| Tumor burden analysis on computed tomography by automated liver and tumor segmentation MG Linguraru, WJ Richbourg, J Liu, JM Watt, V Pamulapati, S Wang, ... IEEE transactions on medical imaging 31 (10), 1965-1976, 2012 | 146 | 2012 |
| In vivo imaging of the human retinal pigment epithelial mosaic using adaptive optics enhanced indocyanine green ophthalmoscopy J Tam, J Liu, A Dubra, R Fariss Investigative ophthalmology & visual science 57 (10), 4376-4384, 2016 | 62 | 2016 |
| Noninvasive near infrared autofluorescence imaging of retinal pigment epithelial cells in the human retina using adaptive optics T Liu, HW Jung, J Liu, M Droettboom, J Tam Biomedical optics express 8 (10), 4348-4360, 2017 | 59 | 2017 |
| A cascade 3D U‐Net for dose prediction in radiotherapy S Liu, J Zhang, T Li, H Yan, J Liu Medical physics 48 (9), 5574-5582, 2021 | 47 | 2021 |
| An optical flow approach to tracking colonoscopy video J Liu, KR Subramanian, TS Yoo Computerized Medical Imaging and Graphics 37 (3), 207-223, 2013 | 38 | 2013 |
| Integrating adaptive optics-SLO and OCT for multimodal visualization of the human retinal pigment epithelial mosaic AJ Bower, T Liu, N Aguilera, J Li, J Liu, R Lu, JP Giannini, LA Huryn, ... Biomedical Optics Express 12 (3), 1449-1466, 2021 | 33 | 2021 |
| Automated photoreceptor cell identification on nonconfocal adaptive optics images using multiscale circular voting J Liu, HW Jung, A Dubra, J Tam Investigative ophthalmology & visual science 58 (11), 4477-4489, 2017 | 33 | 2017 |
| Computer-aided detection of exophytic renal lesions on non-contrast CT images J Liu, S Wang, MG Linguraru, J Yao, RM Summers Medical image analysis 19 (1), 15-29, 2015 | 33 | 2015 |
| Predicting voxel-level dose distributions for esophageal radiotherapy using densely connected network with dilated convolutions J Zhang, S Liu, H Yan, T Li, R Mao, J Liu Physics in Medicine & Biology 65 (20), 205013, 2020 | 32 | 2020 |
| A stable optic-flow based method for tracking colonoscopy images J Liu, K Subramanian, T Yoo, R Van Uitert 2008 IEEE Computer Society Conference on Computer Vision and Pattern …, 2008 | 30 | 2008 |
| Longitudinal adaptive optics fluorescence microscopy reveals cellular mosaicism in patients HW Jung, J Liu, T Liu, A George, MG Smelkinson, S Cohen, R Sharma, ... JCI insight 4 (6), 2019 | 27 | 2019 |
| Combining multimodal adaptive optics imaging and angiography improves visualization of human eyes with cellular-level resolution HW Jung, T Liu, J Liu, LA Huryn, J Tam Communications biology 1 (1), 189, 2018 | 22 | 2018 |
| Cone photoreceptor cell segmentation and diameter measurement on adaptive optics images using circularly constrained active contour model J Liu, HW Jung, A Dubra, J Tam Investigative ophthalmology & visual science 59 (11), 4639-4652, 2018 | 22 | 2018 |
| Systems and methods for automated radiation treatment planning with decision support QJ Wu, Y Ge, FF Yin, L Yuan, Y Sheng, T Li, J Liu US Patent App. 15/555,488, 2018 | 22 | 2018 |
| From active shape model to active optical flow model: a shape-based approach to predicting voxel-level dose distributions in spine SBRT J Liu, QJ Wu, JP Kirkpatrick, FF Yin, L Yuan, Y Ge Physics in Medicine & Biology 60 (5), N83, 2015 | 22 | 2015 |
| Computer‐aided detection of renal calculi from noncontrast CT images using TV‐flow and MSER features J Liu, S Wang, EB Turkbey, MG Linguraru, J Yao, RM Summers Medical physics 42 (1), 144-153, 2015 | 22 | 2015 |
| Volume decomposition and hierarchical skeletonization X Zhang, J Liu, Z Li, M Jaeger Proceedings of The 7th ACM SIGGRAPH International Conference on Virtual …, 2008 | 22 | 2008 |
| Active appearance model induced generative adversarial network for controlled data augmentation J Liu, C Shen, T Liu, N Aguilera, J Tam Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 21 | 2019 |
| Utilizing knowledge from prior plans in the evaluation of quality assurance C Stanhope, QJ Wu, L Yuan, J Liu, R Hood, FF Yin, J Adamson Physics in Medicine & Biology 60 (12), 4873, 2015 | 20 | 2015 |
| Tumor sensitive matching flow: A variational method to detecting and segmenting perihepatic and perisplenic ovarian cancer metastases on contrast-enhanced abdominal CT J Liu, S Wang, MG Linguraru, J Yao, RM Summers Medical image analysis 18 (5), 725-739, 2014 | 20 | 2014 |
Ronald M. Summers, MD, PhDNational Institutes of Health Clinical CenterE-mail megerősítve itt: nih.gov
