7.2k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Mayo Clinic in ArizonaUS31 papers
- WinnMedUS22 papers
- Mayo ClinicUS20 papers
- Massachusetts General HospitalUS9 papers
- Emory UniversityUS7 papers
- The University of Texas Health Science Center at HoustonUS7 papers
- Yale UniversityUS7 papers
- Harvard UniversityUS6 papers
- University of PennsylvaniaUS6 papers
- Arizona State UniversityUS5 papers
- Cornell UniversityUS4 papers
- Jacksonville CollegeUS4 papers
6 papers · 1 filter
Deep-LIBRA: Artificial intelligence method for robust quantification of breast density with independent validation in breast cancer risk assessment
Omid Haji Maghsoudi, Aimilia Gastounioti, Christopher Scott +7
Breast density is an important risk factor for breast cancer that also affects the specificity and sensitivity of screening mammography. Current federal legislation mandates report…
Federated Learning for Breast Density Classification: A Real-World Implementation
Holger R. Roth, Ken Chang, Praveer Singh +40
Building robust deep learning-based models requires large quantities of diverse training data. In this study, we investigate the use of federated learning (FL) to build medical ima…
A Pathologist-Annotated Dataset for Validating Artificial Intelligence: A Project Description and Pilot Study
Sarah N Dudgeon, Si Wen, Matthew G Hanna +19
Purpose: In this work, we present a collaboration to create a validation dataset of pathologist annotations for algorithms that process whole slide images (WSIs). We focus on data…
Brain volume: An important determinant of functional outcome after acute ischemic stroke
Markus D. Schirmer, Kathleen L. Donahue, Marco J. Nardin +38
Objective: To determine whether brain volume is associated with functional outcome after acute ischemic stroke (AIS). Methods: We analyzed cross-sectional data of the multi-site, i…
Attacking COVID-19 Progression using Multi-Drug Therapy for Synergetic Target Engagement
Mathew Coban, Juliet Morrison PhD, William D. Freeman MD +3
COVID-19 is a devastating respiratory and inflammatory illness caused by a new coronavirus that is rapidly spreading throughout the human population. Over the past 6 months, severe…
Robust Automatic Whole Brain Extraction on Magnetic Resonance Imaging of Brain Tumor Patients using Dense-Vnet
Sara Ranjbar, Kyle W. Singleton, Lee Curtin +5
Whole brain extraction, also known as skull stripping, is a process in neuroimaging in which non-brain tissue such as skull, eyeballs, skin, etc. are removed from neuroimages. Skul…