36 results on '"Marks, Jeffrey"'
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2. Abstract PO-232: Racial differences in the tumor immune landscape and survival of high-grade serous ovarian carcinoma
3. Abstract PR02: Inferring the evolutionary dynamics of ductal carcinoma in situ through multi-regional sequencing and mathematical modeling
4. A multitask deep learning method in simultaneously predicting occult invasive disease in ductal carcinoma in-situ and segmenting microcalcifications in mammography
5. Microcalcification localization and cluster detection using unsupervised convolutional autoencoders and structural similarity index
6. Abstract P1-21-07: The Patient-reported Outcomes after Routine Treatment of Atypical Lesions (PORTAL) study: Pain, psychosocial wellbeing, and quality of life among women undergoing guideline concordant care for DCIS vs. active surveillance for in situ and atypical lesions
7. Abstract P1-06-02: Characterization of gene- and sample-level APOBEC mutagenesis enrichment with respect to intrinsic subtypes, tumor mutational burden, and immune composition in breast cancer
8. Abstract P3-06-09: Incidence of ROS1 genomic alterations in breast cancer
9. Abstract P2-10-18: Deciphering racial disparities in breast cancer collagen reorganization by targeted extracellular matrix proteomics
10. Multiview mammographic mass detection based on a single shot detection system
11. Malignant microcalcification clusters detection using unsupervised deep autoencoders
12. Synthesis and texture manipulation of screening mammograms using conditional generative adversarial network
13. Abstract 5318: High-grade serous ovarian cancer DNA methylation and survival in African-American women
14. Improving classification with forced labeling of other related classes: application to prediction of upstaged ductal carcinoma in situ using mammographic features
15. Learning better deep features for the prediction of occult invasive disease in ductal carcinoma in situ through transfer learning
16. Malignant Microcalcification Clusters Detection using Unsupervised Deep Autoencoders.
17. Synthesis and Texture Manipulation of Screening Mammograms using Conditional Generative Adversarial Network.
18. Multiview Mammographic Mass Detection based on a Single Shot Detection System.
19. Abstract 778: Identifying, subtyping and classifying tumor associated circulating endothelial cells in patients with solid tumors
20. Can BI-RADS features on mammography be used as a surrogate for expensive genomic testing in breast cancer patients?
21. Prediction of occult invasive disease in ductal carcinoma in situ using computer-extracted mammographic features
22. Can upstaging of ductal carcinoma in situ be predicted at biopsy by histologic and mammographic features?
23. Learning better deep features for the prediction of occult invasive disease in ductal carcinoma in situ through transfer learning.
24. Improving Classification with Forced Labeling of Other Related Classes: Application to Prediction of Upstaged Ductal Carcinoma in situ Using Mammographic Features.
25. Abstract 5165: Cancer associated macrophage-like cells as a blood-based biomarker for the screening of solid tumors
26. Abstract 1570: Early Detection Research Network (EDRN) validation of circulating ovarian cancer biomarkers
27. Patterning in the era of atomic scale fidelity
28. Evaluation of the Microsoft Kinect for screening ACL injury
29. Decision Fusion of Circulating Markers for Breast Cancer Detection in Premenopausal Women
30. Simulation of casualty sustainment during naval combat operations
31. Introduction of a new high-density plasma reactor concept for high-aspect-ratio oxide etching
32. In Situ Planarization Of Dielectric Surfaces Using Boron Oxide
33. A multitask deep learning method in simultaneously predicting occult invasive disease in ductal carcinoma in-situ and segmenting microcalcifications in mammography.
34. Microcalcification localization and cluster detection using unsupervised convolutional autoencoders and structural similarity index.
35. Can BI-RADS features on mammography be used as a surrogate for expensive genomic testing in breast cancer patients?
36. Photoassisted Deposition of Silicon Dioxide from Silane and Nitrogen Dioxide.
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