BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

195 related articles for article (PubMed ID: 31048199)

  • 1. Direct automated quantitative measurement of spine by cascade amplifier regression network with manifold regularization.
    Pang S; Su Z; Leung S; Nachum IB; Chen B; Feng Q; Li S
    Med Image Anal; 2019 Jul; 55():103-115. PubMed ID: 31048199
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Automated measurement of spine indices on axial MR images for lumbar spinal stenosis diagnosis using segmentation-guided regression network.
    Pang C; Su Z; Lin L; Lin G; He J; Lu H; Feng Q; Pang S
    Med Phys; 2023 Jan; 50(1):104-116. PubMed ID: 36029008
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Multiple Axial Spine Indices Estimation via Dense Enhancing Network With Cross-Space Distance-Preserving Regularization.
    Lin L; Tao X; Pang S; Su Z; Lu H; Li S; Feng Q; Chen B
    IEEE J Biomed Health Inform; 2020 Nov; 24(11):3248-3257. PubMed ID: 32142463
    [TBL] [Abstract][Full Text] [Related]  

  • 4. SpineParseNet: Spine Parsing for Volumetric MR Image by a Two-Stage Segmentation Framework With Semantic Image Representation.
    Pang S; Pang C; Zhao L; Chen Y; Su Z; Zhou Y; Huang M; Yang W; Lu H; Feng Q
    IEEE Trans Med Imaging; 2021 Jan; 40(1):262-273. PubMed ID: 32956047
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Hippocampus Segmentation Based on Iterative Local Linear Mapping With Representative and Local Structure-Preserved Feature Embedding.
    Pang S; Lu Z; Jiang J; Zhao L; Lin L; Li X; Lian T; Huang M; Yang W; Feng Q
    IEEE Trans Med Imaging; 2019 Oct; 38(10):2271-2280. PubMed ID: 30908202
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Nonlinear embedding towards articulated spine shape inference using higher-order MRFs.
    Kadoury S; Paragios N
    Med Image Comput Comput Assist Interv; 2010; 13(Pt 3):579-86. PubMed ID: 20879447
    [TBL] [Abstract][Full Text] [Related]  

  • 7. DGMSNet: Spine segmentation for MR image by a detection-guided mixed-supervised segmentation network.
    Pang S; Pang C; Su Z; Lin L; Zhao L; Chen Y; Zhou Y; Lu H; Feng Q
    Med Image Anal; 2022 Jan; 75():102261. PubMed ID: 34794095
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Spine detection in CT and MR using iterated marginal space learning.
    Michael Kelm B; Wels M; Kevin Zhou S; Seifert S; Suehling M; Zheng Y; Comaniciu D
    Med Image Anal; 2013 Dec; 17(8):1283-92. PubMed ID: 23265800
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Automated detection of spinal centrelines, vertebral bodies and intervertebral discs in CT and MR images of lumbar spine.
    Stern D; Likar B; Pernus F; Vrtovec T
    Phys Med Biol; 2010 Jan; 55(1):247-64. PubMed ID: 20009200
    [TBL] [Abstract][Full Text] [Related]  

  • 10. DLPNet: A deep manifold network for feature extraction of hyperspectral imagery.
    Li Z; Huang H; Duan Y; Shi G
    Neural Netw; 2020 Sep; 129():7-18. PubMed ID: 32485560
    [TBL] [Abstract][Full Text] [Related]  

  • 11. SpineRegNet: Spine Registration Network for volumetric MR and CT image by the joint estimation of an affine-elastic deformation field.
    Zhao L; Pang S; Chen Y; Zhu X; Jiang Z; Su Z; Lu H; Zhou Y; Feng Q
    Med Image Anal; 2023 May; 86():102786. PubMed ID: 36878160
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Semiautomatic computer-aided classification of degenerative lumbar spine disease in magnetic resonance imaging.
    Ruiz-España S; Arana E; Moratal D
    Comput Biol Med; 2015 Jul; 62():196-205. PubMed ID: 25957744
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Manifold-based feature point matching for multi-modal image registration.
    Hu L; Wang M; Song Z
    Int J Med Robot; 2013 Mar; 9(1):e10-8. PubMed ID: 23175165
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Predicting CT Image From MRI Data Through Feature Matching With Learned Nonlinear Local Descriptors.
    Yang W; Zhong L; Chen Y; Lin L; Lu Z; Liu S; Wu Y; Feng Q; Chen W
    IEEE Trans Med Imaging; 2018 Apr; 37(4):977-987. PubMed ID: 29610076
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Computer aided diagnosis of degenerative intervertebral disc diseases from lumbar MR images.
    Oktay AB; Albayrak NB; Akgul YS
    Comput Med Imaging Graph; 2014 Oct; 38(7):613-9. PubMed ID: 24972858
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Prediction of CT Substitutes from MR Images Based on Local Diffeomorphic Mapping for Brain PET Attenuation Correction.
    Wu Y; Yang W; Lu L; Lu Z; Zhong L; Huang M; Feng Y; Feng Q; Chen W
    J Nucl Med; 2016 Oct; 57(10):1635-1641. PubMed ID: 27230932
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Direct Multitype Cardiac Indices Estimation via Joint Representation and Regression Learning.
    Xue W; Islam A; Bhaduri M; Li S
    IEEE Trans Med Imaging; 2017 Oct; 36(10):2057-2067. PubMed ID: 28574348
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Postoperative glioma segmentation in CT image using deep feature fusion model guided by multi-sequence MRIs.
    Tang F; Liang S; Zhong T; Huang X; Deng X; Zhang Y; Zhou L
    Eur Radiol; 2020 Feb; 30(2):823-832. PubMed ID: 31650265
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Comparison of T1 and T2 weighted images of the lumbar spine.
    Moffit B; Reicher M; Lufkin R; Bentson J
    Comput Med Imaging Graph; 1988; 12(5):271-6. PubMed ID: 3179982
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Automatic Vertebrae Localization and Identification by Combining Deep SSAE Contextual Features and Structured Regression Forest.
    Wang X; Zhai S; Niu Y
    J Digit Imaging; 2019 Apr; 32(2):336-348. PubMed ID: 30631979
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.