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2 results on '"Mosunjac, Marina"'

1. The EMory BrEast imaging Dataset (EMBED): A Racially Diverse, Granular Dataset of 3.5M Screening and Diagnostic Mammograms

Author

Jeong, Jiwoong J., Vey, Brianna L., Reddy, Ananth, Kim, Thomas, Santos, Thiago, Correa, Ramon, Dutt, Raman, Mosunjac, Marina, Oprea-Ilies, Gabriela, Smith, Geoffrey, Woo, Minjae, McAdams, Christopher R., Newell, Mary S., Banerjee, Imon, Gichoya, Judy, and Trivedi, Hari

Subjects
FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Vision and Pattern Recognition (cs.CV), Image and Video Processing (eess.IV), Computer Science - Computer Vision and Pattern Recognition, FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Image and Video Processing, Machine Learning (cs.LG)
Abstract

Developing and validating artificial intelligence models in medical imaging requires datasets that are large, granular, and diverse. To date, the majority of publicly available breast imaging datasets lack in one or more of these areas. Models trained on these data may therefore underperform on patient populations or pathologies that have not previously been encountered. The EMory BrEast imaging Dataset (EMBED) addresses these gaps by providing 3650,000 2D and DBT screening and diagnostic mammograms for 116,000 women divided equally between White and African American patients. The dataset also contains 40,000 annotated lesions linked to structured imaging descriptors and 61 ground truth pathologic outcomes grouped into six severity classes. Our goal is to share this dataset with research partners to aid in development and validation of breast AI models that will serve all patients fairly and help decrease bias in medical AI.

Published
2022
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2. Prognostic biomarkers in patients with human immunodeficiency virus-positive disease with head and neck squamous cell carcinoma

Author

Zhang, Hongzheng, Kim, Sungjin, Chen, Zhengjia, Nannapaneni, Sreenivas, Chen, Amy Y, Moore, Charles E, Sica, Gabriel, Mosunjac, Marina, Nguyen, Minh Ly T, D'Souza, Gypsyamber, Carey, Thomas E, Peterson, Lisa A, McHugh, Jonathan B, Graham, Martin, Komarck, Christine M, Wolf, Gregory T, Walline, Heather M, Bellile, Emily, Riddell, James, Pai, Sara I, Sidransky, David, Westra, William H, William, William N, Lee, J Jack, El-Naggar, Adel K, Ferris, Robert L, Seethala, Raja, Grandis, Jennifer R, Chen, Zhuo Georgia, Saba, Nabil F, Shin, Dong M, and Head and Neck Cancer SPORE HIV supplement consortium

Subjects
Adult, Male, Clinical Sciences, HIV Infections, Kaplan-Meier Estimate, Risk Assessment, survival, Disease-Free Survival, Transforming Growth Factor beta1, Rare Diseases, Clinical Research, Cause of Death, HIV Seropositivity, 80 and over, Humans, 2.1 Biological and endogenous factors, Dental/Oral and Craniofacial Disease, Aetiology, Proportional Hazards Models, Retrospective Studies, Aged, Cancer, Tumor, human immunodeficiency virus, Squamous Cell Carcinoma of Head and Neck, Prevention, Carcinoma, biomarkers, Middle Aged, Prognosis, Combined Modality Therapy, Survival Analysis, Treatment Outcome, Logistic Models, Good Health and Well Being, Squamous Cell, Otorhinolaryngology, Head and Neck Neoplasms, Case-Control Studies, Dentistry, Multivariate Analysis, HIV/AIDS, Head and Neck Cancer SPORE HIV supplement consortium, Female, head and neck cancer
Abstract

BackgroundWe examined the prognostic value of a panel of biomarkers in patients with squamous cell carcinoma of the head and neck (SCCHN) who were human immunodeficiency virus (HIV) positive (HIV-positive head and neck cancer) and HIV negative (HIV-negative head and neck cancer).MethodsTissue microarrays (TMAs) were constructed using tumors from 41 disease site-matched and age-matched HIV-positive head and neck cancer cases and 44 HIV-negative head and neck cancer controls. Expression of tumor biomarkers was assessed by immunohistochemistry (IHC) and correlations examined with clinical variables.ResultsExpression levels of the studied oncogenic and inflammatory tumor biomarkers were not differentially regulated by HIV status. Among patients with HIV-positive head and neck cancer, laryngeal disease site (P = .003) and Clavien-Dindo classification IV (CD4) counts

Published
2017

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