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Connection

Maryellen L. Giger to Middle Aged

This is a "connection" page, showing publications Maryellen L. Giger has written about Middle Aged.
Connection Strength

0.850
  1. Machine Learning for Early Detection of Hypoxic-Ischemic Brain Injury After Cardiac Arrest. Neurocrit Care. 2022 06; 36(3):974-982.
    View in: PubMed
    Score: 0.055
  2. A deep learning methodology for improved breast cancer diagnosis using multiparametric MRI. Sci Rep. 2020 06 29; 10(1):10536.
    View in: PubMed
    Score: 0.050
  3. Independent validation of machine learning in diagnosing breast Cancer on magnetic resonance imaging within a single institution. Cancer Imaging. 2019 Sep 18; 19(1):64.
    View in: PubMed
    Score: 0.047
  4. Radiomics robustness assessment and classification evaluation: A two-stage method demonstrated on multivendor FFDM. Med Phys. 2019 May; 46(5):2145-2156.
    View in: PubMed
    Score: 0.045
  5. Digital Mammography in Breast Cancer: Additive Value of Radiomics of Breast Parenchyma. Radiology. 2019 04; 291(1):15-20.
    View in: PubMed
    Score: 0.045
  6. Transfer Learning From Convolutional Neural Networks for Computer-Aided Diagnosis: A Comparison of Digital Breast Tomosynthesis and Full-Field Digital Mammography. Acad Radiol. 2019 06; 26(6):735-743.
    View in: PubMed
    Score: 0.044
  7. Additive Benefit of Radiomics Over Size Alone in the Distinction Between Benign Lesions and Luminal A Cancers on a Large Clinical Breast MRI Dataset. Acad Radiol. 2019 02; 26(2):202-209.
    View in: PubMed
    Score: 0.043
  8. Most-enhancing tumor volume by MRI radiomics predicts recurrence-free survival "early on" in neoadjuvant treatment of breast cancer. Cancer Imaging. 2018 Apr 13; 18(1):12.
    View in: PubMed
    Score: 0.043
  9. MR Imaging Radiomics Signatures for Predicting the Risk of Breast Cancer Recurrence as Given by Research Versions of MammaPrint, Oncotype DX, and PAM50 Gene Assays. Radiology. 2016 Nov; 281(2):382-391.
    View in: PubMed
    Score: 0.037
  10. Automated Breast Ultrasound in Breast Cancer Screening of Women With Dense Breasts: Reader Study of Mammography-Negative and Mammography-Positive Cancers. AJR Am J Roentgenol. 2016 Jun; 206(6):1341-50.
    View in: PubMed
    Score: 0.037
  11. Using computer-extracted image phenotypes from tumors on breast magnetic resonance imaging to predict breast cancer pathologic stage. Cancer. 2016 Mar 01; 122(5):748-57.
    View in: PubMed
    Score: 0.036
  12. Using quantitative image analysis to classify axillary lymph nodes on breast MRI: a new application for the Z 0011 Era. Eur J Radiol. 2015 Mar; 84(3):392-397.
    View in: PubMed
    Score: 0.034
  13. Relationships between computer-extracted mammographic texture pattern features and BRCA1/2 mutation status: a cross-sectional study. Breast Cancer Res. 2014; 16(4):424.
    View in: PubMed
    Score: 0.033
  14. Computerized detection of breast cancer on automated breast ultrasound imaging of women with dense breasts. Med Phys. 2014 Jan; 41(1):012901.
    View in: PubMed
    Score: 0.032
  15. Radiographic texture analysis of densitometric calcaneal images: relationship to clinical characteristics and to bone fragility. J Bone Miner Res. 2010 Jan; 25(1):56-63.
    View in: PubMed
    Score: 0.024
  16. Reproducibility and sources of variability in radiographic texture analysis of densitometric calcaneal images. J Clin Densitom. 2008 Apr-Jun; 11(2):211-20.
    View in: PubMed
    Score: 0.021
  17. Differences in Molecular Subtype Reference Standards Impact AI-based Breast Cancer Classification with Dynamic Contrast-enhanced MRI. Radiology. 2023 04; 307(1):e220984.
    View in: PubMed
    Score: 0.015
  18. Tailoring steroids in the treatment of COVID-19 pneumonia assisted by CT scans: three case reports. J Xray Sci Technol. 2020; 28(5):885-892.
    View in: PubMed
    Score: 0.012
  19. Computerized analysis of lesions in US images of the breast. Acad Radiol. 1999 Nov; 6(11):665-74.
    View in: PubMed
    Score: 0.012
  20. Combined Benefit of Quantitative Three-Compartment Breast Image Analysis and Mammography Radiomics in the Classification of Breast Masses in a Clinical Data Set. Radiology. 2019 03; 290(3):621-628.
    View in: PubMed
    Score: 0.011
  21. Relationships Between Human-Extracted MRI Tumor Phenotypes of Breast Cancer and Clinical Prognostic Indicators Including Receptor Status and Molecular Subtype. Curr Probl Diagn Radiol. 2019 Sep - Oct; 48(5):467-472.
    View in: PubMed
    Score: 0.011
  22. [Prevalence of upper abdominal complaints and their effect on the quality of life and utilization of medical resources. Swiss Primary Care Group]. Schweiz Med Wochenschr. 1998 May 30; 128(22):874-9.
    View in: PubMed
    Score: 0.011
  23. Development of an improved CAD scheme for automated detection of lung nodules in digital chest images. Med Phys. 1997 Sep; 24(9):1395-403.
    View in: PubMed
