2.2k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- National Institutes of HealthUS35 papers
- Center for Cancer ResearchUS19 papers
- Frederick National Laboratory for Cancer ResearchUS13 papers
- University of PennsylvaniaUS11 papers
- Division of Cancer Epidemiology and Genetics9 papers
- University of ZurichCH9 papers
- Harvard UniversityUS8 papers
- National Institutes of Health Clinical CenterUS8 papers
- Johns Hopkins UniversityUS6 papers
- Leidos (United States)US6 papers
- National Institute of Allergy and Infectious DiseasesUS6 papers
- Northwestern UniversityUS6 papers
6 papers · 1 filter
Increasing efficiency and reducing bias when assessing HPV vaccination efficacy by using non-targeted HPV strains
Lola Etievant, Joshua N. Sampson, Mitchell H. Gail
Studies of vaccine efficacy often record both the incidence of vaccine-targeted virus strains (primary outcome) and the incidence of non-targeted strains (secondary outcome). Howev…
Metrics reloaded: Recommendations for image analysis validation
Lena Maier-Hein, Annika Reinke, Patrick Godau +71
Increasing evidence shows that flaws in machine learning (ML) algorithm validation are an underestimated global problem. Particularly in automatic biomedical image analysis, chosen…
Confidence Intervals for Prevalence Estimates from Complex Surveys with Imperfect Assays
Damon Bayer, Michael Fay, Barry Graubard
We present several related methods for creating confidence intervals to assess disease prevalence in variety of survey sampling settings. These include simple random samples with i…
A SSIM Guided cGAN Architecture For Clinically Driven Generative Image Synthesis of Multiplexed Spatial Proteomics Channels
Jillur Rahman Saurav, Mohammad Sadegh Nasr, Paul Koomey +7
Here we present a structural similarity index measure (SSIM) guided conditional Generative Adversarial Network (cGAN) that generatively performs image-to-image (i2i) synthesis to g…
Data augmentation and multimodal learning for predicting drug response in patient-derived xenografts from gene expressions and histology images
Alexander Partin, Thomas Brettin, Yitan Zhu +7
Patient-derived xenografts (PDXs) are an appealing platform for preclinical drug studies because the in vivo environment of PDXs helps preserve tumor heterogeneity and usually bett…
Federated Learning Enables Big Data for Rare Cancer Boundary Detection
Sarthak Pati, Ujjwal Baid, Brandon Edwards +276
Although machine learning (ML) has shown promise in numerous domains, there are concerns about generalizability to out-of-sample data. This is currently addressed by centrally shar…