Bi L - Search Results

1

Prediction of 5-year progression-free survival in advanced nasopharyngeal carcinoma with pretreatment PET/CT using multi-modality deep learning-based radiomics.

Gu B, Meng M, Bi L, Kim J, Feng DD, Song S. Gu B, et al. Among authors: bi l. Front Oncol. 2022 Jul 29;12:899351. doi: 10.3389/fonc.2022.899351. eCollection 2022. Front Oncol. 2022. PMID: 35965589 Free PMC article.

2

Automated and robust PERCIST-based thresholding framework for whole body PET-CT studies.

Bi L, Kim J, Wen L, Feng DD. Bi L, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:5335-8. doi: 10.1109/EMBC.2012.6347199. Annu Int Conf IEEE Eng Med Biol Soc. 2012. PMID: 23367134

3

Designing user interfaces to enhance human interpretation of medical content-based image retrieval: application to PET-CT images.

Kumar A, Kim J, Bi L, Fulham M, Feng D. Kumar A, et al. Among authors: bi l. Int J Comput Assist Radiol Surg. 2013 Nov;8(6):1003-14. doi: 10.1007/s11548-013-0896-5. Epub 2013 May 7. Int J Comput Assist Radiol Surg. 2013. PMID: 23649729

4

Data processing and presentation for a personalised, image-driven medical graphical avatar.

de Ridder M, Bi L, Constantinescu L, Kim J, Feng DD. de Ridder M, et al. Among authors: bi l. Annu Int Conf IEEE Eng Med Biol Soc. 2013;2013:4183-6. doi: 10.1109/EMBC.2013.6610467. Annu Int Conf IEEE Eng Med Biol Soc. 2013. PMID: 24110654

5

Cellular automata and anisotropic diffusion filter based interactive tumor segmentation for positron emission tomography.

Bi L, Kim J, Wen L, Kumar A, Fulham M, Feng DD. Bi L, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2013;2013:5453-6. doi: 10.1109/EMBC.2013.6610783. Annu Int Conf IEEE Eng Med Biol Soc. 2013. PMID: 24110970

6

Multi-stage thresholded region classification for whole-body PET-CT lymphoma studies.

Bi L, Kim J, Feng D, Fulham M. Bi L, et al. Med Image Comput Comput Assist Interv. 2014;17(Pt 1):569-76. doi: 10.1007/978-3-319-10404-1_71. Med Image Comput Comput Assist Interv. 2014. PMID: 25333164

7

Automatic detection and classification of regions of FDG uptake in whole-body PET-CT lymphoma studies.

Bi L, Kim J, Kumar A, Wen L, Feng D, Fulham M. Bi L, et al. Comput Med Imaging Graph. 2017 Sep;60:3-10. doi: 10.1016/j.compmedimag.2016.11.008. Epub 2016 Dec 2. Comput Med Imaging Graph. 2017. PMID: 27955798

8

Saliency-Based Lesion Segmentation Via Background Detection in Dermoscopic Images.

Ahn E, Kim J, Bi L, Kumar A, Li C, Fulham M, Feng DD. Ahn E, et al. Among authors: bi l. IEEE J Biomed Health Inform. 2017 Nov;21(6):1685-1693. doi: 10.1109/JBHI.2017.2653179. Epub 2017 Jan 16. IEEE J Biomed Health Inform. 2017. PMID: 28092585

9

A direct volume rendering visualization approach for serial PET-CT scans that preserves anatomical consistency.

Jung Y, Kim J, Bi L, Kumar A, Feng DD, Fulham M. Jung Y, et al. Among authors: bi l. Int J Comput Assist Radiol Surg. 2019 May;14(5):733-744. doi: 10.1007/s11548-019-01916-2. Epub 2019 Jan 19. Int J Comput Assist Radiol Surg. 2019. PMID: 30661169

10

Robust deep learning method for choroidal vessel segmentation on swept source optical coherence tomography images.

Liu X, Bi L, Xu Y, Feng D, Kim J, Xu X. Liu X, et al. Among authors: bi l. Biomed Opt Express. 2019 Mar 5;10(4):1601-1612. doi: 10.1364/BOE.10.001601. eCollection 2019 Apr 1. Biomed Opt Express. 2019. PMID: 31061759 Free PMC article.

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