image features for early lung cancer diagnosis with small pulmonary nodules: a matched case-control study P Huang, S Park, R Yan, J Lee, LC Chu, CT Lin, A Hussien, J Rathmell, ... Radiology 286 (1), 286-295, 2018 | 212 | 2018 |
| Unpaired brain MR-to-CT synthesis using a structure-constrained CycleGAN H Yang, J Sun, A Carass, C Zhao, J Lee, Z Xu, J Prince Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2018 | 209 | 2018 |
| Analysis of Fourier‐domain task‐based detectability index in tomosynthesis and cone‐beam CT in relation to human observer performance GJ Gang, J Lee, JW Stayman, DJ Tward, W Zbijewski, JL Prince, ... Medical physics 38 (4), 1754-1768, 2011 | 174 | 2011 |
| Unsupervised MR-to-CT synthesis using structure-constrained CycleGAN H Yang, J Sun, A Carass, C Zhao, J Lee, JL Prince, Z Xu IEEE transactions on medical imaging 39 (12), 4249-4261, 2020 | 168 | 2020 |
| Anatomical background and generalized detectability in tomosynthesis and cone‐beam CT GJ Gang, DJ Tward, J Lee, JH Siewerdsen Medical physics 37 (5), 1948-1965, 2010 | 168 | 2010 |
| Distinguishing true progression from radionecrosis after stereotactic radiation therapy for brain metastases with machine learning and radiomics L Peng, V Parekh, P Huang, DD Lin, K Sheikh, B Baker, T Kirschbaum, ... International Journal of Radiation Oncology* Biology* Physics 102 (4), 1236-1243, 2018 | 146 | 2018 |
| Pixelation effect removal from fiber bundle probe based optical coherence tomography imaging JH Han, J Lee, JU Kang Optics express 18 (7), 7427-7439, 2010 | 126 | 2010 |
| Predicting acute radiation induced xerostomia in head and neck Cancer using MR and CT Radiomics of parotid and submandibular glands K Sheikh, SH Lee, Z Cheng, P Lakshminarayanan, L Peng, P Han, ... Radiation Oncology 14 (1), 1-11, 2019 | 109 | 2019 |
| Structure and variability in human tongue muscle anatomy M Stone, J Woo, J Lee, T Poole, A Seagraves, M Chung, E Kim, ... Computer Methods in Biomechanics and Biomedical Engineering: Imaging …, 2018 | 81 | 2018 |
| MR to CT registration of brains using image synthesis S Roy, A Carass, A Jog, JL Prince, J Lee Medical Imaging 2014: Image Processing 9034, 307-314, 2014 | 79 | 2014 |
| Whole brain segmentation and labeling from CT using synthetic MR images C Zhao, A Carass, J Lee, Y He, JL Prince Machine Learning in Medical Imaging: 8th International Workshop, MLMI 2017 …, 2017 | 76 | 2017 |
| 4D tumor centroid tracking using orthogonal 2D dynamic MRI: implications for radiotherapy planning E Tryggestad, A Flammang, R Hales, J Herman, J Lee, T McNutt, ... Medical physics 40 (9), 091712, 2013 | 73 | 2013 |
| Multi-view radiomics and dosiomics analysis with machine learning for predicting acute-phase weight loss in lung cancer patients treated with radiotherapy SH Lee, P Han, RK Hales, KR Voong, K Noro, S Sugiyama, JW Haller, ... Physics in Medicine & Biology 65 (19), 195015, 2020 | 69 | 2020 |
| Cross contrast multi-channel image registration using image synthesis for MR brain images M Chen, A Carass, A Jog, J Lee, S Roy, JL Prince Medical image analysis 36, 2-14, 2017 | 58 | 2017 |
| Multi-atlas-based CT synthesis from conventional MRI with patch-based refinement for MRI-based radiotherapy planning J Lee, A Carass, A Jog, C Zhao, JL Prince Medical Imaging 2017: Image Processing 10133, 434-439, 2017 | 49 | 2017 |
| Deformable MR-CT image registration using an unsupervised, dual-channel network for neurosurgical guidance R Han, CK Jones, J Lee, P Wu, P Vagdargi, A Uneri, PA Helm, M Luciano, ... Medical image analysis 75, 102292, 2022 | 48 | 2022 |
| Radiation versus immune checkpoint inhibitor associated pneumonitis: distinct radiologic morphologies X Chen, K Sheikh, E Nakajima, CT Lin, J Lee, C Hu, RK Hales, PM Forde, ... The Oncologist 26 (10), e1822-e1832, 2021 | 47 | 2021 |
| Artificial intelligence-based radiotherapy machine parameter optimization using reinforcement learning WT Hrinivich, J Lee Medical Physics 47 (12), 6140-6150, 2020 | 44 | 2020 |
| Dose/volume histogram patterns in salivary gland subvolumes influence xerostomia injury and recovery P Han, P Lakshminarayanan, W Jiang, I Shpitser, X Hui, SH Lee, Z Cheng, ... Scientific reports 9 (1), 3616, 2019 | 44 | 2019 |
| Penalized-likelihood reconstruction for sparse data acquisitions with unregistered prior images and compressed sensing penalties JW Stayman, W Zbijewski, Y Otake, A Uneri, S Schafer, J Lee, JL Prince, ... Medical Imaging 2011: Physics of Medical Imaging 7961, 463-468, 2011 | 42 | 2011 |
Jerry L. PrinceProfessor of Electrical and Computer Engineering, Johns Hopkins Universityjhu.edu의 이메일 확인됨