    Score: 0.010
  24. Clinical significance of noncalcified lung nodules in patients with breast cancer. Breast Cancer Res Treat. 2016 Sep; 159(2):265-71.
    View in: PubMed
    Score: 0.009
  25. Long-term results of microcoil embolization for colonic haemorrhage: how common is rebleeding? Br J Radiol. 2015 Jul; 88(1051):20150203.
    View in: PubMed
    Score: 0.009
  26. Radiologically Guided Placement of Mushroom-retained Gastrostomy Catheters: Long-term Outcomes of Use in 300 Patients at a Single Center. Radiology. 2015 Aug; 276(2):588-96.
    View in: PubMed
    Score: 0.009
  27. Dual-lumen chest port infection rates in patients with head and neck cancer. Cardiovasc Intervent Radiol. 2015 Jun; 38(3):651-6.
    View in: PubMed
    Score: 0.008
  28. Comparison of barbed versus conventional sutures for wound closure of radiologically implanted chest ports. J Vasc Interv Radiol. 2014 Sep; 25(9):1433-8.
    View in: PubMed
    Score: 0.008
  29. Validation of quantitative analysis of multiparametric prostate MR images for prostate cancer detection and aggressiveness assessment: a cross-imager study. Radiology. 2014 May; 271(2):461-71.
    View in: PubMed
    Score: 0.008
  30. Quantitative analysis of multiparametric prostate MR images: differentiation between prostate cancer and normal tissue and correlation with Gleason score--a computer-aided diagnosis development study. Radiology. 2013 Jun; 267(3):787-96.
    View in: PubMed
    Score: 0.007
  31. Computerized analysis of mammographic parenchymal patterns on a large clinical dataset of full-field digital mammograms: robustness study with two high-risk datasets. J Digit Imaging. 2012 Oct; 25(5):591-8.
    View in: PubMed
    Score: 0.007
  32. Combined use of T2-weighted MRI and T1-weighted dynamic contrast-enhanced MRI in the automated analysis of breast lesions. Magn Reson Med. 2011 Aug; 66(2):555-64.
    View in: PubMed
    Score: 0.007
  33. Normal parenchymal enhancement patterns in women undergoing MR screening of the breast. Eur Radiol. 2011 Jul; 21(7):1374-82.
    View in: PubMed
    Score: 0.006
  34. Cancerous breast lesions on dynamic contrast-enhanced MR images: computerized characterization for image-based prognostic markers. Radiology. 2010 Mar; 254(3):680-90.
    View in: PubMed
    Score: 0.006
  35. DCEMRI of breast lesions: is kinetic analysis equally effective for both mass and nonmass-like enhancement? Med Phys. 2008 Jul; 35(7):3102-9.
    View in: PubMed
    Score: 0.005
  36. Radiographic texture analysis in the characterization of trabecular patterns in periprosthetic osteolysis. Acad Radiol. 2008 Feb; 15(2):176-85.
    View in: PubMed
    Score: 0.005
  37. Fractal analysis of mammographic parenchymal patterns in breast cancer risk assessment. Acad Radiol. 2007 May; 14(5):513-21.
    View in: PubMed
    Score: 0.005
  38. Automatic identification and classification of characteristic kinetic curves of breast lesions on DCE-MRI. Med Phys. 2006 Aug; 33(8):2878-87.
    View in: PubMed
    Score: 0.005
  39. Radiographic texture analysis of densitometer-generated calcaneus images differentiates postmenopausal women with and without fractures. Osteoporos Int. 2006 Oct; 17(10):1472-82.
    View in: PubMed
    Score: 0.005
  40. Robustness of computerized lesion detection and classification scheme across different breast US platforms. Radiology. 2005 Dec; 237(3):834-40.
    View in: PubMed
    Score: 0.005
  41. Computerized texture analysis of mammographic parenchymal patterns of digitized mammograms. Acad Radiol. 2005 Jul; 12(7):863-73.
    View in: PubMed
    Score: 0.004
  42. Comparison of radiographic texture analysis from computed radiography and bone densitometry systems. Med Phys. 2004 Apr; 31(4):882-91.
    View in: PubMed
    Score: 0.004
  43. Computerized analysis of digitized mammograms of BRCA1 and BRCA2 gene mutation carriers. Radiology. 2002 Nov; 225(2):519-26.
    View in: PubMed
    Score: 0.004
  44. Automated detection of lung nodules in CT scans: preliminary results. Med Phys. 2001 Aug; 28(8):1552-61.
    View in: PubMed
    Score: 0.003
  45. Automated registration of frontal and lateral radionuclide lung scans with digital chest radiographs. Acad Radiol. 2000 Jul; 7(7):530-9.
    View in: PubMed
    Score: 0.003
  46. Normalized BMD as a predictor of bone strength. Acad Radiol. 2000 Jan; 7(1):33-9.
    View in: PubMed
    Score: 0.003
  47. Computerized radiographic texture measures for characterizing bone strength: a simulated clinical setup using femoral neck specimens. Med Phys. 1999 Nov; 26(11):2295-300.
    View in: PubMed
    Score: 0.003
  48. Multifractal radiographic analysis of osteoporosis. Med Phys. 1994 Apr; 21(4):503-8.
    View in: PubMed
    Score: 0.002
  49. Computerized radiographic analysis of osteoporosis: preliminary evaluation. Radiology. 1993 Feb; 186(2):471-4.
    View in: PubMed
    Score: 0.002
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.