Lu L - Search Results

1

Improved prediction of outcome in Parkinson's disease using radiomics analysis of longitudinal DAT SPECT images.

Rahmim A, Huang P, Shenkov N, Fotouhi S, Davoodi-Bojd E, Lu L, Mari Z, Soltanian-Zadeh H, Sossi V. Rahmim A, et al. Among authors: lu l. Neuroimage Clin. 2017 Aug 26;16:539-544. doi: 10.1016/j.nicl.2017.08.021. eCollection 2017. Neuroimage Clin. 2017. PMID: 29868437 Free PMC article.

2

Direct 4D parametric imaging for linearized models of reversibly binding PET tracers using generalized AB-EM reconstruction.

Rahmim A, Zhou Y, Tang J, Lu L, Sossi V, Wong DF. Rahmim A, et al. Among authors: lu l. Phys Med Biol. 2012 Feb 7;57(3):733-55. doi: 10.1088/0031-9155/57/3/733. Epub 2012 Jan 18. Phys Med Biol. 2012. PMID: 22252120 Free PMC article.

3

3.5D dynamic PET image reconstruction incorporating kinetics-based clusters.

Lu L, Karakatsanis NA, Tang J, Chen W, Rahmim A. Lu L, et al. Phys Med Biol. 2012 Aug 7;57(15):5035-55. doi: 10.1088/0031-9155/57/15/5035. Phys Med Biol. 2012. PMID: 22805318 Free PMC article.

4

Anatomy-guided brain PET imaging incorporating a joint prior model.

Lu L, Ma J, Feng Q, Chen W, Rahmim A. Lu L, et al. Phys Med Biol. 2015 Mar 21;60(6):2145-66. doi: 10.1088/0031-9155/60/6/2145. Epub 2015 Feb 16. Phys Med Biol. 2015. PMID: 25683483 Free PMC article.

5

Robustness of Radiomic Features in [¹¹C]Choline and [¹⁸F]FDG PET/CT Imaging of Nasopharyngeal Carcinoma: Impact of Segmentation and Discretization.

Lu L, Lv W, Jiang J, Ma J, Feng Q, Rahmim A, Chen W. Lu L, et al. Mol Imaging Biol. 2016 Dec;18(6):935-945. doi: 10.1007/s11307-016-0973-6. Mol Imaging Biol. 2016. PMID: 27324369 Clinical Trial.

6

Enhancement of dynamic myocardial perfusion PET images based on low-rank plus sparse decomposition.

Lu L, Ma X, Mohy-Ud-Din H, Ma J, Feng Q, Rahmim A, Chen W. Lu L, et al. Comput Methods Programs Biomed. 2018 Feb;154:57-69. doi: 10.1016/j.cmpb.2017.10.020. Epub 2017 Oct 31. Comput Methods Programs Biomed. 2018. PMID: 29249347

7

Robustness versus disease differentiation when varying parameter settings in radiomics features: application to nasopharyngeal PET/CT.

Lv W, Yuan Q, Wang Q, Ma J, Jiang J, Yang W, Feng Q, Chen W, Rahmim A, Lu L. Lv W, et al. Among authors: lu l. Eur Radiol. 2018 Aug;28(8):3245-3254. doi: 10.1007/s00330-018-5343-0. Epub 2018 Mar 8. Eur Radiol. 2018. PMID: 29520429

8

Radiomics Analysis of PET and CT Components of PET/CT Imaging Integrated with Clinical Parameters: Application to Prognosis for Nasopharyngeal Carcinoma.

Lv W, Yuan Q, Wang Q, Ma J, Feng Q, Chen W, Rahmim A, Lu L. Lv W, et al. Among authors: lu l. Mol Imaging Biol. 2019 Oct;21(5):954-964. doi: 10.1007/s11307-018-01304-3. Mol Imaging Biol. 2019. PMID: 30671740

9

Artificial Neural Network-Based Prediction of Outcome in Parkinson's Disease Patients Using DaTscan SPECT Imaging Features.

Tang J, Yang B, Adams MP, Shenkov NN, Klyuzhin IS, Fotouhi S, Davoodi-Bojd E, Lu L, Soltanian-Zadeh H, Sossi V, Rahmim A. Tang J, et al. Among authors: lu l. Mol Imaging Biol. 2019 Dec;21(6):1165-1173. doi: 10.1007/s11307-019-01334-5. Mol Imaging Biol. 2019. PMID: 30847821

10

Prognostic modeling for patients with colorectal liver metastases incorporating FDG PET radiomic features.

Rahmim A, Bak-Fredslund KP, Ashrafinia S, Lu L, Schmidtlein CR, Subramaniam RM, Morsing A, Keiding S, Horsager J, Munk OL. Rahmim A, et al. Among authors: lu l. Eur J Radiol. 2019 Apr;113:101-109. doi: 10.1016/j.ejrad.2019.02.006. Epub 2019 Feb 8. Eur J Radiol. 2019. PMID: 30927933 Free PMC article.

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