351 related articles for article (PubMed ID: 26685226)
1. Deformable MR Prostate Segmentation via Deep Feature Learning and Sparse Patch Matching.
Guo Y; Gao Y; Shen D
IEEE Trans Med Imaging; 2016 Apr; 35(4):1077-89. PubMed ID: 26685226
[TBL] [Abstract][Full Text] [Related]
2. Deformable segmentation of 3D MR prostate images via distributed discriminative dictionary and ensemble learning.
Guo Y; Gao Y; Shao Y; Price T; Oto A; Shen D
Med Phys; 2014 Jul; 41(7):072303. PubMed ID: 24989402
[TBL] [Abstract][Full Text] [Related]
3. Segmenting hippocampus from infant brains by sparse patch matching with deep-learned features.
Guo Y; Wu G; Commander LA; Szary S; Jewells V; Lin W; Shent D
Med Image Comput Comput Assist Interv; 2014; 17(Pt 2):308-15. PubMed ID: 25485393
[TBL] [Abstract][Full Text] [Related]
4. Automatic prostate MR image segmentation with sparse label propagation and domain-specific manifold regularization.
Liao S; Gao Y; Shi Y; Yousuf A; Karademir I; Oto A; Shen D
Inf Process Med Imaging; 2013; 23():511-23. PubMed ID: 24683995
[TBL] [Abstract][Full Text] [Related]
5. Semi-automatic segmentation of prostate in CT images via coupled feature representation and spatial-constrained transductive lasso.
Shi Y; Gao Y; Liao S; Zhang D; Gao Y; Shen D
IEEE Trans Pattern Anal Mach Intell; 2015 Nov; 37(11):2286-303. PubMed ID: 26440268
[TBL] [Abstract][Full Text] [Related]
6. Locally-constrained boundary regression for segmentation of prostate and rectum in the planning CT images.
Shao Y; Gao Y; Wang Q; Yang X; Shen D
Med Image Anal; 2015 Dec; 26(1):345-56. PubMed ID: 26439938
[TBL] [Abstract][Full Text] [Related]
7. Graph-convolutional-network-based interactive prostate segmentation in MR images.
Tian Z; Li X; Zheng Y; Chen Z; Shi Z; Liu L; Fei B
Med Phys; 2020 Sep; 47(9):4164-4176. PubMed ID: 32533855
[TBL] [Abstract][Full Text] [Related]
8. Automated segmentation of the prostate in 3D MR images using a probabilistic atlas and a spatially constrained deformable model.
Martin S; Troccaz J; Daanenc V
Med Phys; 2010 Apr; 37(4):1579-90. PubMed ID: 20443479
[TBL] [Abstract][Full Text] [Related]
9. Automatic prostate segmentation on MR images with deep network and graph model.
Ke Yan ; Changyang Li ; Xiuying Wang ; Ang Li ; Yuchen Yuan ; Dagan Feng ; Khadra M; Jinman Kim
Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():635-638. PubMed ID: 28268408
[TBL] [Abstract][Full Text] [Related]
10. Prostate segmentation by sparse representation based classification.
Gao Y; Liao S; Shen D
Med Phys; 2012 Oct; 39(10):6372-87. PubMed ID: 23039673
[TBL] [Abstract][Full Text] [Related]
11. A propagation-DNN: Deep combination learning of multi-level features for MR prostate segmentation.
Yan K; Wang X; Kim J; Khadra M; Fulham M; Feng D
Comput Methods Programs Biomed; 2019 Mar; 170():11-21. PubMed ID: 30712600
[TBL] [Abstract][Full Text] [Related]
12. Ischemic stroke lesion segmentation using stacked sparse autoencoder.
Praveen GB; Agrawal A; Sundaram P; Sardesai S
Comput Biol Med; 2018 Aug; 99():38-52. PubMed ID: 29883752
[TBL] [Abstract][Full Text] [Related]
13. A multiresolution prostate representation for automatic segmentation in magnetic resonance images.
Alvarez C; Martínez F; Romero E
Med Phys; 2017 Apr; 44(4):1312-1323. PubMed ID: 28134979
[TBL] [Abstract][Full Text] [Related]
14. MR PROSTATE SEGMENTATION VIA DISTRIBUTED DISCRIMINATIVE DICTIONARY (
Guo Y; Zhan Y; Gao Y; Jiang J; Shen D
Proc IEEE Int Symp Biomed Imaging; 2013; 2013():868-871. PubMed ID: 25035792
[TBL] [Abstract][Full Text] [Related]
15. Accurate Segmentation of CT Male Pelvic Organs via Regression-Based Deformable Models and Multi-Task Random Forests.
Gao Y; Shao Y; Lian J; Wang AZ; Chen RC; Shen D
IEEE Trans Med Imaging; 2016 Jun; 35(6):1532-43. PubMed ID: 26800531
[TBL] [Abstract][Full Text] [Related]
16. Narrow band deformable registration of prostate magnetic resonance imaging, magnetic resonance spectroscopic imaging, and computed tomography studies.
Schreibmann E; Xing L
Int J Radiat Oncol Biol Phys; 2005 Jun; 62(2):595-605. PubMed ID: 15890605
[TBL] [Abstract][Full Text] [Related]
17. Automatic segmentation of the prostate on CT images using deep learning and multi-atlas fusion.
Ma L; Guo R; Zhang G; Tade F; Schuster DM; Nieh P; Master V; Fei B
Proc SPIE Int Soc Opt Eng; 2017 Feb; 10133():. PubMed ID: 30220767
[TBL] [Abstract][Full Text] [Related]
18. Automated geographic atrophy segmentation for SD-OCT images based on two-stage learning model.
Xu R; Niu S; Chen Q; Ji Z; Rubin D; Chen Y
Comput Biol Med; 2019 Feb; 105():102-111. PubMed ID: 30605812
[TBL] [Abstract][Full Text] [Related]
19. Boundary-Weighted Domain Adaptive Neural Network for Prostate MR Image Segmentation.
Zhu Q; Du B; Yan P
IEEE Trans Med Imaging; 2020 Mar; 39(3):753-763. PubMed ID: 31425022
[TBL] [Abstract][Full Text] [Related]
20. Hierarchical lung field segmentation with joint shape and appearance sparse learning.
Shao Y; Gao Y; Guo Y; Shi Y; Yang X; Shen D
IEEE Trans Med Imaging; 2014 Sep; 33(9):1761-80. PubMed ID: 25181734
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]