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Connection

Theresa Thai to Female

This is a "connection" page, showing publications Theresa Thai has written about Female.
Connection Strength

0.117
  1. Developing a novel image marker to predict the clinical outcome of neoadjuvant chemotherapy (NACT) for ovarian cancer patients. Comput Biol Med. 2024 Apr; 172:108240.
    View in: PubMed
    Score: 0.018
  2. Developing a new radiomics-based CT image marker to detect lymph node metastasis among cervical cancer patients. Comput Methods Programs Biomed. 2020 Dec; 197:105759.
    View in: PubMed
    Score: 0.014
  3. Prediction of chemotherapy response in ovarian cancer patients using a new clustered quantitative image marker. Phys Med Biol. 2018 08 06; 63(15):155020.
    View in: PubMed
    Score: 0.012
  4. Classification of Tumor Epithelium and Stroma by Exploiting Image Features Learned by Deep Convolutional Neural Networks. Ann Biomed Eng. 2018 Dec; 46(12):1988-1999.
    View in: PubMed
    Score: 0.012
  5. Uterine Didelphys with Bilateral Cervical Agenesis in a 15-Year-Old Girl. J Pediatr Adolesc Gynecol. 2018 Feb; 31(1):64-66.
    View in: PubMed
    Score: 0.011
  6. Applying Quantitative CT Image Feature Analysis to Predict Response of Ovarian Cancer Patients to Chemotherapy. Acad Radiol. 2017 10; 24(10):1233-1239.
    View in: PubMed
    Score: 0.011
  7. Applying a computer-aided scheme to detect a new radiographic image marker for prediction of chemotherapy outcome. BMC Med Imaging. 2016 08 31; 16(1):52.
    View in: PubMed
    Score: 0.010
  8. Early prediction of clinical benefit of treating ovarian cancer using quantitative CT image feature analysis. Acta Radiol. 2016 Sep; 57(9):1149-55.
    View in: PubMed
    Score: 0.010
  9. A New Approach to Evaluate Drug Treatment Response of Ovarian Cancer Patients Based on Deformable Image Registration. IEEE Trans Med Imaging. 2016 Jan; 35(1):316-25.
    View in: PubMed
    Score: 0.010
  10. Measurements of adiposity as clinical biomarkers for first-line bevacizumab-based chemotherapy in epithelial ovarian cancer. Gynecol Oncol. 2014 Apr; 133(1):11-5.
    View in: PubMed
    Score: 0.009
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.