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Connection

Dimitris Metaxas to Humans

This is a "connection" page, showing publications Dimitris Metaxas has written about Humans.
Connection Strength

1.195
  1. Classification of lung cancer subtypes on CT images with synthetic pathological priors. Med Image Anal. 2024 Jul; 95:103199.
    View in: PubMed
    Score: 0.090
  2. On the challenges and perspectives of foundation models for medical image analysis. Med Image Anal. 2024 Jan; 91:102996.
    View in: PubMed
    Score: 0.086
  3. Mining multi-center heterogeneous medical data with distributed synthetic learning. Nat Commun. 2023 09 07; 14(1):5510.
    View in: PubMed
    Score: 0.086
  4. Dynamic MRI reconstruction with end-to-end motion-guided network. Med Image Anal. 2021 02; 68:101901.
    View in: PubMed
    Score: 0.071
  5. Scalable histopathological image analysis via supervised hashing with multiple features. Med Image Anal. 2016 12; 34:3-12.
    View in: PubMed
    Score: 0.053
  6. Large-Scale medical image analytics: Recent methodologies, applications and Future directions. Med Image Anal. 2016 10; 33:98-101.
    View in: PubMed
    Score: 0.052
  7. Atlas-based liver segmentation and hepatic fat-fraction assessment for clinical trials. Comput Med Imaging Graph. 2015 Apr; 41:80-92.
    View in: PubMed
    Score: 0.045
  8. Deformable segmentation via sparse representation and dictionary learning. Med Image Anal. 2012 Oct; 16(7):1385-96.
    View in: PubMed
    Score: 0.040
  9. Simplified labeling process for medical image segmentation. Med Image Comput Comput Assist Interv. 2012; 15(Pt 2):387-94.
    View in: PubMed
    Score: 0.038
  10. Shape prior modeling using sparse representation and online dictionary learning. Med Image Comput Comput Assist Interv. 2012; 15(Pt 3):435-42.
    View in: PubMed
    Score: 0.038
  11. Unsupervised image categorization by hypergraph partition. IEEE Trans Pattern Anal Mach Intell. 2011 Jun; 33(6):1266-73.
    View in: PubMed
    Score: 0.037
  12. A component-based framework for generalized face alignment. IEEE Trans Syst Man Cybern B Cybern. 2011 Feb; 41(1):287-98.
    View in: PubMed
    Score: 0.035
  13. Efficient MR image reconstruction for compressed MR imaging. Med Image Comput Comput Assist Interv. 2010; 13(Pt 1):135-42.
    View in: PubMed
    Score: 0.033
  14. 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: 0.033
  15. Shape registration in implicit spaces using information theory and free form deformations. IEEE Trans Pattern Anal Mach Intell. 2006 Aug; 28(8):1303-18.
    View in: PubMed
    Score: 0.026
  16. A hybrid framework for 3D medical image segmentation. Med Image Anal. 2005 Dec; 9(6):547-65.
    View in: PubMed
    Score: 0.025
  17. The state-of-the-art in cardiac MRI reconstruction: Results of the CMRxRecon challenge in MICCAI 2023. Med Image Anal. 2025 Apr; 101:103485.
    View in: PubMed
    Score: 0.024
  18. AVDNet: Joint coronary artery and vein segmentation with topological consistency. Med Image Anal. 2024 Jan; 91:102999.
    View in: PubMed
    Score: 0.022
  19. CDDSA: Contrastive domain disentanglement and style augmentation for generalizable medical image segmentation. Med Image Anal. 2023 10; 89:102904.
    View in: PubMed
    Score: 0.021
  20. A Large-scale Synthetic Pathological Dataset for Deep Learning-enabled Segmentation of Breast Cancer. Sci Data. 2023 04 21; 10(1):231.
    View in: PubMed
    Score: 0.021
  21. WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image. Med Image Anal. 2022 11; 82:102642.
    View in: PubMed
    Score: 0.020
  22. Semi-supervised medical image segmentation via uncertainty rectified pyramid consistency. Med Image Anal. 2022 08; 80:102517.
