These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
188 related articles for article (PubMed ID: 25036769)
1. On combining image-based and ontological semantic dissimilarities for medical image retrieval applications. Kurtz C; Depeursinge A; Napel S; Beaulieu CF; Rubin DL Med Image Anal; 2014 Oct; 18(7):1082-100. PubMed ID: 25036769 [TBL] [Abstract][Full Text] [Related]
2. A hierarchical knowledge-based approach for retrieving similar medical images described with semantic annotations. Kurtz C; Beaulieu CF; Napel S; Rubin DL J Biomed Inform; 2014 Jun; 49():227-44. PubMed ID: 24632078 [TBL] [Abstract][Full Text] [Related]
3. Adapting content-based image retrieval techniques for the semantic annotation of medical images. Kumar A; Dyer S; Kim J; Li C; Leong PH; Fulham M; Feng D Comput Med Imaging Graph; 2016 Apr; 49():37-45. PubMed ID: 26890880 [TBL] [Abstract][Full Text] [Related]
4. Relevance feedback for enhancing content based image retrieval and automatic prediction of semantic image features: Application to bone tumor radiographs. Banerjee I; Kurtz C; Devorah AE; Do B; Rubin DL; Beaulieu CF J Biomed Inform; 2018 Aug; 84():123-135. PubMed ID: 29981490 [TBL] [Abstract][Full Text] [Related]
5. A fully automatic end-to-end method for content-based image retrieval of CT scans with similar liver lesion annotations. Spanier AB; Caplan N; Sosna J; Acar B; Joskowicz L Int J Comput Assist Radiol Surg; 2018 Jan; 13(1):165-174. PubMed ID: 29147954 [TBL] [Abstract][Full Text] [Related]
6. A boosting framework for visuality-preserving distance metric learning and its application to medical image retrieval. Yang L; Jin R; Mummert L; Sukthankar R; Goode A; Zheng B; Hoi SC; Satyanarayanan M IEEE Trans Pattern Anal Mach Intell; 2010 Jan; 32(1):30-44. PubMed ID: 19926897 [TBL] [Abstract][Full Text] [Related]
7. Automated retrieval of CT images of liver lesions on the basis of image similarity: method and preliminary results. Napel SA; Beaulieu CF; Rodriguez C; Cui J; Xu J; Gupta A; Korenblum D; Greenspan H; Ma Y; Rubin DL Radiology; 2010 Jul; 256(1):243-52. PubMed ID: 20505065 [TBL] [Abstract][Full Text] [Related]
8. A comprehensive descriptor of shape: method and application to content-based retrieval of similar appearing lesions in medical images. Xu J; Faruque J; Beaulieu CF; Rubin D; Napel S J Digit Imaging; 2012 Feb; 25(1):121-8. PubMed ID: 21547518 [TBL] [Abstract][Full Text] [Related]
9. Dynamic distance learning for joint assessment of visual and semantic similarities within the framework of medical image retrieval. Baâzaoui A; Abderrahim M; Barhoumi W Comput Biol Med; 2020 Jul; 122():103833. PubMed ID: 32479347 [TBL] [Abstract][Full Text] [Related]
10. Three-dimensional spatiotemporal features for fast content-based retrieval of focal liver lesions. Roy S; Chi Y; Liu J; Venkatesh SK; Brown MS IEEE Trans Biomed Eng; 2014 Nov; 61(11):2768-78. PubMed ID: 24919041 [TBL] [Abstract][Full Text] [Related]
11. Quantifying the margin sharpness of lesions on radiological images for content-based image retrieval. Xu J; Napel S; Greenspan H; Beaulieu CF; Agrawal N; Rubin D Med Phys; 2012 Sep; 39(9):5405-18. PubMed ID: 22957608 [TBL] [Abstract][Full Text] [Related]
12. Learning semantic and visual similarity for endomicroscopy video retrieval. Andre B; Vercauteren T; Buchner AM; Wallace MB; Ayache N IEEE Trans Med Imaging; 2012 Jun; 31(6):1276-88. PubMed ID: 22353403 [TBL] [Abstract][Full Text] [Related]
13. Managing biomedical image metadata for search and retrieval of similar images. Korenblum D; Rubin D; Napel S; Rodriguez C; Beaulieu C J Digit Imaging; 2011 Aug; 24(4):739-48. PubMed ID: 20844917 [TBL] [Abstract][Full Text] [Related]
14. Computerized Prediction of Radiological Observations Based on Quantitative Feature Analysis: Initial Experience in Liver Lesions. Banerjee I; Beaulieu CF; Rubin DL J Digit Imaging; 2017 Aug; 30(4):506-518. PubMed ID: 28639186 [TBL] [Abstract][Full Text] [Related]
15. Predicting visual semantic descriptive terms from radiological image data: preliminary results with liver lesions in CT. Depeursinge A; Kurtz C; Beaulieu C; Napel S; Rubin D IEEE Trans Med Imaging; 2014 Aug; 33(8):1669-76. PubMed ID: 24808406 [TBL] [Abstract][Full Text] [Related]
16. A new method of content based medical image retrieval and its applications to CT imaging sign retrieval. Ma L; Liu X; Gao Y; Zhao Y; Zhao X; Zhou C J Biomed Inform; 2017 Feb; 66():148-158. PubMed ID: 28069515 [TBL] [Abstract][Full Text] [Related]
17. Multiple semantic X-ray medical image retrieval using efficient feature vector extracted by FPN. Zhi L; Duan S; Zhang S J Xray Sci Technol; 2024; 32(5):1297-1313. PubMed ID: 39031428 [TBL] [Abstract][Full Text] [Related]
18. A new method for the automatic retrieval of medical cases based on the RadLex ontology. Spanier AB; Cohen D; Joskowicz L Int J Comput Assist Radiol Surg; 2017 Mar; 12(3):471-484. PubMed ID: 27804009 [TBL] [Abstract][Full Text] [Related]
19. Generate Structured Radiology Report from CT Images Using Image Annotation Techniques: Preliminary Results with Liver CT. Loveymi S; Dezfoulian MH; Mansoorizadeh M J Digit Imaging; 2020 Apr; 33(2):375-390. PubMed ID: 31728804 [TBL] [Abstract][Full Text] [Related]
20. Automatic medical image annotation and keyword-based image retrieval using relevance feedback. Ko BC; Lee J; Nam JY J Digit Imaging; 2012 Aug; 25(4):454-65. PubMed ID: 22193754 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]