| Radiomic signature of 18F fluorodeoxyglucose PET/CT for prediction of gastric cancer survival and chemotherapeutic benefits Y Jiang, Q Yuan, W Lv, S Xi, W Huang, Z Sun, H Chen, L Zhao, W Liu, ... Theranostics 8 (21), 5915, 2018 | 129 | 2018 |
| Robustness of Radiomic Features in [11C]Choline and [18F]FDG PET/CT Imaging of Nasopharyngeal Carcinoma: Impact of Segmentation and Discretization L Lu, W Lv, J Jiang, J Ma, Q Feng, A Rahmim, W Chen Molecular Imaging and Biology 18, 935-945, 2016 | 129 | 2016 |
| Improved prediction of outcome in Parkinson's disease using radiomics analysis of longitudinal DAT SPECT images A Rahmim, P Huang, N Shenkov, S Fotouhi, E Davoodi-Bojd, L Lu, Z Mari, ... NeuroImage: Clinical 16, 539-544, 2017 | 106 | 2017 |
| Radiomics analysis of PET and CT components of PET/CT imaging integrated with clinical parameters: application to prognosis for nasopharyngeal carcinoma W Lv, Q Yuan, Q Wang, J Ma, Q Feng, W Chen, A Rahmim, L Lu Molecular imaging and biology 21, 954-964, 2019 | 90 | 2019 |
| Multi-level multi-modality fusion radiomics: application to PET and CT imaging for prognostication of head and neck cancer W Lv, S Ashrafinia, J Ma, L Lu, A Rahmim IEEE journal of biomedical and health informatics 24 (8), 2268-2277, 2019 | 88 | 2019 |
| Robustness versus disease differentiation when varying parameter settings in radiomics features: application to nasopharyngeal PET/CT W Lv, Q Yuan, Q Wang, J Ma, J Jiang, W Yang, Q Feng, W Chen, ... European radiology 28, 3245-3254, 2018 | 74 | 2018 |
| Subregional radiomics analysis of PET/CT imaging with intratumor partitioning: application to prognosis for nasopharyngeal carcinoma H Xu, W Lv, H Feng, D Du, Q Yuan, Q Wang, Z Dai, W Yang, Q Feng, J Ma, ... Molecular Imaging and Biology 22, 1414-1426, 2020 | 71 | 2020 |
| Machine learning methods for optimal radiomics-based differentiation between recurrence and inflammation: application to nasopharyngeal carcinoma post-therapy PET/CT images D Du, H Feng, W Lv, S Ashrafinia, Q Yuan, Q Wang, W Yang, Q Feng, ... Molecular imaging and biology 22, 730-738, 2020 | 71 | 2020 |
| Integration of PET/CT radiomics and semantic features for differentiation between active pulmonary tuberculosis and lung cancer D Du, J Gu, X Chen, W Lv, Q Feng, A Rahmim, H Wu, L Lu Molecular imaging and biology 23, 287-298, 2021 | 57 | 2021 |
| Prognostic modeling for patients with colorectal liver metastases incorporating FDG PET radiomic features A Rahmim, KP Bak-Fredslund, S Ashrafinia, L Lu, CR Schmidtlein, ... European journal of radiology 113, 101-109, 2019 | 53 | 2019 |
| Multi-view secondary input collaborative deep learning for lung nodule 3D segmentation X Dong, S Xu, Y Liu, A Wang, MI Saripan, L Li, X Zhang, L Lu Cancer imaging 20, 1-13, 2020 | 49 | 2020 |
| Artificial neural network–based prediction of outcome in Parkinson’s disease patients using DaTscan SPECT imaging features J Tang, B Yang, MP Adams, NN Shenkov, IS Klyuzhin, S Fotouhi, ... Molecular imaging and biology 21, 1165-1173, 2019 | 48 | 2019 |
| The effects of volume of interest delineation on MRI-based radiomics analysis: evaluation with two disease groups X Zhang, L Zhong, B Zhang, L Zhang, H Du, L Lu, S Zhang, W Yang, ... Cancer Imaging 19, 1-12, 2019 | 47 | 2019 |
| Dynamic PET image denoising using deep image prior combined with regularization by denoising H Sun, L Peng, H Zhang, Y He, S Cao, L Lu IEEE Access 9, 52378-52392, 2021 | 45 | 2021 |
| Penalized weighted least-squares approach for multienergy computed tomography image reconstruction via structure tensor total variation regularization D Zeng, Y Gao, J Huang, Z Bian, H Zhang, L Lu, J Ma Computerized Medical Imaging and Graphics 53, 19-29, 2016 | 45 | 2016 |
| Direct 4D parametric imaging for linearized models of reversibly binding PET tracers using generalized AB-EM reconstruction A Rahmim, Y Zhou, J Tang, L Lu, V Sossi, DF Wong Physics in Medicine & Biology 57 (3), 733, 2012 | 41 | 2012 |
| 3.5D dynamic PET image reconstruction incorporating kinetics-based clusters L Lu, N Karakatsanis, J Tang, W Chen, A Rahmim Society of Nuclear Medicine Annual Meeting Abstracts 53 (Supplement 1), 318, 2012 | 38 | 2012 |
| Prediction of local recurrence and distant metastasis using radiomics analysis of pretreatment nasopharyngeal [18F] FDG PET/CT images L Peng, X Hong, Q Yuan, L Lu, Q Wang, W Chen Annals of Nuclear Medicine 35, 458-468, 2021 | 37 | 2021 |
| Cerebral perfusion computed tomography deconvolution via structure tensor total variation regularization D Zeng, X Zhang, Z Bian, J Huang, H Zhang, L Lu, W Lyu, J Zhang, ... Medical physics 43 (5), 2091-2107, 2016 | 34 | 2016 |
| Dynamic positron emission tomography image restoration via a kinetics-induced bilateral filter Z Bian, J Huang, J Ma, L Lu, S Niu, D Zeng, Q Feng, W Chen PloS one 9 (2), e89282, 2014 | 34 | 2014 |
Arman RahmimProfessor of Radiology, Physics and Biomedical Engineering, University of British Columbiaubc.ca üzerinde doğrulanmış e-posta adresine sahip