    View in: PubMed
    Score: 0.020
  23. DigestPath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system. Med Image Anal. 2022 08; 80:102485.
    View in: PubMed
    Score: 0.020
  24. 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: 0.019
  25. Training of computational algorithms to predict NAFLD activity score and fibrosis stage from liver histopathology slides. Comput Methods Programs Biomed. 2021 Aug; 207:106153.
    View in: PubMed
    Score: 0.018
  26. Surgical planning of pelvic tumor using multi-view CNN with relation-context representation learning. Med Image Anal. 2021 04; 69:101954.
    View in: PubMed
    Score: 0.018
  27. Greedy auto-augmentation for n-shot learning using deep neural networks. Neural Netw. 2021 Mar; 135:68-77.
    View in: PubMed
    Score: 0.018
  28. 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: 0.018
  29. Sparse Data-Driven Learning for Effective and Efficient Biomedical Image Segmentation. Annu Rev Biomed Eng. 2020 06 04; 22:127-153.
    View in: PubMed
    Score: 0.017
  30. A computer vision based method for 3D posture estimation of symmetrical lifting. J Biomech. 2018 03 01; 69:40-46.
    View in: PubMed
    Score: 0.015
  31. Interactive Exploration for Continuously Expanding Neuron Databases. Methods. 2017 02 15; 115:100-109.
    View in: PubMed
    Score: 0.014
  32. Using a marker-less method for estimating L5/S1 moments during symmetrical lifting. Appl Ergon. 2017 Nov; 65:541-550.
    View in: PubMed
    Score: 0.014
  33. Sparsity techniques in medical imaging. Comput Med Imaging Graph. 2015 Dec; 46 Pt 1:1.
    View in: PubMed
    Score: 0.012
  34. 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: 0.012
  35. Meshless deformable models for 3D cardiac motion and strain analysis from tagged MRI. Magn Reson Imaging. 2015 Jan; 33(1):146-60.
    View in: PubMed
    Score: 0.011
  36. Collaborative multi organ segmentation by integrating deformable and graphical models. Med Image Comput Comput Assist Interv. 2013; 16(Pt 2):157-64.
    View in: PubMed
    Score: 0.010
  37. Identifying regional cardiac abnormalities from myocardial strains using nontracking-based strain estimation and spatio-temporal tensor analysis. IEEE Trans Med Imaging. 2011 Dec; 30(12):2017-29.
    View in: PubMed
    Score: 0.009
  38. 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: 0.009
  39. LV motion and strain computation from tMRI based on meshless deformable models. Med Image Comput Comput Assist Interv. 2008; 11(Pt 1):636-44.
    View in: PubMed
    Score: 0.007
  40. Identifying regional cardiac abnormalities from myocardial strains using spatio-temporal tensor analysis. Med Image Comput Comput Assist Interv. 2008; 11(Pt 1):789-97.
    View in: PubMed
    Score: 0.007
  41. Tag separation in cardiac tagged MRI. Med Image Comput Comput Assist Interv. 2008; 11(Pt 2):289-97.
    View in: PubMed
    Score: 0.007
  42. Ultrasound myocardial elastography and registered 3D tagged MRI: quantitative strain comparison. Med Image Comput Comput Assist Interv. 2007; 10(Pt 1):800-8.
    View in: PubMed
    Score: 0.007
  43. Boosting and nonparametric based tracking of tagged MRI cardiac boundaries. Med Image Comput Comput Assist Interv. 2006; 9(Pt 1):636-44.
    View in: PubMed
    Score: 0.006
  44. Extraction and tracking of MRI tagging sheets using a 3D Gabor filter bank. Conf Proc IEEE Eng Med Biol Soc. 2006; 2006:711-4.
    View in: PubMed
    Score: 0.006
  45. Efficient learning by combining confidence-rated classifiers to incorporate unlabeled medical data. Med Image Comput Comput Assist Interv. 2005; 8(Pt 1):745-52.
    View in: PubMed
    Score: 0.006
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.