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84 results on '"Sherman, Mark E"'

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1. p53 and ovarian carcinoma survival: an Ovarian Tumor Tissue Analysis consortium study

3. Towards defining morphologic parameters of normal parous and nulliparous breast tissues by artificial intelligence

4. Towards defining morphologic parameters of normal parous and nulliparous breast tissues by artificial intelligence

5. Common variants in breast cancer risk loci predispose to distinct tumor subtypes

6. Automated quantification of levels of breast terminal duct lobular (TDLU) involution using deep learning

7. Common variants in breast cancer risk loci predispose to distinct tumor subtypes

8. Automated quantification of levels of breast terminal duct lobular (TDLU) involution using deep learning

9. Common variants in breast cancer risk loci predispose to distinct tumor subtypes

13. Towards defining morphologic parameters of normal parous and nulliparous breast tissues by artificial intelligence

14. Automated quantification of levels of breast terminal duct lobular (TDLU) involution using deep learning

15. Common variants in breast cancer risk loci predispose to distinct tumor subtypes

16. Common variants in breast cancer risk loci predispose to distinct tumor subtypes

17. Towards defining morphologic parameters of normal parous and nulliparous breast tissues by artificial intelligence

18. Serum hormone levels and normal breast histology among premenopausal women

19. Towards defining morphologic parameters of normal parous and nulliparous breast tissues by artificial intelligence

20. Assessing interactions between the associations of common genetic susceptibility variants, reproductive history and body mass index with breast cancer risk in the breast cancer association consortium: a combined case-control study

21. Common variants in breast cancer risk loci predispose to distinct tumor subtypes

22. Automated quantification of levels of breast terminal duct lobular (TDLU) involution using deep learning

23. Automated quantification of levels of breast terminal duct lobular (TDLU) involution using deep learning

24. Genome-wide association study identifies 32 novel breast cancer susceptibility loci from overall and subtype-specific analyses

25. Development and Validation of the Gene Expression Predictor of High-grade Serous Ovarian Carcinoma Molecular SubTYPE (PrOTYPE).

26. Genome-wide association study identifies 32 novel breast cancer susceptibility loci from overall and subtype-specific analyses

27. Development and Validation of the Gene Expression Predictor of High-grade Serous Ovarian Carcinoma Molecular SubTYPE (PrOTYPE).

28. Genome-wide association study identifies 32 novel breast cancer susceptibility loci from overall and subtype-specific analyses

29. Antibodies Against Chlamydia trachomatis and Ovarian Cancer Risk in Two Independent Populations

30. Application of convolutional neural networks to breast biopsies to delineate tissue correlates of mammographic breast density

31. Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes

32. Antibodies Against Chlamydia trachomatis and Ovarian Cancer Risk in Two Independent Populations

33. Application of convolutional neural networks to breast biopsies to delineate tissue correlates of mammographic breast density

34. Application of convolutional neural networks to breast biopsies to delineate tissue correlates of mammographic breast density

35. Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes

36. Using deep convolutional neural networks to identify and classify tumor-associated stroma in diagnostic breast biopsies

37. Using deep convolutional neural networks to identify and classify tumor-associated stroma in diagnostic breast biopsies

38. Using deep convolutional neural networks to identify and classify tumor-associated stroma in diagnostic breast biopsies

39. Pathologic findings at risk-reducing salpingo-oophorectomy: primary results from Gynecologic Oncology Group Trial GOG-0199.

40. Association analysis identifies 65 new breast cancer risk loci.

41. Association analysis identifies 65 new breast cancer risk loci

42. Association analysis identifies 65 new breast cancer risk loci

43. Deep learning-based assessment of tumor-associated stroma for diagnosing breast cancer in histopathology images

44. Breast cancer risk variants at 6q25 display different phenotype associations and regulate ESR1, RMND1 and CCDC170

45. Breast cancer risk variants at 6q25 display different phenotype associations and regulate ESR1, RMND1 and CCDC170

46. Breast cancer risk variants at 6q25 display different phenotype associations and regulate ESR1, RMND1 and CCDC170

47. Investigation of gene-environment interactions between 47 newly identified breast cancer susceptibility loci and environmental risk factors.

48. Performance of automated scoring of ER, PR, HER2, CK5/6 and EGFR in breast cancer tissue microarrays in the Breast Cancer Association Consortium

49. Genetic Predisposition to In Situ and Invasive Lobular Carcinoma of the Breast

50. Genetic variation at CYP3A is associated with age at menarche and breast cancer risk: a case-control study

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