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Connection

Dimitris Metaxas to Tomography, X-Ray Computed

This is a "connection" page, showing publications Dimitris Metaxas has written about Tomography, X-Ray Computed.
Connection Strength

2.634
  1. Classification of lung cancer subtypes on CT images with synthetic pathological priors. Med Image Anal. 2024 Jul; 95:103199.
    View in: PubMed
    Score: 0.871
  2. 3D cardiac motion reconstruction from CT data and tagged MRI. Annu Int Conf IEEE Eng Med Biol Soc. 2012; 2012:4083-6.
    View in: PubMed
    Score: 0.370
  3. Lesion-specific coronary artery calcium quantification for predicting cardiac event with multiple instance support vector machines. Med Image Comput Comput Assist Interv. 2010; 13(Pt 1):484-92.
    View in: PubMed
    Score: 0.322
  4. WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image. Med Image Anal. 2022 Nov; 82:102642.
    View in: PubMed
    Score: 0.195
  5. Multi-Instance Deep Learning: Discover Discriminative Local Anatomies for Bodypart Recognition. IEEE Trans Med Imaging. 2016 May; 35(5):1332-1343.
    View in: PubMed
    Score: 0.123
  6. Bodypart Recognition Using Multi-stage Deep Learning. Inf Process Med Imaging. 2015; 24:449-61.
    View in: PubMed
    Score: 0.114
  7. A homotopy-based sparse representation for fast and accurate shape prior modeling in liver surgical planning. Med Image Anal. 2015 Jan; 19(1):176-86.
    View in: PubMed
    Score: 0.112
  8. Segmenting the papillary muscles and the trabeculae from high resolution cardiac CT through restoration of topological handles. Inf Process Med Imaging. 2013; 23:184-95.
    View in: PubMed
    Score: 0.099
  9. Using high resolution cardiac CT data to model and visualize patient-specific interactions between trabeculae and blood flow. Med Image Comput Comput Assist Interv. 2011; 14(Pt 1):468-75.
    View in: PubMed
    Score: 0.086
  10. AVDNet: Joint coronary artery and vein segmentation with topological consistency. Med Image Anal. 2024 Jan; 91:102999.
    View in: PubMed
    Score: 0.052
  11. Automatic Lung Cancer Subtypes Classification on CT Images with Self-generated Multi-modality Hybrid Features. Annu Int Conf IEEE Eng Med Biol Soc. 2023 Jul; 2023:1-6.
    View in: PubMed
    Score: 0.051
  12. Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis From Lung CT Scans With Multi-Scale Guided Dense Attention. IEEE Trans Med Imaging. 2022 Mar; 41(3):531-542.
    View in: PubMed
    Score: 0.047
  13. SCPM-Net: An anchor-free 3D lung nodule detection network using sphere representation and center points matching. Med Image Anal. 2022 01; 75:102287.
    View in: PubMed
    Score: 0.046
  14. FocusNetv2: Imbalanced large and small organ segmentation with adversarial shape constraint for head and neck CT images. Med Image Anal. 2021 01; 67:101831.
    View in: PubMed
    Score: 0.042
  15. Neutrophil to lymphocyte ratio as a predictive biomarker for computed tomography scan use in mild traumatic brain injury. Biomark Med. 2020 Aug; 14(12):1085-1090.
    View in: PubMed
    Score: 0.042
  16. Sparse Data-Driven Learning for Effective and Efficient Biomedical Image Segmentation. Annu Rev Biomed Eng. 2020 Jun 04; 22:127-153.
    View in: PubMed
    Score: 0.041
  17. Deformable segmentation via sparse shape representation. Med Image Comput Comput Assist Interv. 2011; 14(Pt 2):451-8.
    View in: PubMed
    Score: 0.022
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.